METHOD AND SYSTEM FOR MANAGING A FLEET OF COMPUTING INFRASTRUCTURES

A computer-implemented method for managing a fleet of computing infrastructures is presented. Each computing infrastructure comprising an orchestration module configured to deploy and manage applications using declarative configuration files defining a state of each application, associated dependencies, and components. The method includes storing a configuration file for each of the computing infrastructures; managing data of the configuration files in a hierarchical manner; monitoring a version control system module for updates to the configuration files, defining the configuration of the computing infrastructures to include interactions between the components, and applying the updated configuration files to the computer infrastructures; and generating a template for the declarative configuration files that defines the configuration and interactions of components and create and store artifacts of the declarative configuration files. Therefore, at predetermined intervals, the configuration module automatically deploys the configurations by accessing the stored artifacts and executing the declarative configuration files of the computing infrastructures.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application claims priority to European Patent App. EP 24305690.0 filed on Apr. 30, 2024 and to European Patent App. EP 24306426.8 filed on Aug. 30, 2024, the entirety of the contents therein being incorporated by reference.

FIELD

The present technology generally relates to the field of datacenter computing components and, in particular, to the management distributed computing infrastructures based on automated processes for configuring related components.

BACKGROUND

Datacenters have become essential for businesses and organizations to store, process, and manage large amounts of digital information. The amount of digital information that needs to be processed and managed has grown to the level that, in some cases, datacenters may lease their computer equipment/infrastructures to other organizations and facilities that require additional storage and processing resources. However, these leasing arrangements may present certain challenges in terms of operational management and remote control software. As such, traditional methods of configuring, deploying, managing, and securing computer infrastructures may present challenges to such offsite implementations.

For example, traditional methods of managing infrastructure, such as manual configuration are no longer sufficient to meet the demands of modern IT environments. One of the primary challenges in managing infrastructure at scale is ensuring consistency and reliability across multiple data centers. Manual configuration process introduces the risk of errors, inconsistencies, and configuration drift between different environments. These issues can lead to downtime, reduced performance, and increased operational costs.

Another challenge is the need for efficient and automated deployment workflows. With the rapid pace of software development and release cycles, manual deployment processes are no longer able to keep up with the demands of modern IT operations. Automated deployment workflows are essential for ensuring that infrastructure is deployed consistently and reliably across multiple environments, reducing the risk of errors and downtime.

Security is another major concern in managing infrastructure at scale. With the increasing number and complexity of infrastructure components, it is becoming increasingly difficult to ensure that all configurations are secure, and that sensitive data is protected. Access control and encryption keys must be managed effectively to prevent unauthorized access and data breaches.

Monitoring performance and resource utilization is also useful for ensuring the health and availability of infrastructure at scale. With so many components and services, it can be challenging to gain visibility into the performance and behaviour of each component, making it difficult to identify and address issues before they become critical.

Given these challenges, there appears to a need for a more efficient, automated, secure and scalable approach to managing computer infrastructures at scale and, in particular, of infrastructures that are deployed offsite.

It is, therefore, an objective of the present technology to overcome at least partially these drawbacks.

SUMMARY

The present technology has been designed to overcome at least some drawbacks present in prior art solutions.

According to an embodiment, the present technology refers to a computer-implemented method for managing multiple computing infrastructures. The method includes accessing instructions from a computer-readable medium that, upon execution by a processor, causes the functioning of several software components.

One of these software components is a version control system module, which manages configuration files for each infrastructure and can be configured to enable branching, merging, history tracking, access control, and permissions management. Another software component is a hierarchical configuration module that stores and manages configuration data in a hierarchical manner.

Another software component is an infrastructure orchestration module configured to deploy and manage applications using declarative configuration files; it can also be configured to scale applications based on resource utilization and demand, restart failed containers, and distribute traffic for load balancing and fault tolerance.

Preferably, a configuration module monitors the version control system for changes, pulls updated configurations, validates their syntax and semantics, and applies them to target infrastructure using at least one orchestrated deployment strategy. Optionally, an applications packaging module packages applications and dependencies into reusable templates designed for multiple infrastructure installations, supports dependency management, and defines infrastructure components using declarative configuration files.

An assembling module defines dependencies between different components and libraries; It can also be configured to use a single build file to define the entire build process, and deploy and configures computing components using templates. The method also includes storing and managing configuration data in a centralized repository, deploying and configuring computing components, monitoring performance and resource utilization, and implementing security measures for access control and encryption keys.

Optionally, a metric storing module collects metrics from monitored infrastructure components, stores them in a time series database, provides a web interface, supports automatic discovery of new components, and enables alerting based on predefined rules. Optionally, a metric aggregator module collects and aggregates metrics from multiple instances, stores data using local and remote storage, and implements automated retention policies.

According to an embodiment, the present technology relates to a computer-implemented method for managing at least one fleet of computing infrastructures, each computing infrastructure comprising an infrastructure orchestration module, preferably the computing infrastructure being on-premise, the method comprising: accessing a computer-readable medium comprising instructions which, upon being operated by a processor, causes the execution of software components comprising:

According to an example, the version control system module (510) is further configured to: Enable branching and merging of configuration files; and/or Enable access control and permissions management.

According to an example, the infrastructure orchestration module (530) is further configured to: Automatically scale applications based on resource utilization and demand; and/or Automatically restart containers that fail or become unresponsive, and/or Distribute traffic across multiple replicas for load balancing and fault tolerance.

According to an example, the configuration module is further configured to validate the syntax and semantics of the updated configurations from the repository.

According to an example, the software components further comprise an applications packaging module (560) configured to: Package applications and their dependencies into reusable templates designed to be installed and upgraded across multiple computing infrastructures in the fleet; Use values files to customize the configuration of each installation based on specific requirements of each computing infrastructure; Support dependency management; Define infrastructure components using declarative configuration files; Enable automated computing infrastructure deployment and configuration.

According to an example, the software components further comprise a policy module configured to validate or not the application of the update.

According to an example, the policy module comprising the set of rules.

According to an example, the present technology comprises, before applying the updates to the target computer infrastructure using an orchestrated deployment strategy according to a predetermined set of rules, a step of validation by a user of the updates.

According to an example, the assembling module is further configured to use a single build file to define the entire build process, including compilation, testing, and deployment steps.

According to an example, the applications, deployed and managed by the infrastructure orchestration module, are containerized.

According to an embodiment, the present technology relates to a computer-implemented method for managing multiple computing infrastructures, preferably on-premise. The method comprises several software components that work together to provide efficient and automated management of these infrastructures.

According to an embodiment, the version control system module (GIT) is configured to store and manage configuration files for each infrastructure. This enables branching and merging of configuration files, provides a history of all changes made, and allows for access control and permissions management. The use of a version control system ensures that configurations are tracked and can be easily rolled back if necessary.

According to an embodiment, the hierarchical configuration module (Hieradata) is configured to manage configuration data in a hierarchical manner. This enables easy organization and management of complex configurations. The use of a hierarchical configuration system allows for the separation of concerns and simplifies the management of large and complex infrastructure configurations.

According to an embodiment, the infrastructure orchestration module (Kubernetes) is configured to deploy and manage containerized applications using declarative configuration files. This enables automatic scaling based on resource utilization and demand, as well as automatic restarting of failed containers and load balancing across multiple replicas for fault tolerance. The use of this infrastructure orchestration module ensures that applications are deployed consistently across the fleet of computing infrastructures.

Optionally, a metric storing module (Prometheus) is configured to collect metrics from monitored infrastructure components and store them in a time series database. This enables later querying and analysis of metrics data with a predetermined retention period. The use of this metric storing module provides valuable insights into the performance and resource utilization of the computing infrastructure, enabling proactive management and optimization.

Optionally, a metric aggregator module (Thanos) is configured to collect and aggregate metrics from multiple instances of the metric storing module running in each infrastructure. This enables automated data retention policies based on predefined rules and provides an overall view of the status of all computing infrastructures. The use of this metric aggregator module ensures that metrics data is consolidated and easily accessible for analysis.

According to an embodiment, a configuration module (Flux) is configured to monitor the configuration repository for changes and apply updates to the target infrastructure using an orchestrated deployment strategy. This enables automated deployment and configuration of new configurations across multiple computing infrastructures. The use of this configuration module ensures that configurations are applied consistently and efficiently.

Optionally, an applications packaging module (Helm/Terraform) is used to package applications and their dependencies into reusable templates for installation and upgrades across the fleet of computing infrastructures. This enables dependency management and customization of the configuration of each installation based on specific requirements of each infrastructure. The use of this applications packaging module ensures that applications are deployed consistently and efficiently across the fleet.

According to an embodiment, an assembling module (Bazel) is used to define dependencies between different components and libraries and to define the entire build process using a single build file. This enables automated deployment and configuration of computing components using templates for infrastructure resources. The use of this assembling module ensures that the build process is streamlined and efficient, reducing the time and effort required to deploy and configure new infrastructure components.

The technical advantages of this method include efficient and automated management of multiple computing infrastructures, consistent deployment and configuration of applications and infrastructure components, easy organization and management of complex configurations, valuable insights into performance and resource utilization, and streamlined and efficient build processes. The use of a combination of software components working together enables the automation of many tasks involved in managing computing infrastructures, reducing the time and effort required and increasing the reliability and consistency of the infrastructure management process.

According to a broad aspect, the present technology relates to a computer-implemented method for managing at least one fleet of computing infrastructures, preferably the computing infrastructure being on-premise, the method comprising: Defining computing infrastructure resources using a template for automated deployment and configuration of a component, the defining step comprising:

For each computing infrastructure, pulling the artifact from the repository and applying the artifact: At predetermined intervals, preferably regular, reading artifacts and propagating changes to a computing infrastructure.

According to another aspect, the present technology relates to a computer-readable storage medium storing instructions that enable a processing system to execute specific functions upon being read and executed. In more detail, this embodiment involves a non-transitory memory device, such as a hard disk, solid-state drive, or compact disc, comprising program instructions. Upon execution by a processing system, these instructions cause a processing system to carry out the steps defined by the present technology. By providing a computer-readable storage medium with the necessary instructions, the present technology enables the implementation and execution of these methods on different processing systems.

According to another aspect, the present technology relates to a computer-readable storage medium storing instructions that, upon being executed by a processing system, cause the processing system to perform the steps of the present technology.

According to an embodiment, the present technology relates to a processing system for for managing at least one fleet of computing infrastructures. This system includes a processor, a computer-readable medium with instructions for executing version control, hierarchical configuration, infrastructure orchestration, metric storing, metric aggregating, and configuration modules.

According to an embodiment, the version control module manages configuration files, supports branching and merging, provides access control and permissions management, and implements security measures.

According to an embodiment, the hierarchical configuration module writes, stores, and manages configuration data in a hierarchical manner, creates templates with tree structures and multi-type fields, and writes configurations according to a predetermined order.

According to an embodiment, the infrastructure orchestration module deploys and manages containerized applications using declarative configuration files, automatically scales applications, restarts failed containers, and distributes traffic for load balancing and fault tolerance.

According to an embodiment, the metric storing module collects metrics from computing infrastructure components, stores them in a time series database, provides a web interface, supports automated discovery of new components, and enables alerting and backups.

According to an embodiment, the metric aggregator module collects and aggregates metrics from multiple instances, uses local and remote storage, and implements automated data retention policies.

According to an embodiment, the configuration module monitors the configuration repository for changes, pulls updated configurations, validates their syntax and semantics, and applies updates using an orchestrated deployment strategy.

According to an embodiment, the applications packaging module packages applications and dependencies into reusable templates, customizes configurations based on specific requirements, supports dependency management, defines infrastructure components using declarative files, and enables automated deployment and configuration.

According to an embodiment, the assembling module defines dependencies between components and libraries, uses a single build file for the entire build process, and deploys and configures computing components.

According to an embodiment, the present technology relates to a processing system for managing at least one fleet of computing infrastructures,), each computing infrastructure (10) comprising an infrastructure orchestration module, preferably the computing infrastructures being on-premise, comprising at least: a processor; a computer-readable medium comprising instructions which, upon being operated by the processor, causes the execution of software components comprising:

According to an embodiment, the present technology relates to a processing system for for managing at least one fleet of computing infrastructures. The system comprises various software components that enable efficient and secure deployment, configuration, and monitoring of computing infrastructure.

According to an embodiment, the version control system module (GIT) provides a centralized repository for storing and managing configuration files for each computing infrastructure. It enables branching and merging of configuration files, allowing for easy collaboration and rollback of changes. The history of all changes made to the configuration files is maintained, enabling tracking of modifications over time. Access control and permissions management ensure that only authorized users can make changes to the configuration files. Security measures such as encryption keys are implemented to protect the data stored in the repository.

According to an embodiment, the hierarchical configuration module (Hieradata) allows for the storage and management of configuration data in a hierarchical manner. Templates of declarative configuration files are created, each comprising a tree structure, multiple fields with sub-fields, and variables that can be factorized and referenced by other variables. Configurations are written by completing at least partially considered templates according to a predetermined hierarchical order. This approach simplifies the management of complex configurations and reduces errors.

According to an embodiment, the infrastructure orchestration module (Kubernetes) enables automated deployment, scaling, and management of containerized applications using declarative configuration files. It automatically restarts containers that fail or become unresponsive and distributes traffic across multiple replicas for load balancing and fault tolerance. This results in increased efficiency, reliability, and availability of the computing infrastructure.

Optionally, a metric storing module (Prometheus) collects metrics from monitored computing infrastructure components and stores them in a time series database for later querying and analysis. It provides a web interface for visualizing and exploring metrics data and supports automated discovery of new computing infrastructure components. The module enables alerting based on predefined rules, enabling proactive response to potential issues. Automated backups and restores of the metrics data ensure data availability and integrity.

Optionally, a metric aggregator module (Thanos) collects and aggregates metrics from multiple metric storing module instances running in each computing infrastructure. It stores metrics using a combination of local storage and remote object storage, enabling efficient data management and retrieval. Automated data retention policies based on predefined rules ensure that only necessary data is retained, reducing storage requirements and costs.

According to an embodiment, the configuration module (Flux) monitors the configuration repository for changes and detects when new configurations are pushed. It pulls the updated configurations from the repository and validates their syntax and semantics before applying them to the target computer infrastructure using an orchestrated deployment strategy. This approach ensures that only valid and tested configurations are deployed, reducing the risk of errors and downtime.

Optionally, an applications packaging module (Helm/Terraform) packages applications and their dependencies into reusable templates designed to be installed and upgraded across multiple computing infrastructures in the fleet. It uses values files to customize the configuration of each installation based on specific requirements of each computing infrastructure, enabling tailored deployments. Dependency management ensures that all necessary components are deployed together, reducing the risk of compatibility issues.

According to an embodiment, the assembling module (Bazel) defines dependencies between different components and libraries and uses a single build file to define the entire build process, including compilation, testing, and deployment steps. It deploys and configures computing components, enabling efficient and automated infrastructure deployment and configuration. This approach reduces the time and effort required for infrastructure setup and maintenance.

According to another aspect, the present technology relates to a management system for a fleet of distributed computing infrastructures, the management system comprising:

According to another aspect, the present technology relates to a method for reporting a state of a server in a computing infrastructure comprising at least one server, the method comprising:

According to another aspect, the present technology relates to a method for managing a fleet of distributed data centres, the method comprising:

Before providing below a detailed review of embodiments of the technology, some optional characteristics that may be used in association or alternatively will be listed hereinafter:

According to an example, the order of priority is from the trunk of the tree structure to the leaf of the tree structure.

The hierarchical configuration module writes configurations by completing at least partially considered templates according to a predetermined hierarchical order, where the order of priority is from the trunk of the tree structure to the leaf of the tree structure. This allows for more efficient and organized configuration management, as variables are written in a logical and predictable manner. Additionally, this approach enables easier debugging and troubleshooting by allowing administrators to identify and isolate issues at specific levels of the hierarchy.

According to an example, each computing infrastructure has its own configuration module, and wherein each configuration module is configured for a directory in the repository given in a specific branch of the repository.

This allows each computing infrastructure to be managed separately, allowing for customized configurations without affecting other infrastructures.

This allows also new computing infrastructures to be added or removed without impacting the overall system, as each has its own configuration module.

This allows changes to each infrastructure's configuration to be tracked in a specific branch of the repository, ensuring version control and auditability.

These technical advantages enable efficient management, scalability, and flexibility in managing multiple computing infrastructures with unique configurations.

According to an example, the version control system module is further configured to:

This enables tracking of changes made to configuration files over time, facilitating debugging and troubleshooting.

This minimizes the risk of errors caused by manual updates or overwrites of configuration files.

This supports experimentation with different configurations without affecting the main project codebase.

This restricts access to sensitive configuration files and ensures that only authorized personnel can modify them.

This helps organizations meet regulatory requirements by controlling who has access to specific configuration files.

This provides a record of all changes made to configuration files, enabling auditing and compliance tracking.

This enables administrators to define roles and permissions, ensuring that configuration files are managed in accordance with organizational policies.

These features provide significant technical advantages by promoting collaboration, reducing errors, improving security, and enhancing governance.

According to an example, the infrastructure orchestration module (530) is further configured to:

This allows to dynamically adjust resource allocation to match changing application demands, reducing waste and optimizing utilization.

This ensures that applications have sufficient resources to handle increased traffic or workload, maintaining responsiveness and throughput.

This allows to automatically scale down during periods of low demand, minimizing unnecessary resource consumption and associated costs.

This enables rapid response to changing business needs by quickly scaling up or down as required.

This ensures that applications remain available even in the event of container failures or crashes, maintaining uptime and minimizing downtime.

This reduces the risk of data loss or corruption by automatically restarting containers and ensuring that they are in a consistent state.

This minimizes the impact of container failures on application availability and user experience.

This provides visibility into container failures, enabling faster identification and resolution of issues.

This ensures that applications remain responsive even under heavy loads by distributing traffic across multiple replicas.

This enables applications to handle increased traffic or workload by adding more replicas as needed.

This provides fault tolerance by automatically routing traffic around failed or unresponsive replicas, maintaining application availability.

This minimizes latency by ensuring that requests are processed quickly and efficiently across multiple replicas.

According to an example, the configuration module is further configured to validate the syntax and semantics of the updated configurations from the repository.

The configuration module validates the syntax and semantics of updated configurations from the repository, ensuring that changes are correct and consistent. This prevents errors and ensures efficient deployment of computing infrastructures with unique configurations.

According to an example, the software components further comprise an applications packaging module configured to:

The applications packaging module enables the creation of reusable templates that can be installed and upgraded across multiple computing infrastructures, facilitating efficient scaling of the fleet.

Customization of configuration through values files allows for tailored installations based on specific requirements of each infrastructure, ensuring adaptability to diverse environments.

This module supports dependency management, streamlining the process of tracking and resolving dependencies between applications and their components.

Automated deployment and configuration using declarative configuration files reduce manual effort and minimize errors associated with traditional scripting-based approaches.

The use of reusable templates and automated deployment enables easier maintenance and updates across the fleet, reducing downtime and improving overall system reliability.

According to an example, the software components further comprise a policy module configured to validate or not the application of the update.

The validation of updates before deployment ensures that only authorized and validated changes are applied.

The customizable rules-based validation allows for tailored security and compliance checks.

These features enable secure and controlled update management, minimizing the risk of unauthorized or malicious changes to the system.

The automated validation process reduces manual errors and increasing efficiency.

According to an example, the policy module comprising the set of rules.

The policy module comprising the set of rules enables validation or rejection of updates based on predetermined criteria, ensuring that only authorized and compliant changes are applied to the computing infrastructure. This feature provides a layer of security and control over the update process, preventing potential vulnerabilities and maintaining system integrity.

According to an example, the present technology comprises, before applying the updates to the target computer infrastructure using an orchestrated deployment strategy according to a predetermined set of rules, a step of validation by a user of the updates.

The technical advantage of this feature lies in its ability to ensure that updates are validated by a user before being applied to the target computer infrastructure. This prevents potential errors or security vulnerabilities from being introduced into the system. The step of validation allows for real-time monitoring and control over the deployment process, ensuring that only authorized and tested updates are implemented.

According to an example, the assembling module is further configured to use a single build file to define the entire build process, including compilation, testing, and deployment steps.

The technical advantage of this feature lies in its ability to streamline the build process by defining all necessary steps, including compilation, testing, and deployment, within a single build file. This reduces complexity and increases efficiency, allowing for faster and more reliable software development and deployment.

According to an example, the applications, deployed and managed by the infrastructure orchestration module, are containerized.

The technical advantage of containerizing applications is that it enables automatic scaling, restarts containers that fail or become unresponsive, and distributes traffic across multiple replicas for load balancing and fault tolerance. This improves application reliability, scalability, and performance.

According to an example, the software components further comprises a metric storing module configured to:

According to an example, the software components further comprises a metric aggregator module, the metric aggregator module being configured to:

According to an example, the present technology comprise a step of monitoring performance and resource utilization using the metric storing module and the metric aggregator module the step comprising:

According to an example, the present technology comprises a step of implementing security measures for access control using the version control system module.

According to an example, a plurality of declarative configuration files is configured to describe an application, each declarative configuration file of this plurality of declarative configuration files comprising common values.

By configuring a plurality of declarative configuration files, each describing common values, the application's configuration can be managed more efficiently. Changes to common values only need to be made in one file, reducing the risk of inconsistencies and errors that may arise from updating multiple files individually. This simplification leads to easier maintenance and faster deployment of the application.

The use of a plurality of declarative configuration files allows for a more modular design of an application's configuration. Each file can be dedicated to specific aspects or components of the application, making it easier to understand, manage, and modify. This modularity also enables better organization and separation of concerns within the configuration, improving overall system design and maintainability.

The ability to configure a plurality of declarative configuration files with common values provides increased flexibility and scalability for applications. New configurations or modifications can be easily implemented by adding or updating specific configuration files without affecting the entire system. This adaptability ensures that the application can accommodate changing requirements and grow as needed, making it more robust and versatile in various use cases.

By defining common values across multiple declarative configuration files, developers can ensure consistency throughout their applications. This consistency leads to fewer errors and easier troubleshooting, as well as reduced development time since common configurations do not need to be rewritten for each instance. Additionally, the use of a standardized configuration structure makes it simpler for new team members to onboard and understand the project.

According to an example, the fleet of computing infrastructures comprises multiple levels of computing infrastructures, with a primary computing infrastructure DC1 configured to manage a group of secondary computing infrastructure, each secondary computing infrastructure being configured to manage one or more tertiary computing infrastructures.

The multi-level hierarchy of computing infrastructures allows for increased scalability and flexibility in managing and distributing computational workloads. The primary infrastructure, DC1, can oversee multiple secondary infrastructures, each capable of managing one or more tertiary infrastructures. This structure enables the efficient allocation of resources and tasks across various levels, accommodating growing demands and dynamic requirements.

By organizing computing infrastructures into a multi-tiered architecture, resources can be utilized more effectively. The secondary and tertiary infrastructures can be dedicated to specific tasks or applications, reducing contention for resources within the primary infrastructure. This leads to improved overall system performance and reduced latency.

The multi-level structure of computing infrastructures also provides enhanced fault tolerance and redundancy. If one level of infrastructure experiences an issue or failure, the other levels can continue to function and manage their respective tasks. This ensures business continuity and minimizes downtime, ultimately improving overall system reliability.

Managing and monitoring a complex computing environment becomes more straightforward with a multi-level hierarchy of infrastructures. The primary infrastructure can be focused on high-level tasks, while the secondary and tertiary infrastructures handle specific functions or applications. This separation of concerns simplifies system administration and allows for easier troubleshooting and maintenance.

By implementing a multi-tiered architecture, organizations can optimize their computing resources and reduce costs. The secondary and tertiary infrastructures can be deployed on-premises or in the cloud based on specific requirements and budget constraints. This flexible deployment model allows for cost savings while maintaining performance and scalability.

According to an example, the primary computing infrastructure DC1 is configured to manage the configuration and orchestration of all computing infrastructures in the fleet of computing infrastructures, including secondary and tertiary computing infrastructures, and to replicate data to them.

Having a primary computing infrastructure manage the configuration and orchestration of all computing infrastructures enables efficient resource utilization, consistent policies, and streamlined operations. It eliminates the need for separate management systems for each infrastructure, reducing complexity and potential errors. Moreover, centralized management allows for easier implementation of updates, patches, and security measures across the entire fleet.

Managing and replicating data to multiple computing infrastructures allows for increased scalability and flexibility. As the organization grows or changes, new computing infrastructures can be added to the fleet without disrupting existing operations. Furthermore, having multiple infrastructures enables load balancing and distributing workloads across them, improving overall performance and responsiveness.

According to an example, the primary computing infrastructure DC1 is configured to manage the configuration and orchestration of all secondary computing infrastructures in the fleet of computing infrastructures.

According to an example, each secondary computing infrastructure is configured to manage the configuration and orchestration of all its associated tertiary computing infrastructures in the fleet of computing infrastructures.

By configuring each secondary computing infrastructure to manage its associated tertiary computing infrastructures and replicate data to them, data redundancy is increased. In the event of a failure or malfunction in one of the tertiary computing infrastructures, the data can be retrieved from another tertiary infrastructure managed by a secondary infrastructure. This ensures that data remains available and accessible, minimizing downtime and potential data loss.

With each secondary infrastructure managing its associated tertiary infrastructures, the overall system becomes more scalable. As new tertiary computing infrastructures are added to the system, they can be easily managed by existing secondary infrastructures. This allows for seamless expansion of the system without requiring significant changes to the infrastructure management architecture.

According to an example, each tertiary computing infrastructure is configured to process and store data locally, with data being replicated to the secondary computing infrastructure for backup and disaster recovery purposes.

By processing data locally in each tertiary computing infrastructure, the system can reduce network latency and minimize data transfer between primary and secondary infrastructures. This results in faster response times and increased overall efficiency in data processing.

The local processing and storage capabilities of each tertiary computing infrastructure enable the system to continue functioning even when network connectivity is lost or limited. This ensures business continuity and minimizes downtime during network disruptions.

The ability to process and store data locally in multiple tertiary infrastructures allows for greater scalability and flexibility in the system design. New infrastructure can be easily added or existing ones upgraded without affecting the overall performance of the system, ensuring it remains adaptable to changing business needs.

According to an example, the present technology further comprises an automated deployment phase of at least one computing infrastructure of the fleet, the computing infrastructure comprising at least one un-provisioned server and at least one switch, the automated deployment phase comprising:

According to an embodiment, the CMDB module is responsible for managing and storing inventory data related to the un-provisioned server and switch. It plays a role in the automated deployment process by providing information required for configuring and provisioning the infrastructure. One of the technology's technical advantage lies in its minimal footprint since it centralises the management of configuration data, reducing the need for manual intervention and potential errors.

According to an embodiment, the deployment module is responsible for deploying the computing infrastructure. It interacts with the CMDB module to obtain necessary information and provisions the network stack, including the DNS module, NOG module, and other components. The technical advantage of this feature lies in its ability to automate the deployment process, reducing the time and effort required for manual configuration and provisioning.

According to an embodiment, the communication module is responsible for managing communication between various software components and allows the CMDB module to communicate with the deployment module. It also manages at least one DHCP interface module. The technical advantage of this feature lies in its ability to facilitate seamless communication between different software components, ensuring proper coordination during the infrastructure deployment process.

According to an embodiment, the configuration module is responsible for initialising the CMDB module with information relating to the switch and its configuration. It calculates data required for initialising the CMDB module and other software components. The technical advantage of this feature lies in its ability to automate the initialisation process, reducing the need for manual intervention and potential errors.

According to an embodiment, the Network Operations Gateway (NOG) module is responsible for piloting the switch by receiving configuration data from the CMDB module and applying the received configurations to the switch. It manages DNS services within the computing infrastructure. The technical advantage of this feature lies in its ability to automate the configuration process for switches, ensuring consistent and accurate configurations across the network.

According to an embodiment, the Domain Name System module is responsible for managing the DNS services within the computing infrastructure. It is provisioned during the deployment process using data from the CMDB module. The technical advantage of this feature lies in its ability to automate the configuration and management of DNS services, ensuring proper name resolution and network functionality.

According to an example, the present technology further comprises a processing sub-system for automated deployment of at least one computing infrastructure of the fleet, the processing sub-system further comprising at least:

According to an embodiment, the Configuration Management DataBase (CMDB) module is configured to manage and store inventory data for the un-provisioned server and switch. This functionality offers several technical advantages. Firstly, it enables efficient tracking and organisation of hardware resources within the computing infrastructure. Secondly, it ensures consistency in configuration data across the infrastructure by providing a centralised repository. Lastly, it simplifies the process of managing and updating configurations as changes can be made in one place and propagated throughout the infrastructure.

According to an embodiment, the deployment module is configured to automate the deployment of the computing infrastructure. This feature offers significant benefits including reduced time and effort required for manual deployment, increased consistency in deployments, and improved scalability as new resources can be easily added to the infrastructure.

According to an embodiment, the communication module is configured to manage communication between the CMDB module and the deployment module while also managing at least one DHCP interface module. This functionality ensures seamless communication between different components of the system, enabling efficient data exchange and coordinated execution of tasks.

According to an embodiment, the configuration module is configured to initialise the CMDB module with information relating to the switch and its configuration. This feature simplifies the process of onboarding new switches into the computing infrastructure by automating the configuration process and reducing the need for manual intervention.

According to an embodiment, the Network Operations Gateway (NOG) module is configured to pilot the at least one switch by receiving configuration data from the CMDB module and applying the received configurations to the switch. This functionality offers several technical advantages including centralised management of switch configurations, improved network security through consistent configurations, and simplified troubleshooting as all configuration data is stored in a single location.

According to an embodiment, the deployment module is configured to: Detect at least one new server using the communication module; Send the port number and the switch number of the new server to the Configuration Management DataBase module using the communication module; Remove the discovery mode of the new server using the communication module.

The first technical advantage lies in the automatic detection of new servers through the deployment module, which is configured to utilise the communication module for this purpose. This feature enables real-time monitoring and swift response to infrastructure changes, ensuring efficient resource allocation and minimising potential network vulnerabilities arising from unidentified devices. The second technical advantage comes into play when the detected new server's information is transmitted to the Configuration Management DataBase module. This step allows for seamless integration of the new server into the existing infrastructure, ensuring consistent configuration and management across the entire system. Additionally, it enables automated provisioning and deployment processes, reducing manual intervention and potential human error.

According to an embodiment, the at least one switch includes switches from distinct manufactures. The use of switches from distinct manufacturers in the present technology offers several technical advantages. Firstly, it enhances interoperability between different network components. Switches from various vendors may employ diverse protocols or proprietary features that can affect communication and data exchange within a network. By incorporating switches from multiple manufacturers, the system ensures compatibility and seamless integration of these disparate elements.

According to an embodiment, the deployment module comprises a network virtualisation and orchestration component configured to allow creation and management of virtual networks, subnets, routers, firewalls, load balancers, and other related networking components within the deployment module.

According to an embodiment, the server discovery process comprises the following steps:

The integration of a network virtualisation and orchestration component within the deployment module enables dynamic creation and management of networking components, providing flexibility in designing and configuring virtual networks. This capability allows for efficient network resource utilisation and facilitates seamless communication between servers and other network elements. The server discovery process using a VLAN mode during network interface configuration ensures secure isolation of the discovery process from the production network. By putting the server interfaces in an isolated VLAN, potential security risks are minimised as unauthorised access to the production network is prevented. Additionally, this approach enables efficient use of network resources by dedicating a separate VLAN for server discovery. The utilisation of agents on servers during the discovery process offers several advantages. Agents can analyse both the server and switch hardware, providing comprehensive information about their capabilities and configurations. This data can be used for provisioning and integration into the infrastructure. Furthermore, agents enable automated reporting, reducing manual intervention and potential errors in the discovery process.

According to an embodiment, the deletion of a server from the deployment module results in the deletion of the corresponding entry in the CMDB module and setting back the discovery process.

Upon deletion of a server from the former, the corresponding entry is automatically deleted from the latter. This eliminates the need for manual updates, reducing potential errors and saving time and resources.

According to an embodiment, the present technology comprises a step of ensuring secure boot and disk encryption for the computing infrastructure components.

A secure boot ensures that only authorised software and/or operating systems are loaded during the system startup process, preventing unauthorised or malicious code from being executed. This feature enhances the security of computing infrastructure components by protecting against rootkits and other forms of persistent malware that can bypass traditional antivirus solutions.

According to an embodiment, the present technology comprises a step for managing resources of the infrastructure, the step of managing comprising:

The first technical advantage lies in the automated discovery of bare-metal servers using a server management module. This feature enables efficient and accurate identification of available hardware resources within the computing infrastructure, reducing manual intervention and potential errors. A second technical advantage is the ability to present discovered bare-metal servers to the deployment module as compute resources. By integrating these servers seamlessly into the deployment module environment, users can leverage existing tools and processes for managing and deploying applications at scale.

The integration of self-encrypting drives SED into the server management module adds an additional layer of security to the computing infrastructure. By managing SEDs within the server management module, data remains encrypted during storage and transmission, ensuring protection against unauthorised access and potential data breaches.

According to an embodiment, the server management module comprises:

The integration of encryption in the server management module allows for secure communication between different components of the system, ensuring data confidentiality and protecting against unauthorised access. This feature is useful in today's data-driven landscape where security is a top priority.

According to an embodiment, the present technology comprises a step of securely booting operating systems in the computing infrastructure, the step for securely booting operating systems comprising:

A technical advantage of this method lies in the generation and storage of unique signatures for operating system images. This feature ensures the authenticity and integrity of each image before it is loaded into the computing infrastructure. By securely storing these signatures in a key management module, access to them is restricted and controlled, reducing the risk of unauthorised modifications or tampering.

According to an embodiment, the integrated mechanism is configured to manage signatures and versioning.

A technical advantage of configuring the integrated mechanism to manage signatures lies in ensuring data integrity and authenticity. By implementing digital signatures, unauthorised modifications to data or instructions can be detected, preventing potential security vulnerabilities and maintaining the accuracy of information.

According to an embodiment, the present technology comprises a step of providing features taken among at least one of: logging, monitoring, auditing, and security.

Logging provides a record of past events, enabling system administrators to diagnose issues and identify trends. By incorporating logging into the method, valuable data can be collected for troubleshooting and performance analysis. Monitoring allows real-time observation of system behaviour and user activity. This feature is essential for maintaining security and ensuring optimal performance. Incorporating monitoring into the method enables proactive intervention in response to anomalous events or conditions. Auditing offers a systematic evaluation of system activity, providing an essential tool for compliance with regulatory requirements and organisational policies. By including auditing as part of the method, users can ensure that their systems are operating within established guidelines and identify any potential areas of non-compliance.

According to an embodiment, the computing infrastructure comprises a private network for server discovery.

By incorporating a private network for server discovery in the computing infrastructure, communication between servers occurs within a secure and controlled environment.

This reduces the risk of unauthorised access or interception of data during the discovery process. A private network enables efficient and reliable server discovery as it allows for direct connections between servers without the need for traversing the public internet. This results in faster response times and improved overall system performance. Implementing a private network for server discovery enhances scalability by allowing for easy addition or removal of servers within the network. This flexibility enables businesses to adapt to changing demands and expand their computing infrastructure as needed. The use of a private network for server discovery provides an additional layer of security through access control mechanisms. By limiting communication to authorised users and devices, potential threats from external sources are minimised.

According to an embodiment, the present technology comprises a step of managing Internet Protocol (IP) addresses in the computing infrastructure, the step of managing Internet Protocol (IP) addresses comprising:

Pre-calculating IP addresses based on a set of rules allows for efficient, dynamic and accurate address management within the computing infrastructure. By calculating all required IP addresses prior to implementation, potential errors or inconsistencies can be minimised, ensuring a well-organized and streamlined network.

According to an embodiment, the present technology comprises a step of managing a fleet of distributed computing infrastructures, the step comprising at least the following sub-steps:

By managing a fleet of distributed computing infrastructures, this method enables efficient utilization of resources and reduces the risk of data loss or downtime due to hardware failure or natural disasters at any single location. The distributed architecture allows for load balancing and automatic failover, ensuring high availability and reliability of data processing and storage. Effective monitoring and control of each computing infrastructure in the fleet are facilitated through this method, allowing for real-time identification and resolution of issues before they escalate into major problems. This proactive approach minimises downtime and enhances overall system performance. The method supports dynamic scaling of resources based on demand, ensuring optimal use of computing power, storage capacity, and network bandwidth. This flexibility enables businesses to adapt quickly to changing requirements and accommodate growth without the need for costly infrastructure upgrades. Security is enhanced through the management of a fleet of distributed computing infrastructures as it allows for the implementation of advanced security measures across multiple locations. Data can be replicated and encrypted, reducing the risk of unauthorised access or data loss. This method enables seamless integration with various cloud services and on-premises infrastructure, providing businesses with the flexibility to choose the best deployment model for their specific needs. It also supports hybrid cloud environments, allowing for the efficient management of both public and private resources. The distributed nature reduces latency and improves response times by bringing data processing closer to the end-users. This results in a better user experience and increased productivity for applications that require real-time data processing.

According to an embodiment, the present technology comprises a step of mutualizing at least one switch between a plurality of deployment module.

By mutualizing at least one switch between a plurality of deployment modules, resource utilisation is optimised as each module can share the same switch, reducing the need for multiple switches and resulting in cost savings. Mutualizing switches also enhances network flexibility as it allows for easier reconfiguration and management of the interconnections between deployment modules. This can be particularly beneficial in dynamic environments where resources are frequently added or removed. The use of mutualized switches improves overall system performance by reducing latency and increasing bandwidth between deployment modules. As data does not need to traverse multiple switches to reach its destination, the network becomes more efficient and responsive. Mutualizing switches contributes to improved fault tolerance as a single point of failure in one switch affects only the connected modules, rather than the entire system. This reduces downtime and ensures business continuity for applications running on the deployment modules.

According to an embodiment, the present technology comprises at least one NOG Master and at least a plurality of NOG slaves, the NOG master comprising data about a plurality of switches, each NOG slave comprising data about only one switch of the plurality of switches.

The present processing system enables the isolation of networks by assigning data about multiple switches to a NOG master, while each NOG slave only handles data related to one specific switch. This design reduces the interconnectivity between different parts of the network, thereby minimising potential vulnerabilities and improving overall security.

DETAILED DESCRIPTION

In the context of the present specification, “client device” is any computer hardware that is capable of running software appropriate to the relevant task at hand. Thus, some (non-limiting) examples of client devices include personal computers (desktops, laptops, netbooks, etc.), smartphones, and tablets, as well as network equipment such as routers, switches, and gateways. It should be noted that a device acting as a client device in the present context is not precluded from acting as a server to other client devices. The use of the expression “a client device” does not preclude multiple client devices being used in receiving/sending, carrying out or causing to be carried out any task or request, or the consequences of any task or request, or steps of any method described herein.

In the context of the present specification, the expression “component” is meant to include software (appropriate to a particular hardware context) that is both necessary and sufficient to achieve the specific function(s) being referenced. Moreover, the expression “computer usable information storage medium” is intended to include media of any nature and kind whatsoever, including RAM, ROM, disks (CD-ROMs, DVDs, floppy disks, hard drivers, etc.), USB keys, solid state-drives, tape drives, etc.

In the context of the present technology, a server refers to a computer system or a specialised hardware device that provides services and resources over a network to other computers, devices, or users. Servers are typically equipped with robust processing power, large memory capacity, and extensive storage capabilities to handle intensive computational tasks and manage vast amounts of data. They run dedicated software, such as web servers, database servers, file servers, or application servers, to deliver specific functionalities and services to clients upon request. The client devices access these resources through standard communication protocols like HTTP, FTP, or TCP/IP.

In the context of this technology, a switch is a networking device that forwards and filters data packets between devices connected to it. It uses packet switching to receive, process, and forward data to other devices on the network based on their MAC or IP addresses. Switches are essential components in building and managing computer networks, enabling efficient communication between different devices within a data centre infrastructure.

With this said, an embodiment, the present technology relates to a method and system for managing a fleet of distributed computing infrastructures. The method comprises at least the following steps:

According to an embodiment, and as illustrated by FIGS. 8, 9 and 10, the present technology relates to a computer-implemented method 400 for managing at least one fleet of computing infrastructures 10, preferably the computing infrastructure 10 being on-premise, advantageously, each computing infrastructure comprises an infrastructure orchestration module 530, the method 400 comprising:

According to an embodiment, the version control system module 510 is configured to:

According to an embodiment, the hierarchical configuration module 520 is configured to:

According to an embodiment, the infrastructure orchestration module 530 (Kubernetes), the infrastructure orchestration module being configured to:

According to an embodiment, the metric storing module 540 is configured to:

According to an embodiment, the metric aggregator module 550 is configured to: Collect and aggregate metrics from multiple metric storing module instances running in each computing infrastructure;

According to an embodiment, the configuration module 240 is configured to:

According to an embodiment, the applications packaging module 550 is configured to:

According to an embodiment, the assembling module 560 is configured to:

According to an embodiment, managing a fleet of distributed computing infrastructures comprises at least the following sub-steps:

Pulling Configurations: this step involves pulling configurations across all computing infrastructures of the distributed computing infrastructures. This can be done using a centralized configuration management system like Git or a distributed configuration management tool like Consul or Etcd. By maintaining a single source of truth for configurations, it becomes easier to manage and update configurations across all computing infrastructures in a consistent manner.

Optionally, Monitoring Performance and Resource Utilization: This optional step involves monitoring performance and resource utilization of each computing infrastructure in real-time. This can be achieved through various means such as using monitoring tools like Prometheus, Grafana, or Nagios to collect and visualize metrics on CPU usage, memory usage, network traffic, and other relevant performance indicators. By continuously monitoring the health and performance of each computing infrastructure, it becomes easier to identify and address issues before they escalate into major problems.

Optionally, Implementing Security Measures: tis optional step step involves implementing security measures to protect against unauthorized access or data breaches. This can be done through various means such as using firewalls, intrusion detection systems (IDS), encryption keys, and access control mechanisms like RBAC or IAM. By implementing robust security measures across all computing infrastructures, it becomes easier to secure sensitive data and prevent unauthorized access or data breaches.

Providing Optional Features: The present technology also provides additional features such as logging, monitoring, auditing, and key management for distributed key management and auditing. These features enable businesses to maintain a comprehensive log of all activities across their computing infrastructure, monitor user activity, ensure compliance with regulatory requirements, and manage encryption keys securely.

According to an embodiment, and in the context of the present technology, an artifact refers to a software support for data.

According to an embodiment, and in the context of the present technology, a component can be a software module and/or a hardware module, the hardware module being possibly controlled by a software module.

According to an embodiment, the present technology enables efficient utilization of resources by managing a fleet of distributed computing infrastructures, reduces the risk of data loss or downtime due to hardware failure or natural disasters at any single location, allows for load balancing and automatic failover, ensures high availability and reliability of data processing and storage, supports dynamic scaling of resources based on demand, enhances overall system performance through effective monitoring and control, and enables seamless integration with various cloud services and on-premises infrastructure.

The present technology provides a method and system for managing a fleet of distributed computing infrastructures that enables efficient utilization of resources, reduces the risk of data loss or downtime due to hardware failure or natural disasters at any single location, allows for load balancing and automatic failover, ensures high availability and reliability of data processing and storage, supports dynamic scaling of resources based on demand, enhances overall system performance through effective monitoring and control. The method and system can be implemented using a combination of tools such as Kubernetes, Prometheus, Git, Hieradata, Flux, Helm, Terraform, Thanos, Bazel, and other relevant tools to manage the deployment, configuration, monitoring, security, and scaling of distributed computing infrastructures.

According to an embodiment, the version control system module (GIT) 510 is configured to store and manage configuration files for each computing infrastructure. This module 510 enables branching and merging of configuration files, provides a history of all changes made to the configuration files, and supports access control and permissions management.

According to an embodiment, the hierarchical configuration module (Hieradata) 520 is configured to write, store, and manage configuration data in a hierarchical manner. This module 520 supports nested data structures, allowing for complex templates with multiple levels of sub-fields or sub-templates. Variables are also supported as blocks of code themselves, which can then be used within templates and other Hiera configurations to increase factorization. FIG. 10 illustrates an example of such a template 13, according to an embodiment of the present technology.

According to an embodiment, the infrastructure orchestration module (Kubernetes) 530 is configured to deploy and manage containerized applications using declarative configuration files that define the predetermined state of each application and its dependencies. This module 530 automatically scales applications based on resource utilization and demand, restarts containers that fail or become unresponsive, and distributes traffic across multiple replicas for load balancing and fault tolerance.

According to an embodiment, the metric storing module (Prometheus) 540 is configured to collect metrics from monitored computing infrastructure components and store them in a time series database for later querying and analysis. This module 540 can provide a web interface for visualizing and exploring metrics data, supports automated discovery of new computing infrastructure components by periodically scanning the network for new services and endpoints, and enables alerting based on predefined rules. Each flux exposes metrics on actions, status, and duration of actions, which are stored locally for a short period by the metric storing module 540 and preferably can be consolidated at a central computing infrastructure, called a primary data center DC1, using the metric aggregator module 550.

According to an embodiment, the metric aggregator module (Thanos) 550 is configured to collect and aggregate metrics from multiple Prometheus instances running in each computing infrastructure and store them using a combination of local storage and remote object storage. This module 550 enables automated data retention policies based on predefined rules.

According to an embodiment, the configuration module (Flux) 240 is configured to monitor the configuration repository for changes and detect when new configurations are pushed. It pulls the updated configurations from the repository and can validate their syntax and semantics before applying them to the target computer infrastructure using an orchestrated deployment strategy.

According to an embodiment, the applications packaging module (Helm/Terraform) 560 is configured to package applications and their dependencies into reusable templates designed to be installed and upgraded across multiple computing infrastructures in the fleet. This module 560 uses values files to customize the configuration of each installation based on specific requirements of each computing infrastructure, supports dependency management, defines infrastructure components using declarative configuration files, and enables automated computing infrastructure deployment and configuration.

According to an embodiment, the assembling module (Bazel) 570 is configured to define dependencies between different components and libraries, use a single build file to define the entire build process, including compilation, testing, and deployment steps, and defining infrastructure resources using templates for automated deployment and configuration of computing components.

Preferably, the defining step comprises:

Advantageously, storing and managing configuration data in a centralized repository is achieved using the version control system module 510 and the hierarchical configuration module 520, where configurations are written by completing at least partially considered templates according to a predetermined hierarchical order within each considered template.

The distributed architecture allows for load balancing and automatic failover, ensuring high availability and reliability of data processing and storage. Effective monitoring and control of each computing infrastructure in the fleet are facilitated through this method, allowing for real-time identification and resolution of issues before they escalate into major problems. This proactive approach minimizes downtime and enhances overall system performance. The method supports dynamic scaling of resources based on demand, ensuring optimal use of computing power, storage capacity, and network bandwidth. This flexibility enables businesses to adapt quickly to changing requirements and accommodate growth without the need for costly infrastructure upgrades. Security is enhanced through the management of a fleet of distributed computing infrastructures as it allows for the implementation of advanced security measures across multiple locations. Data can be replicated and encrypted, reducing the risk of unauthorized access or data loss.

The method enables seamless integration with various cloud services and/or on-premises infrastructure, providing businesses with the flexibility to choose the best deployment model for their specific needs. It also supports hybrid cloud environments, allowing for the efficient management of both public and private resources. The distributed nature reduces latency and improves response times by bringing data processing closer to the end-users, resulting in a better user experience and increased productivity for applications that require real-time data processing.

According to an embodiment, multiple declarative configuration files can be utilized to describe an application. Each of these declarative configuration files forms part of a plurality and includes common values. Preferably, the method 400 can involve defining a set of configurations for an application using a collection of declarative configuration files. These files collectively provide instructions on how the application should behave under various conditions. Advantageously, having multiple declarative configuration files with common values allows for easier maintenance and modification of the application's configurations. Changes to common values can be made in one file, which will automatically update the other files that share those values. This reduces the need for manual updates across multiple files and minimizes potential errors.

Moreover, this approach promotes modularity and flexibility in managing application configurations. Developers can easily add, remove, or modify configuration settings without affecting the entire configuration structure. Additionally, it simplifies the process of deploying applications to different environments by allowing for customized configurations while maintaining a consistent base of common values.

According to an embodiment, each declarative configuration file may contain specific instructions tailored to particular aspects of the application or environment. However, at least some of them, and preferably all of them, share the common values that are essential for the proper functioning of the application. This approach ensures consistency and standardization across various configurations while still allowing for customization where necessary.

According to an embodiment, an as illustrating by FIG. 11, the fleet of computing infrastructures 10 can comprise multiple levels. For example, at a primary level, there exists a computing infrastructure, denoted as DC1, responsible for managing a group of secondary computing infrastructures 10, denoted DC2a, DC2b an DC2c, for example.

Advantageously, each secondary computing infrastructure DC2a, DC2b, DC2c, is configured to manage one or more tertiary computing infrastructures, denoted DC3aX, DC3bX and DC3cX, X being a number greater or equal to one. This hierarchical arrangement allows for efficient resource allocation and centralized control over the entire fleet of computing infrastructures.

Preferably, DC1 communicates with each secondary infrastructure DC2a, DC2b, DC2c to monitor their performance, allocate resources, and enforce security policies. In turn, each secondary infrastructure DC2a, DC2b, DC2c manages its assigned tertiary infrastructures DC3aX, DC3bX and DC3cX, ensuring they operate optimally while adhering to the guidelines set by the secondary infrastructure.

This multi-tiered architecture provides several technical advantages. First, it enables scalability as new computing infrastructures can be easily added or removed at any level without affecting the entire system. Second, it can be configured to enhance fault tolerance since failures in one tier do not necessarily impact the entire fleet. Lastly, it improves overall performance by allowing for load balancing and task distribution across multiple levels of computing infrastructure.

According to an embodiment, the method involves managing and orchestrating the configuration of a primary computing infrastructure DC1, as well as secondary DC2a, DC2b, DC2c and tertiary DC3aX, DC3bX and DC3cX computing infrastructures within a fleet. Preferably, DC1 is configured to replicate data to these additional computing infrastructures.

In more detail, and according to an embodiment, DC1 serves as the central point for managing and coordinating all computing activities across the fleet (secondary and tertiary computing infrastructures included). This configuration allows for efficient and consistent management of the entire computing infrastructure. Additionally, data replication to secondary and tertiary computing infrastructures can be implemented to ensure redundancy and disaster recovery capabilities.

Advantageously, this setup enables seamless scaling and flexibility as new computing infrastructures can be easily integrated into the fleet and managed by DC1. Furthermore, having a centralized management system for all computing infrastructures simplifies maintenance tasks and reduces potential errors or inconsistencies that may arise from managing each infrastructure individually.

Preferably, the data replication occurs automatically and in real-time, ensuring that the most up-to-date information is always accessible on the connected data centers.

According to an embodiment, the present technology comprises configuring each tertiary computing infrastructure to process and store data locally. This feature allows for local processing and storage of data in the tertiary computing infrastructure.

Advantageously, data can be replicated from each tertiary computing infrastructure to the secondary computing infrastructure for backup and disaster recovery purposes. This redundancy ensures that data is protected and can be recovered in case of a failure or disaster affecting the primary or tertiary computing infrastructure.

According to an embodiment, the present technology relates to a processing system 500 for automated management of a fleet of computing infrastructures. This system 500 comprises a processor 300, a computer-readable medium storing instructions that, upon being executed by the processor 300, causes the execution of software components.

According to the embodiment, the processing system 500 comprises at least:

Preferably, the version control system module (GIT) 510 is configured to store and manage at least one configuration file for each computing infrastructure. GIT enables branching and merging of configuration files, provides a history of all changes made to the configuration files, and implements access control and permissions management. Security measures for access control and encryption keys are also implemented.

Advantageously, the hierarchical configuration module (Hieradata) 520 is configured to write, store, and manage configuration data in a hierarchical manner. Hieradata creates templates 13 of declarative configuration files, each template 13 comprising at least one tree structure and a plurality of fields. Each field can be multi-type and configured to comprise multiple sub-fields. Variables, preferably in the form of blocks, are configured to be factorized, with each variable being a branch of the at least one tree structure and referencing other variables. Hieradata writes configurations by completing at least partially considered templates according to a predetermined hierarchical order. Within each considered template 13, different variables are written while respecting an order of priority, from the trunk of the tree structure to the leaf of the tree structure.

According to an embodiment, the infrastructure orchestration module (Kubernetes) is configured to deploy and manage containerized applications using declarative configuration files that define a predetermined state of each application and its dependencies. Kubernetes automatically scales applications based on resource utilization and demand, automatically restarts containers that fail or become unresponsive, and distributes traffic across multiple replicas for load balancing and fault tolerance.

According to an embodiment, the metric storing module (Prometheus) 540 is configured to collect metrics from monitored computing infrastructure components and store them in a time series database for later querying and analysis, with a predetermined retention period. Prometheus provides a web interface for visualizing and exploring metrics data and enables automated discovery of new computing infrastructure components by periodically scanning the network for new services and endpoints. Support for alerting based on predefined rules, automated backups and restores of the metrics data, and monitoring performance and resource utilization are also provided.

According to an embodiment, the metric aggregator module (Thanos) 550 is configured to collect and aggregate metrics from multiple Prometheus instances running in each computing infrastructure and store them using a combination of local storage and remote object storage. Thanos enables automated data retention policies based on predefined rules and monitors performance and resource utilization.

According to an embodiment, the configuration module (Flux) 240 is configured to monitor the configuration repository for changes and detect when new configurations are pushed, pull the updated configurations from the repository and validate their syntax and semantics, apply the updates to the target computer infrastructure using an orchestrated deployment strategy, and define the configuration of the computing infrastructure, including interactions between devices using templates.

According to an embodiment, the applications packaging module (Helm/Terraform) 560 is configured to package applications and their dependencies into reusable templates designed to be installed and upgraded across multiple computing infrastructures in the fleet. Helm/Terraform uses values files to customize the configuration of each installation based on specific requirements of each computing infrastructure, supports dependency management, defines infrastructure components using declarative configuration files, enables automated computing infrastructure deployment and configuration, and integrates with other tools and workflows for managing the orchestration and reconciliation of each data center.

According to an embodiment, the assembling module (Bazel) 570 is configured to define dependencies between different components and libraries, use a single build file to define the entire build process, including compilation, testing, and deployment steps, deploy and configure computing components, and integrate with other tools and workflows for automating the continuous integration and deployment process.

According to an embodiment, the system 500 further comprises a processing sub-system 200 described hereafter. The processing sub-system 200 can comprise several components such as a deployment module 220, a configuration management database (CMDB) 210, a server management module 270, a key management module 280, a communication module 230, etc. . . .

According to an embodiment, the deployment module 220 can be configured to deploy un-provisioned servers and manage their lifecycle using tools like Kubernetes or Docker Swarm. It can also integrate self-encrypting drives for automatic encryption key management and secure boot technology to ensure the security of each server.

According to an embodiment, The CMDB module 210 can be configured to manage the distributed computing infrastructure by storing and managing configuration data in a hierarchical manner using tools like Hieradata or Puppet. It can also support dynamic evaluation of configuration data based on the current environment or runtime conditions, allowing for flexible and adaptive infrastructure management.

According to an embodiment, the server management module 270 can be integrated within the CMDB module 210 to manage the computing infrastructure 10 by initializing the CMDB module 210, ensuring compliance of the fleet of distributed computing infrastructures, and providing a client interface that allows a user to manage a corresponding computing infrastructure 10 from the distributed computing infrastructures with which the client is associated.

According to an embodiment, the key management module 280 can be configured to securely store passwords and/or encryption keys using tools like Hashicorp's Vault or AWS KMS, for example. It can also be designed to support advanced features such as multi-factor authentication, access control policies, and auditing to ensure the security of encryption keys.

According to an embodiment, the present technology comprises also an automated deployment phase 100 of at least one computing infrastructure scalable from a few servers to a data centre of up to 100 racks, for example, without any limitation. The smallest deployment starts with one server for control and one switch. The present technology provides ready-for-provision multi-tenants BareMetal instances, i.e. un-provisioned servers, supporting any operating system with private networking inside each tenant.

According to an embodiment, and as illustrated by FIGS. 1 and 2, the present technology comprises a computer-implemented phase 100 for automated deployment of at least one computing infrastructure 10, also called a data centre. This computing infrastructure 10 comprises at least one un-provisioned server 11 and at least one switch 12. The phase 100 comprises several, preferably interconnected, components configured to work together to deploy and manage the computing infrastructure 10 in an autonomous manner. Advantageously, the phase 100 is executed after the pulling step 450.

As illustrated by FIGS. 2, 3 and 4a to 4f, according to an embodiment, the computer-implemented phase 100 comprises at least the following steps:

According to an embodiment, each module is an application related to at least one template defined by variables in the configuration module 240.

Preferably, the configuration management database module 210 is an application related to at least one template defined by variables in the configuration module 240.

Preferably, the deployment module 220 is an application related to at least one template defined by variables in the configuration module 240.

Preferably, the communication module 230 is an application related to at least one template defined by variables in the configuration module 240.

Preferably, the network operation gateway module 250 is an application related to at least one template defined by variables in the configuration module 240.

Preferably, the domain name system module 260 is an application related to at least one template defined by variables in the configuration module 240.

According to an embodiment, the CMDB module 210, Netbox for example, is configured to manage and store inventory data relating to the un-provisioned server 11 and switch 12. Netbox 210 is initialized with information about the switches 12 and their configurations using the configuration module 240, Flux for example. This initialisation process involves calculating data for initialising Netbox 210, which comprises at least one IP address of the switch 12.

According to an embodiment, the primary functions of the CMDB module 210 comprise:

According to an embodiment, the deployment module 220, OpenStack for example, is configured to deploy the computing infrastructure 10. OpenStack 220 communicates with Netbox 210 using the communication module 230, Dicious for example.

According to an embodiment, the primary functions of the deployment module 220 comprise:

Server discovery and enrollment: the deployment module 220 is configured to discover new servers, i.e. un-provisioned servers 11, when they boot up, to enroll them into the processing sub-system 200, and to make them manageable by users.

Synchronization with Netbox: the deployment module 220 is configured to synchronise its configuration data with the CMDB module 210, to ensure consistency between physical and virtualized network configurations.

Power management: the deployment module 220 is configured to manage power states of servers to ensure they are ready for deployment or maintenance activities.

Image deployment: the deployment module 220 is configured to deploy operating system images and other necessary configurations to newly added servers, i.e. un-provisioned servers 11, ensuring consistency and minimizing downtime.

Provisioning: the deployment module 220 is configured to provision new servers with the appropriate network configurations, allowing them to integrate seamlessly into the existing computing infrastructure 10. This includes configuring virtual interfaces, IP addresses, and routing tables.

Network reconfiguration: When there is a change in the network configuration in the CMDB module 210, the deployment module 220 automatically reconfigures the virtual networks and other network components as needed to maintain consistency with the physical network.

According to an embodiment, the communication module 230 is configured to manage at least one Dynamic Host Configuration Protocol (DHCP) interface module 260, such as DNSmasq for example. The communication module 230 is configured to allow the communication between Netbox 210 and OpenStack 220, allowing the exchange of necessary configuration data.

According to an embodiment, the configuration module 240 is configured to initialize the CMDB module 210 with information relating to the at least one switch 12 and its configuration.

According to an embodiment, one of the primary functions of the configuration module 240 is to initialize the CMDB module 210 with information relating to the network infrastructure, including switches 12 and their configurations. More specifically, the configuration module 240 can perform the following tasks:

Provisioning network devices: The configuration module 240 is configured to provision network devices like switches 12 by pushing their configurations to them after they have been booted up. It does this by utilising rendered configurations obtained from the CMDB module 210 for DHCP services on IPMI and management networks, as well as for switch provisioning.

Synchronizing with the deployment module 220: The configuration module 240 is configured to synchronise with the deployment module 220 to start the server discovery process. This synchronisation ensures that all network configurations are consistent between the physical infrastructure managed by the CMDB module 210 and the virtual networks managed by the deployment module 220.

Managing IP addresses: The configuration module 240 is configured to manage IP addresses in the computing infrastructure 10 by pre-calculating all required IP addresses based on a set of rules, such as template, subnet mask and number of hosts per subnet, for example. It then stores and transmits these calculated IP addresses to the appropriate components in the network through the communication device 230.

According to an embodiment, the Network Operations Gateway (NOG) module 250 is configured to pilot the switch 12 by receiving configuration data from the CMDB module 210 and applying the received configurations to the switch 12. This process ensures that the switch 12 is properly configured based on the data stored in the CMDB module 210.

According to an embodiment, the primary functions of the NOG module 250 comprise:

Receiving configurations from the CMDB module 210: The NOG module 250 is configured to receive configuration data from the CMDB module 210, which comprises information about switches 12, interfaces, VLANs, and other networking components.

Applying received configurations to network devices: Once the NOG module 250 receives the configurations from the CMDB module 210, it is configured to apply these configurations to the corresponding network devices, ensuring that they are properly configured according to the desired settings.

Piloting switches: The NOG module 250 is responsible for managing and controlling switches 12 in the computing infrastructure 10. It can pilot switches 12 by receiving configurations from the CMDB module 210 and applying them to the switches 12, allowing for efficient and automated network management.

Communication with other modules: The NOG module 250 is configured to communicate with other components of the present technology, such as the deployment module 220 and the communication module 230 for example, to ensure seamless integration and coordination between different parts of the computing infrastructure 10.

Ensuring network security: The NOG module 250 is configured to maintain network security by applying configurations that adhere to security policies and best practices, ensuring that the data centre infrastructure remains protected against potential threats.

According to an embodiment, the Domain Name System (DNS) module 260 is configured to manage the DNS services in the computing infrastructure. The DNS module 260 is provisioned using data from the CMDB module 210, which comprises configurations for the communication module 230 on IPMI and management networks.

According to an embodiment, the Intelligent Platform Management Interface (IPMI) is a standard interface for managing and monitoring computer servers, particularly out-of-band, directly at the hardware level. It enables remote access to various system management features such as power control, temperature monitoring, fan speed control, and BIOS settings. IPMI uses its own dedicated network interface and protocol, allowing administrators to manage servers even when they are not in an active operating system state or when there is a network outage.

According to an embodiment, the server management module 270 comprises at least:

According to an embodiment, the server management module 270 is configured to manage and integrate un-provisioned servers 11 into the computing environment managed by the deployment module 220. Preferably, its primary functions comprises:

Integrating self-encrypting drives (SEDs): the server management module 270 includes a mechanism for managing and integrating Self-Encrypting Drives (SEDs) into the server management process. This ensures that data remains secure by encrypting the drives before they are deployed into the computing infrastructure 10.

Managing encryption keys: the server management module 270 is configured to manage encryption keys assigned to each host, disk, or client in the computing infrastructure 10 and uses the key management module 280 to manage these keys.

Secure boot: the server management module 270 supports secure boot for the computing infrastructure 10 components by generating unique signatures for operating system images, storing them in the key management module 280, and validating that only signed operating system images are loaded during server boot.

Communication with IPA: The management module IPA embedded in an operating system communicates with the control plane to perform encryption and decryption tasks, manage disks, and establish communication with the control plane.

According to an embodiment, the key management module 280 is configured to manage encryption keys for data protection. Its primary functions can comprise:

Securely storing keys: the key management module 280 is configured to use secure storage mechanisms to store encryption keys, ensuring that they are protected against unauthorized access or theft.

Key rotation: the key management module 280 is configured to support key rotation, which is the process of periodically replacing old encryption keys with new ones to enhance security.

Integration with other modules: the key management module 280 is configured to integrate with other components of the present technology to manage encryption keys for these modules and ensure secure communication between them.

Key access control: the key management module 280 is configured to provide fine-grained access control for encryption keys, allowing administrators to grant or deny access based on specific roles or users.

RESTful API: the key management module 280 is configured to offer a RESTful API that enables easy integration with other components of the present technology and external applications.

Support for multiple key types: the key management module 280 is configured to support various types of encryption keys, such as RSA, AES, and ECDSA, to cater to different use cases and requirements.

Key versioning: the key management module 280 is configured to maintain a record of key versions, allowing administrators to roll back to previous versions if needed.

According to an embodiment, the network virtualisation and orchestration module 290 is configured to manage and configure virtual networks within the computing infrastructure 10. Its primary functions can comprise:

Virtual Local Area Network (VLAN) configuration: the network virtualisation and orchestration module 290 is configured to configure VLANs for network interfaces during the server discovery process to ensure proper communication between servers 11 and network devices.

Dynamic Host Configuration Protocol (DHCP) services: the network virtualisation and orchestration module 290 is configured to manage DHCP services, which assign IP addresses and other relevant configurations to servers 11 during the discovery process.

Network security: the network virtualisation and orchestration module 290 is configured to provide networking security features such as firewalls, security groups, and access control lists to protect the virtual network infrastructure from unauthorized access or attacks.

Load balancing: the network virtualisation and orchestration module 290 is configured to offer load balancing capabilities to distribute network traffic across multiple servers for improved performance and availability.

Network automation: the network virtualisation and orchestration module 290 is configured to automate various networking tasks, such as configuring interfaces, creating subnets, and managing routing tables, to simplify the deployment and management of virtual networks.

Integration with other modules: the network virtualisation and orchestration module 190 is configured to integrate with other components of the present technology, including the CMDB module 210, and the Network Operations Gateway module (NOG) 250, to ensure seamless communication and coordination between different parts of the computing infrastructure 10.

According to an embodiment, the present technology also comprises calculating 120 data for initializing the CMDB module 210 and configuring at least a part of the software components using the configuration module 240.

According to an embodiment, the present technology also comprises:

According to an embodiment, at least one network stack is provisioned using provisioning data from the CMDB module 210.

Preferably, this provisioning process involves:

According to an embodiment, the un-provisioned server 11 is booted to be discovered by the deployment module 220. Once the server 11 is discovered, it becomes manageable by at least one user.

According to an embodiment, the discovery process of a new server 11, i.e. a new un-provisioned server, comprises at least three steps: Initialization, Discovery, End of discovery.

Preferably, during the initialisation step of the discovery process, the new server 11 is powered off and unknown to both the deployment module 220 and the Configuration Management Database (CMDB) module 210. Network interfaces on the new server 11 are then configured in a discovery virtual local area network mode (VLAN) by the network virtualization and orchestration component 290. Once the new server 11 is powered on, it boots through the network and loads an agent that analyzes the hardware and generates a report. This report is sent to the deployment module 220, which synchronises the information with the CMDB module 210 using the communication module 230.

Preferably, in the discovery step, the new server's hardware is analyzed by the agent, and its configuration data is reported back to the deployment module 220. The deployment module 220 uses this information to create virtual networks, ports, and other necessary configurations for the new server. Once all configurations are in place, the new server 11 becomes discoverable and manageable by the user.

Preferably, during the end of discovery step, the network interfaces are unconfigured from the Discovery VLAN using the network virtualization and orchestration component 290 and put in an isolation mode, i.e. in quarantine. This is done to ensure security by preventing unauthorised access to the newly discovered server. Advantageously, if a server 11 is deleted from the deployment module 220 database, the corresponding entry in the CMDB module 210 will also be deleted, and the discovery process will be set back for that server 11. This step helps maintain an accurate inventory of servers and their configurations within the data center infrastructure.

Preferably, the discovery process also involves managing IP addresses within the computing infrastructure 10. Pre-calculated IP addresses based on a set of rules such as template, subnet mask and number of hosts per subnet are stored and transmitted to the appropriate components in the network through the communication device 230. Each IP address is related to a template associated with a specific function within the computing infrastructure 10. This dynamic process ensures that all new servers 11 and switches 12 are assigned unique IP addresses, enabling seamless integration into the computing infrastructure 10 network.

The present technology focuses on an innovative method for deploying and managing data centres through autonomous initialisation and configuration processes. The approach encompasses several aspects, which include:

Initialization of Data Center Networks: This aspect concerns the automatic initialisation of network configurations in a data centre, preferably using pre-generated YAML files that can contain the necessary information to configure network equipment.

Control Mechanism for Request Instantiation and Real vs. Logical Configuration Comparison (Ironic and Netbox): This qspect revolves around the control mechanism that enables request instantiation in a data centre by comparing real configurations with their logical counterparts using tools like a server management module (Ironic) and the CMDB module (Netbox).

Execution of Configuration in Parallel (Ironic): This aspect involves the parallel execution of configuration tasks using the server management module (Ironic) when a new server is added to the data center.

Method of Synchronization of Several Controllers (Netbox, OpenStack): This aspect deals with synchronizing multiple controllers in a data center environment, specifically the CMDB module Netbox and the deployment module OpenStack, to maintain consistency between the physical network configuration and the virtualized network configurations managed by OpenStack.

Provisioning of Configuration of Equipment in Parallel (Netbox, OpenStack): This fifth technology involves the parallel provisioning of configurations for multiple pieces of equipment in a data center using Netbox and OpenStack to quickly integrate new equipment into the existing infrastructure without causing unnecessary downtime or configuration conflicts.

The present technology also includes an optional aspect for encryption for data protection using Self-Encrypting Drives (SEDs) and at least one server management module (Ironik), the logistic stack used for bare-metal deployment and management, to manage encryption keys and ensure that all new servers are encrypted before being deployed into the data centre.

According to an embodiment, an IP address is assigned as a function of termination for Virtual Extensible LAN (VXLAN) and Border Gateway Protocol (BGP). Preferably, this IP address functions as the intermediary address between two networked devices in a dynamic mode.

According to an embodiment, IP addresses between network devices are pre-calculated and assigned to their respective interfaces within the Configuration Management Database (CMDB) module 210. Once in CMDB module 210, the present technology is configured to allow the retrieving of the interconnections between network devices and thus obtain the necessary information to establish routing protocol BGP connections. Advantageously, to set up a BGP session, it is preferable to know the Autonomous System Number (ASN) of the device on the other end for the BGP peer configuration.

According to an embodiment, pre-calculating IP addresses for network devices and assigning them to their respective interfaces within the CMDB module 210 enables to effectively identify connections between devices and configure BGP sessions, preferably with the required ASN information. Advantageously, this streamlines the process of managing a complex network infrastructure while ensuring accurate and consistent routing configurations.

According to an embodiment, the Intelligent Platform Management Interface (IPMI) is configured for managing servers within a computing infrastructure. Advantageously, this setup enables efficient and centralized control over server operations.

According to an embodiment, the present technology allows for minimal footprint automated infrastructure deployment through the use of compact and efficient hardware components and streamlined software processes. This enables quick and easy implementation in various environments with limited space or resources.

According to an embodiment, FIGS. 4a to 4f provide an illustrated representation of some steps involved in the computer-implemented method for automated deployment of at least one computing infrastructure according to the present technology.

In FIG. 4a, the configuration module 240, Flux, is shown sending data to the CMDB module 210, Netbox. This data includes information about the un-provisioned server 11 and switch 12 that are yet to be deployed in the computing infrastructure 10. The communication module 230, Dicious, which manages communication between various software components, facilitates this transfer of data from the configuration module 240 to the CMDB module 210.

In FIG. 4b, the CMDB module 210 receives the data sent by the configuration module 240 and uses it to configure the Domain Name System (DNS) module 260, DNSMasq. The communication module 240 manages the DHCP interface for the DNS module 260 during this process. This step ensures that the DNS services in the computing infrastructure 10 are properly configured, enabling efficient name resolution and network functionality.

In FIG. 4c, the CMDB module 210 sends data to the Network Operations Gateway (NOG) module 250. The NOG module 250 is responsible for piloting the switch 12 by receiving configurations from the CMDB module 210 and applying them to the switch 12. This process automates the configuration of switches 12 in the network infrastructure 10, ensuring consistent and accurate configurations across all switches 12.

In FIG. 4d, the deployment module 220, OpenStack, receives instructions from the CMDB module 210 regarding the inventory data of the un-provisioned server 11 and switch 12. The deployment module 220 provisions the network stack with this information, pushing the configurations onto the switches 12 after boot. This step automates the deployment process, reducing the time and effort required for manual configuration and provisioning.

In FIG. 4e, the servers 11 and switches 12 are shown being provisioned using the data from the CMDB module 210. The deployment module 220 initializes the un-provisioned server 11 by installing an operating system image and other necessary configurations. The network stack is also configured, including virtual interfaces, IP addresses, and routing tables.

In FIG. 4f, the servers 11 are discovered by the deployment module 220 using a server management module 270, Ironic. This discovery process involves initializing the server 11 with an operating system image and other configurations, registering it with the CMDB module 210, and enriching its inventory data. The communication module 230 manages this process by managing DHCP interfaces and allowing communication between the CMDB module 210 and the deployment module 220. Once the server 11 is discovered, it becomes manageable by users within the computing infrastructure 10.

According to an embodiment, the deployment module is configured to perform certain functions. Preferably, this deployment module 220 is capable of detecting at least one new server, i.e. un-provisioned server 11, using the communication module 230.

Advantageously, upon detection of a new server 11, the deployment module 220 sends the port number and switch 12 number of the new server 11 to the Configuration Management DataBase (CMDB) module 210 via the communication module 230.

Furthermore, according to an embodiment, once the new server 11 has been successfully added to the CMDB module 210, the deployment module 220 removes the discovery mode of the new server 11 using the communication module 230.

According to an embodiment, the present technology is configured to use switches 12 from distinct manufacturers, such as Arista or Cisco, for example. Preferably, the network infrastructure 10 employs a diverse range of components for enhanced reliability and interoperability. Advantageously, incorporating switches 12 from different manufactures allows for flexibility in design and potential cost savings.

The use of switches 12 from distinct manufacturers may provide several technical advantages:

Redundancy: Having switches 12 from multiple sources ensures a more robust and resilient infrastructure, as components from different vendors are less likely to fail simultaneously.

Cost savings: By utilizing switches 12 from various manufacturers, organizations may be able to negotiate better pricing or find cost-effective alternatives for specific network requirements.

According to an embodiment, the deployment module 220 comprises the network virtualization and orchestration component 290, Neutron. This component enables creation and management of virtual networks, subnets, routers, firewalls, load balancers, and other networking components within the deployment module 220.

According to an embodiment, the present technology comprises a step of managing server deletion in the computing infrastructure 10. Preferably, the step of managing server deletion comprises the following sub-steps:

According to an embodiment, deleting a server from the deployment module 220 results in the automatic deletion of the corresponding entry in the CMDB module 210. Advantageously, this feature ensures that the configuration management database remains up-to-date with the current state of the computing infrastructure 10. According to another embodiment, the method may include additional steps such as verifying the identity of the user requesting the server deletion or confirming that all dependent resources are removed before initiating the deletion process. Advantageously, these features enhance the security and reliability of the computing infrastructure by ensuring proper handling of dependencies and preventing unintended consequences during server deletions.

According to an embodiment, the present technology comprises a step for securing computing infrastructure 10 components. Preferably, the method comprises ensuring secure boot and/or disk encryption. Advantageously, the present technology can comprise a step of deploying software images. According to an embodiment, secure boot is implemented during the deployment process to ensure that only authorised software is loaded onto the servers. This prevents unauthorised code from running and helps protect against malware attacks. According to an embodiment, disk encryption can also be applied to safeguard data stored on servers 11.

According to an embodiment, the present technology comprises discovering at least one bare-metal server, i.e. un-provisioned server 11, using the server management module 270, such as Ironic. This step allows identifying servers 11 that do not have an operating system installed and are directly accessible at the hardware level. Advantageously, the discovered bare-metal server 11 is presented to the deployment module 220 as a compute resource. The presentation occurs through the server management module 270. This integration enables automated deployment of software on the bare-metal server 11. Preferably, self-encrypting drives (SEDs) are integrated into the server management module 270. These drives provide hardware-level encryption for data stored on them. The present technology is configured to assign unique encryption keys to each host and/or disk and/or client of the computing infrastructure resources. Advantageously, a key management module 280, such as Barbican, manages the assigned unique encryption keys. This ensures secure storage and access to the encryption keys. The encryption is transparent to the operating system, allowing for seamless integration within the computing infrastructure 10.

According to an embodiment, the server management module 270 comprises a control plane component. This component is configured to discover and present servers 11 to the deployment module 220 as compute resources. Preferably, it is further configured to integrate encryption. Additionally, according to an embodiment, the server management module 270 comprises a management module (IPA), which is embedded in an operating system. This management module IPA communicates with the control plane component to perform encryption and decryption tasks, manage disks, and establish communication with the control plane.

According to an embodiment, the present technology comprises a step of securely booting operating systems in the computing infrastructure 10. The present technology can comprises the following sub-steps:

Advantageously, the operating system images are signed by a trusted platform or a trusted provider before being stored and validated. This ensures the authenticity and integrity of the operating system images during the booting process.

According to an embodiment, the key management module 280 is configured to securely store the unique signatures using cryptographic techniques to maintain their confidentiality and prevent unauthorised access. Preferably, the validation step can comprise comparing the stored signatures with the ones generated by the operating system images during the booting process. If a match is found, the server 11 deploys the operating system image; otherwise, it halts the boot process to prevent potential security threats.

According to an embodiment, the FIGS. 5a to 5k illustrate the steps involved in transitioning from an unprovisioned server 11 to a provisioned one and the recycling process for decommissioning servers 11 using the server management module 270 in the context of deploying and managing at least one computing infrastructure 10. The figures demonstrate various stages, including connecting the server 11 to the provisioning network, booting on IPMI, unlocking disks, switching back to user mode, deleting the server 11, and encrypting SEDs during the recycling process.

In FIG. 5a, the initial state of a computing infrastructure is depicted with several software components, such as NOVA, IRONIC, Barbican, KMS, and TFTP. A customer network is connected to two hosts, some disks are locked, and a provisioning network is present. Preferably, NOVA is related to an orchestrator module configured to orchestrate compute resources. Preferably, KMS is a key management system that can be connected or included into the key management module 280, called Barbican. Preferably, TFTP is a file transfer module configured to manage the transfer of files.

In FIG. 5b, Nova sends a request to Ironic to start the baremetal node by connecting it to the provisioning network. Ironic reconfigures the host interface to switch it to the provisioning network.

FIG. 5c illustrates the boot process of the server on IP Address Management Interface (IPMI) over the network using PXE boot or iPXE. The host downloads the image from the TFTP server during this boot process.

In FIG. 5d, the Ironic Python Agent image is executed on the host. It asks the control plane for instructions and receives a command to load the “Unlock Disk” feature.

FIG. 5e shows IPA using the instructions from Ironic to unlock all disks using a given key obtained from Barbican and stored in KMS.

In FIG. 5f, IPA is configured to unlock all disks with the provided key, preferably using OPAL-API.

FIG. 5g represents the “switch back to user” step where IPA informs Ironic that the job has been completed successfully, and a soft reboot is initiated. Ironic removes the network configuration and puts the host back on the customer network.

FIGS. 5h through 5k demonstrate the recycling server process. In FIG. 5h, a customer sends a delete command to Nova, which then sends the delete request to Ironic. Ironic sends a stop command to the server.

In FIG. 5i, the boot process is initiated again on IPMI for the recycling process. When the server is off, Ironic reconfigures the network to put it on the provisioning network.

FIG. 5j represents the “SEDs revert to factory” step where SEDs are reset to their factory settings.

In FIG. 5k, the “SEDs re-encrypt” step is shown, where SEDs are encrypted using a new encryption key.

In the context of FIGS. 5a to 5k, the initial state (FIG. 5a) sets up the environment with various modules and networks. The “connect server to provisioning network” step (FIGS. 5b and 5c) initiates the process by requesting Ironic to start the bare-metal node and reconfiguring the host interface to switch it to the provisioning network. The host then boots over the network and downloads the image from the TFTP server.

The “execute Ironic Python Agent image” step (FIGS. 5d to 5f) instructs IPA on how to unlock all disks using a given key, which is retrieved from Barbican and passed to IPA. IPA then uses “sedutil-cli” to unlock the disks. The “switch back to user” step (FIG. 5g) informs Ironic that the job has been completed successfully and initiates a soft reboot, removing the network configuration and putting the host back on the customer network.

The “recycling server” process (FIGS. 5h to 5k) involves deleting the OpenStack server, booting it on IPA, reverting the SEDs to their factory settings, encrypting them with the latest encryption keys, and continuing with the cleaning process. This process ensures efficient management of resources in a large-scale data center environment while maintaining security and flexibility.

According to an embodiment, the present technology can comprise an integrated mechanism for managing signatures and versioning. Preferably, the integrated mechanism is designed as a software component. This mechanism enables the tracking and management of various versions of data or information, ensuring that only authorised and authenticated changes are implemented. Advantageously, this feature enhances data security and integrity by providing a reliable means to maintain a record of all modifications made to the system or apparatus over time. Additionally, it allows for efficient version control, enabling users to easily revert to previous versions if necessary.

According to an embodiment, the present technology comprises a step of logging data. Preferably, this logging step records events for subsequent analysis. According to another embodiment, the present technology comprises a monitoring step. In this step, real-time or periodic observation of a system or process is carried out. Advantageously, the present technology may incorporate an auditing step. This step involves reviewing logs and other data to ensure compliance with policies or regulations. Security is another feature that can be incorporated into the present technology, as previously described. Preferably, this security aspect includes measures for protecting data from unauthorised access or manipulation.

According to an embodiment, the present technology comprises a step of reporting a state of a server in the computing infrastructure, the step comprising at least the following sub-steps:

According to an embodiment, the computing infrastructure 10 can comprise a private network for server discovery. Preferably, the private network is implemented as a local area network (LAN) and/or a wide area network (WAN) that is owned and operated by a user or an organization. Advantageously, using a private network for server discovery provides increased security and control over the discovery process compared to using public networks. The private network can be configured with access controls and firewalls to restrict unauthorized access and prevent potential attacks. Additionally, the use of a private network allows for faster and more reliable communication between servers on the network. Advantageously, the use of a private network for server discovery can be particularly beneficial in environments where security and reliability are critical, such as in financial services, healthcare, or government applications. By controlling the discovery process within a private network, organizations can reduce the risk of unauthorized access or data breaches that can occur when using public networks for discovery. Additionally, according to an embodiment, the present technology can comprise implementing load balancing and failover mechanisms to ensure high availability and fault tolerance of the server infrastructure. Preferably, these mechanisms are integrated with the private network and can automatically detect and redirect traffic to available servers in case of failures or overload conditions.

According to an embodiment, the present technology comprises a step of managing Internet Protocol (IP) addresses in a computing infrastructure. This step can comprise the following sub-steps:

In more detail, according to an embodiment, this step begins by determining the necessary IP addresses based on predefined rules such as subnet mask and number of hosts per subnet. These calculations are performed offline and the resulting IP addresses are stored for later use. When required, the calculated IP addresses are transmitted to the appropriate components in the network through the communication module 230. Advantageously, each IP address is associated with a specific template that defines its function within the computing infrastructure 10. For example, an IP address used for a web server may be associated with a template that includes port numbers and other relevant configuration information. This allows for easy management and configuration of network components. Furthermore, IP addresses can be dynamically updated to accommodate changes in the network environment. For instance, if a new component is added to the network, its IP address can be calculated and transmitted to the appropriate module and/or device using the present technology. Similarly, if an existing IP address needs to be changed, the calculation can be re-run and the updated IP address can be transmitted accordingly.

It has to be noticed that IP addresses must be provisioned, or reserved, when setting up the configuration of a new server 11. Failure to do so may result in connectivity issues between devices. Traditional methods of using IP auto-addressing services like DHCP are suitable for simple interfaces such as management networks but not for interconnecting network devices.

The presented solution aims to simplify the process of configuring network devices in a data center environment by utilizing templates.

For example, the present technology can comprise a first and a second template.

Preferably, the first template, referred to as “device types,” can be configured to define the interfaces and their roles for various device types.

Preferably, the second template, named “network prefixes per roles,” can be configured to specify IP address ranges available for different roles.

This approach streamlines the configuration process by automating the assignment of interfaces and IP addresses based on a device's role and type.

FIG. 6 illustrates the workflow switch configuration. This workflow begins with providing a list of devices, such as switches and/or servers, along with their respective roles and types.

According to an embodiment, the first step in the process is to expand the given devices using the “device types” template. This expansion results in devices having their associated interfaces labeled. Subsequently, two parallel processes are initiated. These processes parse the interface lists for each device and determine IP addresses based on the device's role and label. By utilizing templates and parallel processing, the solution efficiently generates a high-level configuration file for network devices.

Preferably, the first step in the workflow involves providing a list of devices, including switches and their respective roles and types. This information is crucial for determining the interfaces and IP addresses required for each device based on its role within the network infrastructure.

Next, the configuration process begins by expanding the given devices using the “device types” template. This expansion results in a more detailed representation of the devices, including their associated interfaces labeled according to their roles. For instance, if we have a switch with the role of a Top-of-Rack (ToR) switch, its interface labels would be defined based on the device types of template for ToR switches.

Following this expansion step, two parallel processes are initiated: one for parsing the list of interfaces per device and another for calculating IP addresses and completing specific attributes based on the role of the device and the label of the interface. These processes run concurrently to optimize efficiency in the configuration process.

The first parallel process, which handles interface parsing, determines the IP addresses and other relevant configurations for each interface based on its label and the role of the device it is associated with. For example, if an interface is labeled as a management interface, it would be configured using the network prefixes per roles template for management interfaces.

The second parallel process, which handles IP address calculation and attribute completion, uses the “network prefixes per roles” template to determine the available IP address ranges for each role. Based on this information, it calculates the specific IP addresses required for each interface based on its label and the role of the device it is associated with. Additionally, it completes any other necessary attributes for the interfaces, such as VLANs or subnet masks.

Once both parallel processes have completed their tasks, a high-level configuration file for the network devices is generated. This file contains all the necessary information to configure the switches and other network devices within the data center infrastructure. The FIG. 6 illustrates this workflow in a clear and concise manner, highlighting the importance of templates and parallel processing in optimizing the switch configuration process.

As previously mentioned, the advantages of this template-based solution comprise improved efficiency and reduced errors in configuring network devices. The automation of interface assignment and IP address calculation ensures consistency across the data center infrastructure. Additionally, the parallel processing of multiple devices allows for a more scalable approach to managing large numbers of devices. This solution offers organizations an effective way to manage their network configurations while maintaining security, reliability, and flexibility in their data center environment.

According to an embodiment, the present technology can be configured to manage a fleet of distributed computing infrastructure 10, i.e. data centers. Preferably, each computing infrastructure 10 in the fleet can be geographically dispersed and operates independently. Advantageously, the present technology comprises monitoring the performance of each computing infrastructure 10 in real-time and allocating workloads accordingly to optimize resource utilisation and improve overall system efficiency. Furthermore, the present technology may comprise implementing automated failover mechanisms to ensure high availability and disaster recovery capabilities. Additionally, the present technology can comprise integrating security measures to protect data and prevent unauthorized access to the data centers in the fleet. Moreover, the present technology may involve using advanced analytics and machine learning algorithms to predict and prevent potential issues before they occur, thereby reducing downtime and improving system reliability. Advantageously, the present technology can be implemented using a cloud-based platform or a decentralized network architecture for scalability and flexibility.

According to an embodiment, the present technology comprises a step of managing a fleet of distributed computing infrastructures, the step comprising at least the following sub-steps:

According to an embodiment, the present technology can be configured to mutualize at least one switch 12 between a plurality of deployment modules 220. Preferably, each deployment module 220 is an OpenStack environment. Advantageously, this arrangement allows for multiple Network Operating Gateways (NOGs) module 250 to utilize the same switch 12.

According to another embodiment, in the absence of mutualizing switches 12 between NOGs 250, each NOG would require its own dedicated switch 12. This could lead to increased costs and complexity. Advantageously, one switch 12 can be shared among multiple NOGs 250. This reduces the overall number of required switches 12 and lowers costs. Furthermore, according to an embodiment, each client, i.e. user, is associated with a specific NOG 250. However, due to the mutualized switch 12 arrangement, multiple clients from different NOGs 250 may transmit data through the same switch 12 at different times. This does not cause any interference or conflicts, as the NOG 250 association ensures proper routing and management of the transmitted data.

According to an embodiment, the present technology can comprise a mutualization step of managing network infrastructure in a computing infrastructure. Preferably, the step can comprise at least enabling multiple deployment modules 220 to share at least one switch 12 by synchronizing their configurations and allowing efficient utilization of resources.

According to an embodiment, the present technology relates to a computer-readable storage medium storing instructions for implementing the present technology, and therefore being configured to deploy and manage through autonomous initialization and configuration processes.

According to an embodiment, the first portion of the instructions on the computer-readable storage medium pertains to the automatic initialisation of network configurations in the computing infrastructure 10. This process can begin by pre-generating YAML files, which contain necessary information for configuring network equipment. These YAML files can be converted into usable configuration files using processes under Netbox and other tools and/or modules.

According to an embodiment, the second part of the instructions deals with the control mechanism that enables request instantiation in the computing infrastructure 10. This mechanism involves comparing real configurations with their logical counterparts using modules like Ironic 270 and Netbox 210, for example. Upon detection of a new server 11, OpenStack 220 initiates actions to configure it automatically, including installing the initial operating system image, registering the server 11 with Netbox 210, and enriching its inventory. Once the server's configuration is updated in Netbox 210, Dicious 230 generates network configuration files for OpenStack 220 to use, enabling the creation of virtual networks, ports, and other configurations required for the server to function correctly.

According to an embodiment, the third part of the instructions focuses on the parallel execution of configuration tasks using Ironic 270 when a new server 11 is added to the computing infrastructure. Ironic 270 manages power states, deploys operating system images and configurations, and provisions new servers with appropriate network configurations.

According to an embodiment, the fourth part of the instructions deals with synchronizing multiple controllers in the computing infrastructure 10 environment, specifically Netbox 210 and OpenStack 220. This synchronization is essential for maintaining consistency between the physical network configuration and the virtualized network configurations managed by OpenStack 220.

According to an embodiment, the fifth part of the instructions involves the parallel provisioning of configurations for multiple pieces of equipment in the computing infrastructure 10 using Netbox 210 and OpenStack 220. This process ensures that new equipment is quickly integrated into the existing infrastructure without causing unnecessary downtime or configuration conflicts.

According to an embodiment, an optional feature of the present technology relates to encryption for data protection. The objective is to ensure that sensitive information remains confidential even if the physical security of the servers is compromised. This encryption feature can be applied transparently at the disk level using Self-Encrypting Drives (SEDs) without requiring any modification to the operating system or application layer.

According to an embodiment, the present technology relates to a processing sub-system 200 for automated deployment of a computing infrastructure 10. This processing sub-system 200 comprises at least one un-provisioned server 11 and at least one switch 12. The processing sub-system 200 also comprises a processor 300 and a computer-readable medium storing instructions that, upon being executed by the processor 300, cause the execution of various software components.

As previously described, according to an embodiment, the software components comprise at least:

Optionally, a server management module 270, preferably configured to manage and control the provisioning, deployment, and lifecycle of un-provisioned servers 11 in the computing infrastructure 10 environment. It interacts with other components such as the deployment module 220 and the network virtualization and orchestration component 290, for example Neutron, to ensure seamless integration of new servers 11 into the existing infrastructure while maintaining security and consistency;

Optionally, a key management module 280, preferably configured to manage and securely store encryption keys for various components of the computing infrastructure 10, ensuring that only authorized users have access to these keys. It automates the process of generating, distributing, and rotating encryption keys during server provisioning and deployment;

Optionally, a network virtualisation and orchestration module 290, called Neutron, preferably configured to manage and create virtual networks, subnets, routers, firewalls, load balancers, and other related networking components within the computing infrastructure 10. It enables the automation of network configuration and management tasks, ensuring efficient and consistent deployment and maintenance of network services in the computing infrastructure 10 environment.

According to an embodiment, the processing sub-system 200 can also comprise at least one NOG master 251 and at least a plurality of NOG slaves 252. The NOG master 251 holds data about a plurality of switches 12, while each NOG slave 252 contains data about only one switch 12 from the plurality of switches 12. Preferably, in this multi-NOGs configuration, the master NOG 251 is capable of configuring all shared elements as it has knowledge of all switches 12. In contrast, each slave NOG 252 only possesses information regarding its respective switch 12 and does not have access to the configurations of other switches 12.

According to an embodiment, to address the challenges associated with managing large network fabrics using a single automation instance of a NOG in data centers, a new solution is required. Indeed, there is a need for multiple NOG instances to improve availability, resiliency, and security while maintaining the ability to share common information for local configuration management.

According to an embodiment, and as illustrated by FIGS. 7a and 7b, the present technology offers to extend an existing NOG architecture to support multiple instances. Each MiniPod, i.e. group of racks, can run its local NOG instance with an associated orchestrator, for example, the deployment module 220, also called OpenStack. Preferably, a MiniPod is a group of a predetermined number of racks managed by the same deployment module 220. This setup eliminates the need for a centralized single-point-of-failure instance and allows for better management of different areas of responsibility within the network fabric.

One key advantage of this solution is that there will be no direct interaction between shared devices and local instances, which significantly reduces the attack surface and enhances security. However, it's essential to ensure that these local instances can still manage their local configurations effectively.

According to an embodiment, to achieve this goal, the present technology provides a mechanism for sharing common information between the local NOG instances. This could be accomplished through a centralized database or a distributed data store accessible to all instances. By enabling each instance to access and utilize the shared information, they will be able to manage their local configurations while maintaining consistency with the overall network fabric configuration.

According to an embodiment, the proposed solution for managing computing infrastructure networks comprises splitting the Network Operations Gateway (NOG) into central, i.e. master, and local, i.e. slave, instances, each managed by a separate orchestrator. This design allows for better availability, resiliency, and security as it eliminates the need for a single-point-of-failure instance and enables different areas of responsibility within the network fabric. The central NOG instance, hosted on the main controller (NUC0), manages local TOR (Top-Of-Rack) and EDGE devices, while each customer controller hosts a local NOG instance to manage its dedicated TOR devices.

FIGS. 7a and 7b are diagrams that illustrate the concept of multiple instances of Network Operations Gateways (NOGs) in a computing infrastructure 10 according to an embodiment of the present technology. These figures demonstrate how a central NOG instance manages local TOR (Top-Of-Rack) devices and EDGE devices, while each customer controller hosts a local NOG instance to manage its dedicated TOR devices.

According to an embodiment, and as illustrated by FIG. 7a, in this high-level design, the central NOG instance is responsible for managing local TOR and EDGE devices, providing network services connectivity with external networks or devices. The local NOG instances, on the other hand, manage their respective dedicated TOR devices, enabling customers to manage their own local network resources through their local NOG instance. To facilitate sharing information for building shared services, NOG instances can declare a node as “remote,” which does not require configuration management.

The benefits of this solution include improved availability and resiliency due to the elimination of a single-point-of-failure instance and the ability to manage different areas of responsibility within the network fabric. Additionally, the design offers enhanced security as each customer has control over its local network resources through its dedicated NOG instance. The capability to share information between instances allows for the building of shared services while minimizing direct interaction between shared devices and local instances.

According to an embodiment, the Local NOG, also called the slave NOG, is responsible for managing the Top-of-Rack (ToR) devices within a rack, while being aware of remote nodes outside its scope but unable to change their configurations. It is addressed by a local orchestrator. On the other hand, the Central NOG manages nodes that are located outside of racks or not managed by a Local NOG instance. The Central NOG creates and deletes services (evpnedges) on these nodes to allow configuration on the local ToR and is aware of ToR devices as remote nodes. It syncs tasks, pushes configurations, and manages these remote nodes when needed.

According to an embodiment, each Local NOG, i.e. the slave NOG, plays a role in managing the network infrastructure within a rack, ensuring that the ToR devices are configured correctly and functioning optimally. By being aware of remote nodes, it can utilize their information for local purposes but does not have the ability to change their configurations. This separation of responsibilities allows for better organization and management of the data center network. The Local NOG is a component allowing to maintain the overall network infrastructure while ensuring that each rack operates efficiently and effectively.

According to another embodiment, the Central NOG, i.e. the master NOG, on the other hand, focuses on managing nodes that are located outside of racks or not managed by a Local NOG instance. It acts as a central hub for managing extended services between local and remote nodes. It enables configuration on the local ToR devices. The Central NOG's ability to sync tasks and manage remote nodes ensures that the entire data center network remains consistent and cohesive. This separation of responsibilities between Local and Central NOG instances allows for efficient management and maintenance of large-scale data center networks.

According to an embodiment, FIG. 7b illustrates a low-level design for configuring a service between two Network Operations Gateway (NOG) instances, referred to as “master” and “slave.” These NOG instances manage different parts of the network infrastructure, with the master instance managing devices within one area and the slave instance handling devices in another area. The service can be identified by a VxLAN identifier, which is used on both NOG instances to ensure proper synchronization. Preferably, the present technology can comprise a synchronization process involves in creating specific objects, EDGE1A/B on the slave instance and TOR2A/B on the master instance, and completing their configuration with evpn_edges objects on each side.

According to an embodiment, the synchronization process configures services between NOG instances. For example, It can begin by creating the EDGE1A/B objects on the slave instance and the TOR2A/B objects on the master instance. These objects represent the network devices that need to be configured as part of the service. Once these objects have been created, evpn_edges objects are added to each side to complete the configuration process. The evpn_edges objects enable the communication between the devices and ensure that the service functions correctly within the data center infrastructure.

The low-level design for configuring services between NOG instances provides several advantages. By using a VxLAN identifier, the synchronization process ensures that both NOG instances have consistent information about the network devices and their configurations. This reduces the likelihood of errors and inconsistencies in the network infrastructure. Additionally, by allowing each NOG instance to perform configuration tasks on their relevant switches, the design enables efficient management of the data center environment while maintaining security and reliability.

According to an embodiment, the multi-NOG configuration in the processing system offers several technical advantages:

Security: The multi-NOG configuration enhances security by limiting access to configurations and control of switches to only those authorized personnel who manage the specific NOG. This reduces the attack surface and minimizes the potential impact of a security breach.

Scalability: As the data center grows, adding more switches can be easily managed by creating new NOGs without affecting the existing infrastructure or requiring extensive changes to the management system.

Flexibility: Each NOG slave can be configured independently, allowing for customization and tailored solutions for specific use cases or requirements within the data center.

According to an embodiment, the present technology comprises a multi-controllers sub-system for managing and automating the deployment and configuration of the computing infrastructure 10, the multi-controllers sub-system comprising:

This design enhances scalability, improves fault tolerance, and ensures efficient resource utilization by allowing for parallel processing and load balancing among the controllers.

According to an embodiment, and as previously described, the processing sub-system 200 is configured to automate the deployment and management of computing infrastructure 10, including un-provisioned servers 11 and switches 12, preferably in a data center environment.

Advantageously, this processing system offers several technical advantages:

Automated infrastructure deployment: The processing sub-system 200 automates the process of deploying computing infrastructure 10, including servers 11 and switches 12, reducing errors and inconsistencies that can occur with manual methods.

Optional security measures against unwanted physical accesses: The processing sub-system 200 can comprise features to ensure secure boot and disk encryption for the computing infrastructure 10 components, providing an additional layer of security against unauthorized access.

Real-time feedback: The synchronization process between Netbox 210 and OpenStack 220 enables real-time feedback, allowing administrators to monitor and manage the computing infrastructure 10 network more effectively.

Parallel processing: The parallel provisioning of configurations for multiple pieces of equipment in a computing infrastructure 10 using the CMDB module 210 and the deployment module 220 ensures that new equipment is quickly integrated into the existing infrastructure without causing unnecessary downtime or configuration conflicts.

Encryption for data protection: The optional encryption feature for data protection ensures that sensitive information remains confidential even if the physical security of the servers 11 is compromised.

According to an embodiment, the present technology concerns the automatic initialisation of network configurations in a data center, i.e. a computing infrastructure 10. This process 100 can, for example, begin by pre-generating YAML files containing the necessary information to configure network equipment. These YAML files are converted into usable configuration files using processes under a Configuration Management DataBase (CMDB) module 210 and other tools.

Preferably, upon receiving the pre-filled response file, the sub-system 200 executes several steps:

DNS mask configuration: The DNS mask is configured with required information, acting as an interface between physical assets and the sub-system 200. It uses standard protocols like DHCP to answer requests from servers and provide them with necessary configurations.

Network equipment discovery: Once the DNS mask is configured, network switches 12 can be discovered, and their configurations are updated accordingly based on the information in the YAML files. The switches 12 will then reboot, apply new configuration, and become available for further management.

According to an embodiment, the present technology revolves also around a control mechanism that enables request instantiation in a data centre 10. This mechanism involves comparing real configurations with their logical counterparts using tools like Ironic 270 and Netbox 210:

Configuration synchronization: Once the server's configuration is updated in Netbox 210, Dicious 230 generates necessary network configuration files for OpenStack 220 to use, enabling creation of appropriate virtual networks, ports, and configurations required for the server 11 to function correctly.

Server boot: Once all configurations are in place, the server 11 can be booted, and it will begin communicating with OpenStack 220 via Ironic 270. This communication enables discovery, enrollment, and management by OpenStack 220 using standard procedures.

According to an embodiment, the present technology also involves parallel execution of configuration tasks using Ironic 270:

Power management: Ironic 270 manages power states of servers 11 to ensure they are ready for deployment or maintenance activities, including turning servers 11 on or off as needed.

Image deployment: Ironic 270 can deploy operating system images and other necessary configurations to newly added servers 11, ensuring consistency and minimizing downtime.

Provisioning: Ironic 270 can provision new servers 11 with appropriate network configurations, allowing them to integrate seamlessly into the existing data center infrastructure 10. This includes configuring virtual interfaces, IP addresses, and routing tables.

According to an embodiment, the present technology deals with synchronizing multiple controllers in a data centre 10 environment, specifically Netbox 210 and OpenStack 220:

Configuration update: When a change is made to the network configuration in Netbox 210, it is propagated to all connected OpenStack 220 controllers through well-defined APIs or communication mechanisms.

Automatic network reconfiguration: Once OpenStack 220 controllers receive updated configuration, they automatically reconfigure virtual networks and other components as needed to maintain consistency with physical network.

Real-time feedback: This synchronisation process enables real-time feedback between Netbox 210 and OpenStack 220, allowing administrators to monitor and manage the data center 10 network more effectively.

According to another embodiment, the present technology also involves parallel provisioning of configurations for multiple pieces of equipment in a data centre 10 using Netbox 210 and OpenStack 220:

Automated configuration propagation: Once configuration information is imported into Netbox 210, it is automatically propagated to all connected OpenStack 220 controllers through well-defined APIs or communication mechanisms.

Parallel processing: OpenStack 220 controllers process the configuration information concurrently, enabling multiple pieces of equipment to be configured and integrated into data center 10 network more efficiently.

Feedback and validation: This process enables real-time feedback between Netbox 210 and OpenStack 220, allowing administrators to validate configuration changes and ensure all equipment is functioning correctly.

The present technology also includes an optional aspect for encryption for data protection using Self-Encrypting Drives (SEDs) and Ironic 270 for automatic management of encryption keys.

Additionally, the present technology relates to improved provisioning processes, Secure Boot technology, and Data Centre as a Service with distributed auditing and key management. These features offer significant improvements in the area of data security for large-scale data centres by implementing encryption at the disk level using Self-Encrypting Drives, automating provisioning processes with Ironic 270, enhancing boot security through Secure Boot technology, and enabling clients to have full control over their infrastructure while maintaining data security with distributed key management and auditing features.

Unless otherwise specified herein, or unless the context clearly dictates otherwise the term about modifying a numerical quantity means plus or minus ten percent. Unless otherwise specified, or unless the context dictates otherwise, between two numerical values is to be read as between and including the two numerical values.

In the present description, some specific details are included to provide an understanding of various disclosed implementations. The skilled person in the relevant art, however, will recognize that implementations may be practiced without one or more of these specific details, parts of a method, components, materials, etc. In some instances, well-known methods associated with artificial intelligence, machine learning and/or neural networks, have not been shown or described in detail to avoid unnecessarily obscuring descriptions of the disclosed implementations.

In the present description and appended claims “a”, “an”, “one”, or “another” applied to “embodiment”, “example”, or “implementation” is used in the sense that a particular referent feature, structure, or characteristic described in connection with the embodiment, example, or implementation is included in at least one embodiment, example, or implementation. Thus, phrases like “in one embodiment”, “in an embodiment”, or “another embodiment” are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments, examples, or implementations.

As used in this description and the appended claims, the singular forms of articles, such as “a”, “an”, and “the”, may include plural referents unless the context mandates otherwise. Unless the context requires otherwise, throughout this description and appended claims, the word “comprise” and variations thereof, such as, “comprises” and “comprising” are to be interpreted in an open, inclusive sense, that is, as “including, but not limited to”.

In this manner, the present technology provides the capability of efficient automated secure deployment and management of computer infrastructures, including infrastructures that are deployed offsite.