Microservices, IoT and Azure [electronic resource] : Leveraging DevOps and Microservice Architecture to deliver SaaS Solutions /
Familiar, Bob.author.
This book provides practical guidance for adopting a high velocity, continuous delivery process to create reliable, scalable, Software-as-a-Service (SaaS) solutions that are designed and built using a microservice architecture, deployed to the Azure cloud, and managed through automation. Microservices, IoT, and Azure offers software developers, architects, and operations engineers' step-by-step directions for building SaaS applications-applications that are available 24x7, work on any device, scale elastically, and are resilient to change--through code, script, exercises, and a working reference implementation. The book provides a working definition of microservices and contrasts this approach with traditional monolithic Layered Architecture. A fictitious, homebiomedical startup is used to demonstrate microservice architecture and automation capabilities for cross-cutting and business services as well as connected device scenarios for Internet of Things (IoT). Several Azure PaaS services are detailed including Storage, SQL Database, DocumentDb, Redis Cache, Cloud Services, Web API's, API Management, IoT Hub, IoT Suite, Event Hub, and Stream Analytics. Finally the book looks to the future and examines Service Fabric to see how microservices are becoming the de facto approach to building reliable software in the cloud. In this book, you'll learn: What microservices are and why are they're a compelling architecture pattern for SaaS applications How to design, develop, and deploy microservices using Visual Studio, PowerShell, and Azure Microservice patterns for cross-cutting concerns and business capabilities Microservice patterns for Internet of Things and big data analytics solutions using IoT Hub, Event Hub, and Stream Analytics Techniques for automating microservice provisioning, building, and deployment What Service Fabric is and how it's the future direction for microservices on Microsoft Azure.
High Velocity  Reusable and Composable ;  Flexible ;  Versionable and Replaceable ;  Owned by One Team ;  The Challenges of Microservices;  [re]Organization ;  Platform;  Identification ;  Testing ;  Discoverability ;  Summary; Chapter 3: Microservice Architecture;  Layered Architecture ;  A Microservice Approach;  Microservice Logical Architecture ;  Models ;  SDK Layer ;  API Gateway Layer ;  Protocol Layer ;  Service Layer ;  Data Access Layer ;  Store ;  Automation ;  Summary; Chapter 4: Azure, A Microservice Platform;  Data and Storage;  Azure Storage;  SQL Database ;  DocumentDb
Redis Cache  Service Bus;  Queue ;  API Management ;  API Proxies ;  API Subscriptions;  Policy Injection ;  Containers;  Cloud Services and App Services ;  Summary; Chapter 5: Automation;  Azure PowerShell;  PowerShell Consoles;  Provisioning;  Azure Resource Groups;  The Home Biomedical Git Repository ;  Provisioning Azure Resources;  Console Application Integration;  Provisioning Shared Services;  Collecting Connection Strings ;  Provisioning Microservices;  Provisioning the Biometrics Microservice;  Build;  NuGet Packaging ;  Build Scripts;  Deployment;  Deploy Data;  Generate Packages
Deploy Packages Deploy Biometrics Microservice;  Verifying Data Deployment;  Verifying Microservice Deployment ;  Verifying the Biometrics Microservice;  Summary; Chapter 6: Microservice Reference Implementation;  The Product;  The Epic;  The Business Capabilities;  The Technical Capabilities;  The Azure Resources;  The Custom Microservices;  Microservice Reference Implementation;  One Microservice, Two APIs;  Common; Wire; ModelManager; Rest; Store; Optimized Persistence; Interfaces; Implementation; Queue; Cache; Dbase; Persist;  ConfigM - Configuration and Discoverability; ConfigM Model
ConfigM InterfacesConfigM Services; ConfigM APIs; ConfigM SDKs; The ConfigM Administrator Console;  Summary; Chapter 7: IoT and Microservices;  IoT Capabilities;  Azure IoT Services;  Custom Development; IoT Hub;  Scripted Scenario; IoT Suite;  The Reference Implementation IoT Capabilities;  Device Management;  Telemetry Ingestion; The BioMax-Home Device Simulator;  Telemetry Transformation and Storage; Stream Analytics Queries;  Real-Time Notifications; Biometrics Alarm Worker; Testing Push Notifications;  Real-Time Data Visualization; Biometrics API;  Summary; Chapter 8: Service Fabric
Concepts
Includes index.
This book provides practical guidance for adopting a high velocity, continuous delivery process to create reliable, scalable, Software-as-a-Service (SaaS) solutions that are designed and built using a microservice architecture, deployed to the Azure cloud, and managed through automation. Microservices, IoT, and Azure offers software developers, architects, and operations engineers' step-by-step directions for building SaaS applications-applications that are available 24x7, work on any device, scale elastically, and are resilient to change--through code, script, exercises, and a working reference implementation. The book provides a working definition of microservices and contrasts this approach with traditional monolithic Layered Architecture. A fictitious, homebiomedical startup is used to demonstrate microservice architecture and automation capabilities for cross-cutting and business services as well as connected device scenarios for Internet of Things (IoT). Several Azure PaaS services are detailed including Storage, SQL Database, DocumentDb, Redis Cache, Cloud Services, Web API's, API Management, IoT Hub, IoT Suite, Event Hub, and Stream Analytics. Finally the book looks to the future and examines Service Fabric to see how microservices are becoming the de facto approach to building reliable software in the cloud. In this book, you'll learn: What microservices are and why are they're a compelling architecture pattern for SaaS applications How to design, develop, and deploy microservices using Visual Studio, PowerShell, and Azure Microservice patterns for cross-cutting concerns and business capabilities Microservice patterns for Internet of Things and big data analytics solutions using IoT Hub, Event Hub, and Stream Analytics Techniques for automating microservice provisioning, building, and deployment What Service Fabric is and how it's the future direction for microservices on Microsoft Azure.
Microsoft software.
Microsoft .NET Framework.
Software engineering.
Computer programming.
Microsoft and .NET.
Software Engineering/Programming and Operating Systems.
Programming Techniques.