# A Comparative Analysis of High Availability for Linux Container Infrastructures
## 6 Discussion
The recommendations will help cloud professionals and decision makers select the most appropriate high availability solution based on specific use cases and requirements. High performance and data transfer: In scenarios where high data transfer speeds are preferred, Proxmax appears to be the most suitable option. Proxmax's ability to transfer large amounts of data within a certain time frame makes it ideal for data-intensive workloads such as big data processing and large-scale data analysis. Organizations that work with significant volumes of data can benefit from Proxmox's high-throughput capabilities that ensure efficient and timely data processing. Load balancing and failover: If load balancing and failover features are essential, Docker with Docker Swarm is recommended. The Docker Swarm load balancing manager efficiently distributes requests across containers, optimizes resource utilization, and ensures high availability. For applications that require balanced traffic distribution and redundancy for failover scenarios, Docker Swarm's load balancing capabilities prove to be highly valuable. Recovery from node failure: For environments that require fast and reliable recovery from node failures, Docker with Docker Swarm proves to be the right choice. Docker Swarm's fast recovery time minimizes downtime and ensures seamless continuity of critical services. Docker Swarm's robust node failover features contribute to increased service reliability and reduced service interruptions. The Kubernetes platform trails closely behind in the ranking hierarchy. Minimum number of failed calls and no load balancing: If minimizing the number of failed calls without the use of load balancing is a priority, Proxmox stands out as the most suitable option. Proxmox's stability in such scenarios ensures reliable service delivery with fewer interruptions and minimal call drops. In situations where load balancing is not necessary or relevant, Proxmox's consistent performance proves advantageous for providing uninterrupted services. Comprehensive fault tolerance: Organizations with a variety of applications requiring comprehensive fault tolerance should consider Docker with Docker Swarm. The combination of Docker Swarm's high service recovery speed, low call failure rate, and load-balancing features ensures a robust and reliable infrastructure. Docker Swarm's ability to maintain service availability and deliver reliable performance makes it an excellent choice for critical and high-availability applications. Automatic resource scaling: For large-scale applications whose resource demands change dynamically over time, the Kubernetes platform is an appropriate choice. Autoscaling allows a Kubernetes cluster to automatically adjust the number of running pods (groups of one or more containers that run together on a single physical or virtual machine within a clustered environment; pods share resources and communicate with each other) based on workload demands. It ensures efficient resource allocation, preventing under- or over-utilization of resources. This makes it possible to optimize costs based on actual demand. When workload is low, Kubernetes can reduce the number of pods to reduce resource consumption and cost. On the contrary, during periods of high demand, the number of pods can be increased to satisfy increased workload without manual intervention. The application can handle increased traffic or peak workloads, providing end users with better performance and responsiveness. These guidelines and recommendations are based on specific performance characteristics observed in experiments. However, it is important to note that these recommendations are not exhaustive and that each organization's decision may be influenced by its unique requirements and specific use cases. Careful evaluation of workload characteristics, scalability needs, and resource requirements will further help to select the optimal high-availability solution.