Running Container Enabled Microservices on AWS

The Amazon EKS simplifies the process of running Kubernetes on AWS by eliminating the need to build, manage and maintain your own Kubernetes control plane. In this course, you will explore how to effectively utilise Amazon EKS for Kubernetes container management and orchestration.

During the AWS training, you will learn the step-by-step process of constructing an Amazon EKS cluster. This includes setting up the necessary environment, deploying the cluster, and incorporating applications into it. Additionally, you will gain knowledge on automating application deployment and utilising Amazon Elastic Container Registry (ECR) for efficient container image management.

The course also covers the implementation of CI/CD techniques for streamlined application releases. You will discover how to leverage continuous integration and continuous delivery methods to automate the deployment process and ensure efficient software delivery.

Furthermore, the training delves into the use of metrics, logging, tracing, and both horizontal and vertical scaling to effectively monitor and scale your environment. The course emphasizes designing for effectiveness, affordability, and resilience, providing you with the knowledge and skills required to create and maintain a robust container ecosystem.

• Systems Administrators
• DevOps Engineers

• Completed AWS Cloud Practitioner Essentials (or equivalent commercial experience)
• Basic Linux Administration experience
• Basic Network Administration experience
• Basic knowledge of containers and microservices

• Describe the principles of Amazon EKS and Kubernetes and the effects of containers on workflows
• By choosing the appropriate computational resources to support worker nodes, construct an Amazon EKS cluster
• To secure your environment, utilise Kubernetes Role Based Access Control (RBAC) authorization with AWS Identity and Access Management (IAM) authentication
• Install a program on the cluster
• Upload container images to Amazon ECR, then use IAM policies to control access
• Utilise pipelines and automated methods to deploy apps
• Use WeaveFlux to construct a GitOps pipeline
• Utilise AWS X-Ray to gather monitoring data from metrics, logs, and tracing and identify metrics for performance tuning
• Examine situations where bottlenecks call for the best horizontal or vertical scaling strategy
• Analyze the trade-offs between cost, resilience, and efficiency, as well as the effects of prioritising one over the others
• Describe and sketch a comprehensive, iterative strategy for improving your surroundings
• Design for affordability, effectiveness, and resilience
• AWS networking services should be configured to accommodate the cluster
• Describe the support and ease of inter-node communication provided by Amazon Virtual Private Cloud (VPC) for Amazon EKS clusters
• Describe the VPC Container Network Interface’s purpose (CNI)
• Look at the advantages of a service mesh
• Upgrade Amazon EKS, Kubernetes and other technologies