Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

current course dates can be found at the bottom of this page … company training available on request!

Course description

Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS.

You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment.

Course objectives

In this course, you will learn to:

• Describe Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows.
• Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes.
• Secure your environment with AWS Identity and Access Management (IAM) authentication and Kubernetes Role Based Access Control (RBAC) authorization.
• Deploy an application on the cluster. Publish container images to Amazon ECR and secure access via IAM policy.
• Deploy applications using automated tools and pipelines. Create a GitOps pipeline using WeaveFlux.
• Collect monitoring data through metrics, logs, and tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling.
• Assess the tradeoffs between efficiency, resiliency, and cost and the impact of tuning for one over the others. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency.
• Configure AWS networking services to support the cluster. Describe how Amazon Virtual Private Cloud (VPC) supports Amazon EKS clusters and simplifies inter-node communications. Describe the function of the VPC Container Network Interface (CNI). Review the benefits of a service mesh.
• Upgrade your Kubernetes, Amazon EKS, and third party tools.

Intended audience

This course is intended for:

• people who provide container orchestration management in the AWS Cloud including:
  • DevOps engineers
  • Systems administrators

Prerequisites

We recommend that attendees of this course have:

• Completed Amazon Elastic Kubernetes Service (EKS) Primer
• Completed AWS Cloud Practitioner Essentials (or equivalent real-world experience)
• Basic Linux administration experience
• Basic network administration experience
• Basic knowledge of containers and microservices

Activities

This course includes:

• Training with instructor
• Practical exercises

Course duration / Price

• 3 days
• € 2,685.00 (excl. tax) per person (DE)
• CHF 2,500.00 (excl. tax) per person (CH)

Course outline

Day 1:

• Module 0: Course Introduction
• Module 1: Kubernetes Fundamentals
• Hands-On Lab 1: Deploying Kubernetes Pods
• Module 2: Amazon EKS Fundamentals
• Module 3: Building an Amazon EKS Cluster
• Hands-On Lab 2: Building an Amazon EKS cluster

Day 2:

• Module 4: Deploying Applications to Your Amazon EKS Cluster
• Hands-On Lab 3: Deploying applications
• Module 5: Architecting on Amazon EKS Part 1: Observe and Optimize
• Hands-On Lab 4: Monitoring Amazon EKS
• Module 6: Architecting on Amazon EKS Part 2: Balancing Efficiency, Resiliency, and Cost

Day 3:

• Module 7: Managing Networking in Amazon EKS
• Hands-On Lab 5: Exploring Amazon EKS Communication
• Module 8: Securing Amazon EKS Clusters
• Hands-On Lab 6: Securing Amazon EKS
• Module 9: Managing Upgrades in Amazon EKS

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.