Kurz: Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) - for APN partners

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Audience This course is intended for:

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

Lektoři kurzu

Lektoři z firmy: DataScript s.r.o.

[Kurz] Program kurzu (obsah přednášky/semináře/rekvalifikace/studia) ...

Goals In this course, you will lea> how to:

• Review and examine containers, 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 by creating an Amazon EKS service role for your cluster
• Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy.
• Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux.
• Collect monitoring data through metrics, logs, 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 impact for tuning one over the other. Describe and
  * In this course, you will lea> how to:
  • Review and examine containers, 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 by creating an Amazon EKS service role for your cluster
  • Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy.
  • Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux.
  • Collect monitoring data through metrics, logs, 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 impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency.
  • Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh.
  • Upgrade your Kubernetes, Amazon EKS, and third party tools.
  
  Course Outline
  Day 1 Module 0 : Course Introduction
  • Course preparation activities and agenda
  Module 1 : Container Fundamentals
  • Best practices for building applications
  • Container fundamentals
  • Components of a container
  Module 2 : Kubernetes Fundamentals
  • Container orchestration
  • Kubernetes objects
  • Kubernetes internals
  • Preparing for Lab 1: Deploying Kubernetes Pods
  Module 3 : Amazon EKS Fundamentals
  • Introduction to Amazon EKS
  • Amazon EKS control plane
  • Amazon EKS data plane
  • Fundamentals of Amazon EKS security
  • Amazon EKS API
  Module 4 : Building an Amazon EKS Cluster
  • Configuring your environment
  • Creating an Amazon EKS cluster
  • Demo: Configuring and deploying clusters in the AWS Management Console
  • Working with eksctl
  • Preparing for Lab 2: Building an Amazon EKS Cluster
  Day 2 Module 5 : Deploying Applications to Your Amazon EKS Cluster
  • Configuring Amazon Elastic Container Registry (Amazon ECR)
  • Demo: Configuring Amazon ECR
  • Deploying applications with Helm
  • Demo: Deploying applications with Helm
  • Continuous deployment in Amazon EKS
  • GitOps and Amazon EKS
  • Preparing for Lab 3: Deploying App
  Module 6 : Configuring Observability in Amazon EKS
  • Configuring observability in an Amazon EKS cluster
  • Collecting metrics
  • Using metrics for automatic scaling
  • Managing logs
  • Application tracing in Amazon EKS
  • Gaining and

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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