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Machine Learning Engineer
With Amazon EKS, you can run Kubernetes on AWS without having to install, operate, and maintain your own Kubernetes control plane. You will manage container images using Amazon Elastic Container Registry (Amazon ECR) and learn how to automate application deployment. You will deploy applications using continuous integration and delivery (CI/CD) tools. You will learn how to monitor and scale your environment using metrics, logging, tracing, and horizontal and vertical scaling. You will also manage storage for your containerized applications, configure AWS networking services to support the cluster, and learn how to secure your Amazon EKS environmentwith
Day 1
Module 1: Kubernetes Fundamentals
- Benefits of containers
- Container orchestration
- Kubernetes internals
- Pod scheduling
- Kubernetes objects
Module 2: Amazon EKS Fundamentals
- Introduction to Amazon EKS
- Amazon EKS control plane
- Amazon EKS data plane
- Fundamentals of Amazon EKS security
- Two APIs: Kubernetes and Amazon EKS
- Hands-On Lab: Deploying Kubernetes Pods
Module 3: Building and maintaining an Amazon EKS cluster
- Creating an Amazon EKS cluster
- Deploying nodes
- Planning for an upgrade
- Upgrading your Kubernetes version
Module 4: Deploying Applications to Your Amazon EKS Cluster
- Application deployment methods
- Working with Amazon ECR
- Deploying applications with Helm
- Hands-On Lab: Deploying Applications
Day 2
, Module 5: Managing Applications at Scale in Amazon EKS
- Scale to meet demand in Amazon EKS
- Continuous deployment in Amazon EKS
- GitOps and Amazon EKS
- Hands-On Lab: Continuous Deployment and GitOps
- Module 6: Managing Networking in Amazon EKS
- Review: Networking in AWS
- Communicating in Amazon EKS
- Improving pod-level security
- Load Balancing with Services
Module 7: Configuring Observability in Amazon EKS
- Configuring observability in an Amazon EKS cluster
- Collecting metrics
- Managing logs
- Application tracing in Amazon EKS
- Hands-On Lab: Monitoring Amazon EKS
Day 3
, Module 8: Managing Storage in Amazon EKS
- Design patterns for storage
- Persistent storage in Kubernetes
- Persistent storage with AWS storage services
- Managing secrets
- Hands-On Lab: Persistent Storage in Amazon EKS
Module 9: Managing Security in Amazon EKS
- Cloud Security Basics
- Authentication and authorization
- Managing IAM and RBAC
- Managing Pod permissions using RBAC service accounts
- Hands-On Lab: Capstone Exercise
Requirements:
We recommend that attendees of this course have:
- Completed "Introduction to Containers"
- Completed "Amazon Elastic Kubernetes Service (EKS) Primer"
- Completed the "AWS Cloud Practitioner Essentials" course (or has equivalent real-world experience)
- Basic Linux administration experience
- Basic network administration experience
- Basic knowledge of containers and microservices
- Describing the main components of Kubernetes, including the key objects and the core components of the Kubernetes API
- Describing how Amazon EKS manages the Kubernetes control plane and parts of the data plane
- Building and maintaining an Amazon EKS cluster
- Deploying applications to an Amazon EKS cluster
- Managing applications running in enterprise-scale Amazon EKS clusters
- Configuring efficient, secure communication both within the cluster and with external services
- Configuring observability in an Amazon EKS cluster
- Provisioning storage for applications running on Amazon EKS
- Securing an Amazon EKS cluster
This course includes instructor lecture, presentations, hands-on labs, demonstrations, and group exercises/discussions.
This course is intended for the following job roles:
- Solution Architects
- CloudOps
- DevOps Engineers
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