EKS Training Overview
This Introduction to Amazon EKS (Elastic Kubernetes Service) training teaches attendees to leverage this managed service to automatically launch EKS Kubernetes clusters, secure EKS clusters, deploy the Fargate Launch Type, and much more.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Set up a Kubernetes client environment
- Launch EKS Kubernetes clusters
- Deploy the Kubernetes Dashboard and Helm
- Test auto-scaling applications
- Secure your EKS cluster
- Assign pods to specific nodes
Prerequisites
All students must have taken Accelebrate's half-day EKS for Beginners workshop, or have the equivalent knowledge.
Outline
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Introduction
Setting up a K8s Client Environment on AWS’ Cloud9 IDE
- ssh keys, secret/access keys, kubectl, and eksctl setup
Launching EKS Kubernetes Clusters using eksctl
Deploying the Kubernetes Dashboard
- Sample microservices using an AWS elastic Load Balancer
Deploying Helm v3
- Adding Chart Repositories to the Helm setup
Testing Auto-Scaling Applications
Role-Based Access Control
- Creating IAM roles for service accounts
Securing EKS cluster for Production use with Network Policies
Assigning Pods to Specific Nodes and Setting Affinity
Spotting Instances to On-Demand EKS Cluster Setup
Creating Stateful Sets
Deploying the Fargate Launch Type (previous use was EC2 launch type)
Encrypting and Managing Secrets
- AWS Key Management System and Keymaps
Conclusion
Training Materials
All EKS training students receive comprehensive courseware.
Software Requirements
Each attendee must have their own AWS account. In the first session, we can assist in the setup if needed. For other courses in the series, you will use your same AWS account.
