Build and Scale Your Cloud Workloads with Amazon EKS

Enroll in this Free Udemy Course on Amazon EKS and enhance your cloud skills today!

Dive deep into Amazon EKS with this definitive bootcamp designed for aspiring DevOps engineers and cloud architects. From the basics of setup to advanced monitoring, this course offers a hands-on approach, allowing you to deploy your clusters confidently. You will start by configuring your AWS and Kubernetes environment, gaining vital skills needed to manage workloads in production.

Through practical labs, you’ll learn how to deploy workloads, manage networking with ALB Ingress, and secure access with IAM Roles for Service Accounts. As you progress, you’ll explore scaling strategies such as EKS Cluster Autoscaler, Horizontal Pod Autoscaler, and more, ensuring your clusters are efficient and responsive to real-time demands.

The course also covers observability in EKS using logging and monitoring tools like Prometheus and Grafana. By the end of this bootcamp, you will have a solid skill set ready to efficiently build, scale, and monitor Kubernetes workloads on AWS, positioning yourself as a valuable asset in the cloud computing landscape.

What you will learn:

  • Configure and deploy Amazon EKS clusters from scratch
  • Deploy applications in EKS using kubectl and manifests
  • Set up Ingress with the AWS ALB Ingress Controller
  • Attach persistent EBS volumes to stateful workloads
  • Secure workloads using IAM Roles for Service Accounts (IRSA)
  • Implement EKS Cluster Autoscaler for node scaling
  • Apply Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) for workload scaling
  • Use Karpenter for next-gen cluster scaling
  • Implement KEDA for event-driven auto-scaling scenarios
  • Monitor and troubleshoot EKS clusters using Prometheus, Grafana, and CloudWatch
  • Optimize cost and performance of Kubernetes workloads on AWS

Course Content:

  • Sections: 7
  • Lectures: 48
  • Duration: 5h 1m

Requirements:

  • Basic understanding of Kubernetes concepts (pods, deployments, services)
  • AWS account with administrative access
  • Familiarity with basic AWS services like EC2, IAM, and VPC
  • Experience with command line interfaces (bash or similar)

Who is it for?

  • DevOps Engineers and Platform Engineers running workloads on AWS
  • Kubernetes Administrators looking to specialize in AWS EKS
  • Cloud Engineers seeking hands-on experience with Kubernetes scaling and monitoring on AWS
  • Anyone preparing for AWS DevOps or Kubernetes certifications with focus on EKS

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