What You'll Learn
- Set up and configure Amazon EKS clusters from scratch
- Deploy applications to EKS using kubectl and manifests
- Configure Ingress with AWS ALB Ingress Controller
- Attach persistent EBS volumes for 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-generation cluster scaling
- Implement KEDA for event-driven autoscaling scenarios
- Monitor and troubleshoot EKS clusters using Prometheus, Grafana, and CloudWatch
- Optimize cost and performance for Kubernetes workloads on AWS
Requirements
- Basic understanding of Kubernetes concepts (pods, deployments, services)
- AWS account with administrative access
- Familiarity with basic AWS services like EC2, IAM, and VPC
- Command-line experience (bash or similar)
Who This Course is For
- DevOps Engineers and Platform Engineers running workloads on AWS
- Kubernetes administrators looking to specialize in AWS EKS
- Cloud Engineers wanting hands-on experience with AWS-native Kubernetes scaling and monitoring
- Anyone preparing for AWS DevOps or Kubernetes certifications with a focus on EKS
Your Instructor
Gourav J. Shah
Premium Instructor | 200,000+ Students | DevOps/AIOps/MLOps
4.4 Instructor Rating
5,208 Reviews
212,226 Students
27 Courses
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