Ultimate EKS Bootcamp: From Zero to Production-Ready AWS K8S

Learn Amazon EKS the right way — from fundamentals to advanced autoscaling and monitoring.This course is designed for DevOps Engineers, Cloud Architects, and Kubernetes practitioners who want to confidently run production workloads on Amazon Elastic Kubernetes Service (EKS).We’ll start with a practical, lab-driven approach — no endless theory. You’ll begin by setting up your AWS and Kubernetes environment, then progress through deploying workloads, managing networking with ALB ingress, enabling persistent storage, and securing access with IAM Roles for Service Accounts (IRSA).From there, we’ll tackle scaling strategies — EKS Cluster Autoscaler, Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and advanced solutions like Karpenter for just-in-time node provisioning, and KEDA for event-driven scaling.Finally, we’ll cover EKS observability with logging, metrics, and dashboards so you can keep your clusters healthy and cost-efficient.By the end of this bootcamp, you’ll have a production-ready EKS skillset — ready to build, scale, and monitor Kubernetes workloads on AWS.What You’ll LearnSet up and configure Amazon EKS clusters from scratchDeploy applications to EKS using kubectl and manifestsConfigure Ingress with AWS ALB Ingress ControllerAttach persistent EBS volumes for stateful workloadsSecure workloads using IAM Roles for Service Accounts (IRSA)Implement EKS Cluster Autoscaler for node scalingApply Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) for workload scalingUse Karpenter for next-generation cluster scalingImplement KEDA for event-driven autoscaling scenariosMonitor and troubleshoot EKS clusters using Prometheus, Grafana, and CloudWatchOptimize cost and performance for Kubernetes workloads on AWS