Overview
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
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
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)
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 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
Gourav Shah . 200,000+ Students
Helping DevOps Engineers Build Real-World Skills — One Project at a Time
Hi, I’m Gourav — Founder of School of DevOps™ and creator of the RealOps Career Framework.
With over 17 years of hands-on experience in DevOps, Cloud, and Platform Engineering, I’ve helped thousands of engineers go from confusion to confidence — and land roles they never thought possible.
Why Learn From Me?
* Real-World Projects, Not Just Theory
My courses are built around problems real companies solve every day — so you’re not just watching, you’re building.
* Designed for Career Impact
Whether you're transitioning into DevOps, going deeper with Kubernetes, or leveling up into MLOps/AIOps, my courses follow a clear roadmap toward mastery.
* Project-Based Learning Meets Gamification
I don’t believe in passive learning. My students build live systems, earn XP, showcase projects, and grow within a community of builders.
* Join 150,000+ Learners Across 15+ Courses
I’ve designed industry-ready bootcamps and Weekend Project Series that are beginner-friendly, yet deep enough for working professionals.
What I Teach
- DevOps Foundations + CI/CD
- Kubernetes, GitOps, Platform Engineering
- Cloud Infra with Terraform & AWS
- MLOps, AIOps & AI-Augmented Ops
- Agentic Workflows & AI for Infra Automation
Be Part of Something Bigger
After you finish this course, don’t stop there.
Join the RealOps Builders Network — our free Discord + Substack community for DevOps professionals who want to:
✅ Build projects every week
✅ Follow curated roadmaps
✅ Earn XP for real-world skills
✅ Get peer feedback and visibility
Join the network using the link in my bio — Let’s build your career, together.