Free Coupon Code Ultimate EKS Bootcamp by School of Devops 100% OFF

Udemy Free coupon code for Ultimate EKS Bootcamp by School of Devops course taught by Gourav J. Shah , School of Devops, which has 3,983 students and is rated 4.5 out of 0 votes. This course is about 5 hour(s) in English and was updated on October 31, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Build EKS Cluster with eksctl. Manage Node Groups, Ingress with LBC, Storage with CSI, Cluster Autoscaler, HPA, VPA etc.

To get this coupon, please scroll down

Platform: Udemy

Instructor: Gourav J. Shah , School of Devops

Language: English

Duration: 05:00:00

Student(s): 3,983

Rate 4.5 Of 5 From 0 Votes

Expired on November 01, 2025

Last Update: 2025/10/31

Promoted by: Anonymous

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