🆕 Coupons inserted today: 366

📆 Coupons Expired today and Deleted: 1317

📈 Total Coupons available: 8289

📦 Total removed coupons from our Site until now : 1317

100% OFF IT Certifications ★ 4.6 1,909 students 5.5 hours

Ultimate EKS Bootcamp by School of Devops

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

Description


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


Total Students 1909
Duration 5.5 hours
Language English (US)
Original Price ₹1,999
Sale Price 0
Number of lectures 58
Number of quizzes 0
Total Reviews 4
Global Rating 4.625
Instructor Name Gourav J. Shah

Course Insights (for Students)

Actionable, non-generic pointers before you enroll

👍

Student Satisfaction

86% positive recent sentiment

📈

Momentum

Steady interest

⏱️

Time & Value

  • Est. time: 5.5 hours
  • Practical value: 7/10

🧭

Roadmap Fit

  • Beginner → Beginner → Advanced

Key Takeaways for Learners

  • Hands-on practice
  • Real-world examples
  • Project-based learning

Course Review Summary

Signals distilled from the latest Udemy reviews

What learners praise

Clear explanations and helpful examples.

Watch-outs

No consistent issues reported.

🎯

Difficulty

Beginner

👥

Best suited for

New learners starting from zero

Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!

Do not forget to Rate the Course on Udemy!!