Ultimate EKS Bootcamp: From Zero to Production-Ready AWS K8S
Published 8/2025
Duration: 3h 59m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.30 GB
Genre: eLearning | Language: English
Published 8/2025
Duration: 3h 59m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.30 GB
Genre: eLearning | Language: English
Master Amazon EKS with hands-on labs: Deploy, scale, secure, and monitor production-grade Kubernetes workloads using 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
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)
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 apractical, 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 tacklescaling strategies— EKS Cluster Autoscaler, Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and advanced solutions likeKarpenterfor just-in-time node provisioning, andKEDAfor event-driven scaling.
Finally, we’ll coverEKS observabilitywith logging, metrics, and dashboards so you can keep your clusters healthy and cost-efficient.
By the end of this bootcamp, you’ll have aproduction-ready EKS skillset— ready to build, scale, and monitor Kubernetes workloads on AWS.
What You’ll Learn
Set up and configureAmazon EKS clustersfrom scratch
Deploy applications to EKS usingkubectland manifests
ConfigureIngress with AWS ALB Ingress Controller
Attachpersistent EBS volumesfor stateful workloads
Secure workloads usingIAM Roles for Service Accounts (IRSA)
ImplementEKS Cluster Autoscalerfor node scaling
ApplyHorizontal Pod Autoscaler (HPA)andVertical Pod Autoscaler (VPA)for workload scaling
UseKarpenterfor next-generation cluster scaling
ImplementKEDAfor event-driven autoscaling scenarios
Monitor and troubleshoot EKS clusters usingPrometheus, Grafana, and CloudWatch
Optimize cost and performance for Kubernetes workloads on AWS
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
More Info