Master Amazon EKS with hands-on labs: Deploy, scale, secure, and monitor production-grade Kubernetes workloads using AWS
What you will 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
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- Dive deep into the fundamental EKS architecture, understanding its profound integration with core AWS services like VPC, IAM, and EC2 for a solid cloud-native foundation.
- Achieve expert-level proficiency in advanced kubectl operations, enabling swift and precise cluster administration, debugging, and resource manipulation.
- Implement robust GitOps methodologies for declarative EKS cluster and application deployments, ensuring consistency, auditability, and automated reconciliation from source control.
- Design and build highly resilient EKS clusters across multiple AWS Availability Zones, guaranteeing maximum uptime and fault tolerance for your most critical workloads.
- Master Kubernetes networking within the AWS VPC, covering the Amazon VPC CNI plugin and advanced network policies for secure, optimized inter-pod communication.
- Safeguard sensitive application data and configurations by integrating EKS with AWS Secrets Manager and Parameter Store, establishing robust secrets management practices.
- Develop comprehensive strategies for EKS cluster upgrades and efficient lifecycle management of worker node groups, minimizing operational disruption and ensuring stability.
- Seamlessly integrate EKS into modern CI/CD pipelines, automating container image builds, testing, and continuous deployment for accelerated, reliable software delivery.
- Apply FinOps principles to your EKS infrastructure, gaining the skills to analyze, monitor, and optimize cloud spend without compromising performance or reliability.
- Master proactive troubleshooting and debugging techniques for complex EKS environments, interpreting logs, metrics, and events to swiftly resolve operational challenges.
- PROS:
- Production-Ready Focus: Emphasizes building and managing EKS clusters for real-world, high-stakes environments, not just theoretical understanding.
- Comprehensive AWS Integration: Deep dives into how EKS leverages and integrates with a wide array of AWS services, crucial for a holistic cloud-native strategy.
- Advanced Scaling Strategies: Covers cutting-edge autoscaling tools and techniques, preparing you for dynamic and cost-efficient workload management.
- DevOps Best Practices: Incorporates modern DevOps principles like GitOps, observability, and CI/CD, aligning with industry standards.
- Troubleshooting Mastery: Equips participants with the critical skills to diagnose and resolve complex issues in production EKS environments.
- CONS:
- Steep Learning Curve for Beginners: Assumes a foundational understanding of both AWS and Kubernetes, potentially challenging for complete newcomers to either technology.
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