Master Amazon EKS with hands-on labs: Deploy, scale, secure, and monitor production-grade Kubernetes workloads using AWS
What you will learn
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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
Add-On Information:
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- EKS Architecture Deep Dive: Gain a profound understanding of the EKS control plane, worker node integration, and core AWS service interactions (VPC, IAM, EC2) for robust Kubernetes environments.
- Advanced Networking Mastery: Explore sophisticated EKS networking with AWS VPC CNI, granular network policies, and service mesh concepts for optimized microservice communication and security.
- Designing for High Availability: Learn to engineer resilient EKS clusters through multi-AZ deployments, Pod Disruption Budgets (PDBs), and comprehensive disaster recovery strategies.
- Enhanced Security Postures: Implement robust security beyond IRSA, covering Pod Security Standards, secure container image lifecycle management, secrets with AWS Secrets Manager, and strong network segmentation.
- GitOps for Declarative Ops: Embrace modern GitOps principles to manage EKS configurations and application deployments declaratively, ensuring consistency, auditability, and automated cluster state reconciliation.
- Comprehensive Observability: Develop advanced monitoring dashboards, centralize logging with Fluentd/Fluent Bit, and master alert management for deep insights into cluster health and application performance.
- Strategic Cost Optimization: Master cost-saving techniques like leveraging EC2 Spot Instances, integrating AWS Fargate for serverless Kubernetes, and applying AWS Savings Plans for EKS workloads.
- Systematic Troubleshooting: Acquire practical skills for diagnosing and resolving complex EKS issues, interpreting control plane logs, and utilizing various AWS and Kubernetes tools for efficient debugging.
- AWS Ecosystem Integration: Seamlessly connect EKS workloads with a wider array of AWS services, including Systems Manager, S3, and AWS Developer Tools for robust CI/CD pipelines.
- Container Image Best Practices: Understand secure, optimized container image building, effective management in Amazon ECR, and implementing automated vulnerability scanning for a secure supply chain.
- PROS:
- Comprehensive Hands-on: Practical, lab-intensive sessions ensure real-world deployment and management skills for EKS on AWS.
- Production-Ready Skills: Master advanced capabilities to deploy, secure, scale, and manage mission-critical Kubernetes workloads in production.
- Cutting-Edge Technologies: Learn modern tools like Karpenter and KEDA, staying updated with the latest in Kubernetes and cloud-native scaling.
- Expert-Led Instruction: Gain insights and best practices from seasoned DevOps professionals with extensive enterprise EKS experience.
- Holistic AWS Integration: Deeply understand EKS interaction with the broader AWS ecosystem, empowering fully integrated cloud-native solutions.
- CONS:
- Assumes Basic Foundations: While comprehensive, prior familiarity with core AWS services and fundamental Kubernetes concepts is recommended for optimal pacing.
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