What you'll learn:
- Master complete AWS DevOps with Docker, Kubernetes EKS, Terraform, and production-ready microservices deployment
- Build production Docker images with multi-stage builds, push to ECR, and create multi-platform images for AMD64 and ARM64
- Automate AWS infrastructure with Terraform: VPC, EKS clusters, RDS, ElastiCache, DynamoDB, and remote state management
- Deploy and manage Kubernetes applications on AWS EKS with Ingress, Load Balancers, SSL/TLS, and External DNS automation
- Implement Karpenter autoscaling for 70% cost savings using Spot instances with zero-downtime interruption handling
- Build complete CI/CD pipelines with GitHub Actions and ArgoCD for automated Docker builds and GitOps deployments
- Master observability with OpenTelemetry, AWS X-Ray tracing, CloudWatch logs, Prometheus metrics, and Grafana dashboards
- Handle AWS Spot interruptions gracefully with EventBridge, SQS, and PodDisruptionBudgets for zero-downtime production
- Package and deploy complex microservices using Helm charts with templating, versioning, and environment-specific configs
- Deploy real retail store with 5 microservices integrated with AWS RDS, ElastiCache, DynamoDB, and SQS message queues
- Implement production security with Kubernetes RBAC, AWS Secrets Manager, IAM roles, and IMDSv2 for EC2 instances
- Configure Horizontal Pod Autoscaler (HPA) with Metrics Server for CPU and memory-based autoscaling in production
- Master GitOps workflows with ArgoCD auto-sync, self-healing, and rollback strategies for reliable deployments
- Learn production troubleshooting for Kubernetes pods, EKS nodes, Terraform state issues, and AWS service integration
- Orchestrate multi-container applications with Docker Compose for local development and testing environments
- Optimize AWS costs with Spot instances, right-sizing, consolidated billing, and infrastructure cost analysis
- Deploy stateful applications with StatefulSets, persistent volumes, and AWS EBS CSI driver for production databases
- Master all 5 Kubernetes Service types: ClusterIP, NodePort, LoadBalancer, ExternalName, and Headless Services
- Implement auto-instrumentation for Java Spring Boot and Node.js microservices with OpenTelemetry collectors
- Configure resource requests and limits for optimal pod scheduling and production cluster management
COURSE MODULES - 55+ HANDS-ON DEMOS
SECTION 1: PROJECT OVERVIEW
Module-01: Complete Retail Store Microservices Architecture
- Full-stack e-commerce application with 5 microservices
- Multi-language stack (Java Spring Boot, Node.js, Go)
- Production-grade architecture patterns
SECTION 2: DOCKER COMMANDS (3 DEMOS)
Module-02: Docker Fundamentals and Essential Commands
1. EC2 Docker Setup - Installing Docker on AWS Amazon Linux 2023
2. Pull from Docker Hub and Run Containers
3. Build Docker Images and Push to DockerHub
- Docker CLI: pull, run, exec, stop, start, rm, rmi, logs, inspect
- Container lifecycle management
- Image registry operations
SECTION 3: DOCKERFILE MASTERY (1 COMPREHENSIVE DEMO)
Module-03: Building Custom Docker Images
- Dockerfile Instructions: FROM, LABEL, COPY, ADD, ARG, ENV, RUN, EXPOSE, CMD, ENTRYPOINT, WORKDIR, HEALTHCHECK, USER
- Security best practices
- Multi-stage builds for optimization
- Image layer caching strategies
SECTION 4: DOCKER COMPOSE (1 COMPREHENSIVE DEMO)
Module-04: Multi-Container Application Orchestration
- Docker Compose basics with real microservices
- Named volumes, networks, and health checks
- Scaling services with DEPLOY
- Startup order with dependencies and conditions
- Profiles, links, and aliases
SECTION 5: DOCKER BUILDKIT (1 COMPREHENSIVE DEMO)
Module-05: Advanced Docker Builds
- Docker BuildKit and buildx CLI
- Building multi-platform images (AMD64, ARM64)
- Multi-stage builds for production optimization
SECTION 6: TERRAFORM BASICS (7 DEMOS)
Module-06: Infrastructure as Code Fundamentals
1. Terraform Tools Installation (AWS CLI, Terraform, kubectl)
2. Terraform Foundation - Providers, Resources, Variables, Outputs
3. Build Production VPC with Public/Private Subnets
4. VPC with tfvars - Variable Management
5. Remote Backend with S3 and DynamoDB State Locking
6. VPC with Remote Backend - Production Setup
7. VPC Terraform Module - Creating Reusable Infrastructure
- Key Concepts: State management, variable precedence, data sources, modules
SECTION 7: TERRAFORM EKS CLUSTER (1 COMPREHENSIVE DEMO)
Module-07: Complete AWS EKS Cluster with Terraform
- EKS cluster provisioning
- EKS node groups configuration
- IAM roles for EKS cluster and worker nodes
- kubectl and kubeconfig configuration
- Cluster authentication and authorization
SECTION 8: KUBERNETES FOUNDATION (5 DEMOS)
Module-08: Kubernetes Core Concepts
1. Kubernetes Pods - Creating and Managing
2. Kubernetes Deployments - Declarative Updates
3. Kubernetes Services - ClusterIP
4. Kubernetes ConfigMaps - Environment Variables and Configuration
5. Kubernetes StatefulSets - Stateful Applications
- Additional Topics: Labels, selectors, annotations, liveness probes, readiness probes, resource requests/limits
SECTION 9: KUBERNETES SECRETS (4 DEMOS)
Module-09: Secrets Management
1. Kubernetes Secrets Basics
2. EKS Pod Identity Agent Setup
3. AWS Secrets Manager Driver Installation
4. AWS Secrets Manager Catalog Service Integration
- External Secrets Operator
- Secrets CSI Driver
- Mounting secrets as files and environment variables
SECTION 10: KUBERNETES PERSISTENT STORAGE (3 DEMOS)
Module-10: Storage and Databases
1. AWS EBS CSI Driver Installation
2. EBS CSI Integration with Catalog Service
3. AWS RDS MySQL Production Database Integration
- PersistentVolumes (PV) and PersistentVolumeClaims (PVC)
- StorageClasses and dynamic provisioning
- StatefulSets with persistent storage
SECTION 11: KUBERNETES INGRESS (3 DEMOS)
Module-11: Load Balancing and Ingress
1. AWS Load Balancer Controller Installation
2. Kubernetes Ingress with HTTP
3. Kubernetes Ingress with HTTPS/SSL
- Application Load Balancer (ALB) configuration
- SSL/TLS termination with AWS Certificate Manager
- Health checks and target group configuration
SECTION 12: HELM PACKAGE MANAGER (5 DEMOS)
Module-12: Kubernetes Application Management
1. Helm Basics - Installation and Fundamentals
2. Helm Custom Values - Customization and Overrides
3. Helm Chart Exploration - Understanding Chart Structure
4. Helm Package and Publish - Creating and Publishing Charts
5. Helm Retail Store Deployment - Complete Application
SECTION 13: TERRAFORM EKS CLUSTER WITH ADD-ONS (1 COMPREHENSIVE DEMO)
Module-13: Production-Ready EKS with Add-Ons
- AWS Load Balancer Controller Add-On
- EBS CSI Driver Add-On
- Pod Identity Agent Add-On
- AWSLoad Balancer Controller
- Secret Store CSIDriver
- AWSSecrets and ConfigurationProvider (ASCP)
SECTION 14: RETAIL STORE MICROSERVICES - AWS DATA PLANE (2 DEMOS)
Module-14: Real-World Microservices Deployment
1. Retail Store AWS Data Plane Setup
- AWS RDS for MySQL (Catalog Service Relational database)
- Amazon ElastiCache for Redis (Checkout Service cache)
- Amazon SQS for Messaging (Orders Service Message broker)
- AmazonDynamoDB (Cards Service NoSQLDatabase)
- AmazonRDSfor PostgreSQL (Orders Service Relational Database)
- Terraform automation for AWS services
2. Microservices with AWS Data Plane Integration
- UI Service (Spring Boot)
- Carts Service (Spring Boot + DynamoDB)
- Catalog Service (Go + Amazon MySQL/RDS)
- Orders Service (Spring Boot + MySQL/RDS)
- Checkout Service (Node.js + Redis + SQS)
- End-to-end integration and testing
SECTION 15: TERRAFORM EKS WITH EXTERNAL DNS (1 COMPREHENSIVE DEMO)
Module-15: Automated DNS Management
- External DNS Add-On installation with Terraform
- Automatic DNS record creation in Route53
- Custom domain configuration
- Integration with AWS Load Balancer Controller
SECTION 16: RETAIL STORE WITH EXTERNAL DNS (1 DEMO)
Module-16: Production DNS Setup
- Retail Store application with custom domains
- SSL certificate automation with ACM
- Production DNS management
SECTION 17: AUTOSCALING - KARPENTER (4 DEMOS)
Module-17: Pod-Driven Node Autoscaling
1. Karpenter Installation with Terraform
- Architecture deep dive
- IAM roles and permissions
- EventBridge and SQS for spot interruption handling
2. Karpenter On-Demand Instances
- NodePools and EC2NodeClass configuration
- Right-sizing nodes for workloads
- Node consolidation
3. Karpenter Spot Instances
- 70% cost savings with Spot
- Spot NodePool configuration
- Instance diversification strategy
4. Karpenter Spot Interruption Handling
- Understanding 2-minute Spot interruption warning
- EventBridge → SQS → Karpenter flow
- Graceful pod eviction and rescheduling
- PodDisruptionBudgets for zero downtime
- Production-ready Spot strategy
SECTION 18: AUTOSCALING - HPA (1 COMPREHENSIVE DEMO)
Module-18: Horizontal Pod Autoscaler
- Metrics Server installation
- CPU-based and memory-based autoscaling
- HPA + Karpenter integration (HPA scales pods, Karpenter scales nodes)
SECTION 19: HELM RETAIL STORE WITH AWS DATA PLANE (1 COMPREHENSIVE DEMO)
Module-19: Complete Helm Deployment
- Deploying full retail store with Helm
- Separate charts for each microservice
- Managing AWS data plane services with Helm
- Environment-specific values
- Chart versioning and release management
SECTION 20: OBSERVABILITY - OPENTELEMETRY (4 DEMOS)"
Module-20: Production Observability Stack
1. EKS Environment with ADOT (AWS Distro for OpenTelemetry)
- ADOT Operator installation
- OTEL Collector architecture
2. OpenTelemetry Traces with AWS X-Ray
- Auto-instrumentation for Java Spring Boot
- Auto-instrumentation for Node.js
- Trace sampling and filtering
- Cost optimization (85% reduction filtering health checks)
- Service maps and trace analysis
3. OpenTelemetry Logs with CloudWatch
- Log aggregation and analysis
- CloudWatch Insights queries
4. OpenTelemetry Metrics with AMP & AMG
- Amazon Managed Prometheus setup
- Amazon Managed Grafana setup
- Custom dashboards creation
- Application metrics and business KPIs
SECTION 21: DEVOPS CI/CD PIPELINE (4 DEMOS)
Module-21: Complete CI/CD with GitOps
1. CI with GitHub Actions and AWS ECR
- GitHub Actions workflow fundamentals
- Building Docker images
- OIDC authentication (No access keys!)
- Semantic versioning with Git tags
2. ArgoCD Installation
- Installing ArgoCD on EKS
- ArgoCD architecture and components
- GitOps principles
3. CD with ArgoCD and Helm
- Creating ArgoCD applications
- Helm integration
- Auto-sync and self-heal
4. Complete CI/CD Flow Testing
- Code commit → Build → Push to ECR → Update Helm values → ArgoCD deploys
- End-to-end demonstration
- Rollback strategies
WHY THIS COURSE STANDS OUT
1. Production-First Approach: Every concept taught with real-world patterns, not just theory
2. Cost Optimization Built-In: Learn to save 70% on AWS costs with Spot instances
3. Modern Tools: Karpenter, OpenTelemetry, ArgoCD (not outdated tech)
4. Multi-Language Support: Java, Node.js, and Go microservices
5. Complete Project: 5-service retail store, not isolated demos
6. 55+ Hands-On Demos: Learn by doing, not watching slides
7. Zero-Downtime Patterns: PodDisruptionBudgets, Spot interruption handling
8. Monthly and Quarterly Updates included as AWS/K8s evolve
EACH OF MY COURSES COMES WITH
1. Hands-On Practical Demos - Step-by-step implementations
2. Real-World Project - Production-grade retail store microservices
3. Architecture Diagrams - Visual explanations for every concept (NOORLESSTEXT - EVERYTHINGVISUAL)
4. Complete Documentation - Detailed GitHub Repository with README files for each demo
5. Code Repository - All Terraform, Kubernetes, Docker files included in course GitHub Repository
6. Troubleshooting Guides - Common issues and solutions
7. Production Best Practices - Enterprise-grade patterns
8. Friendly Support - Active Q&A section
9. No questions asked 30-Day Money-Back Guarantee by Udemy (Udemy policy)
