Ultimate DevOps Real-World Project Implementation AWS Cloud | Udemy

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
– AWS Load Balancer Controller
– Secret Store CSI Driver
– AWS Secrets and Configuration Provider (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)
– Amazon DynamoDB (Cards Service No SQL Database)
– Amazon RDS for 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 (NO OR LESS TEXT – EVERYTHING VISUAL)
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)