- Title: Ultimate DevOps Real-World Project Implementation AWS Cloud
- Sub Title: ALL-IN-ONE: DevOps Implementation - Docker, Kubernetes (AWS EKS), Terraform, CI/CD (GitHub Actions, ArgoCD), Helm, OTEL
- Demos: 55+ Hands-On Practical Demonstrations
All course concepts are explained with interactive diagrams (no PowerPoint slides). You can access them at below link
- Visual explanations for every concept
- Architecture flows and component interactions
- Step-by-step process diagrams
Section-21 is a DevOps CICD section which has a dedicated repo for implementing GitOps Pipeline. The below is the link for that GitHub Repository
Section-21: DevOps CICD GitHub Repository: aws-devops-github-actions-ecr-argocd3 →
- Contains GitHub Actions Workflow YAML File
- Contains Retail Store Application Source Code
- Contains other supporting files
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
Module-02: Docker Fundamentals and Essential Commands
- EC2 Docker Setup - Installing Docker on AWS Amazon Linux 2023
- Pull from Docker Hub and Run Containers
- Build Docker Images and Push to DockerHub
- Docker CLI:
pull,run,exec,stop,start,rm,rmi,logs,inspect - Container lifecycle management
- Image registry operations
- Docker CLI:
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
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
Module-05: Advanced Docker Builds
- Docker BuildKit and
buildxCLI - Building multi-platform images (AMD64, ARM64)
- Multi-stage builds for production optimization
Module-06: Infrastructure as Code Fundamentals
- Terraform Tools Installation (AWS CLI, Terraform, kubectl)
- Terraform Foundation - Providers, Resources, Variables, Outputs
- Build Production VPC with Public/Private Subnets
- VPC with tfvars - Variable Management
- Remote Backend with S3 and DynamoDB State Locking
- VPC with Remote Backend - Production Setup
- VPC Terraform Module - Creating Reusable Infrastructure
- Key Concepts: State management, variable precedence, data sources, modules
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
Module-08: Kubernetes Core Concepts
- Kubernetes Pods - Creating and Managing
- Kubernetes Deployments - Declarative Updates
- Kubernetes Services - ClusterIP
- Kubernetes ConfigMaps - Environment Variables and Configuration
- Kubernetes StatefulSets - Stateful Applications
- Additional Topics: Labels, selectors, annotations, liveness probes, readiness probes, resource requests/limits
Module-09: Secrets Management
- Kubernetes Secrets Basics
- EKS Pod Identity Agent Setup
- AWS Secrets Manager Driver Installation
- AWS Secrets Manager Catalog Service Integration
- External Secrets Operator
- Secrets CSI Driver
- Mounting secrets as files and environment variables
Module-10: Storage and Databases
- AWS EBS CSI Driver Installation
- EBS CSI Integration with Catalog Service
- AWS RDS MySQL Production Database Integration
- PersistentVolumes (PV) and PersistentVolumeClaims (PVC)
- StorageClasses and dynamic provisioning
- StatefulSets with persistent storage
Module-11: Load Balancing and Ingress
- AWS Load Balancer Controller Installation
- Kubernetes Ingress with HTTP
- Kubernetes Ingress with HTTPS/SSL
- Application Load Balancer (ALB) configuration
- SSL/TLS termination with AWS Certificate Manager
- Health checks and target group configuration
Module-12: Kubernetes Application Management
- Helm Basics - Installation and Fundamentals
- Helm Custom Values - Customization and Overrides
- Helm Chart Exploration - Understanding Chart Structure
- Helm Package and Publish - Creating and Publishing Charts
- Helm Retail Store Deployment - Complete Application
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)
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 (Carts Service NoSQL 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 + PostgreSQL/RDS)
- Checkout Service (Node.js + Redis + SQS)
- End-to-end integration and testing
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
Module-16: Production DNS Setup
- Retail Store application with custom domains
- SSL certificate automation with ACM
- Production DNS management
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
Module-18: Horizontal Pod Autoscaler
- Metrics Server installation
- CPU-based and memory-based autoscaling
- HPA + Karpenter integration (HPA scales pods, Karpenter scales nodes)
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
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
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
- Docker installation, commands, and lifecycle management
- Dockerfile instructions and multi-stage builds
- Docker Compose for multi-container applications
- Docker BuildKit and multi-platform images
- Container security and best practices
- Terraform fundamentals (providers, resources, variables, outputs)
- State management (local and remote with S3/DynamoDB)
- Terraform modules for reusability
- AWS VPC architecture
- EKS cluster provisioning
- EKS Add-Ons management
- AWS services automation (RDS, ElastiCache, DynamoDB, SQS)
- Kubernetes core concepts (Pods, Deployments, Services)
- ConfigMaps and Secrets management
- Persistent Volumes and StatefulSets
- Ingress controllers and load balancing
- RBAC, namespaces, and resource requests and limits
- Liveness and readiness probes
- Helm charts structure and templating
- Values files and overrides
- Chart dependencies and hooks
- Packaging, versioning, and publishing
- Managing complex applications
- Karpenter: Pod-driven node autoscaling, On-Demand/Spot provisioning, node consolidation, spot interruption handling
- HPA: CPU/memory-based pod autoscaling, custom metrics
- Combined HPA + Karpenter strategy
- AWS Distro for OpenTelemetry (ADOT)
- Distributed tracing with AWS X-Ray
- Logs aggregation with CloudWatch
- Metrics with Amazon Managed Prometheus
- Dashboards with Amazon Managed Grafana
- Auto-instrumentation for Java and Node.js
- GitHub Actions for continuous integration
- Docker image building and multi-arch support
- Amazon ECR integration
- OIDC authentication
- ArgoCD for GitOps-based deployment
- Automated rollouts and rollbacks
- Amazon EKS, VPC, Load Balancer Controller
- RDS (MySQL), ElastiCache (Redis), DynamoDB, SQS
- Secrets Manager, X-Ray, CloudWatch
- Amazon Managed Prometheus, Amazon Managed Grafana
- ECR, Route53, Certificate Manager
- 5-microservice e-commerce application
- Multi-language (Java Spring Boot, Node.js, Go)
- Service-to-service communication
- Database integration (MySQL, DynamoDB, Redis)
- Message queuing with SQS
- Security: RBAC, Secrets Management, IMDSv2
- Cost Optimization: Spot instances (70% savings), node consolidation
- High Availability: Multi-AZ, PodDisruptionBudgets
- Monitoring and alerting
- GitOps workflows
This comprehensive AWS DevOps course teaches 20 core competencies through 88 hands-on skills spanning Docker, Kubernetes, Terraform, CI/CD, observability, and production-ready practices.
Choose your view:
- 📋 Quick Overview - 20 core competencies (2-min read)
- 📚 Detailed Curriculum - 88 hands-on skills (complete breakdown)
🐳 Docker & Containerization (3 competencies)
- 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
- Orchestrate multi-container applications with Docker Compose for local development and testing environments
☸️ Kubernetes on AWS EKS (4 competencies)
- Deploy and manage Kubernetes applications on AWS EKS with Ingress, Load Balancers, SSL/TLS, and External DNS automation
- Master all 5 Kubernetes Service types: ClusterIP, NodePort, LoadBalancer, ExternalName, and Headless Services
- Deploy stateful applications with StatefulSets, persistent volumes, and AWS EBS CSI driver for production databases
- Configure resource requests, limits, and quotas for optimal pod scheduling and production cluster management
🏗️ Terraform Infrastructure as Code (1 competency)
- Automate AWS infrastructure with Terraform: VPC, EKS clusters, RDS, ElastiCache, DynamoDB, and remote state management
📦 Helm Package Manager (1 competency)
- Package and deploy complex microservices using Helm charts with templating, versioning, and environment-specific configs
⚡ Autoscaling & Cost Optimization (4 competencies)
- Implement Karpenter autoscaling for 70% cost savings using Spot instances with zero-downtime interruption handling
- Handle AWS Spot interruptions gracefully with EventBridge, SQS, and PodDisruptionBudgets for zero-downtime production
- Configure Horizontal Pod Autoscaler (HPA) with Metrics Server for CPU and memory-based autoscaling in production
- Optimize AWS costs with Spot instances, right-sizing, consolidated billing, and infrastructure cost analysis
🔍 Observability with OpenTelemetry (2 competencies)
- Master observability with OpenTelemetry, AWS X-Ray tracing, CloudWatch logs, Prometheus metrics, and Grafana dashboards
- Implement auto-instrumentation for Java Spring Boot and Node.js microservices with OpenTelemetry collectors
🚀 CI/CD & GitOps (2 competencies)
- Build complete CI/CD pipelines with GitHub Actions and ArgoCD for automated Docker builds and GitOps deployments
- Master GitOps workflows with ArgoCD auto-sync, self-healing, and rollback strategies for reliable deployments
🏪 Real-World Microservices Project (1 competency)
- Deploy real retail store with 5 microservices integrated with AWS RDS, ElastiCache, DynamoDB, and SQS message queues
🔒 Security & Troubleshooting (2 competencies)
- Implement production security with Kubernetes RBAC, AWS Secrets Manager, IAM roles, and IMDSv2 for EC2 instances
- Learn production troubleshooting for Kubernetes pods, EKS nodes, Terraform state issues, and AWS service integration
🐳 Docker & Containerization (8 Skills)
- You will learn Docker fundamentals with installation, essential commands, and container lifecycle management.
- You will learn to build custom Docker images using Dockerfiles with all instructions (FROM, COPY, ADD, RUN, CMD, ENTRYPOINT, HEALTHCHECK, USER).
- You will learn multi-stage Docker builds for creating optimized, production-ready images.
- You will learn Docker Compose to orchestrate multi-container applications like real microservices systems.
- You will learn Docker networking, volumes, health checks, and how services communicate.
- You will learn to build multi-platform Docker images (AMD64, ARM64) using Docker BuildKit.
- You will learn to push images to Docker Hub and Amazon ECR registries.
- You will learn Docker troubleshooting and debugging techniques.
🏗️ Terraform Infrastructure as Code (10 Skills)
- You will master Terraform fundamentals including providers, resources, variables, outputs, and data sources.
- You will learn to build production-grade AWS VPC with public/private subnets, NAT Gateway, and proper routing.
- You will learn Terraform state management with remote state on S3 and state locking with DynamoDB.
- You will learn to create reusable Terraform modules for infrastructure components.
- You will learn to provision complete AWS EKS clusters using Terraform with all IAM roles and permissions.
- You will learn to manage EKS Add-Ons (EBS CSI, External DNS, Pod Identity Agent and more) with Terraform.
- You will learn to automate AWS managed services (RDS, ElastiCache, DynamoDB, SQS) with Terraform.
- You will learn Terraform best practices for team collaboration and production environments.
- You will learn variable precedence, tfvars files, and environment management.
- You will learn to use Terraform Remote State Backend for sharing data between multiple terraform projects (VPC to EKS).
☸️ Kubernetes on AWS EKS (14 Skills)
- You will master Kubernetes core concepts: Pods, ReplicaSets, Deployments, and Services (ClusterIP, NodePort, Ingress, External Name, Headless).
- You will learn to manage application configuration with ConfigMaps and Secrets.
- You will learn to deploy stateful applications using StatefulSets with persistent volumes.
- You will learn AWS EBS CSI Driver for dynamic volume provisioning.
- You will learn Kubernetes Ingress with AWS Load Balancer Controller for production routing.
- You will learn SSL/TLS termination with AWS Certificate Manager.
- You will learn External DNS integration for automatic DNS record management in Route53.
- You will learn Kubernetes RBAC, Namespaces, and Resource Quotas.
- You will learn to implement health checks with liveness and readiness probes.
- You will learn to integrate AWS Secrets Manager with Kubernetes using Secrets CSI Driver.
- You will learn EKS Pod Identity Agent for secure AWS service access.
- You will learn Kubernetes labels, selectors, and annotations best practices.
- You will learn resource requests and limits for proper pod scheduling.
- You will learn to read and analyze pod logs.
📦 Helm Package Manager (7 Skills)
- You will learn Helm fundamentals and why it's essential for Kubernetes application management.
- You will learn to modify custom Helm charts with proper templating.
- You will learn Helm values files, overrides, and environment-specific configurations.
- You will learn to deploy complex microservices applications using Helm charts.
- You will learn chart versioning, dependencies, and repository management.
- You will learn to package and publish Helm charts to registries.
- You will learn Helm troubleshooting and rollback strategies.
⚡ Autoscaling - Karpenter (12 Skills)
- You will understand why Karpenter is superior to Cluster Autoscaler for node autoscaling.
- You will learn Karpenter architecture including NodePools and EC2NodeClass.
- You will learn to install and configure Karpenter using Terraform.
- You will learn to create separate NodePools for On-Demand and Spot instances.
- You will learn how Karpenter provisions right-sized nodes based on pod requirements.
- You will master Spot instance usage with Karpenter for 70% cost savings.
- You will learn Spot interruption handling with EventBridge and SQS integration.
- You will learn to implement PodDisruptionBudgets for zero-downtime during Spot interruptions.
- You will learn node consolidation strategies to minimize infrastructure costs.
- You will learn to configure instance type diversity for better spot availability.
- You will understand how to combine Karpenter with HPA for complete autoscaling.
📊 Horizontal Pod Autoscaler (4 Skills)
- You will learn to implement CPU-based and memory-based pod autoscaling with HPA.
- You will learn to install and configure Metrics Server for HPA.
- You will learn how HPA and Karpenter work together (HPA scales pods, Karpenter scales nodes).
- You will learn to create memory pressure on apps and observe autoscaling behavior in real-time.
🔍 Observability with OpenTelemetry (9 Skills)
- You will learn OpenTelemetry fundamentals and AWS Distro for OpenTelemetry (ADOT) architecture.
- You will learn to implement distributed tracing with AWS X-Ray for microservices using ADOT Collector.
- You will learn auto-instrumentation for Java Spring Boot applications.
- You will learn auto-instrumentation for Node.js applications.
- You will learn to collect and analyze application logs with CloudWatch using ADOT collector.
- You will learn to implement metrics collection with Amazon Managed Prometheus (AMP).
- You will learn to create custom dashboards with Amazon Managed Grafana (AMG).
- You will learn trace sampling and filtering to optimize costs (achieve 85% cost reduction).
- You will learn OTEL Collector configuration and pipeline management.
🚀 CI/CD with GitHub Actions and ArgoCD (9 Skills)
- You will learn GitHub Actions fundamentals including workflows, triggers, and jobs.
- You will learn to build Docker images with GitHub Actions and multi-architecture support.
- You will learn to push images to Amazon ECR securely using OIDC authentication (no access keys needed).
- You will learn semantic versioning with Git tags for automated releases.
- You will learn ArgoCD installation and GitOps principles.
- You will learn to create ArgoCD applications with Helm chart integration.
- You will learn to implement auto-sync and self-healing for GitOps workflows.
- You will learn complete CI/CD pipeline: Code → Build → Deploy → Monitor.
- You will learn rollback strategies and deployment best practices.
🏪 Real-World Microservices Application (7 Skills)
- You will deploy a complete production-grade retail store with 5 microservices.
- You will learn to integrate microservices with AWS managed services (RDS, ElastiCache, DynamoDB, SQS).
- You will learn service-to-service communication patterns in Kubernetes.
- You will learn to handle different programming languages in the same cluster (Java, Node.js).
- You will learn production database management with AWS RDS for MySQL.
- You will learn caching strategies with Redis/ElastiCache.
- You will learn asynchronous processing with message queues (SQS).
🔒 Production Best Practices (8 Skills)
- You will learn cost optimization strategies achieving 70% savings with Spot instances.
- You will learn security best practices including RBAC, IMDSv2, and secrets management.
- You will learn high availability patterns with multi-AZ deployments.
- You will learn to implement PodDisruptionBudgets for zero-downtime operations.
- You will learn infrastructure as code best practices with Terraform.
- You will learn GitOps workflows for reliable production deployments.
- You will learn cost analysis and optimization techniques for AWS.
- You will learn troubleshooting strategies for Kubernetes and AWS production issues.
- Production-First Approach: Every concept includes real-world production patterns, not just theory
- Multi-Language Support: Learn to deploy both Java Spring Boot and Node.js applications
- Cost Optimization Focus: Achieve 70% savings with Spot instances and right-sizing strategies
- Complete Microservices Project: 5-service retail store with AWS integrations (RDS, ElastiCache, DynamoDB, SQS)
- Modern DevOps Stack: Latest tools (Karpenter, OpenTelemetry, ArgoCD) replacing legacy approaches
- Zero-Downtime Patterns: PodDisruptionBudgets, graceful Spot interruption handling, and HA configurations
- AWS Account: Active AWS account with permissions to create resources (EKS, VPC, RDS, EC2, etc.). Free tier works for initial modules.
- Computer: System capable of running SSH and web browsers (any OS: Windows, macOS, Linux). We'll use EC2 for Docker demos, so no need for Docker Desktop locally.
- Basic Command Line: Familiarity with terminal/command prompt and basic Linux commands.
- Text Editor: Any code editor (VS Code recommended) for editing configuration files.
- Internet Connection: Stable connection for AWS console access and downloading tools.
- Basic Programming: Understanding of basic programming concepts helps with microservices code, but not required.
- AWS Basics: Familiarity with core AWS concepts (EC2, VPC, IAM) is helpful but we cover what's needed.
- Version Control: Basic Git knowledge beneficial for CI/CD section.
- Networking Fundamentals: Understanding of IP addresses, subnets, and ports enhances learning.
- Prior Docker Experience: We start from Docker installation and build to advanced concepts.
- Prior Kubernetes Experience: We cover Kubernetes fundamentals before advanced topics.
- Prior Terraform Experience: We begin with Terraform basics and gradually advance.
- DevOps Experience: Course designed to teach DevOps from the ground up.
- Certifications: No AWS or Kubernetes certifications required.
- AWS CLI
- Terraform
- kubectl
- Helm
- Docker (on EC2, not locally)
- Various VS Code extensions
- Some AWS services used are not in free tier
- We optimize for cost throughout and provide cleanup instructions
- Estimated cost: $20-$50 if you complete entire course and clean up resources after each section
- Pro tip: Use
t3.largeinstances (cheaper) and always clean up when not actively learning
- Course Duration: 55+ practical demos
- Recommended: 2-3 demos per day at your own pace
- Completion Time: 3-4 weeks with consistent practice
- All demos include step-by-step instructions you can follow anytime
- DevOps Engineers wanting to master modern tools (Docker, Kubernetes, Terraform, CI/CD) on AWS
- Software Developers looking to understand containerization and cloud-native development
- System Administrators transitioning to DevOps and cloud infrastructure
- Cloud Engineers seeking hands-on AWS EKS and production deployment experience
- Solutions Architects designing scalable microservices architectures
- Students & Graduates preparing for DevOps careers with practical skills
- IT Professionals upskilling in Docker, Kubernetes, Terraform, and CI/CD
- Engineering Managers understanding modern DevOps workflows and tools
- Build production-ready Kubernetes clusters on AWS from scratch
- Master Infrastructure as Code with Terraform
- Implement cost-effective autoscaling (70% savings with Spot instances)
- Set up complete CI/CD pipelines with GitOps (GitHub Actions + ArgoCD)
- Deploy and manage microservices at scale
- Implement comprehensive observability (OpenTelemetry, X-Ray, Grafana)
- Learn production best practices, not toy examples
- Optimize AWS costs while maintaining high availability
- Complete beginners with zero technical background (start with basic AWS/Linux courses)
- Those seeking only theoretical knowledge without hands-on practice
- People unwilling to invest minimal AWS costs for learning
- Those looking for "quick certification shortcuts"
- ✅ Real Production Project: Complete retail store with 5 microservices, not simplified examples
- ✅ 55+ Hands-On Demos: Every concept includes practical implementation
- ✅ Production-Grade: Best practices throughout, no shortcuts or "hello world" demos
- ✅ Cost-Conscious: Teaches 70% savings with Spot instances and cost optimization
- ✅ Comprehensive: Entire DevOps lifecycle from infrastructure to monitoring
- ✅ Modern Tools: Latest approaches (Karpenter, OpenTelemetry, GitOps, OIDC)
- ✅ Step-by-Step: Clear instructions, architecture diagrams, troubleshooting tips
- ✅ Real Career Skills: Learn what's actually used in production at top companies
- Main Repository: devops-real-world-project-implementation-on-aws
- Important: Please FORK this repository to follow along and make your own changes during the course
- ✅ 55+ Hands-On Practical Demos - Step-by-step implementations
- ✅ Real-World Project - Production-grade retail store microservices
- ✅ Architecture Diagrams - Visual explanations for every concept
- ✅ Complete Documentation - Detailed README files for each demo
- ✅ Code Repository - All Terraform, Kubernetes, Docker files included
- ✅ Cost Optimization - Strategies to minimize AWS spending
- ✅ Troubleshooting Guides - Common issues and solutions
- ✅ Production Best Practices - Enterprise-grade patterns
- ✅ Friendly Support - Active Q&A section
- ✅ 30-Day Money-Back Guarantee - No questions asked (Udemy policy)
Ready to master DevOps on AWS? Enroll now! 🚀
![@github-actions[bot]](https://avatars.githubusercontent.com/in/15368?s=64&v=4){kind=small}