ALL-IN-ONE: DevOps Implementation - Docker, Kubernetes (AWS EKS), Terraform, CICD (GitHub Actions, ArgoCD), Helm, OTEL
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
Requirements
AWS Account: Active AWS account with permissions to create resources (EKS, VPC, RDS, EC2, etc.). Free tier works for initial modules only.
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.
Helpful (But Not Mandatory): Basic Programming: Understanding of basic programming concepts helps with microservices code, but not required.
Helpful (But Not Mandatory): AWS Basics: Familiarity with core AWS concepts (EC2, VPC, IAM) is helpful but we cover what's needed.
Helpful (But Not Mandatory): Version Control: Basic Git knowledge beneficial for CI/CD section.
Helpful (But Not Mandatory): Networking Fundamentals: Understanding of IP addresses, subnets, and ports enhances learning.
What You DON'T Need: Prior Docker Experience: We start from Docker installation and build to advanced concepts.
What You DON'T Need: Prior Kubernetes Experience: We cover Kubernetes fundamentals before advanced topics.
What You DON'T Need: Prior Terraform Experience: We begin with Terraform basics and gradually advance.
What You DON'T Need: DevOps Experience: Course designed to teach DevOps from the ground up.
What You DON'T Need: No AWS or Kubernetes certifications required.
Description
COURSE MODULES - 55+ HANDS-ON DEMOSSECTION 1: PROJECT OVERVIEWModule-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 patternsSECTION 2: DOCKER COMMANDS (3 DEMOS)Module-02: Docker Fundamentals and Essential Commands1. EC2 Docker Setup - Installing Docker on AWS Amazon Linux 20232. Pull from Docker Hub and Run Containers3. Build Docker Images and Push to DockerHub- Docker CLI: pull, run, exec, stop, start, rm, rmi, logs, inspect- Container lifecycle management- Image registry operationsSECTION 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 strategiesSECTION 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 aliasesSECTION 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 optimizationSECTION 6: TERRAFORM BASICS (7 DEMOS)Module-06: Infrastructure as Code Fundamentals1. Terraform Tools Installation (AWS CLI, Terraform, kubectl)2. Terraform Foundation - Providers, Resources, Variables, Outputs3. Build Production VPC with Public/Private Subnets4. VPC with tfvars - Variable Management5. Remote Backend with S3 and DynamoDB State Locking6. VPC with Remote Backend - Production Setup7. VPC Terraform Module - Creating Reusable Infrastructure- Key Concepts: State management, variable precedence, data sources, modulesSECTION 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 authorizationSECTION 8: KUBERNETES FOUNDATION (5 DEMOS)Module-08: Kubernetes Core Concepts1. Kubernetes Pods - Creating and Managing2. Kubernetes Deployments - Declarative Updates3. Kubernetes Services - ClusterIP4. Kubernetes ConfigMaps - Environment Variables and Configuration5. Kubernetes StatefulSets - Stateful Applications- Additional Topics: Labels, selectors, annotations, liveness probes, readiness probes, resource requests/limitsSECTION 9: KUBERNETES SECRETS (4 DEMOS)Module-09: Secrets Management1. Kubernetes Secrets Basics2. EKS Pod Identity Agent Setup3. AWS Secrets Manager Driver Installation4. AWS Secrets Manager Catalog Service Integration- External Secrets Operator- Secrets CSI Driver- Mounting secrets as files and environment variablesSECTION 10: KUBERNETES PERSISTENT STORAGE (3 DEMOS)Module-10: Storage and Databases1. AWS EBS CSI Driver Installation2. EBS CSI Integration with Catalog Service3. AWS RDS MySQL Production Database Integration- PersistentVolumes (PV) and PersistentVolumeClaims (PVC)- StorageClasses and dynamic provisioning- StatefulSets with persistent storageSECTION 11: KUBERNETES INGRESS (3 DEMOS)Module-11: Load Balancing and Ingress1. AWS Load Balancer Controller Installation2. Kubernetes Ingress with HTTP3. Kubernetes Ingress with HTTPS/SSL- Application Load Balancer (ALB) configuration- SSL/TLS termination with AWS Certificate Manager- Health checks and target group configurationSECTION 12: HELM PACKAGE MANAGER (5 DEMOS)Module-12: Kubernetes Application Management1. Helm Basics - Installation and Fundamentals2. Helm Custom Values - Customization and Overrides3. Helm Chart Exploration - Understanding Chart Structure4. Helm Package and Publish - Creating and Publishing Charts5. Helm Retail Store Deployment - Complete ApplicationSECTION 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 Deployment1. 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 services2. 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 testingSECTION 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 ControllerSECTION 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 managementSECTION 17: AUTOSCALING - KARPENTER (4 DEMOS)Module-17: Pod-Driven Node Autoscaling1. Karpenter Installation with Terraform- Architecture deep dive- IAM roles and permissions- EventBridge and SQS for spot interruption handling2. Karpenter On-Demand Instances- NodePools and EC2NodeClass configuration- Right-sizing nodes for workloads- Node consolidation3. Karpenter Spot Instances- 70% cost savings with Spot- Spot NodePool configuration- Instance diversification strategy4. 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 strategySECTION 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 managementSECTION 20: OBSERVABILITY - OPENTELEMETRY (4 DEMOS)"Module-20: Production Observability Stack1. EKS Environment with ADOT (AWS Distro for OpenTelemetry)- ADOT Operator installation- OTEL Collector architecture2. 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 analysis3. OpenTelemetry Logs with CloudWatch- Log aggregation and analysis- CloudWatch Insights queries4. OpenTelemetry Metrics with AMP & AMG- Amazon Managed Prometheus setup- Amazon Managed Grafana setup- Custom dashboards creation- Application metrics and business KPIsSECTION 21: DEVOPS CI/CD PIPELINE (4 DEMOS)Module-21: Complete CI/CD with GitOps1. CI with GitHub Actions and AWS ECR- GitHub Actions workflow fundamentals- Building Docker images- OIDC authentication (No access keys!)- Semantic versioning with Git tags2. ArgoCD Installation- Installing ArgoCD on EKS- ArgoCD architecture and components- GitOps principles3. CD with ArgoCD and Helm- Creating ArgoCD applications- Helm integration- Auto-sync and self-heal4. Complete CI/CD Flow Testing- Code commit → Build → Push to ECR → Update Helm values → ArgoCD deploys- End-to-end demonstration- Rollback strategiesWHY THIS COURSE STANDS OUT1. Production-First Approach: Every concept taught with real-world patterns, not just theory2. Cost Optimization Built-In: Learn to save 70% on AWS costs with Spot instances3. Modern Tools: Karpenter, OpenTelemetry, ArgoCD (not outdated tech)4. Multi-Language Support: Java, Node.js, and Go microservices5. Complete Project: 5-service retail store, not isolated demos6. 55+ Hands-On Demos: Learn by doing, not watching slides7. Zero-Downtime Patterns: PodDisruptionBudgets, Spot interruption handling8. Monthly and Quarterly Updates included as AWS/K8s evolveEACH OF MY COURSES COMES WITH1. Hands-On Practical Demos - Step-by-step implementations2. Real-World Project - Production-grade retail store microservices3. Architecture Diagrams - Visual explanations for every concept (NO OR LESS TEXT - EVERYTHING VISUAL)4. Complete Documentation - Detailed GitHub Repository with README files for each demo5. Code Repository - All Terraform, Kubernetes, Docker files included in course GitHub Repository6. Troubleshooting Guides - Common issues and solutions7. Production Best Practices - Enterprise-grade patterns8. Friendly Support - Active Q&A section9. No questions asked 30-Day Money-Back Guarantee by Udemy (Udemy policy)
Who this course is for
DevOps Engineers wanting to master modern tools (Docker, Kubernetes, Terraform, CI/CD) on AWS
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
Ideal If You Want To: Build production-ready Kubernetes clusters on AWS from scratch
Ideal If You Want To: Master Infrastructure as Code with Terraform
Ideal If You Want To: Implement cost-effective autoscaling (70% savings with Spot instances)
Ideal If You Want To: Set up complete CI/CD pipelines with GitOps (GitHub Actions + ArgoCD)
Ideal If You Want To: Deploy and manage microservices at scale
Ideal If You Want To: Implement comprehensive observability (OpenTelemetry, X-Ray, Grafana)
Ideal If You Want To: Learn production best practices, not toy examples
Ideal If You Want To: Optimize AWS costs while maintaining high availability
Not Suitable For: Complete beginners with zero technical background (start with basic AWS/Linux courses)
Not Suitable For: Those seeking only theoretical knowledge without hands-on practice


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