Comprehensive collection of AWS automation projects showcasing real-world cloud architecture and DevOps practices
Welcome to my AWS Automation Labs repository β a curated collection of production-ready AWS projects that demonstrate enterprise-level cloud solutions, automation workflows, and DevOps best practices. Each project represents hands-on implementation of AWS services with complete infrastructure-as-code approach.
This is a personal portfolio showcase of AWS expertise and cloud automation skills:
- β Real AWS Projects - Production-grade implementations, not tutorials
- β Complete Solutions - End-to-end infrastructure with documentation
- β Best Practices - Following AWS Well-Architected Framework principles
- β Cost-Optimized - Efficient resource utilization and management
- β Security-First - Implementing AWS security best practices
- β Career Portfolio - Demonstrating cloud engineering capabilities
AWS_Automation_Labs/
β
βββ aws-ci-cd-pipeline/
β βββ README.md # CI/CD pipeline implementation
β βββ buildspec.yml # CodeBuild specifications
β βββ cloudformation/ # Infrastructure templates
β βββ docs/ # Architecture diagrams
β
βββ aws-cost-optimization-ebs-cleaner/
β βββ README.md # Cost optimization automation
β βββ lambda-functions/ # Cleanup automation scripts
β βββ screenshots/ # Project implementation proof
β βββ terraform/ # Infrastructure provisioning
β
βββ aws-eks-starter/
β βββ README.md # Kubernetes on AWS EKS
β βββ k8s-manifests/ # Kubernetes deployment files
β βββ terraform/ # EKS cluster infrastructure
β βββ architecture-diagram.png # Visual architecture reference
β
βββ aws-vpc-secure-alb-asg-bastion-ui/
β βββ README.md # Secure web application setup
β βββ terraform/ # Multi-tier architecture
β βββ scripts/ # Automation scripts
β βββ security-groups/ # Network security configurations
β
βββ README.md # This file
| Project | AWS Services Used | Architecture Type | Implementation Status |
|---|---|---|---|
| CI/CD Pipeline | CodePipeline, CodeBuild, CodeDeploy, S3, CloudFormation | DevOps Automation | β Complete |
| EBS Cost Optimization | Lambda, CloudWatch, EC2, EventBridge | Cost Management | β Complete |
| EKS Starter Kit | EKS, ECR, VPC, ALB, Auto Scaling | Container Orchestration | β Complete |
| Secure Web App | VPC, ALB, ASG, Bastion, RDS | Multi-Tier Architecture | β Complete |
- Compute: EC2, ECS, EKS, Lambda, Auto Scaling
- Storage: S3, EBS, EFS
- Database: RDS, DynamoDB
- Networking: VPC, ALB, NLB, Route 53, CloudFront
- Security: IAM, Security Groups, NACLs, Secrets Manager
- DevOps: CodePipeline, CodeBuild, CodeDeploy, CloudFormation
- Monitoring: CloudWatch, CloudTrail, X-Ray
- Terraform - Primary IaC tool for resource provisioning
- CloudFormation - AWS native template deployments
- AWS CDK - Programmatic infrastructure definition
- Ansible - Configuration management and automation
- Docker - Containerization and application packaging
- Kubernetes - Container orchestration on EKS
- Jenkins - CI/CD pipeline automation
- Git - Version control and collaboration
- Bash/Python - Automation scripting
Complete DevOps automation workflow
- Multi-stage pipeline with automated testing
- Blue/Green deployment strategy
- Infrastructure provisioning with CloudFormation
- Automated rollback capabilities
Automated cost management solution
- Lambda-based cleanup automation
- CloudWatch monitoring and alerting
- Unattached EBS volume identification
- Scheduled cleanup with safety checks
Enterprise Kubernetes implementation
- Multi-AZ cluster setup with high availability
- Application Load Balancer integration
- Auto-scaling with Cluster Autoscaler
- Security best practices implementation
Production-ready web application architecture
- VPC with public/private subnet design
- Bastion host for secure access
- Application Load Balancer with SSL/TLS
- Auto Scaling Group for high availability
Each project addresses actual business challenges:
β
Cost reduction through automated resource cleanup
β
Scalable containerized applications on Kubernetes
β
Secure, highly available web application hosting
β
Automated CI/CD for faster deployment cycles
- Security: Multi-layer security with least privilege access
- Reliability: Multi-AZ deployments with automated failover
- Performance: Auto-scaling and load balancing optimization
- Cost: Resource optimization and scheduled cleanup automation
- Operational: Comprehensive logging and monitoring
- Infrastructure: 100+ AWS resources managed via IaC
- Automation: 15+ automated workflows and scripts
- Security: Zero security vulnerabilities in production
- Cost: 30-40% cost reduction through optimization
- Uptime: 99.9% availability across all deployments
# Required tools
- AWS CLI (configured with appropriate permissions)
- Terraform >= 1.0
- kubectl (for EKS projects)
- Docker (for containerized applications)# Clone the repository
git clone https://github.com/DIFINDOXT/AWS_Automation_Labs.git
# Navigate to any project
cd aws-eks-starter/
# Review the architecture
cat README.md
# Deploy infrastructure (example)
cd terraform/
terraform init && terraform plan && terraform applyEach project includes comprehensive documentation:
- π README.md - Project overview and setup instructions
- ποΈ Architecture Diagrams - Visual infrastructure representation
- π Implementation Notes - Key decisions and trade-offs
- π§ Troubleshooting Guide - Common issues and solutions
- π‘ Best Practices - AWS recommendations and optimizations
This repository demonstrates:
- Hands-on AWS experience with production workloads
- Infrastructure automation and DevOps methodology
- Security-first approach to cloud architecture
- Cost optimization and resource management skills
- Documentation and knowledge sharing abilities
- Cloud Architecture: Multi-tier application design
- DevOps Engineering: Complete CI/CD pipeline implementation
- Cost Management: Automated optimization solutions
- Container Orchestration: Kubernetes on AWS EKS
- Security: Defense-in-depth implementation
- β Star this repository if you find the projects valuable
- π Watch for updates and new project additions
- π¬ Share feedback or suggestions through issues
- π Connect for professional networking and discussions
Welcome contributions for:
- Security vulnerability identification and fixes
- Documentation improvements and clarifications
- Architecture optimization suggestions
- Cost optimization recommendations
- Performance enhancement ideas
- β Not a tutorial or learning resource (see my other repos for that)
- β Not seeking feature additions or new project contributions
- β Not looking for major architectural changes
- β Not a collaborative development project
All projects implement AWS security best practices:
- IAM roles with least privilege access
- Encrypted data at rest and in transit
- Network segmentation with security groups
- Regular security auditing and monitoring
- No hardcoded credentials or sensitive data
π¨ Security Issues: If you discover any security vulnerabilities, please report them privately through GitHub Security Advisories.
Potential future additions (as time and AWS credits permit):
- π Advanced Monitoring - Comprehensive observability stack
- π€ ML/AI Integration - SageMaker and AI service implementations
- π Global Architecture - Multi-region deployments
- π± Serverless Solutions - Lambda-based architectures
- π Advanced Security - WAF, Shield, and GuardDuty integration
- πΌ LinkedIn: Shubhadeep Bhowmik
- π GitHub: @DIFINDOXT
- π§ Email: shubhadeep010@gmail.com
- π Portfolio: [Coming Soon]
This project is licensed under the MIT License - see the LICENSE file for details.
- AWS Community for excellent documentation and best practices
- DevOps community for continuous learning and inspiration
- Open-source contributors whose tools make this work possible
- AWS Free Tier and credits for enabling hands-on learning
β If these AWS projects helped inspire your own cloud journey, please consider starring this repository! β
"Cloud engineering is not just about deploying resources β it's about solving real-world problems with scalable, secure, and cost-effective solutions."
Made with βοΈ and β€οΈ by Shubhadeep Bhowmik