DevSecOps-Bootcamp 🚀

A comprehensive 6-week DevSecOps bootcamp with step-by-step instructions, hands-on projects, and real-world simulations. This bootcamp blends foundational learning with chaos engineering, gamification, and practical implementation to prepare intermediate AWS DevOps and Cloud Engineers for real-world challenges.

📚 Complete Learning Path Index

🎯 Prerequisites - Essential Knowledge Before Starting

• Prerequisites Overview - Complete prerequisite learning path
  • Cloud Computing Basics - AWS and cloud fundamentals
  • Linux & Command Line - Essential terminal skills
  • Networking Fundamentals - Network concepts and protocols
  • Programming & Scripting - Coding and automation basics
  • DevOps Fundamentals - DevOps principles and practices
  • Security Basics - Security concepts and best practices
  • Data & AI/ML Concepts - Data science and AI fundamentals
  • Testing & Quality Assurance - Testing methodologies and tools
  • Tools & Technologies - Essential tools overview

🗓️ Week 1: Core AWS Foundations with Chaos Engineering

Goal: Build AWS basics with controlled chaos to spark engagement and resilience.

Day 1: AWS Basics Refresher

• Duration: 4-5 hours
• Objective: Set up foundational AWS resources and recover from simulated failures
• Tools: AWS Console, AWS CLI
• Activities: VPC creation, EC2 deployment, web server setup, chaos recovery
• Chaos Twist: "Power Outage" - subnet termination and recovery
• Resources: Day 1 Guide

Day 2: Storage and Databases

• Duration: 4-5 hours
• Objective: Deploy S3 and RDS with competitive gamification
• Tools: AWS Console, MySQL Workbench
• Activities: S3 static site, RDS MySQL, database operations
• Gamified Twist: Speed race for fastest deployment
• Resources: Day 2 Guide

Day 3: Networking Deep Dive

• Duration: 4-5 hours
• Objective: Build multi-tier VPC and handle simulated attacks
• Tools: AWS Console
• Activities: Multi-tier VPC, NAT Gateways, route tables
• Chaos Twist: "DDoS" - security group modifications
• Resources: Day 3 Guide

Day 4: Intro to Scripting

• Duration: 4-5 hours
• Objective: Automate EC2 setup with scripted failures
• Tools: AWS CLI, Bash
• Activities: AWS CLI automation, EC2 provisioning scripts
• Chaos Twist: Script failures and debugging
• Resources: Day 4 Guide

Day 5: Mini-Project

• Duration: 5-6 hours
• Objective: Deploy web app with last-minute requirements
• Tools: AWS Console, AWS CLI
• Activities: Web application deployment, S3 integration
• Chaos Twist: "CEO Tweet" - emergency status page
• Resources: Day 5 Guide
  • Project Details
  • Best Practices
  • NodeJS Project
  • PHP Project
  • WordPress CMS Project

Week 1 Resources: Overview | Topics

🗓️ Week 2: Infrastructure as Code and Containers

Goal: Master IaC tools and containerization with competitive challenges.

Day 1: CloudFormation Basics

• Duration: 4-5 hours
• Objective: Write templates, deploy EC2 + RDS, fix random errors
• Tools: AWS CloudFormation, AWS Console
• Activities: Template creation, stack deployment, error resolution
• Chaos Twist: Random template errors and fixes
• Resources: Day 1 Guide

Day 2: Terraform Introduction

• Duration: 4-5 hours
• Objective: Rebuild Day 1 stack, race against peers
• Tools: Terraform, AWS CLI
• Activities: Terraform configuration, state management
• Gamified Twist: Speed competition for fastest deployment
• Resources: Day 2 Guide

Day 3: Docker Fundamentals

• Duration: 4-5 hours
• Objective: Build/run containers, solve escape room challenges
• Tools: Docker, Docker Compose
• Activities: Container creation, image management, networking
• Chaos Twist: Container escape room challenges
• Resources: Day 3 Guide

Day 4: Containers on ECS

• Duration: 4-5 hours
• Objective: Deploy to Fargate, scale after traffic spikes
• Tools: AWS ECS, Fargate
• Activities: ECS cluster setup, service deployment, auto-scaling
• Chaos Twist: Traffic spike simulation
• Resources: Day 4 Guide
  • EKS Implementation

Day 5: Mini-Hackathon

• Duration: 5-6 hours
• Objective: IaC + ECS app, recover from Chaos Monkey
• Tools: Terraform, ECS, AWS CLI
• Activities: Complete application deployment, chaos testing
• Chaos Twist: Chaos Monkey attacks
• Resources: Day 5 Guide
  • Project Details
  • JPMC with Kubernetes
  • Top 5 Companies Using Kubernetes

Week 2 Resources: Overview | Topics

🗓️ Week 3: CI/CD and Serverless with Incident Drills

Goal: Master CI/CD pipelines and serverless with real incident scenarios.

Day 1: CI/CD Basics

• Duration: 4-5 hours
• Objective: GitHub Actions pipeline, rollback bad commits
• Tools: GitHub Actions, Git
• Activities: Pipeline creation, automated testing, rollback procedures
• Chaos Twist: Bad commit deployment and recovery
• Resources: Day 1 Guide

Day 2: AWS CodeSuite

• Duration: 4-5 hours
• Objective: CodePipeline for ECS, fix production outages
• Tools: AWS CodePipeline, CodeBuild, CodeDeploy
• Activities: Multi-stage pipeline, ECS deployment
• Chaos Twist: Production outage simulation
• Resources: Day 2 Guide

Day 3: Serverless Foundations

• Duration: 4-5 hours
• Objective: Lambda API, secure from rival "hacks"
• Tools: AWS Lambda, API Gateway
• Activities: Serverless function creation, API development
• Chaos Twist: Security breach simulation
• Resources: Day 3 Guide
  • Pipeline Library
  • Task Manager

Day 4: Pipeline Under Pressure

• Duration: 4-5 hours
• Objective: Multi-stage deploy, add features mid-build
• Tools: Jenkins, GitOps
• Activities: Advanced pipeline configuration, GitOps implementation
• Chaos Twist: Mid-build requirement changes
• Resources: Day 4 Guide
  • Pipeline Library
  • Task Manager GitOps

Day 5: Incident Showdown

• Duration: 5-6 hours
• Objective: Fix cascading failures, write post-mortems
• Tools: Jenkins, AWS CLI
• Activities: Incident response, failure recovery, documentation
• Chaos Twist: Cascading system failures
• Resources: Day 5 Guide
  • Jenkins Master-Slave Automation

Week 3 Resources: Overview | Topics

🗓️ Week 4: Scalability and Monitoring with Chaos

Goal: Build scalable systems with comprehensive monitoring and chaos testing.

Day 1: Load Balancing

• Duration: 4-5 hours
• Objective: ALB setup, tune for traffic surges
• Tools: AWS ALB, EC2, Terraform
• Activities: Load balancer configuration, health checks, traffic distribution
• Chaos Twist: Traffic surge simulation
• Resources: Day 1 Guide
  • Static Website Terraform Jenkins

Day 2: Autoscaling

• Duration: 4-5 hours
• Objective: Add autoscaling, recover terminated instances
• Tools: AWS Auto Scaling, CloudWatch
• Activities: Auto-scaling group configuration, policy management
• Chaos Twist: Instance termination and recovery
• Resources: Day 2 Guide
  • Advanced Topics Project
  • CRM Terraform Jenkins

Day 3: CloudWatch Monitoring

• Duration: 4-5 hours
• Objective: Monitor ECS, solve performance mysteries
• Tools: CloudWatch, X-Ray, ECS
• Activities: Metric collection, alarm configuration, performance analysis
• Chaos Twist: Performance mystery investigation
• Resources: Day 3 Guide
  • Message Encoder Decoder K8s

Day 4: EKS Introduction

• Duration: 4-5 hours
• Objective: Deploy to EKS, heal crashed pods
• Tools: AWS EKS, kubectl
• Activities: EKS cluster setup, pod deployment, troubleshooting
• Chaos Twist: Pod crash simulation
• Resources: Day 4 Guide

Day 5: Resilience Rally

• Duration: 5-6 hours
• Objective: Scalable app, survive chaos tests
• Tools: EKS, Terraform, Jenkins
• Activities: Complete application deployment, chaos engineering
• Chaos Twist: Multi-system failure simulation
• Resources: Day 5 Guide
  • CRM Supply Chain Capstone
  • Capstone Documentation
  • Project Implementation Plan
    • Phase 1
    • Phase 2
    • Phase 3
    • Phase 4
    • Phase 5

Week 4 Resources: Overview | Topics

🗓️ Week 5: Security, Cost, and Troubleshooting

Goal: Master security practices, cost optimization, and advanced troubleshooting.

Day 1: Security Basics

• Duration: 4-5 hours
• Objective: Encrypt S3/RDS, fix exposed buckets
• Tools: AWS KMS, IAM, Security Hub
• Activities: Data encryption, access control, security assessment
• Chaos Twist: Security breach simulation
• Resources: Day 1 Guide

Day 2: Disaster Recovery

• Duration: 4-5 hours
• Objective: Multi-AZ RDS, failover after outages
• Tools: AWS RDS, Route 53, CloudFormation
• Activities: DR strategy implementation, failover testing
• Chaos Twist: Availability zone failure simulation
• Resources: Day 2 Guide

Day 3: Cost Optimization

• Duration: 4-5 hours
• Objective: Cut costs, avoid overspending penalties
• Tools: AWS Cost Explorer, Trusted Advisor
• Activities: Cost analysis, optimization strategies, budget management
• Chaos Twist: Budget constraint challenges
• Resources: Day 3 Guide

Day 4: Advanced Troubleshooting

• Duration: 4-5 hours
• Objective: Debug with X-Ray, solve complex issues
• Tools: AWS X-Ray, CloudWatch Logs, Systems Manager
• Activities: Distributed tracing, log analysis, system diagnostics
• Chaos Twist: Complex failure scenarios
• Resources: Day 4 Guide

Day 5: Security Mini-Project

• Duration: 5-6 hours
• Objective: Secure app with DR, pass peer audit
• Tools: All Week 5 tools
• Activities: Complete secure application, security audit
• Chaos Twist: Peer security review
• Resources: Day 5 Guide

Week 5 Resources: Overview

🗓️ Week 6: Capstone and Real-World Crunch

Goal: Synthesize all learning into a comprehensive capstone project.

Day 1: Capstone Kickoff

• Duration: 7-8 hours
• Objective: Plan microservices, adapt to tool changes
• Tools: Architecture planning, EKS, CI/CD tools
• Activities: Microservices design, tool selection, adaptation
• Chaos Twist: Mid-plan tool swapping
• Resources: Day 1 Guide

Day 2: Build and Automate

• Duration: 7-8 hours
• Objective: CI/CD + EKS, scale for DDoS attacks
• Tools: EKS, GitHub Actions, AWS Shield
• Activities: Platform deployment, automation, scaling
• Chaos Twist: DDoS attack simulation
• Resources: Day 2 Guide

Day 3: Secure and Monitor

• Duration: 7-8 hours
• Objective: Add encryption/alarms, pass penetration tests
• Tools: AWS KMS, CloudWatch, OWASP ZAP
• Activities: Security implementation, monitoring setup, security testing
• Chaos Twist: Penetration testing challenges
• Resources: Day 3 Guide

Day 4: Chaos Crunch

• Duration: 7-8 hours
• Objective: Survive outages/spikes, write runbooks
• Tools: Chaos engineering tools, monitoring systems
• Activities: Chaos testing, incident response, documentation
• Chaos Twist: Multi-system failure simulation
• Resources: Day 4 Guide

Day 5: Production Push

• Duration: 7-8 hours
• Objective: Deploy to production, present to executives
• Tools: All learned tools and techniques
• Activities: Production deployment, presentation, evaluation
• Chaos Twist: Executive review pressure
• Resources: Day 5 Guide

Week 6 Resources: Overview | Plan | Kubernetes Plan | Best Practices

• Capstone Project
• Learning Kubernetes Project

🛠️ Additional Learning Resources

🔐 DevSecOps Tools & Tutorials

• DevSecOps Tools - Comprehensive tooling guide
• DevSecOps Trivy Tutorial - Complete Trivy security scanning guide
  • Part 1-10 Tutorial Series
  • Project Codebase
• DevSecOps Automation - Kubernetes and Istio automation scripts
  • Kubernetes Setup Scripts
  • Istio Bookinfo Deployment
  • Kubernetes Manifests

🚀 AWS DevOps Boilerplates

• AWS DevOps Boilerplates - Production-ready templates
  • CloudFormation, Terraform, Docker, ECS, Lambda, EKS
  • IAM, CloudWatch, Secrets Management
• AWS Testing Boilerplates - Testing frameworks
• AWS Security Testing - Security testing templates
• AWS Cost Audit - Cost optimization tools
• EKS Status Scanner - EKS monitoring tools

🤖 AI & Data Platform Solutions

• Enterprise AI-Data Platform - Comprehensive AI/ML platform guide
  • Foundation & Architecture
    • Foundation Project - Complete enterprise AI-Data platform implementation
  • Data Engineering
  • MLOps
  • Infrastructure & DevOps
  • Security & Compliance
  • Tools & Technologies
  • Implementation Examples
  • Best Practices

🧪 Software Quality Assurance (SQA)

• SQA Knowledge Hub - Comprehensive QA learning resources
  • SQA Manual Testing - Manual testing methodologies
  • SQA Automation Testing - Automated testing frameworks
    • Selenium Learning Project
    • Cypress Learning Project
    • Advanced Concepts
    • Framework Comparison

🏗️ Foundation Project - Enterprise AI-Data Platform

• Foundation Project - Complete production-ready enterprise AI-Data platform
  • Features: FastAPI backend, PostgreSQL database, Redis caching, ML pipeline integration
  • Architecture: Microservices, containerized deployment, monitoring, security
  • Documentation: Project Structure | Deployment Guide
  • Getting Started: Quick Start Guide

📊 AWS DevOps Boilerplates (Root Level)

• S3 Management Scripts - S3 bucket management and cleanup

🎯 Learning Objectives & Outcomes

By Week 6, You Will Be Able To:

• ✅ Design and deploy scalable microservices architectures
• ✅ Implement comprehensive CI/CD pipelines with multiple tools
• ✅ Secure applications using industry best practices
• ✅ Monitor and troubleshoot complex distributed systems
• ✅ Handle real-world incidents and chaos scenarios
• ✅ Optimize costs and implement disaster recovery
• ✅ Present technical solutions to stakeholders
• ✅ Work effectively in DevSecOps teams

Key Skills Developed:

• AWS Services: EC2, S3, RDS, VPC, ECS, EKS, Lambda, CloudWatch
• Infrastructure as Code: Terraform, CloudFormation
• Containerization: Docker, ECS, EKS, Istio
• CI/CD: Jenkins, GitHub Actions, AWS CodeSuite
• Security: IAM, KMS, Security Hub, penetration testing
• Monitoring: CloudWatch, X-Ray, logging, alerting
• Chaos Engineering: Failure simulation, incident response
• Cost Optimization: Budget management, resource optimization

🚀 Getting Started

Prerequisites:

• Basic understanding of cloud computing concepts
• Familiarity with Linux command line
• AWS account (free tier recommended)
• Local development environment setup

Recommended Learning Path:

1. Complete Prerequisites - Review essential concepts and tools
2. Start with Week 1 - Build AWS foundations
3. Progress sequentially through each week
4. Complete all hands-on projects in each day
5. Practice chaos scenarios to build resilience
6. Document your learning and create a portfolio
7. Participate in peer reviews and discussions

Time Commitment:

• Prerequisites: 7-10 hours (essential foundation)
• Per Day: 4-8 hours (depending on week)
• Per Week: 20-40 hours
• Total Bootcamp: 120-240 hours over 6 weeks
• Total Learning Path: 127-250 hours (including prerequisites)

🤝 Support & Community

Learning Resources:

• Daily war rooms and mentor hotlines
• Peer collaboration and code reviews
• Real-world scenario simulations
• Comprehensive documentation and examples

Tools & Technologies:

• All necessary tools provided or guided installation
• Cloud-based development environments available
• Comprehensive boilerplates and templates
• Security testing and monitoring tools

📝 Notes

• Chaos Engineering: Controlled failure simulation to build resilience
• Gamification: Competitive elements to enhance engagement
• Real-World Focus: Practical scenarios and industry best practices
• Hands-On Learning: 60% practical implementation, 40% theory
• Continuous Improvement: Regular updates and community contributions

Prepared by Partha Sarathi Kundu for the DevSecOps Bootcamp project - A comprehensive journey from AWS basics to enterprise DevSecOps mastery.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.