Chapters 1–40: Core backend concepts (HTTP, databases, authentication, etc.)
Chapters 41–80: Testing, CI/CD, containers, Docker, Kubernetes basics
☁️ Chapters 81–100: Advanced Kubernetes, secrets, GitOps, cost optimization
Chapters 101–120: Advanced deployment strategies, security, performance tuning, observability, real-world patterns
CHAPTERS:
Chapter 1: Introduction to Backend Engineering
Chapter 2: The Internet and Web Basics
Chapter 3: Operating Systems and Networking Essentials
Chapter 4: Choosing a Backend Language
Chapter 5: Version Control (Git & GitHub)
Chapter 6: APIs – REST, GraphQL, gRPC
Chapter 7: Understanding APIs (REST & GraphQL)
Chapter 8: Authentication and Authorization
Chapter 9: Databases
Chapter 10: Caching Strategies
Chapter 11: Message Brokers & Queues
Chapter 12: File Storage & Uploads
Chapter 13: WebSockets & Real-Time Communication
Chapter 14: Background Jobs & Cron
Chapter 15: Authentication & Authorization
Chapter 16: RESTful APIs
Chapter 17: GraphQL
Chapter 18: gRPC
Chapter 19: API Gateways
Chapter 20: Caching
Chapter 21: Web Servers
Chapter 22: Logging & Monitoring
Chapter 23: Rate Limiting & Throttling
Chapter 24: WebSockets
Chapter 25: CI/CD (Continuous Integration / Continuous Deployment)
Chapter 26: Infrastructure as Code (IaC)
Chapter 27: Message Brokers (RabbitMQ, Kafka, etc.)
Chapter 28: Logging & Monitoring
Chapter 29: Caching (Redis, Memcached, CDN, etc.)
Chapter 30: WebSockets and Real-Time Communication
Chapter 31: Testing (Unit, Integration, Load Testing, etc.)
Chapter 32: Deployment, CI/CD & DevOps Basics
Chapter 33: Backend Security
Chapter 34: Backend Design Patterns
Chapter 35: API Rate Limiting & Throttling
Chapter 36: Logging & Monitoring
Chapter 37: Message Brokers (RabbitMQ, Kafka)
Chapter 38: Caching Strategies (Redis, Memcached)
Chapter 39: WebSockets & Real-Time Communication
Chapter 40: GraphQL Basics & Best Practices
Chapter 41: Serverless Backend (AWS Lambda, Firebase, etc.)
Chapter 42: Containers, Docker & Orchestration Basics
Chapter 43: CI/CD for Backend Developers (GitHub Actions, Jenkins)
Chapter 44: Infrastructure as Code (IaC) with Terraform
Chapter 45: Monitoring & Observability (Prometheus, Grafana, ELK Stack)
Chapter 46: Security in Backend Systems
Chapter 47: Load Balancing & Reverse Proxy (NGINX, HAProxy)
Chapter 48: Caching Strategies & Tools (Redis, CDN, Memcached)
Chapter 49: Message Queues & Streaming (RabbitMQ, Kafka)
Chapter 50: Logging, Monitoring & Observability
Chapter 51: Rate Limiting & Throttling
Chapter 52: Caching & Content Delivery Networks (CDNs)
Chapter 53: Message Queues & Asynchronous Communication
Chapter 54: RESTful APIs Design & Best Practices
Chapter 55: GraphQL – Advanced API Design
Chapter 56: WebSockets – Full Duplex Communication
Chapter 57: API Rate Limiting & Throttling
Chapter 58: Caching Strategies
Chapter 59: API Authentication (JWT, OAuth2, API Keys)
Chapter 60: Rate Limiting & Throttling
Chapter 61: Logging and Monitoring
Chapter 62: API Documentation (Swagger/OpenAPI)
Chapter 63: Testing (Unit, Integration, E2E)
Chapter 64: Deployment and CI/CD (Jenkins, GitHub Actions)
Chapter 65: Docker and Containerization
Chapter 66: Docker Volumes and Data Persistence
Chapter 67: Kubernetes Basics
Chapter 68: Kubernetes Advanced Topics
Chapter 69: Kubernetes Networking
Chapter 70: Monitoring and Logging in Kubernetes
Chapter 71: CI/CD in Kubernetes
Chapter 72: Secrets and Config Management in Kubernetes
Chapter 73: Service Mesh Overview (Istio, Linkerd)
Chapter 74: Kubernetes Patterns (InitContainers, Sidecars, Ambassadors)
Chapter 75: Kubernetes Operators & Custom Controllers
Chapter 76: Helm Package Manager
Chapter 77: Helm Chart Repositories & CI/CD Integration
Chapter 78: Stateful Applications in Kubernetes
Chapter 79: Running Databases on Kubernetes
Chapter 80: Database Backup and Restore in Kubernetes
Chapter 81: Observability in Production Systems
Chapter 82: Logging and Monitoring Tools Comparison
Chapter 83: Chaos Engineering and Resilience Testing
Chapter 84: GitOps and Declarative Delivery with Argo CD
Chapter 85: Infrastructure as Code with Terraform and Kubernetes
Chapter 86: Kubernetes GitOps with Flux
Chapter 87: Cloud-Native Storage Solutions for Kubernetes
Chapter 88: Kubernetes with Service Mesh (Istio)
Chapter 90: Multi-Tenancy in Kubernetes
Chapter 91: Kubernetes Operators
Chapter 92: Admission Controllers & Webhooks
Chapter 93: Kubernetes Security Policies
Chapter 94: Seccomp, AppArmor, and Linux Capabilities in Kubernetes
Chapter 95: Using Secrets Securely in Kubernetes
Chapter 96: Pod Security Standards and Admission Controllers
Chapter 97: Runtime Security and Monitoring in Kubernetes
Chapter 98: Service Mesh Observability (Istio, Linkerd)
Chapter 99: Kubernetes Cost Optimization
Chapter 100: GitOps for Kubernetes Management
Chapter 101: Progressive Delivery – Canary, Blue-Green Deployments
Chapter 102: Kubernetes Autoscaling (HPA, VPA, KEDA)
Chapter 103: Kubernetes Horizontal vs Vertical Scaling – Deep Dive
Chapter 104: Pod Disruption Budgets (PDB) & High Availability
Chapter 105: Kubernetes High Availability (HA) Strategies
Chapter 106: StatefulSets vs Deployments – When & Why
Chapter 107: Securing Kubernetes Secrets
Chapter 108: Managing TLS Certificates in Kubernetes
Chapter 109: Dynamic Admission Controllers – Webhooks in Kubernetes
Chapter 110: Kubernetes Cost Optimization Strategies
Chapter 111: Kubernetes for Machine Learning Workloads (Kubeflow, GPU, Tolerations)
Chapter 112: Chaos Engineering in Kubernetes (Litmus, Chaos Mesh)
Chapter 113: Kubernetes Multi-Zone & Multi-Region Deployments
Chapter 114: Observability in Kubernetes
Chapter 115: Kubernetes with Service Mesh (Istio, Linkerd)
Chapter 116: Kubernetes Ingress Controller vs API Gateway
Chapter 117: GitOps with ArgoCD and Flux
Chapter 118: Kubernetes Blue-Green and Canary Deployments
Chapter 119: Kubernetes Disaster Recovery & Backup
Chapter 120: Kubernetes GitOps with ArgoCD
Chapter 121: Kubernetes Canary Deployments
Chapter 122: Kubernetes Gateway API
🔹 Appendices
A: Glossary of Terms
B: HTTP Status Code Cheat Sheet
C: API Design Templates
D: CLI Tools for Backend Developers
E: Backend Dev Bookmarks & Resources