Study Guide for DevOps, Chaos and Backend Engineer

Quick Navigation

📚 Complete Study Guide

• 📖 Complete Edition - All content in one document (printable)

Core Fundamentals

• Algorithms & Data Structures - Dynamic Programming, Greedy Algorithms
• Core Data Structures - Lists, Dicts, Sets, Heaps, Queues
• Complex Data Structures - Trees, Graphs, Traversals
• Searching & Sorting - Binary Search, Sorting Algorithms
• Sliding Window Algorithms - Fixed/Variable Window Patterns
• Frontend Development - DOM, React, Components, Interview Prep
• Programming Languages & Tools - Python, Node.js, Bash, React Deep Dive

System Design & Architecture

• System Design Problems - 12 Classic Problems with Solutions
• Data Layer & Databases - CAP Theorem, Database Types, Patterns
• Design Patterns - Creational, Structural, Behavioral Patterns
• Cheat Sheet - Quick Reference & System Design Appendix

DevOps & Cloud

• CI/CD & Infrastructure - Terraform, Jenkins, Kubernetes
• Reliability Engineering - Internet Fundamentals (OSI 7-Layer, TCP/UDP, gRPC, Kafka), Observability, Chaos Engineering, Load Testing

Security & Performance

• Security & Compliance - HIPAA, HTTPS/TLS, Security Best Practices, Essential Libraries, OWASP

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Study Paths

DevOps Engineer Track

1. Start with Core Data Structures for interview fundamentals
2. Study CI/CD & Infrastructure for practical DevOps skills
3. Master Reliability Engineering for observability, chaos, and load testing
4. Review Security & Compliance for production readiness

Backend Engineer Track

1. Begin with Algorithms and Data Structures
2. Study System Design Problems for architecture skills
3. Learn Data Layer for database design
4. Review Performance Testing for optimization
5. Understand Security Patterns for secure applications

Full-Stack Developer Track

1. Master Core Data Structures and Algorithms
2. Study System Design for scalable architecture
3. Learn DevOps practices for deployment and operations
4. Understand Reliability Engineering for production monitoring and resilience
5. Review Security for secure applications

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Interview Preparation

System Design Interviews

• Use System Design Problems for practice scenarios
• Reference Data Layer for database decisions
• Check Cheat Sheet for quick patterns and formulas

Coding Interviews

• Practice with Algorithms examples
• Review Data Structures implementations
• Use Searching & Sorting for algorithm problems

DevOps Interviews

• Demonstrate CI/CD knowledge with practical examples
• Show understanding of Reliability Engineering including chaos engineering and observability
• Discuss load testing, monitoring, and resilience strategies

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Quick Reference

Common Patterns

• Idempotency: System Design
• Retry with Jitter: System Design
• Outbox Pattern: System Design
• Circuit Breaker: Cheat Sheet

Key Concepts

• CAP Theorem: Data Layer
• ACID vs BASE: Data Layer
• Load Balancing: Cheat Sheet
• Caching Strategies: Cheat Sheet

Tools & Technologies

• Terraform: CI/CD
• Kubernetes: CI/CD
• Prometheus: Reliability
• Chaos Tools: Reliability

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Print-Friendly Version

For printing and offline study, each document is formatted without emojis and optimized for readability. The Cheat Sheet provides a condensed single-page reference for quick review.

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Last Updated: 2024 - Comprehensive study guide covering DevOps, Chaos Engineering, and Backend Development fundamentals