Interactive Learning

Interactive Engineering Guides

A collection of interactive study guides designed to help engineers learn complex backend and distributed systems topics through visual explanations, architecture diagrams, and real-world examples.

Apache Kafka: Beginner to Pro

Complete visual guide covering core concepts, internals, partitioning, ISR, system design patterns, and a Spring Boot E2E walkthrough.

FREE

System Design Interview Guide

Comprehensive guide covering scalability, databases, caching, messaging, distributed systems, and fintech patterns.

FREE

What This Project Is

Interactive study guides for backend & distributed systems

Structured learning paths
Visual explanations and diagrams
Interview-focused questions and discussions
Production-oriented examples
Beginner → Advanced progression

These guides are intended to complement official documentation, courses, and hands-on practice.

What You Get

Self-contained HTML guides — no installation required
Offline-friendly — learn anywhere
Search & progress tracking
Architecture diagrams and visual summaries
Interview Q&A with detailed explanations
System design discussions — trade-offs and real-world patterns
Consistent experience across all topics

What This Project Is Not

❌ A replacement for official documentation
❌ A substitute for hands-on experience
❌ A certification program
❌ The only source you should use

Whenever possible, explore official docs, real-world projects, production case studies, and community discussions.

Why This Exists

Modern AI tools can generate study material — but engineers waste hours organizing it

Designing prompts
Refining outputs
Organizing content
Building diagrams
Maintaining consistency across topics

This project provides ready-to-use study resources you can learn from immediately — fully transparent about their purpose as educational guides.

Coming Soon

⚡ Redis / Valkey

Deep dive into Redis data structures, persistence, clustering, and real-world use cases.

IN PROGRESS

☕ JVM Internals

Understanding garbage collection, memory models, JIT compilation, and performance tuning.

PLANNED