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System Design Tutorial

Last Updated: June 26, 2026
By: javahandson
Series

The System Design Tutorial section explains how scalable, reliable, and high-performance applications are designed. It covers topics such as scalability, load balancing, caching, databases, replication, sharding, messaging, consistency, partitioning, high availability, and fault tolerance. You’ll also learn technologies and concepts such as Kafka, RabbitMQ, Redis, CAP theorem, rate limiting, and distributed systems. Complex concepts are explained step by step using practical examples and real-world scenarios. This section helps developers strengthen their architecture knowledge and prepare for System Design interviews.

Coordination & Reliability

Consensus in Distributed Systems: Leader Election and Raft Made Simple

Microservices & APIs

Service Decomposition and Bounded Contexts: How to Split a System
API Gateway vs Service Mesh and Service Discovery: What Each One Solves
REST vs gRPC vs GraphQL: A Practical Guide with API Versioning Strategies
Authentication and Authorization at Scale: OAuth2, JWT, OIDC, and Token Validation Patterns

Messaging & Event-Driven

Kafka Deep Dive: Partitions, Consumer Groups, Offsets, and Ordering Guarantees
RabbitMQ Exchanges and Queues Explained, Plus the Real Kafka vs RabbitMQ Trade-offs
Event Sourcing in System Design: A Beginner’s Guide
Distributed Locking Explained: Redis Redlock, ZooKeeper, and Why It’s Tricky
Stream Processing with Kafka Streams: Windowing and Backpressure Explained

Scaling & Data Basics

Scaling and Data Basics
Back-of-the-Envelope Estimation & System Design Basics
Load Balancing and Types of Load Balancers Explained
Caching Strategies in System Design: Patterns and Eviction Policies
Redis Cache Invalidation and Hot Keys: A Deep Dive
Database Replication in System Design Explained: Leader-Follower, Sync vs Async, and Read Replicas
SQL vs NoSQL Trade-offs in System design: When to Pick Which, With Examples

Consistency & Partitioning

CAP Theorem and PACELC in System Design: How to Actually Apply Them
Consistency Models in System Design: Strong, Eventual, Causal, and Read-Your-Writes
Sharding and Partitioning Strategies in System Design: Range, Hash, and Directory Explained
Consistent Hashing in System Design: How to Draw the Ring and Explain Rebalancing
Database Query Optimization in System Design: Indexing, Query Tuning, and Connection Pooling

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JavaHandsOn is a learning website. Here I will share knowledge related to Java and its frameworks like Spring, Hibernate, Spring Boot, etc. We will learn every topic using some basic examples. I hope you get in-depth knowledge of Java here and be a proficient developer.

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