Beginner Friendly4 Lessons
Distributed Systems Mastery
A complete roadmap to understanding core concepts like CAP theorem, Consistent Hashing, and Consensus algorithms.
Articles in this series
1
16 min read•Hard
Understanding Raft Consensus: Building Blocks of Distributed Databases
A practical guide to the Raft consensus algorithm with Go implementation examples. Learn leader election, log replication, and safety guarantees.
2
12 min read•Hard
Building Resilient Distributed Systems with Go
Learn how to design and implement fault-tolerant distributed systems using Go's concurrency primitives, circuit breakers, and graceful degradation patterns.
3
11 min read•Medium
Caching Strategies at Scale: Beyond Simple Key-Value Stores
Explore advanced caching patterns including write-through, write-behind, cache-aside, and distributed caching with Redis Cluster for high-throughput systems.
4
8 min read•Medium
Scaling Redis for High-Throughput Systems
When your distributed system hits 100k requests per second, your caching layer becomes the most critical component. Here's how to configure Redis Cluster for maximum resilience.
