Writing

Deep dives into distributed systems, Kafka internals, consensus algorithms, microservice patterns, and backend engineering.

2026

MapReduce: Distributed Data Processing from Scratch

How MapReduce distributes large-scale data processing across a cluster — covering the programming model, task scheduling, fault recovery, and what I learned building a simplified framework in Go.

Distributed SystemsMapReduceGoArchitecture

Mar 15

7 min read

2025

Kafka Architecture: A Deep Dive

How Kafka achieves high throughput, fault tolerance, and exactly-once semantics — covering partitions, replication, consumer groups, and the log-based storage model.

KafkaDistributed SystemsBackend EngineeringArchitecture

Apr 10

6 min read

Raft Consensus Algorithm Explained

A deep dive into how Raft achieves distributed consensus through leader election, log replication, and safety guarantees — with implementation notes from building a Raft-based key-value store in Go.

Distributed SystemsRaftConsensusGo

Mar 1

5 min read