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WhatsApp Scaling Architecture: Lessons from Two Years of Growth

Over the past two years WhatsApp has dramatically expanded its user base, hardware, and traffic while maintaining a tiny engineering team, highlighting the challenges of massive scalability, Erlang‑based distributed design, Mnesia database bottlenecks, decoupling strategies, and operational patches required to keep the service reliable.

ErlangMnesiaOperations
0 likes · 15 min read
WhatsApp Scaling Architecture: Lessons from Two Years of Growth

How WhatsApp Scaled to 400 Million Daily Messages with a 10‑Engineer Team

This article examines how WhatsApp grew its user base, message volume, and infrastructure dramatically over two years while keeping the engineering team at ten, detailing the architectural choices, Erlang‑based stack, hardware scaling, decoupling strategies, and the operational challenges that led to both performance gains and a major outage.

Distributed SystemsErlangMnesia
0 likes · 15 min read
How WhatsApp Scaled to 400 Million Daily Messages with a 10‑Engineer Team