Erlang Factory 2014 - That's 'Billion' with a 'B': Scaling to the Next Level at WhatsApp
Erlang Solutions
Why leaders watch it
Case study of how a very small team served billions of users by choosing simple, proven tools and tight focus.
Rick Reed of WhatsApp explains at Erlang Factory 2014 how the service scaled to billions of messages with a very small engineering team. He covers the FreeBSD and Erlang stack, Mnesia usage, server counts and bottleneck work.
Takeaways
- Small teams can serve huge scale
- Choose boring, well-understood tools
- Focus on measured bottlenecks, not guesses
Topics: Engineering & technical leadership, Org design & scaling
Related
- Rick Reed - WhatsApp: Half a billion unsuspecting FreeBSD users · iX
- AWS re:Invent 2019: Optimizing Aerospace manufacturing operations & supply chain with AWS (MFG201) · AWS Events
- Joe Armstrong & Alan Kay - Joe Armstrong interviews Alan Kay · Erlang Solutions
- How We've Scaled Dropbox · Stanford
- OOPSLA Conference: Growing a Language · Computer History Museum
- Jim Goetz and Jan Koum at Startup School SV 2014 · Y Combinator
- Anthony Marcar - Clojure At Scale @WalmartLabs · ClojureTV
- Building Software Systems At Google and Lessons Learned · Stanford
- Google I/O 2012 - Meet the Go Team · Google for Developers
- Gabriella Gonzalez – How to market Haskell to a mainstream programmer · Konfy
- AWS re:Invent 2014: AWS Innovation at Scale with James Hamilton (SPOT301) · Amazon Web Services
- What I Wish I Had Known Before Scaling Uber to 1000 Services • Matt Ranney • GOTO 2016 · GOTO Conferences
