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Lightning talks

Lightningat Clojure/conj 2014 · 2014-11-20..11-22· [engineering-leadership, databases]
name:KM tman
links:none on file
slides:none on file

Company technical snapshot describing why to join: Clojure drives core services, data pipelines run on Spark and Redshift, storage on Postgres with Jetty HTTP endpoints, Guava and java.util.concurrent handle concurrency; an in‑house Chef replacement (Perl/Bash/Make) boots production fast. Engineering is flat and metrics‑driven, experiments must show the numbers. SLAs target 99.5th percentile under 30 ms and systems have hit ~40,000 req/s; overall goal is a real‑time personalization/recommendation engine for ~50 million users.

AI-written summary · about

  1. 0:00Intro
  2. 1:48Tech stack
  3. 4:27Tech culture
  4. 8:00Challenges
  5. 10:10Vision
  6. 11:00Fondo
  7. 19:25Shalamar
  8. 23:18Website
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