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Building a RESTful real-time analytics system with Pyramid

Talkat EuroPython 2015 · 2015-07-20..07-26· [python, web-performance]
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slides:none on file

CeleraOne describes a production system: an in‑memory C++ engine plus a REST layer built with Pyramid running under uWSGI, a proxy layer using OpenResty/LUA, Django for internal tooling, and a Django/Jenkins packaging pipeline. Workers aggregate and cache precomputed metrics into MongoDB; full clusters serve up to 10,000 requests per second. The claim is that this combination scales to billions of impressions and real‑time user segmentation; deployment and tests run end‑to‑end and are reported as working.

AI-written summary · about

  1. 0:00Intro
  2. 1:47C1 platform architecture
  3. 5:10Typical setup
  4. 6:57Python Software stack
  5. 8:32Pyramid app with Cornice and Colander
  6. 12:24Test case example
  7. 13:39Pyramid app - modularity and pluggability
  8. 15:36Pyramid app - pluggability example
  9. 21:21Testing, packaging, deployment
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