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Code More, Draw Less, and Debug Just a Little!

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Bloomberg builds an auto-refreshing visualization that scrapes GitHub, distributed traces and org metadata, enriches it with GraphDB, pandas and Python, stores components and relations in Neo4j and exposes multiple query-driven views through an interactive UI. Repos can include a small root file to declare relations, scrapers run as daily jobs, and the production graph reaches ~10,000 nodes so teams query impacted services, package dependencies and owners quickly instead of juggling 25+ links.

AI-written summary · about

  1. 0:00Introduction and motivation
  2. 6:31Graph databases and Python
  3. 11:06Step-by-step implementation
  4. 18:04Adding people and teams
  5. 22:03Benefits and use cases
  6. 24:54Q&A session
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