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Strangling the Monolith With a Data-Driven Approach

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A health‑insurance cost estimator is rewritten by routing live traffic through a proxy called Project X that logs every request and response, compares legacy and new calculator outputs, and flags mismatches; engineers run a baseline variance test in CI (Concourse) using real production pairs, track 90% matched cases, apply a financial‑risk formula, and progressively cut over. The team delivers reusable microservices, slashes QA effort, and completes the decisive strangling of the monolith in about 13 weeks.

AI-written summary · about

  1. 0:00Introduction and speakers
  2. 1:05Case study overview
  3. 2:10Legacy system challenges
  4. 4:38Initial rewrite struggles
  5. 8:31Pivoting to data-driven approach
  6. 9:54Strangler pattern explained
  7. 13:10Project X and data logging
  8. 14:55Comparing old and new systems
  9. 16:39Automating error detection
  10. 17:20Tracking business metrics
  11. 19:27Handling monolith inaccuracies
  12. 20:30Strangling false positives
  13. 21:58Monolith shutdown decision
  14. 23:26Losing the baseline confidence
  15. 24:56Self-baselining production
  16. 26:01Baseline variance testing
  17. 27:50Key learnings summary
  18. 29:18Pattern comparison recap
  19. 32:09Q&A
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