~/talk

Embracing Complexity Entropy in Software Design

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Refactors turn a tangled policy-diff library into an HTTP service written in Go, fronting Lambda-backed microservices and DynamoDB, with Snowflake for analytics and LaunchDarkly for rollout. The new API exposes a locked-down concrete adjustment set and always enforces validation, using init-time reflection to guarantee adjustment types, so consumers can no longer skip checks. Result: atomic, feature-flagged rollouts across a platform serving over half a million customers, trading a little extra implementation complexity for far lower interface entropy and safer deployments.

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  1. 0:00Introduction
  2. 3:29Go for platform choice
  3. 7:27Aviva Zero tech stack
  4. 10:13Insurance policies mutability
  5. 20:07Policy diff library problems
  6. 23:01Entropy in software
  7. 27:34Complexity versus complicated
  8. 31:47High entropy interfaces risks
  9. 37:11Restructuring for maintainability
  10. 46:03Library to service benefits
  11. 50:15Summary and Q&A
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