~/talk

Bringing DevOps to the Database

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Claims that databases can be builds tests and releases like app code by putting DDL/DML into Git, running Azure DevOps pipelines for CI, using tSQLt unit tests and a curated data set, and automating releases to QA/staging/prod (demo shows CI failing on a missing primary key then passing after fix). Compares comparison vs migration scripts (pros/cons of SQL Compare style state sync versus ordered migration files) and stresses consistent environments, rollout automation, and selective manual rollback.

AI-written summary · about

  1. 0:00Intro
  2. 0:16Three Takeaways
  3. 2:25What is DevOps?
  4. 9:19The Application Development Pipeline
  5. 10:48The Database Development Pipeline
  6. 14:07Evolving Database Development
  7. 22:26Database Continuous Integration
  8. 24:37Database Testing
  9. 31:55Generate the Update Script
  10. 33:14Model/State/Compare based process
  11. 34:18Migrations based process
  12. 38:03Deploy the Code
  13. 43:11Release Issues - Rollback
  14. 45:23Release Issues - Environmental Data
  15. 48:49Summary
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