PostgreSQL

PostgreSQL across Glyph

PostgreSQL across Glyph: timeline

  1. Airbyte is too complex to run well (Problems)
  2. MySQL users keep asking for help (Problems)
  3. Airbyte secrets and keys are hard to manage (Problems)
  4. Upstream schema changes break downstream pipelines (Problems)
  5. pandas users keep filing bugs (Problems)
  6. PostgreSQL queries run too slowly and are hard to tune (Problems)
  7. Redis upgrades break working setups (Problems)
  8. PostgreSQL users keep filing bugs (Problems)
  9. PostgreSQL upgrades break working setups (Problems)
  10. Trouble with Prefect flow (Problems)
  11. ML experiments are hard to reproduce and track (Problems)
  12. Trouble with PostgreSQL values (Problems)
  13. AI tool plans, limits and pricing keep changing (Problems)
  14. CI builds are slow and tests are flaky (Problems)
  15. PostgreSQL containers are slow, bloated or crash (Problems)
  16. DuckDB error messages are cryptic (Problems)
  17. Kubernetes is too complex for most teams (Problems)
  18. Prefect upgrades break working setups (Problems)
  19. Mistral users keep filing bugs (Problems)
  20. Small files, skew and partitioning hurt performance (Problems)

298 events in all: the full list as JSON.

Sources