PostgreSQL

PostgreSQL on fru.dev

PostgreSQL across fru.dev: timeline

  1. PostgreSQL connectors and syncs are fragile (Problems)
  2. Apache Spark users keep asking for help (Problems)
  3. PostgreSQL users keep asking for help (Problems)
  4. Vector search quality and scaling are hard to get right (Problems)
  5. Everyday tools feel slow and laggy (Problems)
  6. Apache Iceberg schema changes break downstream pipelines (Problems)
  7. Apache Spark upgrades break working setups (Problems)
  8. PostgreSQL error messages are cryptic (Problems)
  9. pandas users keep filing bugs (Problems)
  10. Bad data slips into production unnoticed (Problems)
  11. Dagster backfills are slow and risky (Problems)
  12. AI tool plans, limits and pricing keep changing (Problems)
  13. Trouble with pandas series (Problems)
  14. MLflow users keep filing bugs (Problems)
  15. Trouble with DuckDB overflow (Problems)
  16. Kubernetes is too complex for most teams (Problems)
  17. Dependency conflicts break installs and builds (Problems)
  18. Prefect upgrades break working setups (Problems)
  19. PostgreSQL queries run too slowly and are hard to tune (Problems)
  20. Airbyte is too complex to run well (Problems)

25 events in all: the full list as JSON.

Sources