Databricks
@databricks
A 2,500 GB database with a 20 GB hot working set doesn’t need 2,500 GB of RAM.
That principle runs through Lakebase Postgres cost optimization: size around what your application actually needs.
✦ Sync only the working set your app queries
✦ Match Snapshot, Triggered or Continuous sync to freshness requirements
✦ Size compute so hot data fits in cache
✦ Set PITR and snapshots around actual recovery needs
The full guide breaks down how to keep costs predictable while maintaining the performance, availability and developer experience applications need: https://t.co/fqn6kftNtc