~postgresweekly | Issue 596 - It's time to learn (7)

🕒 Time to Better Know the Time in Postgres — If you’ve ever been guilty of just crossing your fingers and hoping for the best when working with times in Postgres, this is for you. Packed with examples and advice, Radim looks at how different time data types work, how to work with time zones, intervals, time ranges, and more.

A Roadmap to Scaling Postgres — An experienced Postgres specialist presented an ordered list of steps to think through when scaling up a Postgres deployment from first getting your data model right, through to indexing, hardware, tuning, and sharding.

2x-40x Faster Docker Builds with Blacksmith — With a one-line code change, Blacksmith can make your Docker builds incremental by mounting your Docker layer cache into your GitHub Actions runner. Blacksmith is used by 350+ companies like Ashby, Clerk, and Mintlify.

📈 Making Postgres Better with OrioleDB — OrioleDB is an alternative storage engine for Postgres that extends the table access method framework to optimize performance on modern hardware. But by how much? Brian runs some tests.

Creating Histograms with Postgres — A histogram visualizes data distribution by grouping values into bins and displaying the frequency of each bin. Postgres has a width_bucket to help you do this, and Elizabeth shows off some fantastic queries here.

pg_auto_failover 2.2: Automated Failover Extension — An extension and service that monitors and manages automated failover for a Postgres cluster. Now supporting Postgres 17.

🤖 Postgres Pro: An MCP Server to Let AI Agents Tune and Improve Your Database Usage — I suspect it’ll need to be renamed (so as not to confused with the company of the same name?), but this is an interesting first step at providing a bridge between modern AI models and agents and Postgres by way of an MCP server that lets AI agents...