Alastair Turner

There are so many projects around Postgres which we rely on to extend functionality of the database engine, connect applications to the database, or simplify management and operations. The breadth of community around these projects may well not be as broad as that around the core Postgres project.

Postgres 19 will be with us any day now. Like any major version of Postgres it brings improvements for everyone. If you’re interested in operations, performance, application development, or just plain database geekery, there is something for you. Join Principal Software Engineer Andreas Karlson...

It often looks like everyone loves AI. Everyone also seems worried about AI. Some will even be wondering if those two consecutive short sentences show that this text was written by AI. It wasn’t.

Every database is doing vector search. No two of them are doing it in quite the same way. Which is not suprising - they start from different architectural traditions and constraints, and optimise for different things.

During a planned changeover, or after the failure of a primary, smoothly promoting a Postgres replica is not the end of the problem. It’s the start of a new phase of the problem - getting the clients connected to the right Postgres instance.

You already know your Postgres, but you're being asked to work with this Kubernetes thing. Do you want to focus your Kubernetes learning on only the bits which are relevant to databases?

You already know your Postgres, but you're being asked to work with this Kubernetes thing. Do you want to focus your Kubernetes learning on only the bits which are relevant to databases?

The recent buzz around generative AI has driven an interest in vector databases - database capabilities for handling, searching and clustering data structures with hundreds or thousands of numerical values.