Correct. The new site is a temporary one, more details will follow as we firm up our new plans.

wow. that's surprising!

That looks super interesting. There seems to be a burst of innovation in this space of better developer abstractions on top of data systems recently.

Looking forward to it!

Related: super interesting discussion on stateful stream processing vs OLTP with @apurvamehta.com from @responsive.dev open.spotify.com/episode/1hsH... (start at 18:46)

If, on the other hand, IDEs can build proprietary adjacent tooling that integrates into developer workflows, they may become the integration point, and consequently an aggregator.

Not sure what you mean by aggregator, but for me it's something that has a 2-sided network effect. I don't know if that applies to the IDEs: If 2 IDEs use the same foundation model, what's the structural barrier for one to copy the other over the medium term?

wow. that's so cool. I never thought to use ChatGPT like that. It makes so much sense!

What’s a query example that ChatGPT helped with?

Most banks export your credit card transactions as CSV, with categorizations. I just load that into sheets and then make a chart out of it. Since most of the spending is on CC, it works pretty well.

(3/3) Application upgrades were by far the #1 requested topic when we asked what the community would like to learn about earlier this year.

We hope you find this latest post in our Kafka Streams 101 series helpful!

www.responsive.dev/blog/topolog...

(2/3) @ableegoldman.bsky.social has been helping the @kafkastreams.bsky.social community with application upgrades since what feels like the beginning of time. She has now put all of that practical knowledge in one blog post to help everyone reason about their upgrades and do them correctly.

We mostly use those two terms interchangeably. However, a remote storage solution could also have a disaggregated storage architecture with multiple layers: in-memory, on disk, object store, etc.