Robert Zych

Which techniques do you use to increase your trust in model generated code? Submitting the same task to multiple models can produce interesting results.

Secure & Low-Latency Queries at scale with Raft Data Platform - [R]DP - Raft | Operationalize Data & Agentic AI Raft is a DefenseTech Product company on a mission to connect humans with data at the edge. One of our products is the Raft Data Platform -[R]DP. We’ve built the [R]DP and operationalized it in severa...

For this demo I generated a 100TB data set (50GB/min) and maintained sub-second query latencies

teamraft.com/resources/in...

Ale jaja

The JVM internals series - #5 is out..

This episode lays out a good foundation for us to go into the internals of each of the amazing GCs and their tradeoffs.

Become a member to access the upcoming internals episode.. Meanwhile watch this video (free access until tomorrow). youtu.be/p1Yamdly0QE

Perfect Polish smile. Just need a black and white copy for your passport.

With @apachepinot.bsky.social I can query a 100TB data set and using it’s Star-tree index can get 20ms query latency!

Has anyone used DuckDB for TB or PB scale data sets? Asking for a friend.

I was reading this book recently and stumbled across this handy formula for calculating Kafka partitions:

Max(target tp / producer tp, target tp / consumer tp)

@startreedata.bsky.social Thank you and Merry Christmas! My community box arrived last night and with my winnings from the MI competition I recently purchased a pair of skis. #startree

I’m planning to use ST to generate 100TB of data

YouTube video by StarTree Meetup: Apache Pinot Year in Review 2024

@apachepinot.bsky.social It's a bit early for xmas, but thanks for all the features! youtu.be/gwcL7O0o6W4?...

@apachepinot.bsky.social Welcome!

What is the graph trying to show? Do you have any examples of virtual threads from prod?

Last night, I was exploring thread safety issues with ChatGPT. It only took two attempts to generate a test that exposed the lack of a synchronized block for a section that updates multiple member variables. #java

Assuming refs could handle the new rule it would prevent goals from offside situations, but it would hurt counter attacking.

It’s been a while since we’ve had this discussion. Could you remind me when you would call offsides?

Didn’t we used to say monkey’s tail back in the early days of the internet?

Correct! Thanks for playing! This was based on an example from “Java Concurrency in Practice”.

What does this program output? #java

trod through great compilation

Exodus!

Here’s my dog Mocha. She’s 2

@thegeeknarrator.bsky.social thanks for the book recommendation. This one is much easier to read

90 days ago Bluesky had 6.18M users
30 days ago Bluesky had 10.85M users
Tomorrow Bluesky will have 15M users

This is absolutely wild, thanks for believing in us y'all

Coincidentally I just started reading and enjoying “Java Concurrency in Practice”

Let's go! Update your starter packs #dataBS

Great point! Perhaps “performance over precision” is a more appropriate phrase for this trade off.

Another example that comes to mind is from Kafka Streams where you define the grace period for windows with late arriving events.

In which cases is performance more important than correctness?

Approximations. Like Pinot’s DISTINCTCOUNTHLL which returns an approximate distinct count using HyperLogLog.

Does anyone else have a good example?

And your data model can be only as good as the query patterns it was designed to support

Both if possible. But if not, then correctness over performance. And all other key benefits of the Responsive platform itself (above and beyond Kafka Streams)

How does Responsive support calls to external services while processing the stream?

What are the current and future benefits of using SlateDB?