Sébastien Maintrot

Software Engineer @jittervideo

[Jitter @jittervideo]

Introducing Superagents ✨

Remix, resize, translate. Tweak small details or animate complex scenes. Create anything you can describe.

AI agents, now built right into Jitter 👇

[Jitter @jittervideo]

Introducing Jitter AI ✨

Don't search for the right creative tool. Build it.

Just type your idea and get a ready-to-use effect in seconds.

Live today 👇

[Sébastien Maintrot @ImpSy_fr]

@thdxr - use the sessionID has key
- use append capabilities of the object storage
- if possible use a non replicated bucket for IO speed (s3 express)
- would rely on object metadata for maintaining a distributed lock
- also rely on metadata to store the last update (for UI refresh)

[Sébastien Maintrot @ImpSy_fr]

@jittervideo ����🔥🔥

[Sébastien Maintrot @ImpSy_fr]

@DanielLockyer If you’re ready to lose bit of early access feature, I find the k version way better in term of speed / usability
I drop the “A” a few years ago because I could not stand the general sluggishness of it

[Sébastien Maintrot @ImpSy_fr]

@thdxr I think that https://t.co/WWYkEy1lrs would work here

[Charlie Marsh @charliermarsh]

Announcing uv: an extremely fast Python package installer and resolver, written in Rust.

uv is designed as a drop-in alternative to pip, pip-tools, and virtualenv.

With a warm cache, uv installs are near-instant. Here, it's > 75x faster than pip and pip-tools.

[Sébastien Maintrot @ImpSy_fr]

From what I read here
I'll be able to reduce the code on some my page by ~50%
Sounds almost too good to be true
https://t.co/Ixcoj3f6on

[Sébastien Maintrot @ImpSy_fr]

@flaviocopes A dead simple page to find free games on PC / Xbox / Playstation

https://t.co/eHNTrw2cjK

[Sébastien Maintrot @ImpSy_fr]

People ask for this when i launch on HN a few month back and now it's here
No more excuses to miss games
You don't even need to look at my ugly website anymore

[WP4G - whypay4games @whypay4games]

RSS feed is now available on WP4G
Just subscribe to https://t.co/nKbreh8IbE to receive updates on your favorite aggregator

[Jean-Yves Stephan @JyStephan]

Ocean for Apache Spark, our fully managed, continuously optimized, Spark-on-Kubernetes service, is now available on Google Cloud. It's deployed on a GKE cluster in your GCP account.

Learn more:
https://t.co/2ApeajnrVR

Congrats to the team!
#AWS ✅
#GCP ✅
#Azure: coming next!

[TrashTalk @TrashTalk_fr]

Jsuis désolé mais cette vidéo me fume trop 😭😭😭😭

[Andrew Prahlow @andrewprahlow]

the Outer Wilds albums passed 25 million streams on Spotify! thank you everyone so much for your support - and for believing that the music can extend the Outer Wilds experience after you’ve finished the game 🪕🏕

[Jean-Yves Stephan @JyStephan]

#ApacheSpark 3.2 was just released and it's now available on @DataMechanics_!

New Features:
* Spark-on-k8s specific: PVC reuse making Spark robust to exec loss by disaggregating compute & storage.
* Spark now bundles Koalas, Hadoop 3.3.1, and RocksDB.

https://t.co/sEu2rIdYUL

[Jean-Yves Stephan @JyStephan]

@DataMechanics_ now powers the United Nations Global Platform, enabling statisticians around the word to analyse maritime traffic data.

Migrating their #ApacheSpark platform from #EMR to #SparkOnKubernetes improved their UX & reduced their costs by 70%!
https://t.co/aLotNOgIp7

[Software Engineering Daily @software_daily]

Data Mechanics: Data Engineering with Jean-Yves Stephan @DataMechanics_ @JyStephan https://t.co/T3YAiHthDA

[Jean-Yves Stephan @JyStephan]

You don't like the Spark UI?

We heard you!

We're releasing Delight - a free & cross-platform monitoring dashboard for #ApacheSpark.

https://t.co/iD9bUZ8U3i

Backed by an #opensource agent, It works on top of any Spark platform - Databricks, EMR, Dataproc, CDH/HDP, ...

[Jean-Yves Stephan @JyStephan]

We're releasing our optimized #Docker images for #ApacheSpark at @DataMechanics_ !

Blog: https://t.co/eITg84lVjz
DockerHub: https://t.co/35UaTWPL7B

They contain Spark, Scala, Java, Hadoop, Python, and connectors to common data sources. We hope to save you from dependency hell!

[Towards Data Science @TDataScience]

.@DataMechanics_ goes over the main features of Spark 3.1, with a special focus on the improvements to Spark-on-Kubernetes. https://t.co/IPp7CD74wh