Daniel PETISME (@danielpetisme) header
Daniel PETISME (@danielpetisme) profile picture

Open Source Activist #jhipster #quarkus Customer Success Technical Architect @confluentinc Learning and sharing is all I can do.

Clermont-Ferrand - France
Joined September 2010
Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)Photo by Daniel PETISME (@danielpetisme)
On behalf of the @Java DevRel Team at @Oracle, congratulations to the newest member of the #Java Champions Program @julienviet
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Daniel PETISME retweeted
Replying to @danielpetisme
@danielpetisme nous raconte « 4 ans de télé-travail total. Retours d'expérience, défis et bonnes pratiques »
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Daniel PETISME retweeted
Published a new blog post: Building a Distributed Log Using S3 (Under 150 Lines of Go) The log is a powerful storage abstraction. Using a log, you can build a database, message queue, or event streaming system. S3 makes it all better and easier! This is the third blog post in the series on Disaggregated Storage.
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Le créateur du langage Java prend sa retraite bien méritée 😎
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We are looking for a product manager for our team, who will focus on #KafkaStreams -- It's a great opportunity to work with a team of world-class engineers and to push the boundaries how our users build event-driven applications! linkedin.com/jobs/view/37096…
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💰I made an easy way to test Debezium change data capture against Postgres. The problem: to get interesting data out of Debezium, you need to orchestrate a streaming series of table inserts, updates, and deletes. The solution: ShadowTraffic's `stateMachine` generator. Tell it what your data should look like and how frequently it should update before deleting. There's still some usability rough edges here, but the results are great.
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50 years ago, SQL was first presented at the SIGFIDET Conference. What a great impact it had on database systems! Today, the latest database systems that are developed are called NewSQL, and they embrace SQL fully. dl.acm.org/doi/proceedings/1…
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You bet! Either generate it directly to Kafka: github.com/shadowtraffic/sha… Or run create/update/delete's straight to Postgres and let Debezium intercept them: github.com/shadowtraffic/sha…
Hey @MichaelDrogalis out of curiosity, can one generate Change Data Capture data with @ShadowTrafficIO ? Thanks 🙏
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RT'ed the answer for others to see :)
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Hey @MichaelDrogalis out of curiosity, can one generate Change Data Capture data with @ShadowTrafficIO ? Thanks 🙏
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🔥 I can't believe it: 8 months in, and I've just closed my 3rd enterprise customer. Will I make it long term? Who knows. But so far, my revenue per employee is higher than many seed-funded startups, and all of my existing customers have expanded 3-4x their initial use cases. This is unfakeable progress. I just want to say thanks to everyone who's been following along. It's terrifying being a bootstrapped solo founder. But right now, I wouldn't have it any other way.
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Daniel PETISME retweeted
📣 Reminder 📣 Le CFP pour l'édition 2024 de @VolcampIO est ouvert ! N'hésitez pas à soumettre vos talks (Conférence/Workshop/Lightnings) ! C'est juste ici => conference-hall.io/public/ev…
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👀
Gmail option to declare email bankruptcy
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Congratulations to new #Java Champion @jponge
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The work is never just “the work”. The actual “work” you have to do, is just a very small part of a whole invisible set of a project. There’s the world around the work, to get the work, before the work, between the work, beyond the work, outside the work, etc.
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Daniel PETISME retweeted
Wow! I'm current top 2 contributor for LangChain in Python ! Thanks for the kind mention @langchain
👨‍👩‍👧‍👦👩‍👩‍👦‍👦 We've added a People page! There are some incredible humans from all over the world who have been instrumental in helping the LangChain community flourish, and we'd like to do more to recognize them and thank them for their efforts. To start, we're highlighting top reviewers + contributors! There's more than can fit in a single Twitter post, so check out the pages themselves too - they'll automatically update every month! 🐍 python.langchain.com/docs/pe… ☕ js.langchain.com/docs/people… A huge thank you to the following people: 🐍 Top Python Reviewers: - leo-gan - lkuligin - @pjain7 - cbornet - @phoey1 - @johnjnay - @sjwhitmore - @HoltSkinner12 - @tjaffri - skcoirz - @tchutch94 - @sampartee - @mesirii - Undertone0809 - scadEfUr - MthwRobinson - jeffchuber - pranjaldoshi96 - @LukawskiKacper - eavanvalkenburg - gengliangwang - harupy - mspronesti - @tb_tomaz - andersenchen - sam-h-bean - naveentatikonda - dbczumar - navneet1v - @jmorgan - @nicoloboschi ☕ Top JS reviewers: - @afirstenberg - sullivan-sean - ppramesi - jacobrosenthal - mieslep 🐍 Top Python Contributors - leo-gan - cbornet - lkuligin - @tb_tomaz - MthwRobinson - @LukawskiKacper - hemidactylus - @tim_asp - @sjwhitmore - danielchalef - eavanvalkenburg - shibuiwilliam - @pjain7 - chyroc - @HoltSkinner12 - mspronesti - fpingham - @lin_bob57617 - maks-operlejn-ds - @ofermend ☕ Top JS Contributors - ppramesi - afirstenberg - jacobrosenthal - sullivan-sean - @skarard - chasemcdo - @maxthoon - mieslep - @ysnows123 - tyumentsev4 - nigel-daniels - @tb_tomaz - @mlonml - nickscamara - danielchalef - MJDeligan - @zukerpie - ewfian - @RealSwimburger - mfortman11 And special thanks to @tiangolo for inspiring this page with his similar one for @FastAPI! And finally - if you're interested, we'd love to have you open your first contribution! Check out the following guides for more information: 🐍: python.langchain.com/docs/co… ☕️: js.langchain.com/docs/contri…
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Il s'est passé quoi ?
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how is that not right??
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Daniel PETISME retweeted
The most important superpower of a developer is complaining about everybody else's code #vdt24
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Confluent runs tens of thousands of Kafka clusters across 73 regions in 3 clouds - AWS, GCP, and Azure. How do you manage all of that? Here are 13 innovative modifications they did to run Kafka smoothly at that scale.
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