With awesome @ApacheFlink and @Decodableco Engineers #Current24 #streamingselfies @gunnarmorling @rmetzger_ @thweise @hpgrahsl

Noice, a preview release of #Flink 2.0 due at the end of this month! Bring it on 🥳! #Current24

I will be speaking at #Current in 30 minutes about "Fixing the hard bits of event-driven apps with #Kafka and #Restate". If you ever wrote an event driven app, struggled with head-of-the-line waiting, poison records, Dual-Weite problems, or observability, this talk is for you!

Next up in Ballroom F at #Current24. @elkhandad from Apple.

I need to share some news both exciting and sad: After 12 years of building what became @ApacheFlink and @VervericaData, I decided that it is time to pass the scepter to the next generation and to move on to new endeavors. I put down some thoughts here:

#ApacheFlink 1.14.3 is released. This release includes 163 bug fixes and minor improvements including another upgrade of Log4j (to 2.17.1). Thanks to @thweise and @MartijnVisser82 for managing the release. Release Notes:

Quotes from the @flinkforward expert panel with @esammer, @vkalavri, Kym Hines, Aniket Mokashi, @StephanEwen, and @snntrable. #flinkforward

Tomorrow I will present "A Year in @ApacheFlink: The most important changes of the last versions" @FlinkForward Global 2021. Register to meet the Flink community, learn about the latest developments, discuss the future direction and see what others do :-) https://t.co/VWNdePgARK

With the new HybridSource @ApacheFlink can now easily bridge the gap between historic and live data. Using this source, you can now easily bootstrap state from cold storage and then continue with live data. Kudos to @thweise! For more details see https://t.co/k3ndqGFVBK.

✨ Session Highlight ✨ Learn how to jumpstart large window computations with @ApacheFlink and Hybrid Source with @thweise from @Apple at #flinkforward Global 2021. Register for free: https://t.co/a2R3lkvYia

🚨New on the Flink blog: Part 1 of a deep-dive into the evolution of #ApacheFlink’s fault tolerance mechanism, recapping the very basics of checkpointing and the motivation to introduce unaligned checkpoints in Flink 1.11. https://t.co/03UtjXw8gk

Interesting upcoming feature for @ApacheFlink 1.12: "Native Kubernetes HA for Flink". This means you can run a highly available Flink on K8s without a Zookeeper dependency: https://t.co/BsdFjXlcYK

0/ I've been taking a closer look at @apache_pulsar and how it relates to @apachekafka. In case you are curious, here are ten of my findings:

🐋 Check out my recent blog post on "The State of @ApacheFlink on Docker": https://t.co/6tjQUQD5UB

#apachehudi has graduated to a TLP. We would like to thank the @TheASF and it's community at large for nurturing us through this process! #opensource #datalake #bigdata

The Apache Software Foundation Announces Apache Hudi as a Top-Level Project https://t.co/lAW7BhF5Lq #Apache #OpenSource #innovation #community #BigData #DataLake #StreamProcessing #Hadoop #Hudi

Apache Beam version 2.21.0 is now available! ✨ Blog post 👉 https://t.co/4wTP3m5ADN

We are happy to announce the next hudi release. 0.5.2 comes with tons of bug fixes and new improvements around indexing/usability. Check it out! #apachehudi #data #spark #datalake https://t.co/NTmL5iVA6U

How does the #ApacheFlink runner work on @ApacheBeam and why you would use both frameworks together? This new post has the answers: https://t.co/AylFkqkPQF #streamprocessing

Xinyu Liu takes us through the process of building a scalable stream bus using Kafka and Golang in his new blog post - take a look!