My teams are #hiring experienced Spark and Flink engineers to join Apple’s Data Platform in Cupertino, Seattle, and Europe. If you're excited about tackling data challenges across Siri, Maps, Apple TV, and more, we’d love to hear from you! You’ll collaborate daily with

We have an open position in our Frameworks Team @ Apple. If you are ready for the next challenge and want to work on frameworks that are used in large scale systems consider to apply... As a plus you will work closely with me as well:

My team is looking for an experienced Flink poweruser or Flink committer for our California location. Feel free to apply/reach out if you would be interested in building our data platform and working directly with internal users at Apple.

4/ I am excited to see where next year leads us and we are certainly starting strong via adding an initial version of Flink application autoscaling: https://t.co/CGNJGJMpDc.

3/ I am incredibly grateful to all folks contributing to @ApacheFlink's #Kubernetes integration and thus driving towards a cloud native @ApacheFlink vision.

2/ The contributors represent a wide range of organizations including @Apple, @awscloud, @AlibabaGroup, @IBM and @datadoghq amongst others. We received outstanding support from the @javaoperatorsdk team, their framework is a key driver of our success.

1/ It is not even a year ago that the @ApacheFlink community has launched its #Kubernetes Operator project and we already had 5 releases. More than 500 commits from 50 contributors and over 75K docker image downloads.

🙋 Requesting feedback from #Scala users of Apache Flink on FLIP-265: Deprecate and remove Scala API support 💡 Check out the proposal at https://t.co/ZKkKRKqxEG ✉️ Mailing list discussion can be found at https://t.co/ueAqyefMTT 🗣 All feedback is welcome!

We just released 1.1.0 of the Flink Kubernetes Operator. https://t.co/qrONt3BeD6 The repository on GitHub hit 100 forks today, check it out in case you have not already:

I will give a talk @BudapestData on June 15, describing the motivation, design, and impl. of @RisingWaveDev, the cloud-native streaming DB we are developing @SingularityData. Thanks for the invite from @MartonBalassi! Talk: https://t.co/6tHALyHFWq Github: https://t.co/JsUi3uaMEr

@ApacheFlink Kubernetes Operator 1.0.0 released! If you are running Flink in the cloud you will absolutely love this :)

The first release of the @ApacheFlink #Kubernetes Operator is now available. Check out the announcement by @GyulaFora:

Our Flink team at @Apple is looking for talented Software Engineers worldwide to work on our @ApacheFlink platform. Please see https://t.co/dnkorZRfIE for more details and do not hesitate to reach out with any questions.

Join the #ApacheFlink community meetup in 15 minutes where you can learn about the brand new Flink #kubernetes operator and the upcoming Flink 1.15 release. https://t.co/h5pTrg4Oko

We are about to release new versions of #Flink for the 1.11.x, 1.12.x, 1.13.x, 1.14.x series upgrading the #log4j dependency. Release candidates are available here: https://t.co/4AnNbGtccz They only change the log4j dependency and are otherwise identical the previous versions.

If you want to learn what new features were added to @ApacheFlink in the past year and what you can do with them, here are my slides "A Year in Flink: The most important changes of the last versions". #FlinkForward global 2021. https://t.co/BEKowZLFja

Check out some of the coolest features in Cloudera Streaming Analytics 1.4

Our next step on bringing #FlinkSQL to a wider audience at @cloudera by @kennygorman: https://t.co/5sNH4HHn1O

We are thrilled to announce the acquisition of @EventadorLabs, the platform to simplify #streamprocessing. Learn more about how this will accelerate the delivery of Cloudera DataFlow as a cloud-native self-service experience in CDP. https://t.co/W7ktfSzEuG #HarnessRealTime #Flink

📢 Session Announcement: Join @PaaSDev from @cloudera on October 22 to learn about the FLaNK stack combining @ApacheFlink, @ApacheNiFi, @apachekafka, @apacheKudu suited for any streaming or #IoT use cases. https://t.co/FEhbpFySNH #streamprocesing #EdgeAI