실시간 움직이는 데이터가 가져다 줄 가치, Data in Motion Tour에서 확인하세요!
This month the community has been focused on the upcoming release of Apache Kafka 0.10.1.0. Led by the fearless release manager, Jason Gustafson, we voted on a release plan, cut branches and started voting on the first release candidate. Please contribute to the community by downloading the release candidate, testing it out and letting everyone know how it went. If no serious bugs are found, we are hoping to finalize the release by mid-October.
In addition to the vote, we gave our website a quick facelift, contribution of Derrick Or. We appreciated the feedback from the community and issues were quickly addressed.
And as usual, there are several very lively discussions in the community:
In addition to ongoing Kafka improvements, there are other interesting news and blogs:
If you are interested in learning all about streaming data platforms, Confluent has released a 6-part online talk series focusing on Apache Kafka. You can view the recordings for the first two talks in the series by Jay Kreps and Jun Rao, and register for the upcoming sessions at https://www.confluent.io/apache-kafka-talk-series.
Companies are looking to optimize cloud and tech spend, and being incredibly thoughtful about which priorities get assigned precious engineering and operations resources. “Build vs. Buy” is being taken seriously again. And if we’re honest, this probably makes sense. There is a lot to optimize.
Operating Kafka at scale can consume your cloud spend and engineering time. And operating everyday tasks like scaling or deploying new clusters can be complex and require dedicated engineers. This post focuses on how Confluent Cloud is 1) Resource Efficient, 2) Fully Managed, and 3) Complete.