Announcing Kafka Connect: Building large-scale low-latency data pipelines
For a long time, a substantial portion of data processing that companies did ran as big batch jobs — CSV files dumped out of databases, log files collected at the
For a long time, a substantial portion of data processing that companies did ran as big batch jobs — CSV files dumped out of databases, log files collected at the
Welcome to the February 2016 edition of Log Compaction, a monthly digest of highlights in the Apache Kafka and stream processing community. Got a newsworthy item? Let us know.
TLS, Kerberos, SASL, and Authorizer in Apache Kafka 0.9 – Enabling New Encryption, Authorization, and Authentication Features Apache Kafka is frequently used to store critical data making it one of
When Kafka was originally created, it shipped with a Scala producer and consumer client. Over time we came to realize many of the limitations of these APIs. For example, we
When we released Apache Kafka 0.9.0.0, we talked about all of the big new features we added: the new consumer, Kafka Connect, security features, and much more. What we didn’t
Happy 2016! Wishing you a wonderful, highly scalable, and very reliable year. Log Compaction is a monthly digest of highlights in the Apache Kafka and stream processing community. Got a newsworthy item? Let us
Apache Kafka is a high-throughput distributed message system that is being adopted by hundreds of companies to manage their real-time data. Companies use Kafka for many applications (real time stream
We are very excited to announce the general availability of Confluent Platform 2.0. For organizations that want to build a streaming data pipeline around Apache Kafka, Confluent Platform is the
I am pleased to announce the availability of the 0.9 release of Apache Kafka. This release has been in the works for several months with contributions from the community and
The Apache Kafka community just concluded its busiest month ever. As we are preparing for the upcoming release of Kafka 0.9.0.0, the community worked together to close a record number
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