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Connect, Process, and Share Trusted Data Faster Than Ever: Kora Engine, Data Quality Rules, and More
Announcing the latest updates to Confluent’s cloud-native data streaming platform: Kora Engine, Data Quality Rules, Custom Connectors, Streaming Sharing, and more.
Kora: The Cloud Native Engine for Apache Kafka
Today I’d like to give a tour of the internals of Confluent’s Apache Kafka® service. Powering this is a next-generation engine, Kora. Kora is a cloud data service that serves up the Kafka protocol for our thousands of customers and their tens of thousands of clusters.
Confluent + Immerok: Cloud Native Kafka Meets Cloud Native Flink
I'm excited to share our intent to acquire Immerok! Together, we’ll build a cloud-native service for Apache Flink that delivers the same simplicity, security, and scalability that you expect from Confluent for Kafka.
Making Apache Kafka Elastic With Apache Mesos
This post has been written in collaboration with Derrick Harris from Mesosphere and Joe Stein, a Kafka committer. For an updated version of this article, please see Apache Mesos, Apache Kafka and […]
Hands-Free Kafka Replication: A Lesson in Operational Simplicity
Building operational simplicity into distributed systems, especially for nuanced behaviors, is somewhat of an art and often best achieved after gathering production experience. Apache Kafka‘s popularity can be attributed in […]
The Value of Apache Kafka in Big Data Ecosystem
This is a repost of a recent article that I wrote for ODBMS. In the last few years, there has been significant growth in the adoption of Apache Kafka. Current […]
Using logs to build a solid data infrastructure (or: why dual writes are a bad idea)
This is an edited transcript of a talk I gave at the Craft Conference 2015. The video and slides are also available.
How I Learned to Stop Worrying and Love the Schema
The rise in schema-free and document-oriented databases has led some to question the value and necessity of schemas. Schemas, in particular those following the relational model, can seem too restrictive, […]
Compatibility Testing For Apache Kafka
Testing is one of the hardest parts of building reliable distributed systems. Kafka has long had a set of system tests that cover distributed operation but this is an area […]
Bottled Water: Real-time integration of PostgreSQL and Kafka
Summary: Confluent is starting to explore the integration of databases with event streams. As part of the first step in this exploration, Martin Kleppmann has made a new open source […]
Real-time full-text search with Luwak and Samza
This is an edited transcript of a talk given by Alan Woodward and Martin Kleppmann at FOSDEM 2015. Traditionally, search works like this: you have a large corpus of documents, […]
A Comprehensive REST Proxy for Kafka
As part of Confluent Platform 1.0 released about a month ago, we included a new Kafka REST Proxy to allow more flexibility for developers and to significantly broaden the number […]
Apache Kafka 0.8.2.1 release
The Apache Kafka community just announced the 0.8.2.1 release. This is a a bug fix release and fixes 4 critical issues reported in the 0.8.2.0 release (the full list of […]
How to Choose the Number of Topics/Partitions in a Kafka Cluster?
Note For the latest, check out the blog posts Apache Kafka® Made Simple: A First Glimpse of a Kafka Without ZooKeeper and Apache Kafka Supports 200K Partitions Per Cluster.
Turning the database inside-out with Apache Samza
This is an edited and expanded transcript of a talk I gave at Strange Loop 2014. The video recording (embedded below) has been watched over 8,000 times. For those of […]
Why Avro for Kafka Data?
If you are getting started with Kafka one thing you’ll need to do is pick a data format. The most important thing to do is be consistent across your usage. […]
Announcing the Confluent Platform 1.0
We are very excited to announce general availability of Confluent Platform 1.0, a stream data platform powered by Apache Kafka, that enables high-throughput, scalable, reliable and low latency stream data […]