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Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
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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 […]
Apache Kafka has a data structure called the “request purgatory”. The purgatory holds any request that hasn’t yet met its criteria to succeed but also hasn’t yet resulted in an […]
The amount of work that got done by the community in the last month is truly impressive, especially considering how many conferences took place in September. Let’s take a look at the highlights: The […]
I ran into the schema-management problem while working with my second Hadoop customer. Until then, there was one true database and the database was responsible for managing schemas and pretty […]
Many of today’s most popular Big Data software projects such as Apache Hadoop and Apache Kafka are managed under the umbrella of the Apache Software Foundation. Hence a formidable way […]
I am very excited that LinkedIn’s deployment of Apache Kafka has surpassed 1.1 trillion (yes, trillion with a “t”, and 4 commas) messages per day. This is the largest deployment of Apache […]
September is the start of the fall conference season. Between Strata + Hadoop World New York and ApacheCon: Big Data Europe, there is plenty to keep us busy learning.
This post was jointly written by Neha Narkhede, original co-creator of Apache Kafka, and Flavio Junqueira, co-creator of Apache ZooKeeper. Many distributed systems that we build and use currently rely on dependencies like […]
There has been much renewed interest in using log-centric architectures to scale distributed systems that provide efficient durability and high availability. In this approach, a collection of distributed servers can […]
Welcome to the first edition of Log Compaction, a monthly digest of highlights in the Apache Kafka and stream processing community. Today’s edition are the highlights from July and early […]
One of the things I realised while doing research for my book is that contemporary software engineering still has a lot to learn from the 1970s. As we’re in such […]
Apache Kafka is widely used to enable a number of data intensive operations from collecting log data for analysis to acting as a storage layer for large scale real-time stream […]
Previously, I posted about the Kafka REST Proxy from Confluent, which provides easy access to a Kafka cluster from any language. That post focused on the motivation, low-level examples, and […]