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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...
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
When Apache 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, […]
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 […]
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 […]