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Confluent Blog
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
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...
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
New in Confluent Intelligence: Real-Time Context Engine Upgrade, New Model Support, ML Functions, and More
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.
Apache Mesos, Apache Kafka and Kafka Streams for Highly Scalable Microservices
Apache Kafka and Apache Mesos are very well-known and successful Apache projects. A lot has happened in these projects since Confluent’s last blog post on the topic in July 2015. […]
Kafka Summit London 2018 Agenda Announced
Good news! The agenda and speakers for the first-ever Kafka Summit in London have been announced. If you’ve been to one of the Summits in New York or San Francisco, […]
KSQL December Release: Streaming SQL for Apache Kafka
We are very excited to announce the December release of KSQL, the streaming SQL engine for Apache Kafka®! As we announced in the November release blog, we are releasing KSQL […]
The Blog Post on Monitoring an Apache Kafka Deployment to End Most Blog Posts
Confluent Platform is the central nervous system for a business, uniting your organization around a Kafka-based single source of truth. Apache Kafka® has been in production at thousands of companies […]
Enabling Exactly-Once in Kafka Streams
This blog post is the third and last in a series about the exactly-once semantics for Apache Kafka®. See Exactly-once Semantics are Possible: Here’s How Kafka Does it for the […]
Monitoring Apache Kafka with Confluent Control Center Video Tutorials
Mission critical applications built on Kafka need a robust and Kafka-specific monitoring solution that is performant, scalable, durable, highly available, and secure. Confluent Control Center helps monitor your Kafka deployments […]
Handling GDPR with Apache Kafka: How does a log forget?
If you follow the press around Apache Kafka you’ll probably know it’s pretty good at tracking and retaining messages, but sometimes removing messages is important too. GDPR is a good […]
Toward a Functional Programming Analogy for Microservices
Microservices are all the rage these days. Passionate, thoughtful advocates and detractors present compelling arguments for and against the architectural style. Usually, these arguments boil down to whether organizations should adopt, refrain from, or abandon microservices...
Introducing Confluent Platform 4.0
I am very excited to announce the general availability of Confluent Platform 4.0, the enterprise distribution of Apache Kafka 1.0. This release includes a number of significant improvements, including enhancements […]
Confluent Cloud: Enterprise-Ready, Hosted Apache Kafka is Here!
Today, 40,000 people in Las Vegas are thinking about the Cloud—not because the weather is dry in Nevada, but because AWS re:Invent is in full force. Today is a perfect […]
November Update of KSQL Developer Preview Available
Update: KSQL is now available as a component of the Confluent Platform. Today we are releasing the first update to KSQL since its launch as a Developer Preview at Kafka […]
Transactions in Apache Kafka
Note For the latest, check out Building Systems Using Transactions in Apache Kafka on Confluent Developer.
Building a Microservices Ecosystem with Kafka Streams and KSQL
Today, we invariably operate in ecosystems: groups of applications and services which together work towards some higher level business goal. When we make these systems event-driven they come with a […]
Taking KSQL for a Spin Using Real-time Device Data
We are pleased to invite Tom Underhill to join us as a guest blogger. Tom is Head of R&D at Rittman Mead, a data and analytics company who specialise in […]