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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.
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 […]
Apache Kafka Goes 1.0
It has been seven years since we first set out to create the distributed streaming platform we know now as Apache Kafka®. Born initially as a highly scalable messaging system, […]
The London Kafka Summit 2018 Call for Papers is Open!
After three successful Kafka Summits in the United States in 2016 and 2017, we decided the Kafka community was ready to have a Summit in London. And based on the […]
Running Kafka Streams Applications in AWS
This guest blog post is the second in a series about the use of Apache Kafka’s Streams API by Zalando, Europe’s largest online fashion retailer. See Ranking Websites in Real-time […]
Ranking Websites in Real-time with Apache Kafka’s Streams API
This article is by Hunter Kelly, Technical Architect at Zalando. Hunter enjoys using technology, and in particular machine learning, to solve difficult problems. He’s a graduate of the University of […]
Predicting Flight Arrivals with the Apache Kafka Streams API
Kafka Streams makes it easy to write scalable, fault-tolerant, and real-time production apps and microservices. This post builds upon a previous post that covered scalable machine learning with Apache Kafka, […]