Nouveau dans Confluent Cloud : rendre les données et les pipelines accessibles pour un streaming prêt pour l’IA | En savoir plus
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
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 AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot
In the previous article, we saw how syslog data can be easily streamed into Apache Kafka® and filtered in real time with KSQL. In this article, we’re going to see how […]
Syslog is one of those ubiquitous standards on which much of modern computing runs. Built into operating systems such as Linux, it’s also commonplace in networking and IoT devices like […]
Life would be simple if data lived in one place: one single solitary database to rule them all. Anything that needed to be joined to anything could be with a […]
One of the most frequent questions and topics that I see come up on community resources such as StackOverflow, the Confluent Platform mailing list, and the Confluent Community Slack group, […]
Adam Warski is one of the co-founders of SoftwareMill, where he codes mainly using Scala and other interesting technologies. He is involved in open-source projects, such as sttp, MacWire, Quicklens, […]
We are pleased to announce the release of KSQL v0.5, aka the February 2018 release of KSQL. This release is focused on bug fixes and as well as performance and stability […]
In this blog post, we first look at stream processing examples using KSQL that show how companies are using Apache Kafka® to grow their business and to analyze data in […]
In this post I’m going to show what streaming ETL looks like in practice. We’re replacing batch extracts with event streams, and batch transformation with in-flight transformation. But first, a […]
We are pleased to announce the release of KSQL 0.4, aka the January 2018 release of KSQL. As usual, this release is a mix of new features as well as […]
If you adopt a streaming platform such as Apache Kafka, one of the most important questions to answer is: what topics are you going to use? In particular, if you […]
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. […]
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 […]
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 […]
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 […]