Neu in Confluent Cloud: Daten & Pipelines für KI-fähiges Streaming zugänglich machen | Mehr erfahren
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.
Last week we announced that we changed the license of some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. We are really grateful to […]
For the first 12 days of December, Confluent shared a daily tech tip related to managing Apache Kafka® in the cloud. These tips make it easier for you to get […]
We’re changing the license for some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. This new license allows you to freely download, modify, and […]
The phrase time value of data has been used to demonstrate that the value of captured data diminishes by time. This means that the sooner the data is captured, analyzed […]
It might seem a little strange, being the holiday season and still technically 2018, for me to be talking 2019 Kafka Summit events. But as you may already know, the […]
The principle of least privilege dictates that each user and application will have the minimal privileges required to do their job. When applied to Apache Kafka® and its Streams API, […]
Imagine: Disaster strikes—catastrophic hardware failure, software failure, power outage, denial of service attack or some other event causes one datacenter with an Apache Kafka® cluster to completely fail. Yet Kafka […]
Only a few years ago, when someone said they had a “cloud-first strategy,” you knew exactly who their new preferred vendor was. These days, however, the story is a lot […]
Machine learning and the Apache Kafka® ecosystem are a great combination for training and deploying analytic models at scale. I had previously discussed potential use cases and architectures for machine […]
Kafka Connect is part of Apache Kafka®, providing streaming integration between data stores and Kafka. For data engineers, it just requires JSON configuration files to use. There are connectors for […]
In Kafka, a topic can have multiple partitions to which records are distributed. Partitions are the unit of parallelism. In general, more partitions leads to higher throughput. However, there are […]
Choosing the right messaging system during your architectural planning is always a challenge, yet one of the most important considerations to nail. As a developer, I write applications daily that […]
Fraud detection is a topic applicable to many industries, including banking and financial sectors, insurance, government agencies and law enforcement and more. Fraud attempts have seen a drastic increase in […]
Were you there last week? For as big as that event felt, it’s hard to believe it’s only the third annual Kafka Summit San Francisco. But the view was beautiful […]