Introducing Streamhouse: the open data architecture for AI | Learn More
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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のAI開発者向けツールが一般提供(GA)されました。これには、オープンソースのローカルMCP Server、マネージドのMCP Server、およびAgent Skillsが含まれます。これらを組み合わせることで、AIコーディングアシスタントはお客様のストリーミングプラットフォームに直接アクセスできるようになります。つまり、プラットフォーム上で処理を実行するためのツールと、正しく構築するためのドメイン知識が提供されました。
Building data pipelines isn’t always straightforward. The gap between the shiny “hello world” examples of demos and the gritty reality of messy data and imperfect formats is sometimes all too […]
Software engineering memes are in vogue, and nothing is more fashionable than joking about how complicated distributed systems can be. Despite the ribbing, many people adopt them. Why? Distributed systems […]
“Persistent” queries have historically formed the basis of ksqlDB applications, which continuously transform, enrich, aggregate, materialize, and join your Apache Kafka® data using a familiar SQL interface. ksqlDB continuously executes […]
Apache Kafka® is a distributed real-time processing platform that allows for the ingestion of huge volumes of data. ksqlDB is part of the Kafka ecosystem and offers a SQL-like language […]
It’s important to be able to limit memory consumption of a running service. Use too much, and your application will crash and need to restart. If this happens too often, […]
All around the world, companies are asking the same question: What is happening right now? We are inundated with pieces of data that have a fragment of the answer. But […]
Stream processing applications, including streaming ETL pipelines, materialized caches, and event-driven microservices, are made easy with ksqlDB. Until recently, your options for interacting with ksqlDB were limited to its command-line […]
The ksqlDB team is pleased to announce ksqlDB 0.12.0. This release continues to improve upon the usability of ksqlDB and aims to reduce administration time. Highlights include query upgrades, which […]
ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka®. Every day, we answer many questions about the project, but here’s a […]
Twitter, one of the most popular social media platforms today, is well known for its ever-changing environment—user behaviors evolve quickly; trends are dynamic and versatile; and special and emergent events […]
Tools for automated testing of Kafka Streams applications have been available to developers ever since the technology’s genesis. Although these tools are very useful in practice, this blog post will […]
When operating cloud infrastructure, “time is money” is more than a cliché—it is interpreted literally as every processing second stacks up on the monthly bill. ksqlDB strives to reduce these […]
We’re pleased to announce ksqlDB 0.11.0, which takes a big step forward toward improved production stability. This is becoming increasingly important as companies like Bolt and PushOwl use ksqlDB for […]
ksqlDB 0.10 includes significant changes and improvements to how keys are handled. This is part of a series of enhancements that began with support for non-VARCHAR keys and will ultimately […]