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'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.
As businesses increasingly rely on Apache Kafka® for mission-critical applications, resiliency becomes non-negotiable. Any unplanned downtime and breaches can result in lost revenue, reputation damage, fines or audits, reduced CSAT, […]
Not all telemetry data is created equal, but Health+ can help you prioritize the most important bits. If you’re reading this blog post, it’s quite likely that you are in […]
Apache Kafka® has a rich ecosystem of hundreds of connectors to get data in and out of Kafka. You probably need multiple connectors in your architecture to support data in […]
Networking is a core technology skill set that affects practitioners at all levels and parts of a business, from developers and users who often benefit from learning foundational networking concepts […]
If you are new to Apache Kafka®, this article is a great way to help you kick-start your first Kafka project and set your data in motion. The best way […]
The Confluent Q3 ‘22 Launch, our latest set of Confluent Cloud product launches, is live and packed full of new features to help your business innovate quickly with real-time data […]
We are pleased to announce the release of Confluent Platform 7.2. With this release, we are further simplifying management tasks for Apache Kafka® operators, providing even more flexible options to […]
In a modern data stack, being able to discover, understand, organize and reuse data is key to obtaining the most value from your data. These requirements have led to the […]
As part of our series walking through how we built Confluent Cloud into a 10x better Apache Kafka® service, we explored how Confluent Cloud uses Intelligent Storage to achieve 10x […]
Understanding how data flows and is transformed across the different layers of an organization’s application and data stack is one of the most challenging governance problems companies are facing today. […]
Dealing with garbage in, garbage out (GIGO) has tormented data teams for generations. Analytics and decision making have suffered from this “garbage”. The new era of machine learning and being […]
Confluent for Kubernetes (CFK) has added declarative API support for Cluster Linking, allowing you to connect public and private cloud environments with a declarative API. Confluent for Kubernetes provides a […]
Real-time data streaming necessitates a new way to think about modern data system design. In the keynote at Kafka Summit London 2022, Confluent CEO Jay Kreps described five principles of […]
An inevitable consequence of rapid business growth is that there will be incidents: even the best, most well-planned systems will begin to fail when you expand them very quickly. The […]