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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.
How to Better Manage Apache Kafka by Creating Kafka Messages from within Control Center
Managing Apache Kafka® clusters can be tricky sometimes. To solve this problem, Confluent Control Center helps you easily manage and monitor your clusters and interact with other Confluent components, such […]
Introducing Health+ with Confluent Platform 6.2
For a modern, software-defined business, a platform for data in motion is critical to connecting every part of a vast digital architecture across an organization to harness the flow of […]
Continuous Deployment of Confluent with Ansible Tower
When self-managing Confluent, provisioning and configuring Apache Kafka® deployments along with the rest of the Confluent components involves many hurdles, such as managing infrastructure, installing software, and configuring security. And […]
Introducing Cluster Authorization Using RBAC, Audit Logs, and BYOK for Enterprise-Grade Security
When it comes to launching your next app with data in motion, few things pose the same risk to going live as meeting requirements for data security and compliance. Doing […]
Confluent CLI Launches Exciting New Features and an Intuitive UI
With so many technologies in the modern development ecosystem, a common complaint is having to go through the mental gymnastics of adopting new products and keeping up with ever-expanding feature […]
Introducing Confluent for Kubernetes
We are excited to announce that Confluent for Kubernetes is generally available! Today, we are enabling our customers to realize many of the benefits of our cloud service with the […]
Announcing the MongoDB Atlas Sink and Source Connectors in Confluent Cloud
Today, Confluent is announcing the general availability (GA) of the fully managed MongoDB Atlas Source and MongoDB Atlas Sink Connectors within Confluent Cloud. Now, with just a few simple clicks, […]
Monitoring Your Event Streams: Tutorial for Observability Into Apache Kafka Clients
Why should you monitor your Apache Kafka® client applications? Apart from the usual reasons for monitoring any application, such as ensuring uptime SLAs, there are a few specific reasons for […]
Building the Confluent UI with React Hooks – Benefits and Lessons Learned
Updating a fundamental paradigm in your React app can be as easy as search and replace, or at other times, as difficult as convincing your entire frontend engineering to buy […]
Setting Up Secure Networking in Confluent with Azure Private Link
We’re happy to announce that Confluent Cloud, our cloud-native service for Apache Kafka®, now supports Azure Private Link for secure network connectivity, in addition to the existing Azure Virtual Network […]
Monitoring Your Event Streams: Integrating Confluent with Prometheus and Grafana
Self-managing a highly scalable distributed system with Apache Kafka® at its core is not an easy feat. That’s why operators prefer tooling such as Confluent Control Center for administering and […]
How to Run Confluent on Windows in Minutes
I previously showed how to install and set up Apache Kafka® on Windows in minutes by using the Windows Subsystem for Linux 2 (WSL 2). From there, it’s only a […]
Integrating Azure and Confluent: Real-Time Search Powered by Azure Cache for Redis and Spring Cloud
Self-managing a distributed system like Apache Kafka®, along with building and operating Kafka connectors, is complex and resource intensive. It requires significant Kafka skills and expertise in the development and […]
Integrating Azure and Confluent: Ingesting Data to Azure Cosmos DB through Apache Kafka
Building cross-platform solutions enables organizations to leverage technology driven by real-time data and enabled with both highly available services and low-latency databases hosted on Microsoft Azure. Azure Cosmos DB is […]