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Technology
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.
Analyzing AWS Audit Logs in Real Time Using Confluent Cloud and Amazon EventBridge
Today, we are excited to announce that Amazon EventBridge has joined the Connect with Confluent program, marking it the third AWS service to become part of this collaborative effort.
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
How to Securely Connect Confluent Cloud with Services on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)
The rise of fully managed cloud services fundamentally changed the technology landscape and introduced benefits like increased flexibility, accelerated deployment, and reduced downtime. Confluent offers a portfolio of fully managed...
How to Create a docker-compose.yml File With Kafka Docker Composer
Learn how to create a docker-compose.yml file for Kafka using Kafka Docker Composer. Set up clusters, perform failover testing, and more with this guide.
How to Process GitHub Data with Kafka Streams
Learn how to track events in a large codebase, GitHub in this example, using Apache Kafka and Kafka Streams.
Best Practices for Confluent Schema Registry
Learn best practices for using Confluent Schema Registry, including understanding subjects and versions, pre-registering schemas, using data contracts, and more.
Build, Connect, and Consume Intelligent Data Pipelines Seamlessly and Securely
We’re excited to share the latest and greatest features on Confluent Cloud, in our first launch of 2024. Learn more about our latest updates including serverless Apache Flink, exciting pricing changes, updates to connectors, and more!
Introducing Tableflow
Learn about our vision for Tableflow, a new feature in private early access that makes it push-button simple to take Apache Kafka® data and feed it directly into your data lake, warehouse, or analytics engine as Apache Iceberg® or Delta Lake tables.
Confluent Cloud for Apache Flink Is Now Generally Available
We're thrilled to announce the general availability of Confluent Cloud for Apache Flink across all three major clouds. This means that you can now experience Kafka and Flink as a unified, enterprise-grade platform to connect and process your data in real time.
Exploring Apache Flink 1.19: Features, Improvements, and More
Check out all the highlights from the Apache Flink® 1.19 release!
Schema Registry Clients in Action
Learn about the bits and bytes of what happens behind the scenes in the Apache Kafka producer and consumer clients when communicating with the Schema Registry and serializing and deserializing messages.
Effortless Stream Processing on Any Cloud – Flink Actions, Terraform Support, and Multi-Cloud Availability
Several key new features have been added to Confluent Cloud for Apache Flink this year including Topic Actions, Terraform support, and expansion into GCP and Azure. Let's take a look at these enhancements and how they empower users to harness the full potential of streaming data.
Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Introducing Apache Kafka 3.7
Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!