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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.
Event modeling has always been a pain point in organizations. From figuring out the standard format of your schemas, processing said data models effectively, and finally testing before you deploy […]
Note: Please see the blog post Introducing Cluster RBAC, Audit Logs, and BYOK for Enterprise-Grade Security for the latest updates.
With the release of Confluent Platform 6.0, we officially made Tiered Storage generally available. At launch, we supported two major cloud-specific object stores: Amazon S3 and Google Cloud Storage. Today, […]
It’s 3:00 am and PagerDuty keeps firing you alerts about your application being down. You need to figure out what the issue is, if it’s impacting users, and resolve it […]
The cloud opens up exciting new opportunities for information gathering, analysis, and sharing that can make every organization’s products and services better. Thanks to the cloud and its decentralized nature, […]
Apache Kafka® scales well. A Kafka cluster can grow to tens or hundreds of brokers and easily sustain tens of GB per second of read and write traffic. But scaling […]
With the release of Confluent Platform 6.0 comes a preview of Confluent Cluster Linking available to self-managed customers and in Confluent Cloud for our early access partners. Cluster Linking is […]
Each month, we’ve announced a set of Confluent features organized around what we think are the key foundational traits of cloud-native data systems as part of Project Metamorphosis. Data systems […]
The promise of cloud computing is simplicity, speed, and cost savings. But what about workloads that can’t move to the cloud? Are they stuck using expensive legacy tooling and practices? […]
Since the MongoDB Atlas source and sink became available in Confluent Cloud, we’ve received many questions around how to set up these connectors in a secure environment. By default, MongoDB […]
Near-real-time insights have become a de facto requirement for Azure use cases involving scalable log analytics, time series analytics, and IoT/telemetry analytics. Azure Data Explorer (also called Kusto) is the […]
Are you looking for a way to run AWS services on premises in your own datacenter? I am excited to share today that we have completed validation of support for […]
Confluent Operator allows you to deploy and manage Confluent Platform as a cloud-native, stateful container application on Kubernetes and OpenShift. The automation provided by Kubernetes, Operator, and Helm greatly simplifies […]
Hybrid cloud architecture and accelerated cloud migrations are becoming the norm rather than the exception, as our increasingly digital world introduces certain challenges along the way, including modernizing existing application/architecture, […]