[Blog] New in Confluent Cloud: Queues for Kafka, new migration tooling, & more | Read Now
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...
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
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 Cloud’s Q1 2026 launch delivers message queuing capabilities via Queues for Kafka, simplified migration with KCP, new AI capabilities with Confluent Intelligence, and enhanced scalability and cost control features like fetch-from-follower and client quotas.
Master MongoDB Atlas Connectors on Confluent Cloud. Go beyond basic setup with architectural best practices for Source and Sink. Learn to ensure idempotency, handle CDC events, tune performance, and configure precision filtering for resilient, high-velocity data pipelines.
Kafka client failover is hard. This post proposes a gateway‑orchestrated pattern: use Confluent Cloud Gateway plus Cluster Linking to reroute traffic, reverse replication, and enable one‑click failover/failback with minimal RTO.
Learn the difference between cloud API keys and resource-specific API keys in Confluent Cloud, plus best practices for service accounts and production security.
ZooKeeper is going away. Learn why hosted Kafka migrations are accelerating—and how Confluent Cloud simplifies your move with KRaft and KCP.
Audit logging in Confluent Cloud can seem boring—until you need precise insights in a crisis. Learn how to easily filter audit logs for your serverless Apache Kafka® environment and improve your data security.
Discover how Confluent is improving Kafka Connect with better observability, security, migrations, and connector flexibility—making data integration easier to scale.
Unlock real-time context for AI with Confluent’s Real-Time Context Engine. Evaluate, process, and serve trustworthy context continuously in Confluent Cloud.
Transform real-time Kafka data into governed, AI-ready Delta Lake tables with Confluent Tableflow and Databricks Unity Catalog. Simplify pipelines, ensure governance, and unlock real-time analytics and AI.
Explore updates from Confluent Cloud’s Q4 2025 release, including new capabilities and availability for Streaming Agents, new Real-Time Context Engine, and more.
Tableflow on Confluent Cloud now supports Delta Lake, Unity Catalog, and Azure (EA) for secure, governed, real-time analytics from Apache Kafka data - no ETL or custom pipelines required.
Confluent prioritizes resilience for mission-critical apps, ensuring high availability with 99.99% uptime SLA. We also provide a number of capabilities for monitoring and observability within your own systems.