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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.
Apache Kafka 4.2.0 is here. Explore production-ready share groups, Kafka Streams rebalance GA, new metrics, security enhancements, and upgrade details.
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.
Learn how to design future-proof architectures for hybrid and multicloud environments, balancing portability, resilience, and long-term flexibility and using Kafka to implement continuous availability.
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.
Streaming data integration supports enriched, reusable, canonical streams that can be transformed, shared ,or replicated to different destinations, not just one.
Learn the difference between cloud API keys and resource-specific API keys in Confluent Cloud, plus best practices for service accounts and production security.
Learn how the Confluent Trust Center helps security and compliance teams accelerate due diligence, simplify audits, and gain confidence through transparency.
A global investment bank and Confluent used Apache Kafka to deliver sub-5ms p99 end-to-end latency with strict durability. Through disciplined architecture, monitoring, and tuning, they scaled from 100k to 1.6M msgs/s (<5KB), preserving order and transparent tail latency.
ZooKeeper is going away. Learn why hosted Kafka migrations are accelerating—and how Confluent Cloud simplifies your move with KRaft and KCP.
Learn how to build a custom Kafka connector, which is an essential skill for anyone working with Apache Kafka® in real-time data streaming environments with a wide variety of data sources and sinks.
People often imagine that to provide a cloud service for a piece of open source software is a simple matter of packaging up the open source and putting it in […]
Manual schema management in Apache Kafka® leads to rising costs, compatibility risks, and engineering overhead. See how Confluent lowers your total cost of ownership for Kafka with Schema Registry and more.
Apache Kafka® cluster rebalancing seems routine, but it drives hidden costs in time, resources, and cloud spend. Learn how Confluent helps reduce your Kafka total cost of ownership.
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.