The Apache Flink community has been pushing hard into the agentic AI space, positioning stream processing as the foundation for production AI agents. Conference talks…
Discover how Confluent and Google Cloud power agentic systems with real-time data streaming, A2A/MCP protocols, and AI-driven workflows at scale. This post first appeared on…
Modern enterprise applications increasingly require orchestration of long-running workflows that span multiple services across different geographical regions. Traditional HTTP-based orchestration approaches, whilst familiar, introduce significant…
Big news for developers! AWS Lambda’s Kafka Event Source Mapping now supports Confluent Schema Registry. This update simplifies building event-driven applications. This post first appeared…
Cross-cloud Cluster Linking enables fully managed, offset-preserving Kafka replication across clouds for disaster recovery, data sharing, and analytics. This post first appeared on Read More
Quickly troubleshoot Kafka Streams apps with new health metrics in Confluent Cloud. Spot bottlenecks, monitor RocksDB, and reduce MTTR—no extra code. This post first appeared…
At Current 2025 in New Orleans (Oct 29–30), developers, data engineers, operators, architects & tech execs unlock real-time data + AI insights. This post first…
Learn how Confluent is reinforcing trust, including bolstering its security posture and compliance capabilities and providing detailed, transparent documentation. This post first appeared on Read…
Learn how Confluent Tableflow and a shift-left approach solve data lake governance challenges—improving quality, trust, and analytics readiness. This post first appeared on Read More
Every Kafka engineer has experienced that stomach-dropping moment: the business requirements have changed, and your carefully designed stream topology needs a complete overhaul—but you’re already…
See how Confluent and its partner ecosystem are making it easier to use real-time data streaming as the fuel for your agentic AI and advanced…
When you’re processing 3.5 terabytes of data per minute and handling 73 billion messages across 30+ Kafka clusters, every architectural decision compounds into millions in…
Learn how to scale Kafka Streams applications to handle massive throughput with partitioning, scaling strategies, tuning, and monitoring. This post first appeared on Read More
Choose the right Apache Kafka® multi-cluster replication pattern and run an audit-ready DR/HA program with lag SLOs, drills, and drift control. This post first appeared…
Learn how to handle data transformation, schema evolution, and security in Kafka Connect with best practices for consistency, enrichment, and format conversions. This post first…