Confluent Releases Managed V2 Connector for Apache Kafka® for Azure Cosmos DB
Learn how to deliver real-time event streams to Azure Cosmos DB for low-latency apps, live analytics, and seamless cloud-native integration. This post first appeared on…
Read MoreConfluent Releases Managed V2 Connector for Apache Kafka® for Azure Cosmos DB
New in Confluent Cloud: Bringing Together the Best of Batch and Stream Processing
CC Q2 2025 adds Tableflow support for Delta Lake tables, Flink Snapshot Queries, maximum eCKU configuration for elastically scaling clusters, and more! This post first…
Introducing the Next Generation of Control Center for Confluent Platform: Enhanced UX, Faster Performance, and Unparalleled Scale
The Next Generation of Control Center for Confluent Platform delivers more metrics, scalability, and 5x faster start-up time to Confluent Platform. This post first appeared…
Report: Why IT Leaders Are Prioritizing Data Streaming Platforms
Discover key insights from the 2025 Data Streaming Report, including why IT leaders are prioritizing data streaming platforms to unlock the true value of their…
5 Steps to Building With AI: What It Can Do Reliably (and How to Start)
Use the R.I.C.E. framework to evaluate and launch your first AI project. Learn how to balance reach, impact, confidence, and effort for better outcomes. This…
“Let’s Connect Async:” How To Build a Better Asynchronous Culture
Explore strategies to foster effective async collaboration—reduce burnout, boost productivity, and make distributed work actually work. This post first appeared on Read More
Building Bulletproof Disaster Recovery for Apache Kafka: A Field-Tested Architecture
Read MoreBuilding Bulletproof Disaster Recovery for Apache Kafka: A Field-Tested ArchitectureHow to run Apache Kafka across multiple Kubernetes clusters
In the Kafka ecosystem, resilience isn’t just a buzzword—it’s the difference between seamless operations and catastrophic failure. The OSO engineers have seen this firsthand across…
How to Build a Multi-Agent Orchestrator Using Apache Flink® and Apache Kafka®
Some tasks are too complex for a single AI agent to handle. The best approach is to decompose problems into smaller, specialized units so that…
The Future of AI Agents is Event-Driven
For AI agents to transform enterprises with autonomous problem-solving, adaptive workflows, and scalability, they need event-driven architecture (EDA) powered by streaming data. This post first…
Kafka queues in Apache Kafka 4.0 via Share Groups
For years, Apache Kafka’s consumer group mechanism has been the backbone of how applications consume data from Kafka topics. This model, while powerful and well-suited…
Apache Kafka outbox pattern
In the world of Apache Kafka, a seemingly innocent pattern is quietly corrupting data integrity across countless microservice architectures. It’s called “dual writes,” and it…
Why Google’s Agent2Agent Protocol Needs Apache Kafka®
For agents to operate at enterprise scale, they need a communication backbone that’s resilient, decoupled, and built for many-to-many collaboration. That’s where Apache Kafka comes…
Guide to ZooKeeper to KRaft migration
With Apache Kafka 4.0’s release, the long-awaited future without ZooKeeper has arrived. This version marks a historic milestone – the first release to completely remove…
Building Streaming Data Pipelines, Part 1: Data Exploration With Tableflow
This blog post demonstrates how to use Tableflow to easily transform Kafka topics into queryable Iceberg tables using UK Environment Agency sensor data as a…