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Current 2025 featured two days of engineers figuring out how streaming tech needs to evolve in an AI-driven world. Gone are the days when talks focused on basic Kafka setup. This year, everyone was tackling complex integrations, developer happiness, and practical AI implementation. Still, the event drew a range of people, with plenty of new faces stopping by the Lenses.io booth – clear evidence that Kafka and data streaming continue to attract newcomers.

We’re excited to announce the General Availability (GA) of the Confluent fully managed V2 connector for Apache Kafka for Azure Cosmos DB! This release marks a major milestone in our mission to simplify real-time data streaming from and to Azure Cosmos DB using Apache Kafka. The V2 connector is now production-ready and available directly from the Confluent Cloud connector catalog.

Just as some problems are too big for one person to solve, some tasks are too complex for a single artificial intelligence (AI) agent to handle. Instead, the best approach is to decompose problems into smaller, specialized units so that multiple agents can work together as a team. This is the foundation of a multi-agent system—networks of agents, each with a specific role, collaborating to solve larger problems. When building a multi-agent system, you need a way to coordinate how agents interact.