Agents Are Just Microservices With Memory
Multi-agent systems aren't new architecture—they're microservices evolved. Varun Jasti of AWS explains why Apache Kafka is the natural backbone for agent-to-agent communication at scale.
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Modern Software Development For Today's Systems & Applications
New IDE-Like Studio for Kafka: Lenses 6.2 Features & Demo
Discover the powerful new IDE-like Studio in Lenses 6.2. Learn how to manage your Kafka clusters, discover topics across multiple environments, and perform side-by-side comparisons of dev and staging data. We also dive into the new ways to interact with streaming data, including the CLI, VS Code plugin, and the new MCP server for AI agents and chatbots. Whether you're a developer troubleshooting schema mismatches or a data engineer managing complex Kafka estates, the new Lenses Studio provides the tools you need to stay in context and work efficiently.
Securing AI Agents with MCP
Is your AI agent one misconfigured server away from a production data leak? In this deep dive, Jeremy from Lenses explores the critical security architecture of the Model Context Protocol (MCP) and how it’s evolving to protect the future of Agentic Engineering.
Building the Agentic Enterprise: How AWS and Confluent Power Real-Time AI | Life Is But A Stream
Varun Jasti of AWS explains why real-time data—not better models—is the true unlock for enterprise AI. Most enterprises don't need to build AI models from scratch—they need to put AI to work. That requires a data foundation that is real-time, reliable, and ready to serve intelligent systems at scale.
AI Success Isn't About Better Models
Most companies aren't trying to build AI—they're trying to use it. Varun Jasti of AWS breaks down why accessible data, not model sophistication, determines whether AI creates real business value.
Dynamic Kafka ACLs: Implementing Identity-Aware Policies with Kong Event Gateway
Modern Kafka deployments struggle with a familiar tension. You want fine-grained access control per client, per team, and even per request. However, traditional ACLs force you into static, cluster-level configurations that are brittle, hard to scale, and painful to maintain. Administrators are often forced to manage massive, hardcoded lists of topics and users. But what if you could dynamically craft these ACLs using identity context?
Lenses VS Code Plugin & Kafka Migration
Discover how the new Lenses 6.2 VS Code plugin revolutionizes the way developers interact with Kafka and streaming data infrastructure. In this deep-dive tutorial, we explore how to manage your entire streaming ecosystem directly from your IDE, eliminating context switching and boosting productivity.
UK business leaders say they're forced to act at "AI speed"
New Confluent research reveals that 9 in 10 leaders say decisions are speeding up, with AI raising the pressure for instant calls and rushed decisions at the top of UK businesses.
Don't trust AI agents on Kafka. Unless you have OAuth 2.1. (Live)
Every engineering team is onboarding AI agents. Most are doing it without a governance model - static API keys, no audit trail, no way to revoke access if something goes wrong. Join us on April 15th as we go live on the topic everyone is talking about but few are solving: how to govern AI agent access to streaming data.
How to give AI Agents secure access to systems (with remote MCP servers)
AI agents need access to your systems. But are you sure they're accessing them securely? In this video, Tun @DataSurfer breaks down the way most teams give AI agents access today: static API keys, shared credentials, no audit trail. It's a disaster waiting to happen, but what exactly can teams do about it?