Don't trust AI Agents on Kafka. Unless you have OAuth 2.1.
Agents need real access to do real work - but when MCP connects your AI to production systems like Kafka, who controls what it can touch? OAuth 2.1 is emerging as the answer.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How SecurityScorecard Put Confluent at the Center of Everything | Life Is But A Stream
What happens when a security intelligence company decides that data contracts aren't optional, they're the foundation? For SecurityScorecard, that decision changed everything: how teams share data, how pipelines are built, and how quickly a new engineer can ship production-grade work on day one.
How CARIAD Powers Software-Defined Vehicles with Real-Time Data Streaming | Life Is But A Stream
45 million vehicles, 90 markets, 12+ iconic brands, each with its own data silos, standards, and infrastructures. In this episode, Chetan Alatagi, Solution Architect reveals how they transitioned from fragmented legacy ETL silos to a Unified Data Ecosystem—a global data streaming highway that turns vehicle telemetry into real-time value.
Your AI agent is one misconfigured MCP server away from leaking production data.
2025 was vibe coding. 2026 is Agentic Engineering - and the security rules haven't caught up. AI agents now have direct access to your databases, your APIs, your Kafka clusters. The protocol giving them that access is MCP. And most teams have no idea how exposed they are. We are fixing this problem with OAuth 2.1.
Lenses 6.2 - Trusting Agents to build & operate event-driven applications
At Lenses, our goal has always been to help organizations get the most out of their streaming data. We started with visibility into the Apache Kafka, moving up to the part that drives value, the application layer and now the Agentic layer. Lenses 6 moved us into a multi-Kafka world, as increasing, our clients aren’t just running on one type of Kafka anymore, and as sovereign cloud becomes increasingly topical (no pun intended) this is only increasing.
Kafka Migrations Need More Than a Replicator
Jonas Best & Patrick Polster Kafka migrations are one of the riskiest infrastructure projects a platform team can take on. Miss a dependency and a downstream app starts reprocessing events it already handled leading to breaking SLAs and eroding trust with application teams. Migrate without visibility and you risk a major production issue. The instinct is to reach for a replication tool and call it done. But replication is only one piece of the puzzle.
Self-Service Data Replication with K2K - part 1
First in a 3-part series on self-service K2K replication. This post tackles how to give self-service access to deploy K2K without handing over the keys to your Kafka clusters. Lenses developed K2K (Kafka-to-Kafka) to solve two major problems: This includes making it as self-service as possible so developers can deploy without requiring a PhD in MirrorMaker2. One key design requirement: don’t force engineers to manage credentials to authenticate with Kafka.
The Challenges in Productionising MCP Servers
In 2025, Model Context Protocol (MCP) captured the imagination of the AI engineering community. 2026 will be the year that everyone realises their prototypes need to run in production.
UK bosses can't make decisions without AI
New Confluent research reveals that millions of UK bosses have handed off key decision-making responsibilities to AI.
Queues for Apache Kafka Is Here: Your Guide to Getting Started in Confluent
Queues for Kafka is now in General Availability (GA) on Confluent Cloud and is coming soon to Confluent Platform, coinciding with the Apache Kafka 4.2 release. This milestone brings production-ready queue semantics and elastic consumer scaling natively to Kafka through KIP-932, enabling organizations to consolidate their messaging infrastructures while gaining elastic consumer scaling and per-message processing controls. Get started.