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Join us for an exciting deep dive into the future of Kafka architecture and the intersection of AI with data streaming! Learn how diskless Kafka is revolutionising cloud-native deployments and discover how to interact with your Kafka data using natural language.

Date and Time: ๐Ÿ—“๏ธ Tuesday 4th February, โฐ 18:00 - 20:30 PM ๐Ÿ•˜
Venue: Lacon House, London WC1X 8NL, United Kingdom
Attending Brands: OSO, Aiven, Lenses

Schedule:
18:00: Doors Open
18:00 - 18:30: Food, drinks, networking
18:30 - 19:00: "Diskless Kafka" - Hugh Evans, Aiven
19:00 - 19:30: โ€œHow Lenses MCP Brings AI to Kafka | Talk to Your Data with Claude & MCP" - Tun Shew, Lenses.io
19:30- 20:30pm: Additional Q&A, Networking

๐ŸŽ™๏ธ ~Talk 1~
Talk Title: Diskless Kafka

Summary: Summary: Deep dive into KIP-1150 and the future of diskless Kafka, why diskless matters in cloud-native deployments, rerouting replication to object storage, and how diskless and traditional topics can coexist in one cluster. This talk explores the fundamental architectural shift that allows Kafka to leverage cloud object storage for data persistence, reducing operational complexity and costs while maintaining the performance characteristics that make Kafka the backbone of modern data infrastructure.

๐Ÿ—ฃ๏ธ Speaker 1: Hugh Evans is at Aiven

๐ŸŽ™๏ธ ~Talk 2~
Talk Title: How Lenses MCP Brings AI to Kafka | Talk to Your Data with Claude & MCP

Summary: Lenses MCP Server acts as a bridge between AI models (Claude via MCP) and Apache Kafka, enabling natural-language interaction with Kafka data and governance workflows. This talk demonstrates how teams can leverage conversational AI to query, explore, and manage their Kafka infrastructure without writing code. We'll explore real-world use cases where natural language interfaces simplify complex data operations, making Kafka more accessible to a broader range of users while maintaining enterprise-grade governance and security.

๐Ÿ—ฃ๏ธ Speaker 1: Tun Shew, Lenses.io

Related topics

Events in London, GB
Apache Kafka
Stream Processing
Open Source
Apache Flink

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