
Why agentic AI pilots stall before production
Why the demo worked but the rollout didn’t—and what you need to successfully scale agents

A new storage engine built from the ground up for Kafka-API compatibility with Kernel bypass technologies for 10x lower tail latencies.
On Dec 1st, I gave a talk at Performance Summit titled "Redpanda: A new storage engine built from the ground up for Kafka-API compatibility with Kernel bypass technologies for 10x lower tail latencies."
The talk covers how we built a new storage engine from scratch using a thread per core architecture for predictable tail latencies. We dive deep into the challenges of adapting a well known protocol (Kafka-API) on top of this new storage engine and the performance gains of optimizing for modern hardware.
Here for your viewing pleasure is the video of that talk:
Sign up for our Community Slack (here!) and engage with us on Twitter via @redpandadata or personally at @emaxerrno

Why the demo worked but the rollout didn’t—and what you need to successfully scale agents

Good intentions don’t work. Mechanisms do.

What two security operators learned from a decade of building at petabyte scale
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