Kubernetes won the orchestration wars, but dev and ops teams still pull in opposite directions. HPE's David Estes thinks AI may ease the strain.

OpenAI scaled on Kubernetes years before ChatGPT. The CNCF's Jonathan Bryce says AI and open source now feed each other, and agents are speeding it up.

Agents should hand engineers a fix, the company says, and teams should still check the work.

Bit Cloud’s Ran Mizrahi explores how reusing reviewed code can give the next AI-built app a head start, with less new code for developers to review.

CloudBees' board told new CEO Mo Plassnig not to stay the course. His answer: an AI-first reinvention built for a flood of machine-generated code.

Enterprises won't risk their data, and AI labs won't hand over weights. Vast Data's DataEnclave aims to solve the trust problem in both directions.

Harness field CTO Martin Reynolds on why AI coding agents are flooding teams with pull requests, and why some enterprises are letting more code through.

Learn how smarter trace sampling strategies can reduce observability costs, prevent data overload and help SREs troubleshoot system failures faster.

Bhumik Patel of Arm and Mo Farhat of Google to talk the CPU, and why it's getting more important, not less, as AI shifts from chatbots to agents.

Leaders at Chronosphere, a Palo Alto Networks company, say building an in-house AI SRE helps teams map systems, investigate incidents, and support reliable software delivery at scale.