Operations | Monitoring | ITSM | DevOps | Cloud

The debate about whether AI can write production code is over. Companies are handing work to fleets of agents, and for many, they write most of the code that ships to production. The next challenge is everything that happens once an entire engineering organization runs this way, at full speed. Teams that generate code 10x faster still review it at human speed, and that mismatch is now the constraint. Code ownership is also becoming an issue, as developers learn to trust agentic processes a little too much. When an agent breaks production, who is responsible?

Not all open source projects gain traction -- but a few become movements. In this talk, Nariman, Founder of Puter, shares what actually separates the two, based on his experience of growing Puter to 40K+ stars, gaining hundreds of contributors, and over 500K installations. He breaks down how to gain momentum from a project's foundation, attract contributors, and design projects that capture the imagination.

Learn how to deploy Canonical Managed Kubeflow on Microsoft Azure step by step. Canonical's Managed Kubeflow on Azure gives enterprise and startup AI teams a fully operational, open source MLOps platform in under an hour. It is managed 24/7 by Canonical's engineers. This means you can focus entirely on building models rather than running infrastructure.

When a new cybersecurity vulnerability is discovered, it gets a snazzy name, media coverage, and major accolades for the researcher. But what about the person who stays up late writing, testing, and deploying the patch to fix it?