In this episode, Valentina Rodriguez Sosa explains how @kubefloworg.bsky.social's model registry ensures version control, audibility, and centralized metadata tracking for AI workflows – simplifying your pipeline from training to production.

Full episode https://buff.ly/4h98Pmk

Meshery is a cloud-native management plane simplifying Kubernetes cluster and service mesh operations. Visualize, design, and optimize your infrastructure with over 320 integrations.

Full episode 👉 https://buff.ly/3DDKaaL

Ahmed Bebars, Principal Engineer at @nytimes.com, highlights KEDA as a game-changer in event-driven scaling for Kubernetes.

We discussed his work with Kubernetes, the CNCF community, and his role in organizing KCD New York.

Full interview www.youtube.com/watch?v=0RTj...

How can KEDA simplify AI workloads?

In our latest episode, Jan Wozniak & @JorgeTurrado share how KEDA enables:
🔹 Dynamic scaling for AI model training
🔹 Optimized GPU resource management
🔹 Future possibilities in predictive scaling

Full episode 👉 https://buff.ly/4fDQD2S

Curious about contributing to the CNCF or running stateful workloads on Kubernetes?

In this episode, @eminalemdar.bsky.social and Alkin Tezuysal share tips on joining the #CloudNative community, insights on Vitess, and why local CNCF chapters matter.

Full episode https://buff.ly/4gr1j6k

Why should enterprises care about Harbor?

✅ Full control over container registries
✅ On-premises deployments for enhanced security
✅ Simplified image distribution across regions

And more from @orlinvasilev.bsky.social
Full episode 👉 https://buff.ly/4irhbqy

Gabriele Bartolini shares insights on what it takes for a project to enter the CNCF landscape: community-driven development, strong end-user adoption, and solving real cloud-native problems.

Full episode 👉 https://buff.ly/4idrcYq

As AI evolves, Kubernetes stands at the core of this revolution by powering the infra behind it.

lachie.bsky.social, a product manager at Microsoft, shares how Kubernetes powers platforms like OpenAI's ChatGPT and the infrastructure needs emerging for future AI workloads.

#CNCF #KubeCon