AI-driven Kubernetes Scaling with Kubeflow & KEDA

Talk

Can AI make Kubernetes smarter? 🚀 Absolutely!

Traditional scaling reacts to CPU and memory, but what if you could predict spikes before they happen? This talk reveals how AI-powered predictive scaling with Kubeflow & KEDA can cut costs, prevent downtime, and optimize workloads.

🔥 What you’ll learn:

  1. How AI models predict traffic surges & optimize Kubernetes scaling.
  2. Automating event-driven scaling with KEDA for real-time response.
  3. Building MLOps pipelines in Kubeflow to improve scaling accuracy.
  4. Real-world case studies on cost savings & performance gains.
  5. Live demo: AI + Kubernetes in action!

Join us to supercharge your Kubernetes scaling with AI and MLOps! 🚀

Speaker

vinod-kumar-nair

Vinod Kumar Nair

   
Vinod Kumar Nair is a seasoned cloud and DevOps architect with extensive experience in Kubernetes, AWS, and cloud-native technologies. A passionate speaker and open-source contributor, he is a CNCF ...