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On-Demand Webinar

Eliminating the Hidden Costs of Kubernetes with ML-powered Optimization

45 mins

This webinar is best for:

  • DevOps teams using Kubernetes
  • Engineering and product teams working on cloud-native apps
  • CloudOps and FinOps leaders

Running your cloud-native apps efficiently at scale is not easy. Over-provisioning is the norm as you get started with cloud-native, but cloud waste becomes a significant problem as usage grows. Having over-provisioned and idle cloud resources is like throwing money down the drain, but Kubernetes complexity makes it impossible to optimize applications through trial-and-error.

Fortunately, machine learning is well-suited to solving this type of optimization problem. In this webinar you’ll learn how a scientific approach of rapid experimentation with machine learning can be used to optimize Kubernetes apps before deployment, ensuring the best performance at the lowest possible cost.

What you’ll learn:

  • How to identify (and eliminate) the hidden costs of running applications on Kubernetes.
  • How to automatically tune applications using performance testing and ML-powered optimization.
  • How to make continuous optimization a regular part of your release process.

Featured Speakers:

Rich Bentley

Rich Bentley
Senior Director of Product Marketing

Brad Ascar

Brad Ascar
Senior Solution Architect