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As Kubernetes environments scale, so do the challenges of maintaining application performance, controlling costs, and avoiding resource waste.

Manual tuning and static thresholds often fall short in dynamic, containerized environments.

In this webinar, discover how IBM Turbonomic continuously analyzes real-time demand to automate resourcing decisions across your Kubernetes clusters.

Learn how to:

• Prevent overprovisioning while ensuring application performance
• Automatically scale pods and optimize node utilization and reduce costs
• Build trust in automation with policy-driven actions

We have also addressed the most common Kubernetes optimization questions we hear from users — so you leave with a clear, actionable understanding of how Turbonomic helps you run Kubernetes more efficiently, optimize spend and maximize return on your investments.

Speaker:

Amil Shah

Senior Technical Product Manager, IBM Turbonomic