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As enterprises scale up their cloud native environments for day 2 operations, cloud waste and inefficiency often become a significant problem. The business impacts of inefficiency include cloud costs that are too high, risk of performance and availability issues that affect user experience, and pulling developers away from innovating to spend time on manual tuning of Kubernetes applications. In this session, we provide an overview of the StormForge platform for Kubernetes optimization, and how it improves efficiency by applying machine learning for both non-production experimentation and scenario analysis as well as production optimization leveraging observability data already being collected. Presented by Rich Bentley, VP of Product Marketing, StormForge.
Personnel: Rich Bentley
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