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You are here: Home / Videos / Using Machine Learning for Kubernetes Optimization: StormForge Product Demo

Using Machine Learning for Kubernetes Optimization: StormForge Product Demo



Cloud Field Day 13



This video is part of the appearance, “StormForge Presents at Cloud Field Day 13“. It was recorded as part of Cloud Field Day 13 at 8:00-9:00 on February 18, 2022.


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The StormForge platform uses patent-pending machine learning to automate the process of achieving and maintaining efficiency of cloud native environments running on Kubernetes. As the only solution that combines experimentation-based, non-production optimization with observation-based optimization in production, StormForge helps DevOps teams to incorporate optimization as a systematic, continuous process that closes the loop between production and non- production and turns observability into actionability. In this session, we walk through the StormForge platform, showing you how easy it is to tackle the problems of cloud waste, inefficient resource utilization, performance and availability risk, and time-consuming manual application tuning. Presented by Patrick Tavares, Sr. Solutions Architect, StormForge.

Personnel: Patrick Tavares


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