How many software engineers does it take to screw in a lightbulb? None, because they’re getting all the energy and mojo they need from machine learning.

While the overwhelming task of Kubernetes resource optimization is prone to zapping our energy, developers and software engineers are getting an energy infusion thanks to machine learning and its ability to automatically identify optimal configurations for applications deployed in Kubernetes.

StormForge is among the first companies to develop machine learning for cloud native resource and performance optimization and will share with attendees how these technologies are helping to make sense of the structured yet overwhelming data available to organizations today.

Brian Likosar (aka “Liko”) will go a level deeper than that to share ways teams can apply machine learning to data generated by their Kubernetes system to identify suboptimal configurations at a container-level. He’ll also cover CPU throttling for optimal performance under various load scenarios.

No light bulbs required.

Register today for the virtual P99 Conference at, and join the talk Thursday, October 20 at 3:30 pm on Stage 1.