Slim.ai Applies AI to Optimize Containers Before Being Deployed>
Container Journal – Mike Vizard
Fresh off raising $6.6 million in seed funding, Slim.ai this week launched a namesake DevOps platform that makes use of machine learning algorithms to resize and optimize containers before they are deployed in a production environment.

The artificial intelligence (AI) as a cloud service by Slim.ai will first analyze the contents of a container, then remove unnecessary code and, when appropriate, reorganize the code and replace the container with another one that has been optimally configured for a production environment, says Amaral. The resulting container is typically anywhere from 10 to 30 times smaller than the original, he adds.

Slim.ai achieves that goal by first analyzing and comprehending application composition and behavior to determine how any set of containers are constructed and run. The platform then employs a combination of run-time and static container analysis capabilities and optimization engines to construct a more efficient container runtime.
Link: https://containerjournal.com/topics/container-ecosystems/slim-ai-applies-ai-to-optimize-containers-before-being-deployed/