When Google designed Kubernetes and then turned the container project over to the Cloud Native Computing Foundation, it could have simply walked away. Yet, as recent announcements indicate, Google Inc. has every intention to stay involved and continue to offer new enhancements.

This was amply demonstrated with Google’s recent release of Kubeflow and Stackdriver Kubernetes Monitoring, open source tools designed to bring machine learning to containers and then allow developers to track how their applications are doing.

“There’s zero customers who want to be all-in on one cloud,” said David Aronchick (pictured, left), product manager of cloud artificial intelligence and co-founder of Kubeflow at Google. “The only way to solve any problem is with these open standards that work wherever people are. That’s very much core to our philosophy.”

Aronchick spoke with John Furrier (@furrier), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the KubeCon CloudNativeCon EU event in Copenhagen, Denmark. He was joined by JD Velásquez (pictured, right), product manager at Google, and they discussed the two new releases for Kubernetes and Google’s philosophical approach to the-open source community. (* Disclosure below.)

Standards and a great workflow

The concept behind Kubeflow is to allow machine learning users to attach existing jobs inside a cluster without needing a lot of further adoption work. “While the model, TensorFlow or PyTorch or whatever, gets a little bit of the attention, 95 percent of the time is spent in all the other elements of the pipeline,” Aronchick explained. “What we want to do with Kubeflow is give everyone a standard way to interact with all of those components and give them a great workflow for doing so.”

Stackdriver was conceived as a way to help developers with the monitoring and troubleshooting of Kubernetes applications. The beta release provides a more visible way to track metrics, events and logs across the container ecosystem.

“It allows you to really inspect your Kubernetes environment regardless of the role and where your deployment is running it,” Velásquez said. “It really is about observability.”

Much of Google’s work in the open-source community has been the result of in-house tools originally developed to manage its own resources. Kubernetes sprang from an internal container orchestration solution the company relied on to manage large cloud applications.

“We’ve been very good at providing innovative services without compromising reliability,” Velásquez said. “At Google, we really believe in contributing and helping grow communities.”

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the KubeCon CloudNativeCon EU 2018 event. (* Disclosure: Some segments are sponsored by the Cloud Native Computing Foundation to support editorial coverage. Neither the CNCF nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE