Running data on Kubernetes isn’t always easy, but the good news is that it’s well worth the hard work.

In this post, we delve into Kubernetes – the back-end tool that powers the systems our research team interacts with.

The Data on Kubernetes Community was founded in June 2020 to bring practitioners together to solve the challenges of working with data on Kubernetes.

Today's data centers remain the nerve center of the enterprise, and automation is powering new levels of agility and digital transformation. The definition of Kubernetes keeps changing because as ...

Also: Kubernetes etcd data project joins CNCF ZDNet spoke with two of the trailblazers on the transition from big data to flexible data, DataStax and Hortonworks.

DoK Day at KubeCon North America 2023 schedule released; talks include case studies and techniques for running data on Kubernetes.

Kubernetes has increasingly becomel part of the fabric that data scientists need to run optimal applications in the most powerful ways.

The problem with cloud-native data science platforms built on Kubernetes, they decided, was that they don’t really solve the problems that data scientists actually need solved. Yes, data scientists ...

Data storage giant NetApp Inc. is delivering on its vision of Kubernetes application portability with the launch of a new service in general availability today. The company is billing NetApp Astra ...

Pepperdata thinks Kubernetes' orchestration capabilities can be a key component in helping enterprise big data efforts.

Kubernetes may be a complex piece of software that can be difficult to monitor and manage. But the benefits of running applications in the popular container orchestration system appear to outweigh the ...