Can a platform conceived to support running ephemeral applications become the operating system of choice for running data workloads in the multi-cloud and hybrid cloud era? Looks like it, but we’re not just there yet.

Kubernetes is not exactly under the radar technology. Kubecon, the main event for Kubernetes in the US, has been sold out for a while. People such as Sarah Wells, technical director for Operations and Reliability at The Financial Times, comment on its phenomenal growth as a sign the technology is “crossing the chasm” to reach the early adopters.

The key driver behind Kubernetes popularity is its ability to help the people whose job is to make sure applications are seamlessly deployed and ran on premises and in the cloud. Kubernetes is evolving from supporting simple, stateless applications, to sophisticated data-driven applications, and data platform providers are taking note.

ZDNet spoke with two of the trailblazers on the transition from big data to flexible data, DataStax and Hortonworks. Their insights help us map where we are on this journey.

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