Kubernetes: A guide for IT pros and business leaders
Kubernetes enables the deployment, scaling, and management of containerized applications. This ebook explains why the ecosystem matters, ways to take advantage of it, and how it may contribute to the future of the cloud.
From the ebook:
Kubernetes is not exactly under-the-radar technology. Kubecon, the main event for Kubernetes in the US, was sold out. People such as Sarah Wells, technical director for operations and reliability at The Financial Times, say its phenomenal growth is a sign that 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 run 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.
From big data to flexible data
It’s no secret: Big data as we know it is dead. Not that data volume, variety, velocity, and veracity are showing any signs of breaking down—on the contrary. It’s just that the realities of the underlying technology have changed, and with them, the architectures and the economics are changing, too.
Hadoop, for example, which has been the poster child of the big data era, was built in a world with different fundamental assumptions from the world we live in today. A world in which network latency was a major bottleneck and cloud storage was not a competitive option. In that world, most data was on-premises, and making sure data was co-located with compute to avoid having to move them around made a lot of sense.
Today, network latency is less an issue for cloud providers, and there are more of them to choose from, so we are talking about multi-cloud. Furthermore, for an array of reasons, many organizations are also deploying their own private clouds on premises, so we are talking about hybrid cloud. We are facing a situation in which data is still big, but it also needs to be flexible.