Do you wish you could deploy and scale Kubernetes natively and more easily? Well, maybe you can

We'll show you how to access persistent data across any hybrid environment

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Webcast Everybody may be ‘doing’ Kubernetes on some level these days, but it’s arguable whether everybody’s doing it properly.

Orchestrating containers isn’t as simple as just switching Kubernetes on and instantly automating your entire ecosystem. As with much of the reality of ‘shiny new things’ in IT, a considered approach has to be taken to get the most out of bringing Kubernetes into your business environment.

The aim with a Kubernetes installation that’s really working for you is being able to achieve common, persistent access to, and orchestration of, your data. This means going beyond the basic notion of ‘automating things’, and should look more like a considerable revamp of how your data network actually functions.

What you could be seeking is eliminating data silos completely.

It’s entirely possible to reach a point where a Kubernetes storage infrastructure delivers self-service access to data, is simple to use and is fully automated, nurturing DevOps environments in positive ways.

Deployable in minutes on existing infrastructure and making data instantly available in both on-premise and cloud environments without outages, it’s a way of doing Kubernetes that uses abstraction to maximise freedom while optimising against cost and performance.

Achieving this dream is what we’ll be tackling in the next RegCast. At 9am PDT (12pm EDT) on October 20, 2020, The Register’s Tim Phillips will be joined by Douglas Fallstrom from storage infrastructure experts Hammerspace and Edwin Thornhill from virtual infrastructure pros Veristor to show you the future.

Looking at ways to abstract data completely from the corporate infrastructure and virtualize it, with instant availability for any type of cloud or cluster, is the order of the day. Hammerspace will even be bringing a live demo along to back up these assertions.

The demo will help clearly lay out how a properly-optimised Kubernetes environment can instantly make data available across geo-dispersed clusters, create storage classes across those clusters to automatically adjust to what’s available in the ecosystem, and how this kind of setup can improve live data mobility and network load balancing by automation.

Sign up for the webcast, brought to you by Hammerspace.

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