As containerization continues to explode, the need for a container orchestration and management platform has exploded with it. Kubernetes has become that de facto leader for orchestration and management.
There are three main factors that need to be considered before attempting a DIY Kubernetes implementation: Deployment Time, Ability to carry out on-going monitoring and troubleshooting.
There are several critical elements that must be addressed in order to achieve, and sustain, production-ready HA clusters. Each of these steps has a real financial impact in terms of your staff’s labor time for both initial implementation and ongoing maintenance.
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Transcript of Video:
Jeremy: [00:18] As containerization continues to explode, the need for a container orchestration and management platform has exploded with it. Kubernetes has become that defacto leader for orchestration and management. What we're seeing from our customers is, as they enter the Kubernetes space to solve this problem, is they really want to start by doing it themselves. They want to get their hands dirty and figure out how they can solve their own problems.
Jeremy: [00:43] But they run into a number of pain points before they come and talk to Platform9. The first is around deployment times. To put up a production-grade, highly available cluster can take three to five weeks and eat up a lot of resource time that could be focusing on other things.
Jeremy: [00:59] The second is, once you have that deployment up and running, how do you monitor it? What are the things you're looking for? How do you even know what you're looking for? You have to go out and surf the internet, and see what other people have run into in the Kubernetes space. And that takes up a lot of time, and then a lot of really unique search queries.
Jeremy: [01:16] Once you have that monitoring in place, typically the last thing people are asking for is, "Great, I found a problem. How do I solve it?" There's no guaranteed run book out there that says, "When you see problem A, do steps B." You have to go and spend a significant more amount of time surfing the web.
Jeremy: [01:33] The reasons our customers are telling us they choose Platform9 is because we distill away a lot of that operational complexity. The deployment times go from three to five weeks to a matter of hours. Platform9 provides that 24/7 monitoring and troubleshooting support. And, it allows their developers to focus on what their developers do best, building and running their applications. It also allows them to focus on the ability to scale rather than keeping their eyes on a single, individual cluster.
Jeremy: [02:04 ] If you've already started down the do-it-yourself path with Kubernetes, and are facing difficulties, Platform9 can help you too. We've helped a number of our customers transition from a DIY implementation to a Platform9 managed Kubernetes environment.