Ever wondered if you’re doing this whole cloud thing “right?” Rest assured—there’s no cookie-cutter way to operate your cloud model of choice. But there certainly are best practices that can make your experience with private cloud all the more agile, simple, and cost-effective.
We’ve spoken to several businesses across various industries to find out how they’re using private cloud, and we’ve gathered 7 of the most important, game-changing tips for maximizing the performance of your private cloud.
1. Create a private cloud priority list. Sounds like a no-brainer? It is, but the key to operating your private cloud right is to know what you need and what you should implement. Ask yourself:
- What features and capabilities do I need?
- How do I intend on using private cloud?
- Do I intend on migrating to hybrid cloud in the future?
After all, private cloud is among the most customizable cloud architectures there is, so don’t settle for a one-size-fits-all solution—build a cloud that works for you, not the other way around.
2. Build your private cloud with hyperconverged infrastructure at the core. Skyscrapers are only as strong as their foundation. Your cake will only survive its journey to the Cake Boss championships with a proper base. And your private cloud will run better on an agile, software-defined hyperconverged core.
Hyperconvergence is the key to cloud simplicity, making management a breeze and workload expandability a reality. You can try it for yourself in our free, 4-hour Test Drive!
3. Migrate workloads and applications bit by bit. If you’re currently using public cloud and wish to move onto a private cloud, this tip is for you. And if you didn’t know, IDC found that approximately 80% of businesses are moving their applications off of public cloud and back to private cloud. And within 2 years, about 50% of applicationlications will live in a private cloud.
This approach lets you track how each workload performs on one architecture over another, letting you make informed decisions about where to run your workloads in the future.
4. Implement optimization and automation tools. When you think “automation,” you might think of it as a must-have for more complex cloud environments such as hybrid or multi-cloud. But it’s excellent to have in a private cloud environment as well. (Why wouldn’t you want to make running your cloud easier?)
How and where you decide to use automation is up to you. From automating multi-step manual tasks to setting up automated security standards, automating your cloud can be tailored to suit your needs. Ready to see what that looks like in real life? This free Xi Beam trial is a great place to start.
5. Standardize your private cloud operations. This is another great practice to implement, especially if you have plans to migrate to a hybrid cloud model down the road. In a nutshell, you’ll be far better equipped to deliver and manage your cloud resources.
Nutanix Calm is one way to start streamlining application development and management.
6. Adopt a central management plane. Simplicity is the key with cloud computing. Being able to centrally monitor your infrastructure and cloud(s) can help reduce complex operations down to a single click, give complete, granular visibility into your IT environment no matter where you are, and give your developers the freedom to provision their resources when needed.
Many of the organizations we spoke with have chosen Nutanix Prism to simplify and streamline their workloads.
7. Use a single OS to create a hybrid cloud. Hybrid cloud doesn’t have to be complex (seriously). But the key is to use a single cloud operating system (OS) to manage your resources across your private and public cloud environments. Nutanix Enterprise Cloud OS is one way to go!
More Tips to Try!
There’s only so much we can cover here. Find out what other businesses are doing with private cloud in the free How to Succeed with Private Cloud eBook. In it, you’ll see real-world challenges before choosing private cloud, examples of successful implementations, and tips to take home (or to your datacenter).
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