So you’ve put your environment into the cloud. You’ve got applications, desktops, data points, and all sorts of users accessing your cloud environment. You were an early adopter and decided to let it all ride on a cloud platform.
Now it’s time to reflect… What if you went down the cloud path and realized it was a mistake? What if you deployed a massive data point or critical application into a cloud data center and it’s not working very well. Now what? How do you pull back and place your environment back into your own data center? Regardless of your organization’s size, migrating critical applications and workloads can be a bit scary. But it doesn’t have to be. Many IT shops have had to move large workloads between public and private cloud instances. In some cases, it simply has to be done, whether it’s for performance reasons or just use-case issues.
In this article from Data Center Knowledge – we look what organizations had to do to move a piece of their platforms from the cloud, back to the data center. Here are some things to consider:
- Finding the issue.
- Planning the migration (always try to do this in a parallel deployment).
- Replicating data points, resources and users.
- Creating the new use case.
- Ensuring workload longevity.
Check out the full article here to understand what it takes to move from a cloud model back to a private data center. Many organizations must make this decision when specific parts of their business simply don’t work well in a public or even hybrid cloud platform.