Why Testing is a Crucial Part Of Any Cloud Migration Project
January 5, 2017
Testing before you migrate a production workload to a public cloud is a key component of any cloud migration project. Besides the actual migration plan, you’ve got to verify what instance types, regions, and cloud providers best meet your needs, while also verifying things like load, performance, compatibility and cost analysis. Unfortunately, testing all of this can be prohibitively time consuming or complicated which has meant that sometimes it doesn’t (or can’t) get done as thoroughly as needed. The impact of this could mean your public cloud environment isn’t fully maximized, or your cloud project can’t even move forward because cycles cannot be found for proper testing.
That’s why so many IT professionals are realizing that an ideal cloud migration solution must help you dramatically simplify your testing phase in addition to the migration phase. Using a single, comprehensive solution for both testing and actual migration saves you time throughout the entire project, and increase your success rate.
When picking your cloud migration solution, here are some key capabilities that can help you optimize:
- Test in minutes (not hours or days). Velostrata uniquely decouples compute from storage, which makes it possible to move compute to the cloud, keep storage on-prem, while maintaining application state and performance. With Velostrata, you can clone (or migrate) any workload into the public cloud within minutes (instead of hours, days, or weeks). So, you can test your apps in the cloud without waiting for huge data sets to be migrated first, and without disturbing your production workload on-premises.
- Test with stateless or stateful workloads. Not all migrations (or apps) are created equal, which means you’ll likely have different testing requirements across your app portfolio. In some cases, you’ll want to perform development testing with data that is disposed of at the end. For that, Velostrata lets you clone an instance to the cloud (with or without existing data) with the intent that you’ll test, analyze, and then terminate.On the other hand, sometimes you’ll need to test with actual production data, and that means any changes made will need to persist afterwards. For that, you can use Velostrata to migrate a workload to the cloud while all your data remains synchronized. Once you’re done testing, migrate that workload back on-premises where all your production data is 100% persistent with any changes that were made during testing in the cloud.
- Test in parallel by easily switching between providers and regions. Another challenge testing in multiple configurations is to see what actually works best. Velostrata lets you clone or migrate a workload in different configurations and/or regions and/or cloud providers within minutes, with just a few clicks, so you decrease your testing time but increase your thoroughness, too. It gives you the power to test multiple scenarios in parallel, which saves time and speed time to market.
- Test more affordably by leveraging spot instances. Amazon Web Services (AWS) sells Spot instances which are typically between 50-60% less expensive than on-demand rates (although savings can sometimes be as high as 90%). Spot Instances don’t typically run for a set amount of time, which makes them unideal for production environments. Essentially, Amazon can terminate them at any point (if they need to reclaim the capacity or if another user outbids you). which opens a lot of risk for stateful workloads, as a sudden termination could mean data ends up lost.Velostrata, however, decouples compute from storage, and in fact maintains data changes within the cloud for write-back to on-prem when needed. That means Velostrata can move a workload to a spot instance in the cloud within minutes, regardless of image size while maintaining data changes if desired. This makes spot instances and Velostrata an ideal solution to help you take advantage of Spot pricing without sacrificing data persistence.
Velostrata gives you power to investigate what public cloud architecture will work best, but without the time and monetary costs traditionally associated with testing. Plus, you can quickly transition from testing to migration because you’ll be using the same solution for both phases of their cloud journey.