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The pandemic has sped up the need for businesses, big and small, to migrate to the cloud. This pressure means that businesses are open to high-risk situations like server failure, system downtime, or database errors.
A move like migrating from on-premise to the cloud requires careful planning - this is where a testing strategy can bring a cost-effective, secure, and agile migration.
To dampen the workload, Quality Assurance (QA) teams are using test automation to make sure the core task of moving data has been done properly.
What to expect in this post:
What is cloud migration testing?
The challenges of testing your cloud migration strategy
How codeless automated testing can secure a safe migration at speed
When migrating to the cloud, enormous amounts of data are being moved from one system to another.
If you're moving from a legacy system to a modern application, business definitions have probably changed. For this reason, boring tasks like making sure data fields are populated, or that a receiving system has been plugged together correctly are crucial.
The smallest mistake, if left undiscovered, can cause major breakdowns down the line. That’s why testing is so important. It makes sure that everything has moved to the right location, and that it works as it should.
There are different types of cloud migrations, all varying in difficulty. The size of a company and the systems in use will affect the time it takes to migrate.
Below are the four types of cloud migration:
When you’re moving system, like with the latter three, a migration is different than if you were re-hosting. Re-hosting is more simple because the data can be “lifted and shifted”.
When you’re moving from one system to another and the context changes, things get more complicated. Business definitions change. Functional validation makes sure that when the data is moved, everything works as expected.
The types of tests you might perform include the following:
When migrating to another system, business definitions change. Teams need a strategy in place to ensure the data works as it should.
Example: migrating customer data from on-premise to the cloud
To demonstrate the challenges that migration teams encounter when testing their strategy, we’re using the example of migrating customer data from one system to another.
While this is an oversimplified example, the point remains. When an enterprise moves its data to the cloud, a lot is at risk.
The consequences can be severe. In 2019, Facebook was down for 14 hours. It cost them around $90 million.
“cloud migration is not the goal. It’s about quality assurance and continuity.” - LINKIT
Cloud migration is a high risk, high cost, and resource-intensive process that, with the introduction of codeless automation, can bring quality assurance and the continuity of services.
Learn more about why automation is an essential part of your cloud migration strategy in our partner webinar with LINKIT.
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