Cloud migration (CM) term speaks for itself: it refers to the processes of moving, migrating, relocating of the whole app (or a project—in the broader meaning) from on-site, local, bare metal servers and storage to cloud-based providers. They can be public (AWS, GCP, etc.), private (like IBM Cloud Private, VPC), or combine deployment models, both public and private, in a hybrid cloud.
There are different types of cloud migration. CM can be used for description of cloud infrastructure migration to another cloud. Companies might change cloud providers occasionally to save resources and increase stability.
By 2022, over 90% of companies worldwide will be relying on a mix of on-site/dedicated private clouds, multiple public clouds, and legacy platforms to meet their infrastructure needs. IDC Report
Another trend of a multicloud — using few cloud providers (like AWS + GCP) and storage services at once—based on hybrid clusters is popular because of increased fault-tolerance and availability, reduced servers' latency, and a better user experience. In short, that's all about the various cloud migration types.
Here are some of the most common intricacies businesses encounter before or even during the cloud migration process. We prepared them in the following list of advice and "things to consider":
The big three cloud providers (AWS, GCP, Azure) are following the “secured-by-design” concept and include a range of services such as:
All these concerns can affect or even prevent the start of cloud migration projects, but the biggest fish in the lake is still up ahead. Let's proceed to the biggest challenge of CM and how Dysnix typically overcomes it within the optimal average cost of cloud migration.
Don't expect random work from random vendors to magically work together.Pieter Hintjens, Confessions of a Necromancer
Unplanned and unsupported migration can take too long and affect the business process, as the case studies of the best cloud migration companies tell us. Time is always the most valuable resource, and downtime because of migration will grow your bounce rate, and it'll affect your income. To avoid it, use the key for successful cloud migration: plan every step of migration for each data layer you've already had:
The most efficient method of cloud data migration without loss of information and downtime is to set up the replication from the old environment to the new. If you have a high load on your database, it's better to use synchronized replication for keeping your cloud database identical to your main one. It'll slow down the database response for clients a bit, but you'll be sure that none of the transactions were lost in the old environment after the start of migration.
Aside from self-hosted solutions, it's typical to use Google Cloud Storage or AWS S3 for Object Storage tasks. In this case, nonstop migration require some changes in the code of your app:
As a result, we'll have two identical and updated storage. After all files are checked in the cloud storage, the function of saving to the old storage is turned off.
After migration of the existing data and updating it is over—and the app is replicated in the new environment and tested there—it's high time to test everything with real traffic. But how can we do it with DNS TTL that doesn't allow us to switch all the customers simultaneously? Or what if you get into trouble over things that weren't covered by tests and need to switch back quickly without any discomfort for your client?
At Dysnix, we use the "divide and conquer" principle for such risky procedures and create step-by-step action lists to minimize any complications in the implementation of cloud migration technologies: