Key Considerations for a Successful Cloud Migration

Change is never easy, but cloud migration is no longer just an option for progressive organizations—it’s a necessity. Cloud adoption is growing rapidly—and increasingly workloads are being shifted from the data center to clouds. Ensuring a successful cloud migration begins with a full understanding of the various workloads that will move and the implications for each. Careful planning will help ensure effective cloud migration and immediate ROI benefits with your cloud investment.

It is important to allow adequate time for the migration process. There are many critical moving parts in workload migrations and hurrying through any step can impact downstream results. Typically, migrations take 30-60 days from start to finish but, obviously, that varies depending on the complexity of the workload. Additionally, don’t hesitate to ask for help; cloud providers can usually offer assistance or recommend partners with expertise to facilitate migrations.


Work with existing employees to find the right kind of cloud platform to suit your business operations and IT requirements. There will be a common ground that works for all areas of the business and by including stakeholders in the decision making you will find the perfect synergy between all parties and achieve buy-in from key personnel.

Gain an overall understanding of the IT assets that will be migrated to the new cloud environment. This involves a thorough evaluation of the workloads and the components in the application stack. Also, check software licenses and, if necessary, consult with your vendor on any required permissions.

Workload Analysis: Determine Technical Requirements

Here, your organization will work with the cloud provider to review the functional requirements of each asset and determine which workloads are the most important and most suitable to move to the cloud. Not every workload should be included on the migration list; some workloads are better suited to remain on-premises. Some may have technical requirements that prevent a move, while others may simply be too expensive or too low-priority to justify their migration. If there have been customizations in the existing workloads, determine if it would impact their ability to run in the cloud–and specify any additional work required, or if it is better to leave them on-site.

It’s important to understand that cloud workloads need to be designed to run on the cloud infrastructure while those on-premises were designed for specific hardware and software configurations—and those may not match. It’s possible, too, that part of the workload moves to the cloud and the other part remains on-site as a hybrid cloud implementation. Finally, consider the length of time required for data transfer, which can be significant in the case of large-size workloads due to storage transfer rates and costly bandwidth charges.

Mapping and Risk Mitigation: Identify Security Issues

Protect your workloads by mapping which type of cloud each workload will be migrated to—public, private or hybrid. This is an opportune time to identify and mitigate any risks that come up, including security considerations such as data privacy, security or compliance to ensure data is protected and only accessed by authorized users. Also consider requirements for availability, response time and backups. This step ensures that project stakeholders can validate their efforts and make streamlined decisions about which workload candidates will make the cut and be migrated.

Training and Compliance

While the technical aspects of your migration will benefit the business you also need to ensure your employees are ready for the change as well. There should be structured training about the migration, before the migration and then after the migration to have everyone pulling in the same direction, maintaining efficiency and productivity.

Planning and Execution

After any remaining obstacles have been addressed, workloads can begin to be migrated. It is advantageous to migrate items according to their workload classifications and sources. For example, workloads on physical servers can be migrated at the same, as can databases on virtual servers. This ensures that each type of asset–including applications, databases, operating systems and underlying infrastructure–is properly organized and reaches the correct cloud environment.

Amazon Web Services

There are more than one million active customers using Amazon Web Services (AWS) to perform faster, lower IT costs and scale applications. Being an authorized Global Knowledge Learning Partner has enabled us to expand our catalog with courses that arm you with the skills needed to design, deploy, operate and secure your infrastructure and applications on the AWS cloud and maximize your cloud investment. Whether you are new, have experience or are seeking AWS certification, Motivaim has a learning solution for you!

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