Effective cloud migration strategies enable smooth transition of workloads from physical servers to the cloud without disrupting operations. There are various tried and true techniques, including rehosting, refactoring and replatforming.
Disaster recovery plans (DRPs) should also be developed and put into action, to cover for potential downtime or service disruptions during migration, while training on working with your chosen cloud provider is equally vital.
Identify the Applications to be Migrated
As part of their cloud migration strategy, companies should identify which applications need to move to the cloud. This can be accomplished using tools such as TransitionManager to conduct an in-depth discovery and assessment process that collects all applicable details about every data point, application server interdependency etc. That data should then be aggregated, validated and transformed into an actionable “vault of truth.”
Workload interdependencies must also be evaluated, to prevent migrating certain workloads without moving others – an often-happening mistake during cloud migrations that may result in extended downtime. An automated tool should assess relationships between workloads and servers to prioritize and migrate them in an effective order.
The next step should be determining whether applications are suitable for deployment on the cloud. If not, they will either need upgrading or replacement altogether – an approach which may take months of extensive testing but provides maximum leverage from cloud services by eliminating code constraints that impede agility while still preserving and expanding business-relevant functionalities.
At last, it is essential to put into place a repatriation strategy for returning apps back on premises or into private clouds. While this can be tricky if apps were developed specifically for one vendor, leveraging resources that are vendor agnostic can reduce risks associated with this challenge.
Conduct a Needs Assessment
Needs assessments are an integral component of talent development (TD), used by talent development (TD) professionals to analyze any gaps between current situations and desired business results. Without conducting needs analyses, talent development professionals run the risk of designing training programs which don’t solve an organization’s problems or lead to its goals being reached.
Before beginning to conduct a needs assessment, begin by clearly outlining your goals. While it may seem intuitive, failure to articulate goals has derailed numerous needs assessments in the past. Also take into consideration your resources and capacity; how much time and budget do you have available for the assessment?
Once you understand your objectives and the intended use for the information collected, select an appropriate methodology for gathering it. There are various data collection techniques, from quantitative techniques such as surveys to qualitative methods like focus groups. Quantitative measurements provide hard numbers such as frequencies or percentages while qualitative methods like critical incident interviews or observations yield soft or subjective data that may include opinions, assumptions, emotions values and desires.
Next, analyze the data to identify your organization’s strengths and weaknesses. Once you have an in-depth understanding of its current state, move onto gap analysis: identify what must be done to close any identified gaps between goals and action taken to fulfill them. It can be helpful to share findings with various audiences such as community members, colleagues or project partners as their interpretation of your data may yield surprising insight as well as provide unique recommendations.
Determine the Risks
Step one of creating a cloud migration strategy involves identifying what data and applications need to be migrated, including data and applications. A comprehensive asset and interdependency list should be created so all of their appropriate assets and interdependencies are transferred efficiently during migration; this also helps prevent new risks being introduced during this process. A thorough risk evaluation should also be performed so organizations understand any new processes or tools introduced during migration may impact security, performance or compliance and how best they can mitigate them using careful planning and execution.
Once assets and interdependencies have been identified, it is vital to conduct a dry run of the migration process. This gives stakeholders the chance to see how their applications and data perform on the cloud before initiating full migration; making any necessary changes before undertaking full migration will help organizations determine costs as well as create budgets.
Rehosting is the most frequently employed migration method, consisting of transporting an exact copy of existing infrastructure directly into the cloud. Rehosting can be straightforward but has several drawbacks: It doesn’t leverage cloud native services and may not deliver optimal performance in terms of scalability and latency; additionally, this option can be costly when undertaking complex data architecture restructuring projects.
Develop a Plan
Develop your migration plan involves deciding which applications and in what order to move them over. Stakeholders must identify all application dependencies and interdependencies through a thorough discovery process, which includes mapping each data item, service and application within your system – including how they connect together – then consolidating, normalizing and consolidating this information into an actionable “vault of truth” to facilitate migration planning.
Migrations can be done either with a big-bang or phased approach. Big-bang migrations tend to get the job done more quickly but may pose greater risk, while phased approaches allow your team to focus on smaller chunks at a time.
Once priority workloads have been identified, a testing strategy should be devised to ensure everything functions as planned in the cloud. This should include thorough scalability, performance and integration tests as well as contingency plans to prepare for downtime or service disruption during migration.
Once the migration process is completed, organizations should set goals for success that reflect performance, cost and timeline objectives. This will allow them to gauge whether their organization is ready to transition to cloud native architecture while taking full advantage of cloud migration’s benefits, such as agility, business continuity and reduced costs.