Why CLOUD OPTIMIZATION AND MIGRATION?
Are you are planning a new cloud deployment, or a move from your data center, colo or managed to host environment to a public, private, or hybrid cloud?
If you are, then assessing and selecting the right cloud provider is one of the most strategic decisions that you will undertake.
Decision-makers often suffer from confusion over key questions about the true cost, risk, and total economic impact of moving their core applications to the cloud.
Cloud Optimization and Migration provides an objective third-party process and toolset for creating the definitive business case for moving app workloads to an enterprise cloud. It supports multi-supplier and hybrid deployment scenarios. The end result is alignment on cost and TCO transparency for business and IT decision-makers.
The solution addresses managed, as well as unmanaged, and “shadow IT” workloads. It enables buyers to adopt a multi-supplier, best-fit approach for applications. Such an approach offers buyers a wide range of service provider options, thus ensuring optimal deployment efficiencies. Enterprises are afforded the freedom to place workloads on cloud infrastructures with the greatest efficiency and least risk while leveraging best-of-breed managed services and tools for a single point of control for their application life cycles.
Are Your Decisions Fact-based?
There are a large number of critical business and technology factors that IT must weigh before moving workloads to the cloud. Examples include which workloads are tied to end-of-life platforms, the impact of re-platforming older UNIX-based systems to Linux, and open-computing technologies.
The myriad of decision criteria can seem overwhelming. Buyer confusion leads to indecision. Importantly, non-IT decision-makers become susceptible to cloud service-provider sales pitches and evidence, then leading to poor decision making.
Questions You Should Be Asking
Once technical criteria concerning the feasibility and impact of moving workloads are identified, a broader set of business/economic and operational questions will arise:
The primary question for many companies will be “public cloud” versus “private cloud.” Will one offer the same scalability and flexibility as the other?
What aspect of a cloud deployment should be managed internally or taken on by a managed cloud partner?
What operational, cultural, service-level issues and risks will the client encounter as a result of a move, and what are the best ways to address and mitigate these?
What are the total economic impact and TCO implications of a move—for specific applications, for a range of applications?
Which cloud service provider or managed cloud partner offers the best SLAs, performance, risk profile, and cost benefits?
Business and IT executives need an objective, data-driven process to properly guide decision-making.
The process needs to take into account the business, technology, organizational, and operational requirements that are unique to the client organization. Its outcomes need to provide decision support data that business and IT teams can use to collaborate and reach rapid consensus.
Cloud Optimization and Migration application-centric approach to assessing the operational and TCO implications of moving to a cloud deployment model is the best practice in virtually all cases.
Built on RampRate’s industry-leading SPY Index™, the solution provides an objective planning and decision-making process and toolset that is predicated on accurate and timely supplier data.
The solution takes into account the myriad of decision criteria and parameters that most enterprises are challenged by managing with spreadsheets, third-party methodologies, and assortment data sources and tools.
RampRate’s Cloud Optimization and Migration solution puts the facts at your fingertips and enables you to make critical cloud deployment decisions with complete precision.