Choose the right workloads for early success in the cloud

You’ve heard this before, especially if you’re a chief information officer: deploying workloads and applications in a cloud infrastructure can help reduce costs, free up resources to drive innovation and streamline critical processes.

But if you need to demonstrate value sooner rather than later, cloud deployment might not always be the best choice for every workload.

One cloud does not fit all

The benefits of cloud are more visible when the workload aligns with the standardization, virtualization, automation and support that cloud deployment provides. Often, these types of workloads require almost no customization and can make deployment to a cloud environment easier.

However, not every workload is created equal. The benefits of cloud can vary depending on the characteristics of whatever is being deployed. For certain applications, the value of cloud in comparison to traditional delivery models may not be significant enough to justify an early migration.

Understanding your workloads

Choosing the right workloads is fundamental to achieving your cloud strategy objectives. Before starting a cloud implementation project, it’s important to analyze your potential gains against the projected challenges of deploying to a public, private or hybrid cloud infrastructure.

Your model for managing certain critical workloads might currently be so costly — financially and operationally — that migrating to cloud can provide considerable benefits. Yet some workloads may already be optimized to such a level that migrating to cloud isn’t worth the time, money and effort.

So how do you know which workloads and applications will deliver the best return on a cloud investment?

Get expert advice on cloud deployment

To better understand the value that a cloud solution may — or may not — deliver for your business, consult specialists. The IBM Cloud Affinity Analysis is designed to identify the workloads most likely to drive early success in your cloud adoption. This low-cost, face-to-face assessment provides a qualitative analysis of up to four current or future workloads. The assessment includes each workload’s overall affinity to cloud; the pain versus gain of moving to cloud; and whether the workload is appropriate for public, private or hybrid cloud environment.

The Cloud Affinity Analysis applies a structured methodology that shapes the cloud adoption discussion so you can better understand and prioritize application workloads for cloud with clear information about potential costs and the impacts of migration. At the end of the process, you receive a customized report that includes recommendations regarding whether you should consider moving specific workloads to cloud and what to expect during the implementation.

used with permission from IBM Thoughts on Cloud
by Dana Howard

Bryan Antepara

Bryan Antepara: IT Specialist Bryan Antepara is a leader in Cloud engagements with a demonstrated history of digital transformation of business processes with the user of Microsoft Technologies powered by the team of eMazzanti Technologies engineers. Bryan has a strong experience working with Office 365 cloud solutions, Business Process, Internet Information Services (IIS), Microsoft Office Suite, Exchange Online, SharePoint Online, and Customer Service. He has the ability to handle the complexity of moving data in and out of containers and cloud sessions, makes him the perfect candidate to help organizations large and small migrate to new and more efficient platforms.  Bryan is a graduate of the University of South Florida and is Microsoft Certification holder.

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