Workload Transformation Analysis for Cloud

Having defined your cloud strategy, you now need to identify which workloads to migrate to a cloud environment. You need to know which applications will transition easily and give you the best return on your investment. Analytics can provide the insight to help you make better decisions more quickly.

With IBM Workload Transformation Analysis for Cloud, you gain a quantitative look at your business applications and infrastructure to help you discover which workloads will deliver the most benefit when migrated to the cloud.

• Helps accelerate adoption of your cloud strategy with improved decision-making capabilities
• Provides a prioritized view of the workloads that can be migrated to the cloud
• Delivers a quantitative operational cost analysis for migrating workloads to the cloud

Recognizing the cost and efficiency potential of cloud computing, you have defined your cloud strategy. To accelerate adoption of that strategy, you need to identify those workloads that will best fit your targeted cloud environment while also giving you a good return on investment. You also need a structured approach to analyze each individual IT workload in a timely manner.

IBM Workload Transformation Analysis for Cloud uses our IBM Research-developed patent-pending analytical tool and methodology to produce a detailed, quantitative analysis of both business applications and infrastructure components. From this, we can deliver a prioritized list of suitable workloads for migration to the cloud as well as an analysis showing the potential costs and migration impacts. IBM has used this same tool and methodology in our own cloud migration initiatives, narrowing a list of more than 9,500 applications from around the world to those that were best suited for our target cloud. Following our structured approach can enable you to focus on the most beneficial workloads to migrate, helping you to realize the advantages of cloud computing more quickly.

Get more out of cloud with a structured workload analysis (414KB)