Over the years, cloud architects have implemented various cloud migration scenarios based on architectural design principles and cloud migration best practices. From lift-and-shift migration to entirely re-architecting the target cloud infrastructure, organizations yield to the demands and benefits of cloud transformation by moving and running workloads in the cloud.
Performance and configuration baselines are critical in understanding the current state of your application environment prior to migrating to the cloud. Without generating cloud baselines, it would be difficult for you to measure your cloud migration success.
Most organizations understand the importance of having a concrete plan and strategy when migrating to the cloud. In the article we've published recently, we've recommended starting your cloud migration journey by setting business objectives and establishing key performance indicators (KPIs). These two play a significant role in defining your cloud migration success. However, establishing KPIs and benchmarking metrics will be an uphill task if you don't have a complete understanding of all of your IT assets, applications, services, and the interdependencies among all of them. For this very reason, we've introduced the Discover stage as part of the cloud migration strategy we've been utilizing in IT-Conductor.
