Running services in the cloud can lower maintenance costs and provide the ability to scale infrastructure on demand. Organizations considering a migration can think about that effort in terms of three phases: discovery, migration, and optimization and modernization.
During the discovery stage, you take an inventory of existing IT assets and utilization. Using automated tools we can identify workloads and applications, score each workload’s readiness or migration, map the current physical hardware to a virtual environment, and forecast a return on investment and total cost of ownership for the migration.
During the migration phase, software tools are used to replicate virtual machines, applications and data on Azure. This is when we might decide to containerize existing applications to make them migration-ready. Once target virtual machines, applications, and data are migrated, optimization can begin.
Optimization is more of a state-of-being than an end point because it involves continuously fine tuning to strengthen security and consolidate management and performance tuning.