Dimiour Migration Plan Simulator (dMPS)

Whether it is a bunch of pilot applications or your entire private datacenter with hundreds of applications, moving your IT infrastructure to the cloud can be a complex process with many risks and uncertainties. That’s why we’ve created a Dimiour migration plan simulator that can help you mitigate risks, prioritize applications, manage change, and optimize costs.

How dMPS helps organizations

Prioritize applications: dMPS uses data-driven analytics to help you prioritize which applications to migrate first based on their criticality, complexity, and dependencies. Whether you prefer to sunset a data center which is heavy on cost or pick those applications which needs to scale up and down based on demand dMPS can work out an optimal plan grouped into the migration waves.

Plan and schedule

dMPS helps you plan and schedule your cloud migration project by providing a framework for agile planning and prioritization, and providing better predictability for schedules.

Mitigate risks

dMPS identifies and mitigate risks associated with cloud migration by providing a measurable framework around change management by providing potential alternate paths effectively minimizing schedule deviations and migration costs.

Optimize costs

Our simulator helps you optimize costs by providing insights into the cost of hosting applications in the cloud and planning out the migration waves where double-bubble (costs of infrastructure on source and target) is kept to bare minimum.

How dMPS fits in to migration journey

dMPS is a tool providing predictability and transparency to migrations. Following is a summary of the features.

  • Interface to collect data about Applications, VMs, Operating Systems, Storage, Networks and Datacenters
  • Collect info on their dependencies and technology stacks 
  • Analyze applications and VM usage and needs
  • Take prioritization considerations into account
  • Develop an optimal plan for migration
  • Provides reports on cost savings during and post migration
  • Change management options during execution to derive new schedule upon surprises
  • dMPS will gel well with any migration process which involves the assessment, mobilize and migration phases

Discovery

The first step in migration is to discover the applications, services, and data that need to be migrated, and gather information about their dependencies and requirements. dMPS can integrate with format from cloud migration evaluation tools to collect the data or provide interfaces to business users and application teams to input through a user interface.

Analysis

Once the data collection phase is complete, and application and infrastructure data is baselined, dMPS analyzes the discovered information and generates a prioritized list of applications based on their criticality, complexity, dependencies or any custom prioritization rules. In case of multiple applications are deployed on same VM, the process can consider prioritization rules such as free up the lean VMs earlier thereby benefit improving infra expenses of source datacenters earlier.

Planning

dMPS helps in planning and scheduling migrations in waves by grouping tightly dependent apps or optimizing overall testing effort depending on current state factors. dMPS is a framework for agile planning and prioritization, providing better predictability for schedules.

Risk mitigation

dMPS can provide new schedule considering different applications into waves as and when existing schedule is stuck due to unforeseen dependencies. This mitigates risks of milestone deviations leveraging a measurable change management process.

Optimization

dMPS helps to optimize costs by providing insights into the cost of hosting applications in the cloud and minimizing double-bubbles.

Reporting

dMPS also provides detailed reports on the progress of your cloud migration project, including the status of each application, the cost of hosting in the cloud.

dMPS can help organization mitigate risks, prioritize applications, manage change, and optimize costs. Organizations benefit with a data-driven approach to cloud migration that is both agile and efficient, while ensuring the highest levels of security, compliance, and cost optimization.