Sanovi Cloud Migration Manager

Sanovi Cloud Migration Manager


Intelligent workload migration to accelerate public cloud adoption and realize true cloud benefits by Enterprises

Sanovi Cloud Migration Manager is an enterprise software platform that provides migration lifecycle automation at application level with emphasis on workload migration planning and design. It’s is built on Sanovi’s proven Application Defined Continuity platform that provides software driven business continuity and service availability. Currently, workload migration is supported from on premise to AWS cloud
Sanovi’s approach to Cloud Migration
Sanovi Cloud Migration Manager follows an agentless phase-by-phase application based approach. Sanovi software automates the complete migration process in five lifecycle phases: discovery, plan, migrate, test and cutover.
Cloud Migrator Lifecycle-Diagram
Who Needs Sanovi Cloud Migration Manager:
Cloud Migrator is an ideal option for enterprises and service providers who are looking to build a cloud data-centre on AWS (Amazon Web Services) platform. It eases out the process as well as reduces the cost in terms of infrastructure investment, while ensuring optimal performance. It can be practically used for any application environment including the following common workloads that are moving into the cloud:

  • Business critical and mission critical applications
  • Batch Analytic applications
  • Dev/Test workloads
  • Virtualized application environment


Sanovi Cloud Migration Manager Overview

Sanovi Cloud Migration Manager is build on the proven life cycle approach, to ensure faster Hybrid Cloud Deployments. The emphasis here is on planning, for ensuring optimal cost and performance, through cloud migration. Application based migration, rather than migration of Virtual Machines ensures on-time completion of your migration project, and stable, consistent performance of your applications. Meeting SLAs is a clear focus, thus assuring that you get the anticipated benefits through cloud migration.
Here is an overview of the different phases in Application Migration Lifecycle:

Source Discovery Phase – In this phase, complete application stack discovery takes place along with Auto capture of application characteristics. In this phase, the Sanovi Cloud Migration Manager enables you to:

  • Discover complete application stack including their configuration, interactions and dependencies
  • Identify the application’s characteristics based on the utilization rate of CPU, memory and disk I/O, with the help of Workload analysis engine

Assess & Planning Phase – This enables assignment of migration plan, and the ability to review resources & costs. In this phase, the Sanovi Cloud Migration Manager enables you to:

  • Auto select cloud resources based on selected plan parameters using the Sanovi Cloud Migration Manager’s Intelligence engine
  • Use auto-generated Bill of Material for budgeting, decision making and reporting

Actual Migration Phase – This enables secure & optimized live data migration of multiple virtual machines simultaneously. In this phase, the Sanovi Cloud Migration Manager enables you to:

  • Schedule or Initiate the fully automated provisioning
  • Replicate the workload to AWS using the non-intrusive, secure data mover

Testing & Optimization Phase – This enables automated application testing, optimize & retest of migrated application in the new cloud environment. In this phase, the Sanovi Cloud Migration Manager enables you to:

  • Start & Stop application VMs orderly
  • Optimize the resources through standard smoke tests customized per environment

Cutover Phase – This synchronizes the incremental data from on premise to the cloud and brings the application live on the cloud. In this phase, the Sanovi Cloud Migration Manager enables you to:

  • Have scheduled or on-demand, fully automated cutover with no loss of data
  • Monitor performance and provide comparison report

Key Features

Following are the key features of Sanovi Cloud Migration Manager:

Complete Application Stack Migration
Discover all the tiers & dependencies of the complex application using the discovery assist module and migrate it to AWS cloud.
Application Workload Characterization
Automatic characterization of the application based on CPU, memory & disk usage. Helps in identifying the right kind of resource to be used in AWS.
Tiered Migration Plan
Intelligent decision framework provides multiple tiers – ‘Best Performance’, ‘Best Cost’ etc. to balance cost, SLA & policy constraints.
Cloud Recommendation Engine
Built in intelligence for leveraging AWS features based on the characteristics of the workload.
Exportable Bill of Materials (BOM)
Get a preview of the resources that will be used in AWS. Provides visibility, helps in budgeting and avoid surprises.
Fully Automated Migration
Automated end-to-end migration process including resource provisioning, data synchronization and testing. Reduces the time & manual intervention allowing more time on testing, tuning & optimizing the workload on AWS.

Non-Intrusive Test

Schedule or initiate test to validate the application with AWS resources without impacting data mobility.
Scheduled Migration
Schedule the testing & cutover to minimize the impact on business. Batch multiple migrations together to save time.

Key Benefits

Following are the key benefits of Sanovi Cloud Migration Manager:

Faster Migrations
Powerful Dashboards for complete lifecycle monitoring, drill-down and tracking. This Central console helps organizations meet SLAs and schedules for faster cloud migration, with project deployment timelines going down by 50%
Consistent Infrastructure
Policy based migration brings in consistency and predictably in cloud infrastructure and avoids surprises in the application behavior and cost of cloud resources.
Cloud Benefits Leveraged
Cloud intelligent automated provisioning enables optimized infrastructure by leveraging the cloud features to meet the objectives – cost, performance, resiliency etc.
Eliminate Errors
Automation across all phases reduces time, prevents manual errors and reduces dependency on experts

Reduced Operational & Deployment Costs
Huge savings in deployment and operational costs due to automated and policy driven migration models