IT Landscape Size
+270 data centers
multinational company initiated modernization through transformation plan where they intended to move their entire IT landscape to cloud.
The goal is to achieve savings of up to $6000/server/year by decommissioning the physical servers and transforming the modernized applications and server activities to cloud.
Greanalyze carefully studied the existing manual discovery and assessment exercise being carried out, and calculated the risks and costs in continuing with the manual methods.
We automated the discovery and analysis without going to the applications, databases or servers by identifying white noise within the IT landscape and automatically capturing this noise to create forensic data that was then converted into actionable intelligence.
Modernization project not making progress for over 2 years due to manual discovery, redundant documentation and lost, incomplete knowledge of the "AS-IS" that has grown through mergers and acquisitions, resulting in high risk and lack of confidence to execute modernization plan.
Need a robust, cost effective and risk free mechanism to identify ideal candidates (applications and servers) for modernization through transformation.
Asset criticality and dependency Priority rules and priority clusters for assets with interdependency and risk classification Obsolete, walking dead and consolidation candidates Automated – Live architecture
This was then used for optimization and provided clear information to plan, design, build, test and deploy the project backed up by the confidence of real-time and live architectural assessment of the "AS-IS" land-scape for modernization and decommissioning.