Angnostic Maturity Assessment. How fit is your IT application Portfolio?
ML-driven results of the Cloud Readiness Assessment are scores that describe how cloud ready the application is, how beneficial a migration would be and if increased migration risk is to be expected.
Getting instant answers to the burning questions:
- What is the right mix of hybrid cloud platforms for your applications?
- How cloud‐ready are the applications?
- Which applications should be the first‐movers?
- Which applications need to be refactored before moving to the cloud?
- What is the fastest path to migration planning?
- What level of confidence do I have in the analysis?
- What are my application dependencies?
Simulating your Target architecture
Data Planning & Modelling using ML-driven Knowledge Graphs
- Target architecture proposals are generated based on target architecture preferences, the application and IT landscape data and detailed information stored in the DIRIGENTA Knowledge Base.
- Visualizing the EAKG for interactive exploration, and extending the EAKG with additional nodes and edges to visually represent detected EA smells
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