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
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.
Our Assessment Process
Data Collection
We gather comprehensive data about your applications, infrastructure, and dependencies.
ML Analysis
Our machine learning algorithms analyze the data to identify patterns, dependencies, and opportunities.
Recommendations
We provide actionable recommendations based on the analysis, tailored to your specific needs and goals.
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