As enterprises adopt cloud services and IoT devices, infrastructure complexity grows faster than teams can document it. Relying on periodic, static snapshots leaves organisations working from information that is out of date, or was never captured at all.
Mugato removes the black box by observing what your systems actually do. Agentless discovery and AI-powered service dependency mapping turn unknown unknowns into a trustworthy, real-time blueprint of the whole environment, with application and business service context attached.
This brief maps eight transformation programmes against the data problems that derail them, and sets out what changes when the picture underneath is accurate.
For the first time we have a tool that gives us the total overview. Highly complex data is turned into digestible bits, and creates a bridge that helps the whole team understand what's going on.
Christian Jørgensen, Head of Infrastructure
What's inside
- Cloud migration: why incomplete inventory and unknown dependencies cause failed migrations, and how to plan waves on deterministic data
- Infrastructure modernisation: surfacing decades of undocumented legacy connections and zombie servers
- Application rationalisation: identifying the 15–30% of infrastructure that is redundant, and decommissioning it without outages
- M&A integration: what a 14-day agentless scan gives due diligence
- Micro-segmentation, data centre exits, CMDB accuracy and cost optimisation
