You cannot plan a migration on a dependency map you invented
Legacy system documentation is always incomplete. The dependency map has to come from observed behavior.
Hand-drawn architecture diagrams and CMDB records reflect what someone believed the system to be — not what it is doing right now.
The service call no one documented, the nightly file transfer to the billing system, the undeclared database connection — these are what turn planned cutovers into incidents.
Interview-based dependency mapping is slow, subjective, and produces a snapshot that is already stale before the first migration wave begins.
Trace dependencies from observed behavior, not documentation. saasups deploys against your running environment and traces every service call, database connection, file transfer, and message queue dependency as it actually occurs — not as someone remembers it.
Surface the hidden connections that cause incidents. Circular references, undeclared shared databases, cross-team service dependencies — saasups resolves them automatically and presents them in a dependency graph you can interrogate before planning a single migration ticket.
Produce a dependency map in days, not months. For environments up to 200 applications, saasups completes initial discovery in under 24 hours — giving your team a working estate map before a consulting engagement would have its first kick-off meeting.
Dependency discovery built for enterprise modernization
Observed dependency tracing
saasups traces every runtime dependency — service calls, database connections, file transfers, message queues — from observed activity, not from documentation or interviews.
Circular reference resolution
Automatically detect and present circular dependencies and shared infrastructure components so migration sequencing accounts for them before the first cutover.
Dependency graph interrogation
Query the estate map by application, by database, by network segment, or by team ownership — so every migration planning conversation is grounded in data.
Continuous discovery refresh
Estate maps age. saasups refreshes dependency data on a defined cadence so your roadmap stays accurate through a multi-wave migration program.
How saasups dependency mapping works
saasups deploys a lightweight scanner — agent-based or agentless, depending on your environment constraints — that observes actual runtime traffic across your on-premises and private cloud systems. It captures every service-to-service call, every database connection, every file system interaction, and every message queue dependency, resolving them into a directed dependency graph.
The graph is then processed to identify hidden dependencies — connections that cross team boundaries, share infrastructure components, or create circular references that documentation rarely captures. Each dependency is annotated with observed call frequency, data volume, and directionality so migration sequencers can order waves intelligently.
The resulting dependency map is the foundation for every downstream saasups output: the 7 R's scoring engine uses it to assess migration complexity; the FinOps model uses it to identify shared resource consolidation opportunities; the pipeline artifacts use it to sequence migration waves in dependency order.
Frequently asked questions
saasups traces dependencies from observed runtime behavior — network traffic, system calls, database connections — so it does not require source code access. It sees what the system is actually doing, not what someone wrote it to do.