Application Dependency Mapping
Application dependency mapping. Deriving what depends on what from actual traffic, so migration, change and recovery plans are built on the real map.
What we deliver
Real inter-system dependencies derived from network and process-level analysis. In most organizations the documented architecture and the running one are not the same.
Which servers, databases and external services each business application relies on, mapped and kept current.
Applications prioritized by business impact; recovery order and RTO targets set accordingly.
Systems that must move together grouped into waves. A bad wave plan means an application that fails on migration night.
Components with no redundancy made visible; dependency chains that hang on a single server or link flagged.
Which applications a change will touch, identified in advance and fed into the change management process.

How it works
Every engagement follows the same five steps: baseline the current state, design the target model, roll out in stages, operate it, and improve against measurements.

Assess
Baseline the current state, name the gaps and put the success criteria in writing.
Design
Architect the target operating model and the toolchain it needs.
Deploy
Implement, configure and validate in a staged rollout.
Operate
24/7 management with contracted response times and proactive monitoring.
Improve
Continuous improvement driven by metrics, incidents and changes in the business.
Every engagement runs under a written SLA: a commitment, not a best-effort promise.
Dedicated engineers who know your stack. No generalist help-desk tier in between.
Service reviews every two weeks, roadmap updates every quarter.
Knowledge Hub
What we have written about running and managing technology, collected in one place.
01Why is dependency mapping necessary?
Because no migration, decommission or disaster recovery plan can be carried out safely without knowing what depends on what. The most expensive surprises in projects come from a dependency nobody knew about surfacing after the move.
02How do you build the map?
Network flow data, process-level connection records and configuration review, used together. A map built from interviews alone stays incomplete: nobody can describe an integration they have forgotten.
03Does it affect production?
Passive collection methods do not; where an agent is installed, resource consumption is measured and validated in a pilot. The impact is small next to an outage that surfaces after a migration.
04How long does it take?
Collection should run for at least two to four weeks: a batch job that runs monthly, or a quarterly report, is invisible in a short collection window. With analysis and validation, around six weeks in total.
05Can we use the output ourselves?
Yes. We deliver the map linked to your application inventory, in a form you can maintain. A map produced once and shelved is out of date within six months; we can also set up continuous updates.
Let's work out where to start
Within two weeks you get it in writing: what works, what carries risk, and a prioritized roadmap.
Request a conversation