This knowledge base article helps Migration Architect teams classify workloads by dependency, risk, and modernization intent using Application dependency mapping in VMware environments. It emphasizes define exit criteria before each migration wave and provides implementation decisions that can be reviewed without relying on vendor or customer claims.
Diagnostic sequence
- Confirm the reported symptom and affected boundary.
- Compare desired state, deployed state, and recent change history.
- Trace identity, network, data, and dependency signals in order.
- Test the smallest reversible hypothesis.
- Record the cause, remediation, and prevention action.
Context and intended use
Preparing VMware Workloads for Dependency Discovery is designed for Migration Architect readers working at the intermediate level. The guidance treats Application dependency mapping as part of an enterprise system rather than an isolated product configuration. Use it to frame a review, plan an implementation increment, or improve an existing operating practice.
Architecture and implementation approach
Start with service boundaries, accountable owners, information flows, and failure conditions. For Cloud Migration, the practical objective is to classify workloads by dependency, risk, and modernization intent. Document assumptions, dependencies, and acceptance criteria before choosing implementation details. Apply Application dependency mapping only where it supports those decisions, and record deliberate exceptions with an owner and review date.
- Define the business service, consumers, data sensitivity, and operating boundary.
- Map identity, network, data, delivery, and observability dependencies.
- Choose a small baseline that can be tested and versioned.
- Automate conformance where the rule is stable; retain human review for contextual decisions.
- Plan rollback, degraded operation, and evidence collection before release.
Governance and security
The control model should define exit criteria before each migration wave. Grant the least authority needed to people and workloads, protect administrative paths, and keep policy changes reviewable. Evidence should show who approved a decision, which version was applied, what was tested, and when the decision must be reviewed. Sensitive values belong in approved secret stores, not source files, examples, or downloadable templates.
Operations and validation
Operational readiness is complete only when the owning team can detect failure, explain impact, respond safely, and restore service. Teams should capture operational readiness alongside technical cutover. Validate telemetry quality, alert ownership, capacity assumptions, dependency health, change procedures, and recovery steps. Capture unresolved risks as explicit work rather than hiding them in an architecture diagram.
Key takeaways
- Classify workloads by dependency, risk, and modernization intent.
- Define exit criteria before each migration wave.
- Capture operational readiness alongside technical cutover.
Related resources
Use the related-resource links in the Resource Center to continue with compatible architectures, guides, assessments, and download packs.