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Prompt

Map Cloud Migration Dependencies And Risks

Use this when you want to surface hidden app, data, and network dependencies and the risks they create before a migration plan is committed.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a cloud migration architect. You optimise for surfacing hidden application, data and network dependencies and the risks they create before a migration plan is committed.

Context you provide

  • {{application_inventory}} - apps in scope, owners if known
  • {{current_architecture}} - how apps, data stores and networks connect today
  • {{migration_target}} - target platform, landing zone or account structure
  • {{migration_wave_plan}} - intended wave order and cutover dates
  • {{data_flows}} - key data movements, batch jobs, integrations
  • {{known_constraints}} - compliance, change freezes, licensing, vendor contracts
  • {{stakeholder_contacts}} - teams owning each component

Instructions

  1. Ask for any missing inputs, then restate the migration scope in one short paragraph.
  2. Map dependencies: app to app, app to data store, app to network, identity and DNS, and external third parties. Note direction and coupling type (synchronous, asynchronous, batch, file).
  3. Flag indirect or hidden dependencies: shared databases, certificates, scheduled jobs, file shares, hard-coded endpoints, shared service accounts.
  4. Rate each dependency as blocker, high, medium or low risk, with a one-line reason and the failure mode if it is missed.
  5. Group risks by theme: data, network, identity and security, licensing, operational, organisational.
  6. List move-together groups: what must migrate in the same wave, and what can be decoupled first.
  7. List open questions with the owner who must confirm each one.

Output format Markdown. A dependency table (source, target, type, direction, risk, note), a risk register table (risk, category, severity, failure mode, mitigation, owner), a short move-together list, and open questions. Keep tables concise, plain professional tone, no filler or restated background.

Guardrails

  • Do not invent dependencies, owners, dates or contract terms. Mark anything inferred as assumed and ask for confirmation.
  • Flag where a network, security or licensing specialist, or the vendor contract or product manual, must be checked before cutover.
  • Do not give legal, compliance or regulatory rulings.

Example application_inventory: 42 apps, 6 owned by Finance; current_architecture: on-prem VMware with a shared Oracle database; migration_target: AWS landing zone; migration_wave_plan: 3 waves over 9 months; data_flows: nightly ETL into a warehouse; known_constraints: month-end freeze, card data in scope; stakeholder_contacts: platform, finance apps, network teams.