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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Map legacy systems in layers, not in one giant diagram. Start with a bounded inventory whose owners can verify every entry. Add business workflows, observed network and transaction flows, shared infrastructure, data stores, identities, external providers and operational handoffs. Then assess each application for business purpose, risk, technology, cost, feasibility and migration options. Keep the map as a maintained planning record because a diagram created once will be obsolete as gaps close and modernization waves change.
What a legacy-system map must answer
A modernization map is useful only when it answers both technical and business questions. At minimum, a reader should be able to determine:
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- What applications, services, databases, files, infrastructure components and external providers are in scope?
- Where does each component run, and who owns its business outcome and technical operation?
- Which systems exchange data or transactions, in which direction, through what interface and on what schedule?
- Which relationships are confirmed, inferred or still unverified?
- What business workflow depends on each relationship, and what breaks if it is unavailable?
- Should the application move to cloud, remain on premises, merge with another service, be reengineered, be replaced or be retired?
An inventory answers what exists. Dependency evidence shows observed communication. Interviews and workflow analysis explain why that communication matters. Treating those three kinds of evidence as interchangeable is a common cause of failed migration plans.
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Start with a bounded scope and named owners
Choose a modernization slice
Do not begin by promising to document every asset in the enterprise. Select one application, business service, migration wave or tightly related group of systems. GSA recommends starting with assets that touch the system being migrated. A bounded pilot produces a usable map sooner and exposes the discovery methods that need to scale.
Write the boundary in operational terms. For example, define the customer-order service, its production and disaster-recovery environments, the order database, scheduled integrations, identity services, file exchanges and the business teams that operate it. State whether development, test, partner environments and historical archives are included or excluded. Record the decision date so later readers know what the map does not cover.
Assign two kinds of ownership
Every inventory record needs a business owner who can explain the service’s purpose, users, obligations and acceptable downtime. It also needs a technical owner who understands hosting, interfaces, support procedures and failure modes. One person may hold both roles, but do not assume that the application manager knows every batch job or that an infrastructure team can define business criticality.
Identify operators, security contacts, data stewards and representatives from dependent systems as well. Their names and confirmation dates become evidence that the map was reviewed rather than inferred from a scan.
Ask the questions owners can answer
Use plain questions that expose meaning behind technical records. GSA’s diagnostic wording includes “How does it interact with other systems?” and “What’s the business case for your systems?” Also ask which processes stop when the application is unavailable, which files are exchanged manually, which jobs run overnight, who approves changes and what regulatory or contractual deadlines apply. Interviews frequently reveal dependencies that have no modern API, including spreadsheets, shared folders, operator checklists and human handoffs.
Build the initial inventory
Create one portfolio-level register before drawing detailed architecture. The register should be searchable, versioned and linked to evidence. Capture at least these fields:
| Inventory field | What to record | Why it matters for modernization |
|---|---|---|
| Application or service name | Canonical name, aliases and environment names | Prevents duplicate records and makes scan results reconcilable. |
| Business purpose | Capability delivered, primary users and key workflow | Supports rationalization and replacement decisions. |
| Business owner | Accountable department and contact | Provides validation of purpose, criticality and outcomes. |
| Technical owner | Support team, escalation path and confirmation date | Establishes responsibility for technical facts and remediation. |
| Environment and location | Production, test, recovery and other environments; facility, region or cloud account | Shows what must move together and where residency constraints apply. |
| Hosting model | Physical, virtual, hosted, managed service or other model | Shapes migration feasibility, licensing and operational work. |
| Infrastructure components | Servers, virtual machines, containers, storage, load balancers and network segments that are known to support it | Connects an application record to assets that must be discovered and changed. |
| Data stores | Databases, queues, files, archives and major data classifications | Identifies transfer, retention, compatibility and cutover dependencies. |
| Interfaces | APIs, message queues, database links, file transfers, scheduled jobs and manual exchanges | Defines the relationship work required in a migration wave. |
| External providers | Third-party services, network links and contractual contacts | Exposes dependencies outside the team’s direct change control. |
| Evidence and confidence | Interview, scan, flow observation, document or other source; confirmed, inferred or unverified status | Prevents assumptions from being presented as facts. |
GSA’s prompts emphasize where technology is, how it interacts with other systems and who is responsible for it. AWS frames a portfolio-level assessment around data sources, application and infrastructure inventory, prioritization, a high-level migration strategy and a directional business case. Keep those portfolio records concise enough to rank many applications; reserve deep architecture work for candidates selected for near-term action.
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No single discovery method is complete. Combine human knowledge with machine-observed evidence, then reconcile contradictions.
| Approach | What it can reveal | Limit to account for |
|---|---|---|
| Owner and operator interviews | Business purpose, responsibility, undocumented workflows, manual dependencies, schedules and operational constraints. | Recall can be incomplete or outdated; verify important claims against system and flow evidence. |
| Automated asset scans | Network-addressable assets and technical attributes available through the chosen access and scanning method. | A discovered asset does not by itself reveal its business role or every application dependency. |
| Network mapping and flow observation | Endpoints, traffic patterns, user requests, API calls and service-to-service connections. | Observed communication proves a technical edge, not its business purpose or criticality. |
| Portfolio assessment | Cross-application inventory, prioritization, high-level strategy and directional business case. | It does not replace detailed architecture assessment for applications selected for migration. |
Interviews and document review
Interview application owners, operators, database administrators, network teams, security staff, service-desk personnel and representatives of dependent services. Ask each group to describe the same workflow from its perspective. Compare runbooks, interface specifications, change records, incident reports, scheduler definitions, data-retention documents and recovery procedures with those accounts.
Pay special attention to “temporary” workarounds. A nightly export to a shared directory, a manually restarted service or a spreadsheet uploaded by an operator can be a production dependency even when it is absent from architecture diagrams.
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Automated asset discovery
Use authorized scans to identify hosts, addresses, operating systems, listening services, installed components and relationships visible from the scanning position. Federal CISA asset-visibility guidance stresses the importance of knowing what assets exist, but its BOD 23-01 requirements apply to federal civilian executive-branch systems in the directive’s stated scope. Private organizations can use the visibility principle without treating that directive as a universal mandate.
Record scan coverage and blind spots. Credentials, network segmentation, passive-only collection, maintenance windows and unmanaged devices all affect what a scan can see. A clean result may mean “not reachable by this method,” not “does not exist.”
Network mapping and flow metadata
Map enterprise networks before changing hosting or routing. GSA warns that discovery can reveal unknown endpoints and unexpected traffic patterns. Capture source and destination, protocol or interface type, direction, timing, frequency and environment. Compare normal business periods with month-end, year-end and batch windows because a dependency may be dormant during an ordinary observation period.
NIST’s supplementary use case for SP 1800-35 describes cataloging enterprise identities, assets, workflows and data flows, then mapping discovered assets and flows to identified assets. Its transaction-flow scenario records metadata for user requests, API calls and service-to-service communication; it does not require inspecting traffic contents. This can provide strong technical evidence while reducing the need to examine payload data.
Do not infer business criticality solely from packet counts or connection frequency. A rarely used regulatory export may be more important than a chatty monitoring endpoint. Owners must validate the purpose and consequence of each material edge.
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Software component records
A software bill of materials can improve visibility into components and supply-chain exposure. A July 2026 CISA bulletin lists updated SBOM minimum elements including a component hash, license, SBOM tool name and generation context. Use those details to understand what is inside an application and to locate vulnerable or unsupported components, but do not treat an SBOM as a runtime dependency map. It will not show a hidden file exchange, an identity relationship or a service that is called only during a business exception.
Represent systems and dependency edges separately
A practical map combines a table with a relationship diagram. The table is authoritative for fields and evidence; the diagram helps teams reason about sequencing and blast radius.
Use a system record for each node
For every application, service, data store, infrastructure component or external provider, retain the inventory fields, environment, owner, lifecycle status, criticality rationale and last-reviewed date. Give each record a stable identifier so names can change without breaking relationships.
Use an edge record for each relationship
Store one record per dependency edge with these fields:
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- Interface or flow type, such as API, queue, database link, file transfer, scheduled job or manual handoff.
- Direction and timing, including event-driven, continuous, hourly, nightly or exception-only behavior.
- Data or transaction purpose, stated in business language as well as technical terms.
- Evidence source and observation date.
- Owner confirmation, including the confirming team and date.
- Criticality and consequence if the edge fails.
- Confidence status: confirmed, inferred or unverified.
Distinguish an observed edge from a suspected one in both the data model and the visualization. Use a review queue for unverified relationships rather than deleting them; uncertainty is information that should influence migration sequencing.
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Include shared and non-application dependencies
Include identity and access services, DNS, time synchronization, certificates, key management, monitoring, backup, network paths, databases, file shares, message brokers, external providers and operational processes when they affect the application. The cited guidance supports broad asset and flow discovery but does not prescribe one universal dependency taxonomy. Choose categories that fit your environment and apply them consistently.
Run the mapping workflow in seven steps
- Define the slice. Name the application or business service, environments, business processes and time boundary. Record explicit exclusions.
- Collect ownership. Assign business and technical owners, interview operators and identify dependent-system contacts.
- Seed the inventory. Enter applications, infrastructure, data stores, interfaces, providers, locations and hosting models in the portfolio register.
- Gather evidence. Review documents, run authorized scans, map network paths and collect flow metadata across normal and batch periods.
- Reconcile findings. Match aliases and addresses to stable system identifiers. Merge duplicates, investigate unknown endpoints and mark every edge with evidence and confidence.
- Validate business meaning. Walk critical workflows with owners. Confirm purpose, timing, failure impact, data sensitivity and manual steps.
- Assess and plan. Rank applications, choose modernization dispositions, identify prerequisite work and place dependencies into migration waves. Schedule the next review.
Keep an issue log for unanswered questions. An entry should state the missing fact, responsible owner, evidence needed, target date and decision blocked by the gap. This turns discovery into managed work instead of a collection of unresolved diagram annotations.
Assess the portfolio at two levels
Portfolio-level assessment
Use a compact record to compare many applications. Capture business value, users, strategic fit, lifecycle status, major dependencies, risk, approximate cost drivers, data concerns, technical condition and a directional business case. AWS presents portfolio assessment as an iterative activity that enriches records and closes gaps as planning progresses.
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Application-level assessment
For candidates in an imminent wave, deepen the record with architecture, runtime topology, technology versions, interfaces, data models, performance characteristics, recovery design, security controls, licensing, skills availability, target-state design and a specific migration strategy. Do not spend this level of effort on every low-priority application before the portfolio has been ranked.
Use decision axes rather than a fake precision score
Compare candidates using explicit axes:
- Business value: revenue, mission, customer service, regulatory or operational importance.
- Dependency impact: number and criticality of upstream and downstream relationships, including shared services.
- Risk: security exposure, unsupported technology, resilience weakness, data sensitivity and concentration of knowledge.
- Technical feasibility: interface clarity, testability, portability, target-platform fit and availability of skills.
- Cost and benefit: continuing operation, migration effort, licensing, infrastructure and expected business benefit.
- Sequencing constraints: blackout periods, contract dates, prerequisite platform work and dependent-system readiness.
CISA dependency-planning guidance advises considering effectiveness, cost relative to benefits, implementation barriers and risks that affect multiple dependent systems. These are decision axes, not a formula that guarantees an optimal answer. Document why a disposition was chosen and what evidence could change it.
Choose a modernization disposition
| Disposition | Use when the map shows | Questions to resolve first |
|---|---|---|
| Move to cloud or another target platform | The business purpose remains strong, dependencies are understood and the workload fits the target operating model. | Are identity, network, data-transfer, resilience and external-provider paths ready? |
| Keep on premises | Latency, sovereignty, specialized hardware, contractual obligations or economics make relocation unattractive. | What modernization can still reduce risk or operating burden in place? |
| Merge or consolidate | Overlapping capabilities or duplicated data stores serve similar users and workflows. | Which owner, data model, interface contract and migration sequence will become authoritative? |
| Reengineer | The capability is strategic but the current architecture blocks reliability, scale, security or change. | Can the business tolerate a staged transition, and which dependencies need compatibility interfaces? |
| Replace | A supported product or service can meet the required capability with lower risk or cost. | How will data, integrations, controls and user processes be transitioned and tested? |
| Retire | The business purpose has ended, usage is negligible or another service fully covers the need. | Have records, legal holds, downstream consumers and recovery obligations been cleared? |
Do not select a disposition from age alone. A decades-old system with a clear interface and stable purpose may be easier to move than a newer service with undocumented consumers. Conversely, a low-traffic application can still block a program if it owns an irreplaceable data set or an infrequent regulatory process.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Validate the map before committing a migration wave
Reconcile people and machines
Compare interview claims with scan results, flow observations, scheduler definitions and incident history. Investigate three common mismatches: a named dependency with no observed traffic, observed traffic with no known owner, and an inventory asset that has no current user or workflow. Each mismatch may represent a dormant path, an observation gap, an undocumented service or obsolete infrastructure.
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Walk critical transactions end to end
Choose representative workflows and trace them from user request through APIs, queues, services, databases, files, identity checks and external calls. Include success, retry, timeout and exception paths. Record the evidence for each edge and identify where a human operator intervenes. A diagram that covers only the happy path is not sufficient for cutover planning.
Confirm failure consequences
Ask the owner what happens if each dependency is unavailable for minutes, hours or a full business day. Record workarounds, backlog behavior, data-reconciliation needs and escalation contacts. This distinguishes a technical connection from a dependency that controls migration sequencing or rollback design.
Set an acceptance threshold
Before approving a wave, define which unknowns are intolerable. For a high-impact application, require confirmation of all production data stores, identity paths, external calls, batch jobs and recovery dependencies. Lower-risk systems may proceed with a documented set of residual unknowns and a plan to monitor them. The threshold should be explicit so “complete enough” is a decision rather than an opinion.
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Keep the map current through modernization
Treat the portfolio as a living planning artifact. AWS describes application portfolio assessment as continuous through migration and modernization, not a single discovery milestone. Update records when teams resolve data gaps, revise a business case, change an interface, create a migration wave, optimize a workload or retire an asset.
Set review triggers rather than relying only on a calendar. Reopen affected records after a major release, ownership change, network redesign, acquisition, incident, contract renewal, data-store migration or decommissioning. Require migration teams to update the map as part of change completion, not as an optional documentation task.
Preserve history. Keep the previous owner, topology, evidence date and disposition decision so operators can understand why a relationship disappeared or a system moved. Mark retired assets as retired with a date and successor instead of deleting them; historical incident and audit records may still refer to their identifiers.
Common failure modes and fixes
Trying to inventory everything first
Symptom: months of collection produce a large spreadsheet but no migration decision.
Fix: begin with a bounded application or business service, prove the discovery workflow and expand by dependency neighborhood.
Relying on a diagram as the source of truth
Symptom: boxes and arrows look complete, but nobody can state when a flow runs or who owns it.
Fix: keep structured node and edge records with evidence, confidence, owners and review dates. Generate diagrams from those records where possible.
Confusing traffic with business dependency
Symptom: a frequently contacted endpoint is prioritized while an infrequent but mandatory export is missed.
Fix: use flow metadata to establish observed communication, then validate purpose, timing and consequence with workflow owners.
Trusting interviews without technical checks
Symptom: an owner’s list omits forgotten hosts, service accounts or batch paths.
Fix: reconcile interviews with scans, network mapping, scheduler data, logs and recovery procedures; record conflicts instead of silently choosing one account.
Treating a software bill of materials as a dependency map
Symptom: component information is detailed, but runtime integrations and data flows remain unknown.
Fix: use SBOM data for component and supply-chain understanding and continue runtime discovery, interviews and relationship mapping.
Ignoring shared services
Symptom: an application appears ready to move until identity, certificates, DNS, monitoring, backup or a shared database becomes a blocker.
Fix: include shared infrastructure and operational services as nodes and map their relationships to every migration candidate.
Leaving uncertainty unmarked
Symptom: inferred relationships are treated as confirmed during cutover planning.
Fix: require a confidence field, evidence source, owner confirmation and a dated action for every unverified material edge.
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What a complete handoff contains
Before a modernization team commits to design or migration execution, hand over:
- A scope statement with included environments, exclusions and review date.
- A portfolio inventory with stable identifiers, business and technical owners, locations, hosting models, infrastructure, data stores, interfaces and providers.
- A dependency register with direction, interface type, timing, purpose, evidence, criticality and confidence.
- A workflow view for important user and batch transactions, including manual and exception paths.
- A list of unknowns, conflicts and blocked decisions with named owners and due dates.
- An application-level assessment for near-term candidates, including target-state assumptions and migration strategy.
- Disposition decisions and the evidence, cost, risk, feasibility and sequencing considerations behind them.
- A maintenance plan describing review triggers, change-control responsibilities and how retired or replaced records remain traceable.
The goal is not the prettiest architecture picture. It is a defensible, owner-validated model of what exists, how it interacts, why those interactions matter and what must happen in which order. That model lets modernization teams reduce surprises without pretending that discovery is ever permanently finished.
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