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Application Inventory in Cloud Migration

Application Inventory in Cloud Migration

$249.00
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Course access is prepared after purchase and delivered via email
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the full lifecycle of application inventory management in cloud migration, equivalent in scope to a multi-phase internal capability program that integrates discovery, governance, and portfolio-level decision-making across technical, compliance, and operational domains.

Module 1: Defining Scope and Establishing Inventory Objectives

  • Select which business units or divisions will be included in the initial inventory sweep based on migration readiness and stakeholder alignment.
  • Determine whether to include shadow IT applications by assessing risk tolerance and discovery tool coverage across identity providers and network logs.
  • Decide whether the inventory will track only production workloads or include development, staging, and disaster recovery environments.
  • Choose between a full application census versus a risk-prioritized subset (e.g., customer-facing, data-intensive, or compliance-bound systems).
  • Define ownership accountability by mapping application stewards to business units, requiring formal sign-off on inventory accuracy.
  • Establish criteria for what constitutes a “unique application” versus a component or microservice, especially in containerized environments.

Module 2: Discovery Methodology and Tool Integration

  • Configure agent-based versus agentless discovery tools based on OS support, network segmentation, and security policy constraints.
  • Integrate data from CMDBs, service catalogs, and cloud provider APIs while resolving discrepancies in application naming conventions.
  • Orchestrate network flow analysis (e.g., NetFlow, VPC Flow Logs) to detect undocumented or unregistered applications.
  • Validate discovered applications by cross-referencing DNS records, load balancer configurations, and reverse proxy logs.
  • Address gaps in discovery coverage for serverless functions and event-driven workloads by analyzing execution logs and IAM roles.
  • Set refresh intervals for discovery cycles based on environment volatility and change management cadence.

Module 3: Application Metadata Standardization

  • Define mandatory metadata fields such as owner, criticality, data classification, and compliance requirements (e.g., HIPAA, PCI).
  • Implement a tagging strategy across cloud resources that aligns with application inventory identifiers for traceability.
  • Resolve conflicting ownership data by escalating to governance committees when application stewards cannot be identified.
  • Standardize technical attributes like runtime dependencies, middleware versions, and database connectivity patterns.
  • Document integration points and API dependencies by analyzing traffic patterns and service mesh telemetry.
  • Classify applications by migration fit (rehost, refactor, retire, replace) during metadata collection to inform downstream planning.

Module 4: Dependency Mapping and Interconnectivity Analysis

  • Use packet capture and distributed tracing tools to map east-west traffic between applications in hybrid environments.
  • Distinguish between hard dependencies (required for functionality) and soft dependencies (performance or monitoring related).
  • Identify and document shared databases that create tight coupling between applications, complicating migration sequencing.
  • Visualize dependency graphs while managing performance overhead from continuous monitoring agents.
  • Validate dependency maps with application teams to correct false positives generated by port scanning or log analysis.
  • Flag circular dependencies that may require refactoring before cloud migration can proceed safely.

Module 5: Risk Assessment and Compliance Alignment

  • Flag applications handling regulated data for enhanced review, requiring documented data residency and encryption practices.
  • Assess exposure of internet-facing applications with outdated dependencies or unpatched vulnerabilities.
  • Identify applications with hardcoded credentials or secrets that must be remediated before migration.
  • Map application controls to compliance frameworks (e.g., SOC 2, ISO 27001) to determine cloud suitability.
  • Document exceptions where legacy applications cannot meet cloud security baselines, requiring compensating controls.
  • Coordinate with legal and privacy teams to validate data processing agreements for third-party SaaS applications in the inventory.

Module 6: Migration Readiness Scoring and Prioritization

  • Develop a scoring model combining technical debt, business criticality, and interdependencies to sequence migration waves.
  • Adjust readiness scores based on team availability, skill gaps, and vendor support for legacy platforms.
  • Identify applications with no clear owner or documentation as candidates for retirement or quarantine.
  • Factor in licensing constraints (e.g., on-premises perpetual licenses) that affect cloud deployment models.
  • Use architectural assessment findings to downgrade readiness scores for monolithic applications lacking scalability.
  • Re-evaluate readiness after proof-of-concept migrations to refine scoring criteria across the portfolio.

Module 7: Governance, Maintenance, and Change Control

  • Implement automated validation rules to reject CMDB updates that omit required inventory fields.
  • Integrate inventory updates into change advisory board (CAB) workflows to ensure modifications are tracked.
  • Establish reconciliation cycles between the application inventory and cloud billing tools to detect unapproved deployments.
  • Assign responsibility for inventory accuracy to application owners with quarterly attestation requirements.
  • Configure alerts for orphaned resources that remain active after an application is marked for retirement.
  • Archive decommissioned applications with retention policies that support audit and forensic investigations.

Module 8: Integration with Migration Execution and Portfolio Management

  • Feed inventory data into migration tooling to auto-generate lift-and-shift playbooks for eligible workloads.
  • Sync application groupings and dependencies with project management tools to coordinate migration sprints.
  • Expose inventory APIs to finance teams for cloud cost allocation based on application ownership.
  • Use inventory health metrics (completeness, accuracy, timeliness) in executive reporting for migration oversight.
  • Adjust migration scope dynamically when new applications are discovered post-initial inventory.
  • Retire legacy monitoring configurations and DNS entries after verifying cloud cutover and DNS TTL expiration.
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