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Application Inventory in Cloud Migration

Application Inventory in Cloud Migration

$248.00
When you get access:
Course access is prepared after purchase and delivered via email
Toolkit Included:
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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What does the Application Inventory in Cloud Migration course cover?

Application Inventory in Cloud Migration is covered here in 8 modules: Defining Scope and Establishing Inventory Objectives, Discovery Methodology and Tool Integration, Application Metadata Standardization and 5 more. The outline lists 48 specific topics, opening with select which business units or divisions will be included in the initial inventory sweep based on migration readiness and stakeholder alignment.

How do you approach Application Inventory in Cloud Migration step by step?

The work is sequenced in 8 stages. It starts with Defining Scope and Establishing Inventory Objectives, moves through Discovery Methodology and Tool Integration and Application Metadata Standardization, and ends at Integration with Migration Execution and Portfolio Management. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Application Inventory in Cloud Migration course?

Module 1 is Defining Scope and Establishing Inventory Objectives. It works through 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.

How is the Application Inventory in Cloud Migration course delivered?

The Application Inventory in Cloud Migration course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Application Inventory in Cloud Migration course cost?

The Application Inventory in Cloud Migration course is $247 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Application Migration Toolkit, Web Application Migration in Cloud Migration, Migration Phase in Data Inventory Dataset, Data Migration in Application Management.

More answers: what you get with every course, refund policy, all help answers.

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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