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Application Discovery in Cloud Migration

Application Discovery in Cloud Migration

$247.00
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Trusted by professionals in 160+ countries
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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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What does the Application Discovery in Cloud Migration course cover?

Application Discovery in Cloud Migration is covered here in 8 modules: Defining Application Inventory and Classification Frameworks, Discovery Tool Selection and Deployment Strategy, Dependency Mapping and Service Interconnectivity Analysis and 5 more. The outline lists 48 specific topics, opening with selecting criteria for application criticality scoring based on business impact, user count, and revenue dependency.

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

The work is sequenced in 8 stages. It starts with Defining Application Inventory and Classification Frameworks, moves through Discovery Tool Selection and Deployment Strategy and Dependency Mapping and Service Interconnectivity Analysis, and ends at Continuous Application Governance and Post-Migration Validation. Each stage carries its own topic list, so the sequence is followed rather than summarised.

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

Module 1 is Defining Application Inventory and Classification Frameworks. It works through selecting criteria for application criticality scoring based on business impact, user count, and revenue dependency., deciding between automated discovery tools and manual inventory collection based on environment heterogeneity and legacy system presence., establishing ownership attribution rules when application stewards are unassigned or decentralized across business units. and 3 more.

How is the Application Discovery in Cloud Migration course delivered?

The Application Discovery 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 Discovery in Cloud Migration course cost?

The Application Discovery 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 Discovery Toolkit, Integration Discovery in Application Development, Component Discovery in Application Development, Knowledge Discovery in Application Management.

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

This curriculum spans the full lifecycle of application discovery and assessment in cloud migration, comparable to a multi-phase advisory engagement involving technical audits, cross-functional governance, and environment-specific planning across hybrid and cloud environments.

Module 1: Defining Application Inventory and Classification Frameworks

  • Selecting criteria for application criticality scoring based on business impact, user count, and revenue dependency.
  • Deciding between automated discovery tools and manual inventory collection based on environment heterogeneity and legacy system presence.
  • Establishing ownership attribution rules when application stewards are unassigned or decentralized across business units.
  • Classifying applications by technical debt level using codebase age, dependency sprawl, and patch frequency metrics.
  • Resolving conflicts between IT asset management records and actual runtime instances in hybrid environments.
  • Standardizing naming conventions for applications across business, technical, and operational contexts to avoid duplication.

Module 2: Discovery Tool Selection and Deployment Strategy

  • Evaluating agent-based versus agentless discovery tools based on OS support, network segmentation, and security policy constraints.
  • Configuring discovery scan frequency to balance data freshness with network bandwidth and system performance impact.
  • Integrating discovery tools with existing CMDBs while managing schema mismatches and reconciliation logic.
  • Handling encrypted traffic during dependency mapping by coordinating with security teams for decryption exceptions.
  • Validating tool accuracy by cross-referencing discovered services with firewall rules and load balancer configurations.
  • Managing privileged account access for discovery tools across multiple domains and cloud providers under least-privilege principles.

Module 3: Dependency Mapping and Service Interconnectivity Analysis

  • Distinguishing between direct and indirect dependencies using network flow data versus configuration management records.
  • Identifying hidden dependencies through log correlation when applications communicate via message queues or file drops.
  • Deciding when to use passive network monitoring versus active probing for dependency validation in production environments.
  • Documenting time-bound dependencies such as batch jobs or scheduled integrations that may not appear in real-time scans.
  • Resolving circular dependency reports caused by misconfigured monitoring agents or DNS aliases.
  • Mapping cross-cloud dependencies in multi-account AWS or multi-tenant Azure environments using VPC and peering data.

Module 4: Technical Assessment and Migration Readiness Scoring

  • Assessing database compatibility with target cloud platforms based on version support and extension dependencies.
  • Determining containerization feasibility by analyzing stateful components, file system usage, and license constraints.
  • Calculating egress cost implications for applications with high outbound data transfer volumes.
  • Evaluating licensing models for third-party software under cloud consumption-based pricing.
  • Identifying applications requiring refactoring due to hardcoded IP addresses or on-prem DNS dependencies.
  • Using performance baselines to project cloud resource requirements and avoid overprovisioning.

Module 5: Business and Risk Impact Prioritization

  • Aligning migration sequencing with business calendar constraints such as fiscal closing or peak transaction periods.
  • Assessing regulatory exposure when moving applications handling PII across geographic regions.
  • Conducting downtime tolerance analysis with business units to define acceptable cutover windows.
  • Documenting fallback procedures for applications with untested rollback mechanisms in cloud environments.
  • Engaging legal teams to review SLAs and data residency clauses before initiating migration.
  • Weighting migration priority based on cost savings potential versus strategic business value.

Module 6: Stakeholder Alignment and Governance Coordination

  • Establishing a cross-functional application review board to resolve ownership disputes and migration blockers.
  • Defining escalation paths for applications with conflicting assessments from security, compliance, and operations teams.
  • Creating standardized documentation templates for migration decisions to ensure auditability.
  • Coordinating change advisory board (CAB) approvals for discovery-related configuration changes in production.
  • Managing communication cadence with business units during prolonged assessment phases.
  • Enforcing data governance policies for storing application inventory and dependency data in shared systems.

Module 7: Cloud Landing Zone and Target Environment Planning

  • Mapping application tiers to cloud networking constructs such as subnets, security groups, and NSGs.
  • Designing identity federation requirements for applications using on-prem Active Directory.
  • Allocating cloud accounts or subscriptions based on application sensitivity and compliance boundaries.
  • Planning DNS and hostname resolution strategies for hybrid name resolution during cutover.
  • Configuring monitoring and logging pipelines before migration to ensure post-go-live observability.
  • Implementing tagging standards for cost allocation and resource ownership tracking in the cloud.

Module 8: Continuous Application Governance and Post-Migration Validation

  • Implementing automated drift detection to monitor configuration changes post-migration.
  • Re-running dependency discovery after migration to validate service connectivity in the cloud.
  • Updating CMDB records with cloud-specific attributes such as instance IDs and region placement.
  • Establishing performance threshold alerts to detect degradation after environment transition.
  • Conducting periodic reclassification of applications to reflect changes in business criticality or technical stack.
  • Integrating discovery data into FinOps processes for accurate cloud cost attribution by application.
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