Description

This curriculum spans the end-to-end workflow of a multi-phase systems review engagement, comparable to those conducted by internal audit and enterprise architecture teams during application portfolio rationalization initiatives.

Module 1: Defining Scope and Stakeholder Alignment

Determine which applications qualify for inclusion in the review based on business criticality, technical debt, and support cost thresholds.
Negotiate access to system documentation with application owners who may restrict visibility due to compliance or intellectual property concerns.
Map application dependencies to business processes by conducting structured interviews with process owners who lack technical fluency.
Resolve conflicting priorities between IT operations, security, and business units when scoping system boundaries for review.
Document legacy integrations that lack formal specifications by reverse-engineering data flows and API call patterns.
Establish data classification levels for applications handling regulated data to determine review depth and reporting requirements.

Module 2: Data Collection and Inventory Validation

Integrate outputs from automated discovery tools with manual inputs to reconcile discrepancies in application versioning and deployment locations.
Verify ownership records in the CMDB when stakeholders have changed roles or departments without updating asset assignments.
Decide whether to include shadow IT applications reported by end-users but absent from official inventories.
Standardize naming conventions across disparate systems to enable accurate cross-referencing of components.
Assess completeness of license tracking data when procurement records are fragmented across business units.
Identify dormant or orphaned instances in cloud environments that continue to incur operational costs.

Module 3: Performance and Reliability Assessment

Interpret APM tool data when baseline performance metrics are unavailable due to historical monitoring gaps.
Correlate incident ticket trends with release cycles to determine whether outages stem from deployment practices or architectural flaws.
Diagnose latency issues in distributed applications where monitoring only covers front-end response times.
Validate SLA compliance claims by comparing vendor reports with internal telemetry data.
Assess the impact of third-party service degradation on end-user experience when direct control is limited.
Balance sampling rates in monitoring configurations to avoid performance overhead while retaining diagnostic fidelity.

Module 4: Security and Compliance Evaluation

Classify vulnerabilities by exploitability rather than CVSS score when patching is constrained by vendor support agreements.
Document compensating controls for systems that cannot meet baseline security standards due to technical limitations.
Coordinate penetration test scheduling with business units to avoid disruption during peak transaction periods.
Verify encryption in transit and at rest across hybrid environments where key management practices vary.
Reconcile audit log retention policies with legal hold requirements for regulated workloads.
Assess identity federation configurations for privilege escalation risks in multi-tenant application architectures.

Module 5: Technical Debt and Architecture Review

Quantify refactoring effort for monolithic applications by analyzing coupling metrics and deployment frequency data.
Evaluate the feasibility of containerization for legacy applications with hardcoded dependencies on physical infrastructure.
Identify anti-patterns in integration logic, such as point-to-point connections that impede scalability.
Assess database schema evolution practices to determine risk of data inconsistency during upgrades.
Review API versioning strategies to determine backward compatibility and deprecation timelines.
Document technical constraints that prevent adoption of modern DevOps practices, such as lack of test automation.

Module 6: Cost and Resource Optimization

Allocate cloud compute costs to business units using tagging strategies when tags are inconsistently applied.
Compare TCO of on-premises versus cloud-hosted instances, factoring in hidden costs like data egress and support labor.
Negotiate right-sizing of over-provisioned instances with application teams who resist performance risk.
Identify opportunities to consolidate redundant applications serving similar business functions.
Model cost implications of retirement timelines for end-of-life software requiring extended support contracts.
Assess licensing models (per-core, per-user, subscription) to determine optimal fit for variable workloads.

Module 7: Change Management and Transition Planning

Develop rollback procedures for application decommissioning when downstream systems lack alternative data sources.
Coordinate cutover schedules with business units that operate across multiple time zones and fiscal calendars.
Define data archival protocols for retired applications to meet regulatory retention requirements.
Negotiate training responsibilities for successor systems between vendor, IT, and business teams.
Validate data migration accuracy by reconciling record counts and business key integrity post-transition.
Establish post-implementation review criteria to assess whether performance and cost targets were achieved.

Module 8: Governance and Continuous Oversight

Define review cadence for applications based on risk tier, with high-criticality systems reviewed quarterly.
Integrate findings into portfolio management processes to influence future investment and retirement decisions.
Enforce standardization of review artifacts to ensure auditability and comparability across business units.
Monitor drift from approved architectures using policy-as-code frameworks in cloud environments.
Update risk registers with findings from system reviews to inform enterprise risk management reporting.
Adjust governance thresholds based on organizational changes, such as M&A activity or new regulatory mandates.