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Configuration Items in Problem Management

Configuration Items in Problem Management

$248.00
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Course access is prepared after purchase and delivered via email
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Self-paced • Lifetime updates
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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 Configuration Items in Problem Management course cover?

Configuration Items in Problem Management is covered here in 8 modules: Defining and Scoping Configuration Items (CIs) in Problem Management, CI Data Model Design and Attribute Governance, CI Discovery and Data Synchronization and 5 more. The outline lists 48 specific topics, opening with selecting which IT assets and services qualify as CIs based on business criticality, change frequency, and interdependencies.

How do you approach Configuration Items in Problem Management step by step?

The work is sequenced in 8 stages. It starts with Defining and Scoping Configuration Items (CIs) in Problem Management, moves through CI Data Model Design and Attribute Governance and CI Discovery and Data Synchronization, and ends at Continuous Improvement and Performance Measurement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Configuration Items in Problem Management course?

Module 1 is Defining and Scoping Configuration Items (CIs) in Problem Management. It works through selecting which IT assets and services qualify as CIs based on business criticality, change frequency, and interdependencies., establishing CI ownership across teams to ensure accountability for data accuracy and lifecycle updates., deciding whether to include transient or ephemeral components (e.g., containers, serverless functions) in the CI baseline.

How is the Configuration Items in Problem Management course delivered?

The Configuration Items in Problem Management 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 Configuration Items in Problem Management course cost?

The Configuration Items in Problem Management course is $250 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: Configuration Items in Configuration Management Database, Configuration Items in Service Desk, Configuration Items in Incident Management, Configuration Items in Event Management.

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

This curriculum spans the design, governance, and operational integration of configuration items in problem management, comparable to a multi-workshop program that aligns CMDB practices with real-world incident tracing, dependency analysis, and cross-team accountability in complex IT environments.

Module 1: Defining and Scoping Configuration Items (CIs) in Problem Management

  • Selecting which IT assets and services qualify as CIs based on business criticality, change frequency, and interdependencies.
  • Establishing CI ownership across teams to ensure accountability for data accuracy and lifecycle updates.
  • Deciding whether to include transient or ephemeral components (e.g., containers, serverless functions) in the CI baseline.
  • Mapping CI scope to incident and problem record thresholds to avoid over-instrumentation of low-impact components.
  • Integrating service topology data with CI definitions to reflect actual operational dependencies, not just inventory lists.
  • Resolving conflicts between CMDB structure and existing monitoring tool hierarchies during CI classification.

Module 2: CI Data Model Design and Attribute Governance

  • Choosing mandatory versus optional attributes for CIs based on problem diagnosis requirements, not inventory completeness.
  • Standardizing naming conventions across domains (network, application, cloud) to prevent duplication and misattribution.
  • Defining lifecycle states (e.g., in design, live, retired) and enforcing state transitions through change control integration.
  • Implementing data validation rules at CI creation or update points to reduce manual cleanup efforts.
  • Managing versioning for configuration items that undergo frequent updates (e.g., microservices, APIs).
  • Aligning CI classification schemas with industry frameworks (e.g., ITIL, CMDB federation standards) without over-engineering.

Module 3: CI Discovery and Data Synchronization

  • Configuring discovery tools to reconcile automatically detected components with manually managed CIs in hybrid environments.
  • Setting reconciliation rules to handle conflicting CI attributes from multiple data sources (e.g., IPAM vs. cloud APIs).
  • Determining discovery frequency based on infrastructure volatility and problem detection latency requirements.
  • Excluding non-relevant or test environments from production CMDB population to maintain signal integrity.
  • Handling authentication and access scope for discovery agents across segmented or air-gapped networks.
  • Implementing audit trails for automated CI modifications to support root cause analysis during data drift incidents.

Module 4: Integrating CIs with Problem Management Workflows

  • Enforcing mandatory CI linking during problem record creation to ensure traceability from symptoms to infrastructure.
  • Configuring impact assessments in problem records based on CI criticality and service mapping data.
  • Automating the identification of recurring problems by analyzing historical incidents tied to specific CIs.
  • Using CI relationships to prioritize problem investigations when multiple systems exhibit correlated failures.
  • Designing problem escalation paths based on CI ownership and support tier assignments.
  • Validating CI accuracy during major problem reviews to correct misclassified or outdated configuration data.

Module 5: Relationship and Dependency Modeling for Root Cause Analysis

  • Populating bidirectional relationships (e.g., runs on, depends on) with verified operational data, not assumed topology.
  • Managing dynamic dependencies in cloud-native environments where service connections are runtime-determined.
  • Using dependency maps to simulate cascading failures during problem diagnosis sessions.
  • Resolving circular dependency declarations that prevent accurate impact propagation in problem models.
  • Integrating APM and network flow data to validate or correct declared CI relationships.
  • Defining relationship criticality levels to filter noise during major incident triage.

Module 6: Data Quality, Auditing, and Compliance

  • Scheduling periodic CI audits aligned with change freeze windows to minimize operational disruption.
  • Assigning responsibility for CI data remediation when discrepancies are found during audits.
  • Generating compliance reports that link problem management outcomes to CI data accuracy metrics.
  • Implementing automated anomaly detection for unexpected CI attribute changes (e.g., sudden IP address shift).
  • Defining SLAs for CI data correction based on problem resolution timelines.
  • Integrating CMDB health metrics into service performance dashboards for executive visibility.

Module 7: Tool Integration and Automation Strategies

  • Configuring API-based synchronization between CMDB and problem management systems to reduce latency.
  • Mapping CI field updates to automated problem record updates during change implementation.
  • Using webhooks to trigger problem investigation workflows when critical CIs enter degraded states.
  • Designing middleware to normalize CI data formats across legacy and modern toolchains.
  • Implementing role-based access controls for CI modifications to prevent unauthorized changes.
  • Automating backup and restore procedures for CI data to support disaster recovery testing.

Module 8: Continuous Improvement and Performance Measurement

  • Tracking mean time to identify faulty CIs as a KPI for problem diagnosis efficiency.
  • Correlating CMDB accuracy rates with problem recurrence frequency across service lines.
  • Refining CI scope based on post-incident reviews that reveal missing or incorrect dependencies.
  • Adjusting discovery and reconciliation logic based on false-positive problem correlations.
  • Conducting quarterly reviews of CI attribute relevance to eliminate obsolete or unused fields.
  • Measuring user adoption of CI linking in problem records and addressing workflow bottlenecks.
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