Skip to main content
Configuration Items in Event Management

Configuration Items in Event Management

$248.00
How you learn:
Self-paced • Lifetime updates
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.
Your guarantee:
30-day money-back guarantee — no questions asked
Who trusts this:
Trusted by professionals in 160+ countries
When you get access:
Course access is prepared after purchase and delivered via email
Adding to cart… The item has been added

This curriculum spans the breadth of a multi-workshop program typically delivered during a CMDB transformation initiative, addressing the same technical and organisational challenges encountered when aligning configuration management with event, change, and incident processes across hybrid and cloud-native environments.

Module 1: Defining and Classifying Configuration Items (CIs)

  • Selecting CI attributes based on operational ownership, change frequency, and impact scope across IT services.
  • Establishing naming conventions that support automated discovery and reduce ambiguity in multi-vendor environments.
  • Determining granularity of CIs—whether to model individual servers or logical clusters—based on monitoring and incident response needs.
  • Mapping business-critical applications to underlying CIs without overpopulating the CMDB with low-impact components.
  • Deciding when to decommission obsolete CIs versus retaining them for historical incident analysis.
  • Resolving conflicts between network, server, and application teams on CI ownership and classification boundaries.

Module 2: CI Discovery and Synchronization

  • Configuring agent-based versus agentless discovery tools to balance coverage, performance, and security compliance.
  • Scheduling discovery runs to avoid peak load periods while maintaining CMDB accuracy for real-time event correlation.
  • Handling discrepancies between discovered CI data and manually entered records during reconciliation cycles.
  • Integrating discovery tools with cloud infrastructure APIs to capture ephemeral instances and serverless components.
  • Implementing change windows for discovery scans in production environments to prevent service disruption.
  • Validating discovered relationships between CIs, especially across hybrid on-premises and cloud architectures.

Module 3: CI Relationships and Dependency Mapping

  • Modeling bidirectional dependencies between application tiers and database instances to support impact analysis.
  • Resolving circular dependency conflicts that prevent accurate root cause identification during outages.
  • Updating dependency maps after infrastructure refactoring without introducing stale or phantom links.
  • Using synthetic transactions to validate logical dependencies between CIs in dynamic microservices environments.
  • Managing inherited versus explicitly defined relationships in virtualized and containerized platforms.
  • Enforcing dependency review as part of the change advisory board (CAB) process for high-risk changes.

Module 4: Event Correlation Using CI Data

  • Configuring event rules to suppress redundant alerts based on CI health status and dependency topology.
  • Mapping incoming SNMP traps and log events to specific CIs when hostname resolution is inconsistent.
  • Adjusting correlation thresholds based on CI criticality and historical event patterns.
  • Handling events from decommissioned or temporarily offline CIs to prevent false alerts.
  • Integrating CI state data into event enrichment pipelines for faster triage by operations teams.
  • Designing correlation rules that account for CI failover states in clustered environments.

Module 5: Change Management Integration

  • Requiring CI impact assessment as a mandatory field in change requests for all standard, normal, and emergency changes.
  • Automatically linking change records to affected CIs and validating post-implementation configuration drift.
  • Blocking unauthorized configuration changes detected via monitoring tools when not associated with an approved change.
  • Using CI history to audit configuration deviations after incidents and assess change compliance.
  • Coordinating CI updates with change freeze periods in regulated environments.
  • Reconciling emergency changes with the CMDB within 24 hours to maintain event correlation accuracy.

Module 6: Incident and Problem Management Alignment

  • Auto-populating incident tickets with CI context, including ownership, SLA tier, and known dependencies.
  • Using CI impact scope to prioritize incident resolution and escalation paths during major events.
  • Identifying recurring incidents tied to specific CIs to trigger problem management investigations.
  • Validating CI status during incident diagnosis to rule out configuration drift as a root cause.
  • Updating CI records with known errors and workarounds derived from problem management databases.
  • Generating service outage reports based on affected CIs and their business service mappings.

Module 7: CMDB Governance and Data Integrity

  • Establishing data stewardship roles responsible for CI accuracy within each IT domain (network, storage, etc.).
  • Implementing audit schedules to verify CI completeness and correctness against discovery and monitoring tools.
  • Defining retention policies for CI historical data used in trend analysis and capacity planning.
  • Enforcing access controls on CI modifications to prevent unauthorized configuration updates.
  • Measuring CMDB health using KPIs such as discovery coverage, reconciliation success rate, and stale record percentage.
  • Resolving data ownership disputes between teams during mergers, acquisitions, or organizational restructuring.

Module 8: Scalability and Integration with Modern Architectures

  • Modeling CIs in Kubernetes environments using labels and namespaces instead of static hostnames.
  • Handling short-lived CIs in serverless computing by capturing execution context for event tracing.
  • Integrating CI data with AIOps platforms to train anomaly detection models on configuration states.
  • Extending CI schemas to support infrastructure-as-code (IaC) artifacts like Terraform modules and Helm charts.
  • Synchronizing CI records across multiple CMDB instances in federated enterprise environments.
  • Using API gateways to expose CI data securely to DevOps and SRE teams without compromising data integrity.
!