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Service asset and configuration management in Release and Deployment Management

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This curriculum spans the design and operational execution of configuration management practices across release and deployment lifecycles, comparable in scope to a multi-workshop program that integrates CMDB governance, pipeline controls, and cross-functional service management processes in complex hybrid environments.

Module 1: Defining Configuration Management Scope and Governance

  • Selecting which IT services and infrastructure components require configuration management based on business criticality and change frequency.
  • Establishing ownership of configuration items (CIs) across distributed teams, particularly in hybrid cloud and legacy environments.
  • Deciding whether to include third-party SaaS applications in the configuration management database (CMDB) and how to maintain their data accuracy.
  • Implementing role-based access controls for CMDB updates to prevent unauthorized modifications while enabling operational efficiency.
  • Resolving conflicts between DevOps self-service practices and centralized CMDB governance requirements.
  • Defining reconciliation frequency for CI data across discovery tools, change records, and manual inputs to maintain integrity.

Module 2: Integrating Service Asset Management with Release Pipelines

  • Mapping application release versions to specific CI records in the CMDB to ensure traceability across environments.
  • Enforcing mandatory asset tagging during build and deployment phases to support compliance and cost tracking.
  • Automating the creation of CIs for ephemeral infrastructure (e.g., containers, serverless functions) without overpopulating the CMDB.
  • Aligning asset lifecycle states (e.g., development, production, retired) with deployment stage gates in CI/CD pipelines.
  • Handling asset ownership handoffs from development to operations teams during production deployment.
  • Integrating license compliance checks into the release pipeline for proprietary software components.

Module 3: Designing and Maintaining the Configuration Management Database (CMDB)

  • Selecting data sources for CI discovery (e.g., agent-based tools, API integrations, manual entry) based on accuracy, performance, and coverage trade-offs.
  • Defining attribute granularity for CIs—balancing operational usefulness against data maintenance overhead.
  • Modeling relationships between CIs (e.g., application-to-server, service-to-database) to support impact analysis without creating brittle dependencies.
  • Handling duplicate CI records generated by multiple discovery tools or inconsistent naming conventions.
  • Implementing automated data validation rules to flag stale or incomplete CI records.
  • Managing schema changes in the CMDB without disrupting downstream integrations with incident, change, or monitoring systems.

Module 4: Release Packaging and Configuration Baselines

  • Creating immutable release packages that include version-locked configuration files and dependencies.
  • Establishing baseline configurations for each environment (dev, test, prod) and controlling drift through automated checks.
  • Embedding environment-specific configuration parameters outside of code while maintaining auditability.
  • Using configuration management tools (e.g., Ansible, Puppet) to enforce consistent state across target deployment nodes.
  • Validating configuration baselines against security and compliance policies prior to deployment.
  • Managing rollback procedures that restore both application code and configuration to a known good state.

Module 5: Deployment Automation and Configuration Consistency

  • Designing deployment workflows that synchronize code, configuration, and data migrations without race conditions.
  • Handling configuration drift detection during deployment by comparing actual state to declared configuration.
  • Integrating configuration validation into pre-deployment gates using automated testing and policy-as-code tools.
  • Coordinating configuration updates across interdependent services in a microservices architecture.
  • Managing secrets (e.g., API keys, passwords) in configuration files using secure vault integrations.
  • Logging and auditing all configuration changes made during deployment for forensic and compliance purposes.

Module 6: Change and Configuration Control Integration

  • Requiring change requests to include updates to CI records when modifying configuration in production.
  • Automatically linking deployment records to approved change tickets for audit trail completeness.
  • Enforcing configuration review gates within the change approval process for high-risk modifications.
  • Handling emergency deployments that bypass standard change control while ensuring post-hoc CMDB updates.
  • Using configuration impact analysis to assess change risk and determine approval authority levels.
  • Reconciling configuration changes made outside formal processes by operations teams during incident resolution.

Module 7: Monitoring, Auditing, and Continuous Improvement

  • Implementing automated CMDB health checks to identify data inconsistencies or integration failures.
  • Conducting periodic audits to verify alignment between actual infrastructure and CMDB records.
  • Generating compliance reports that demonstrate configuration control for regulatory requirements (e.g., SOX, HIPAA).
  • Using configuration data to improve mean time to repair (MTTR) by accelerating root cause analysis.
  • Measuring CI data accuracy and completeness as a KPI for service asset management performance.
  • Refining configuration models based on feedback from incident, problem, and change management processes.

Module 8: Cross-Functional Integration with IT Service Management

  • Enabling incident management teams to use CI relationships for faster impact assessment during outages.
  • Providing problem management with historical configuration data to identify recurring failure patterns.
  • Supporting capacity planning with accurate configuration data on resource utilization and dependencies.
  • Integrating deployment schedules with availability management to minimize service disruption.
  • Sharing configuration baselines with security teams for vulnerability scanning and patch management.
  • Aligning service catalog entries with underlying CIs to ensure accurate service documentation and reporting.