Description

This curriculum spans the design and execution of integrated IT operations practices across governance, incident response, and service delivery, comparable to a multi-phase advisory engagement addressing service operation maturity in complex, hybrid environments.

Module 1: Service Operation Principles and Operational Governance

Establish service ownership models to assign accountability for availability, performance, and incident resolution across multi-vendor environments.
Define operational hours and support tiers aligned with business-critical processes, including escalation paths for after-hours incidents.
Implement change advisory board (CAB) procedures that balance agility with risk mitigation for standard, normal, and emergency changes.
Document and enforce service operation policies for access control, data handling, and compliance with industry-specific regulations (e.g., SOX, HIPAA).
Integrate service operation objectives into SLAs and OLAs, ensuring measurable KPIs for resolution times and service availability.
Conduct regular service reviews with stakeholders to validate operational alignment with evolving business requirements.

Module 2: Event and Monitoring Management

Design a tiered monitoring architecture that correlates infrastructure, application, and business transaction metrics to reduce alert noise.
Select monitoring tools based on scalability, integration capabilities with existing ITSM platforms, and support for hybrid cloud environments.
Implement threshold-based and anomaly-driven alerting to detect performance degradation before service impact occurs.
Configure event filters and suppression rules to prevent alert storms during known maintenance or cascading failures.
Assign event ownership to technical teams based on system domain, ensuring rapid triage and response accountability.
Integrate synthetic transaction monitoring to proactively validate end-user experience for critical business services.

Module 3: Incident Management

Classify incidents using impact and urgency matrices to prioritize response and allocate resources effectively.
Implement automated incident routing based on error codes, affected services, and historical resolution patterns.
Develop known error databases (KEDB) linked to the CMDB to accelerate diagnosis and workaround application.
Enforce mandatory incident documentation, including timestamps, actions taken, and root cause hypotheses, for audit and analysis.
Coordinate major incident management with cross-functional teams using predefined communication templates and war room procedures.
Conduct post-incident reviews to identify systemic gaps and feed findings into problem management and training programs.

Module 4: Problem Management

Initiate problem records for recurring incidents, chronic performance issues, or vulnerabilities identified during security audits.
Apply root cause analysis techniques such as Ishikawa diagrams or 5 Whys to technical failures involving distributed systems.
Coordinate with development and infrastructure teams to validate permanent fixes and test patches in pre-production environments.
Track problem resolution timelines against SLA targets, particularly for high-impact or long-standing issues.
Integrate problem data with change management to ensure resolution changes are properly assessed and implemented.
Use trend analysis from incident and event data to proactively identify potential problems before widespread impact.

Module 5: Request Fulfillment and Service Desk Operations

Design catalog-based request models for standard services (e.g., access provisioning, software installs) with automated approval workflows.
Implement self-service portal capabilities while maintaining audit trails and access controls for sensitive requests.
Measure service desk performance using first contact resolution rate, request fulfillment cycle time, and user satisfaction scores.
Integrate identity management systems with request fulfillment to automate user provisioning and deprovisioning.
Train service desk analysts on technical escalation paths and knowledge article usage to reduce resolution delays.
Enforce request categorization and prioritization to align fulfillment capacity with business demand patterns.

Module 6: Access Management and Identity Operations

Implement role-based access control (RBAC) models aligned with job functions and least privilege principles.
Automate access provisioning and review processes using identity governance tools integrated with HR systems.
Enforce periodic access recertification campaigns for privileged and sensitive system accounts.
Respond to access revocation requests within defined SLAs following employee offboarding or role changes.
Monitor for anomalous access patterns using SIEM integration and trigger alerts for potential privilege misuse.
Coordinate with security teams to audit access logs during incident investigations and compliance assessments.

Module 7: Continual Service Improvement and Operational Reporting

Define a balanced scorecard of operational metrics covering availability, incident volume, MTTR, and change success rate.
Conduct baseline assessments of current service performance to measure improvement initiatives over time.
Use Pareto analysis to identify the 20% of systems or services responsible for 80% of incidents or outages.
Facilitate cross-team workshops to prioritize improvement opportunities based on business impact and effort.
Integrate feedback from incident reviews, user surveys, and audit findings into the CSI register.
Validate the effectiveness of implemented improvements through controlled A/B testing or before-and-after performance comparisons.

Module 8: Integration with Change, Configuration, and Release Management

Enforce mandatory CMDB updates as part of the change implementation process to maintain configuration accuracy.
Validate change success through post-implementation reviews that include performance monitoring and incident trend analysis.
Coordinate release schedules with operations teams to minimize service disruption during deployment windows.
Implement automated rollback procedures for failed releases, with predefined criteria for activation.
Use change failure rate and rollback frequency as KPIs to assess release quality and team readiness.
Integrate deployment automation tools with monitoring systems to trigger health checks immediately after release completion.