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Information Technology in IT Operations Management

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This curriculum spans the design and implementation of integrated IT operations practices seen in multi-workshop organizational transformations, covering governance, automation, and resilience activities comparable to those conducted in enterprise-wide operational readiness programs.

Module 1: Strategic Alignment of IT Operations with Business Objectives

  • Define service level agreements (SLAs) in collaboration with business units to align incident resolution timelines with operational criticality.
  • Map IT service portfolios to business capabilities to prioritize investment in high-impact services.
  • Establish a governance committee with business stakeholders to review IT operational performance quarterly.
  • Decide which legacy systems to decommission based on business usage metrics and total cost of ownership.
  • Integrate IT operations key performance indicators (KPIs) into enterprise dashboards for executive visibility.
  • Conduct annual risk assessments to evaluate IT operational resilience against business continuity requirements.

Module 2: Service Desk and Incident Management Optimization

  • Implement a tiered support model with defined escalation paths to reduce mean time to resolution (MTTR).
  • Configure automated ticket routing based on incident category, priority, and support team availability.
  • Standardize incident classification codes to enable accurate trend analysis and root cause identification.
  • Balance self-service adoption with agent staffing levels to maintain service quality during peak demand.
  • Enforce mandatory knowledge article creation for resolved high-priority incidents to reduce recurrence.
  • Integrate monitoring tools with the service desk to auto-create incidents from system alerts.

Module 3: Change and Configuration Management Governance

  • Define change advisory board (CAB) membership based on system criticality and change impact scope.
  • Classify changes into standard, normal, and emergency categories with differentiated approval workflows.
  • Maintain a configuration management database (CMDB) with automated discovery and manual validation cycles.
  • Enforce pre-change risk assessments for changes affecting production environments with interdependent services.
  • Implement peer review requirements for configuration scripts used in automated deployments.
  • Conduct post-implementation reviews for failed or rolled-back changes to update change risk models.

Module 4: Monitoring, Alerting, and Observability Architecture

  • Select monitoring tools based on technology stack coverage, scalability, and integration with existing ITSM platforms.
  • Define alert thresholds using historical performance baselines to reduce false positives.
  • Implement distributed tracing for microservices to isolate latency bottlenecks across service boundaries.
  • Design synthetic transaction monitoring for customer-facing applications to proactively detect outages.
  • Consolidate logs from heterogeneous sources into a centralized platform with role-based access controls.
  • Balance monitoring granularity with storage costs by implementing data retention and archival policies.

Module 5: Automation and Orchestration in Operations

  • Identify repetitive operational tasks (e.g., user provisioning, patching) for automation based on frequency and error rate.
  • Develop runbooks in an orchestration platform with conditional logic and manual approval checkpoints.
  • Integrate automation workflows with change management to ensure auditability and compliance.
  • Implement role-based access to automation tools to prevent unauthorized execution of privileged actions.
  • Test automated scripts in staging environments with production-like data and configurations.
  • Monitor automation job success rates and update scripts to handle edge cases and system drift.

Module 6: Capacity and Performance Management

  • Forecast infrastructure capacity needs using historical utilization trends and business growth projections.
  • Implement right-sizing policies for virtual machines based on CPU, memory, and I/O utilization data.
  • Conduct performance testing before major application releases to validate infrastructure readiness.
  • Negotiate cloud reserved instance commitments based on predictable workload patterns.
  • Identify performance bottlenecks in database queries and coordinate tuning with application teams.
  • Establish capacity thresholds that trigger proactive scaling or resource re-allocation.

Module 7: Operational Security and Compliance Integration

  • Enforce least-privilege access for operational accounts used in system administration and monitoring.
  • Integrate vulnerability scanning into patch management workflows with defined remediation SLAs.
  • Log and audit privileged operations (e.g., admin logins, configuration changes) for forensic analysis.
  • Align operational controls with regulatory frameworks such as ISO 27001, SOC 2, or HIPAA.
  • Conduct periodic access reviews for operational systems to remove orphaned or excessive permissions.
  • Implement secure configuration baselines for servers, network devices, and cloud services.

Module 8: Continuity, Disaster Recovery, and Resilience Planning

  • Define recovery time objectives (RTO) and recovery point objectives (RPO) for critical systems based on business impact analysis.
  • Architect multi-region failover capabilities for cloud-hosted applications with data replication strategies.
  • Test disaster recovery plans annually using controlled failover scenarios with stakeholder participation.
  • Validate backup integrity through periodic restoration of application data in isolated environments.
  • Document dependencies between systems to sequence recovery operations during outages.
  • Maintain offline copies of critical recovery runbooks and contact lists accessible during network outages.