This curriculum spans the design and governance of enterprise-scale IT operations, comparable to a multi-phase advisory engagement that integrates strategic alignment, financial oversight, risk management, and organizational change across technology and business units.
Module 1: Aligning IT Operations with Enterprise Strategy
- Define service-level objectives (SLOs) in coordination with business unit leaders to reflect revenue-critical workflows.
- Select which legacy systems to maintain, modernize, or decommission based on alignment with 3-year business roadmaps.
- Negotiate operational SLAs with finance and supply chain departments to codify uptime and response time expectations.
- Map IT service dependencies to business capabilities using a capability-modeling framework (e.g., TOGAF).
- Establish a quarterly IT-business portfolio review to reprioritize initiatives based on shifting strategic goals.
- Integrate IT risk appetite statements into enterprise risk management frameworks for executive oversight.
- Develop a service catalog with cost attribution models to enable chargeback/showback accountability.
Module 2: Designing Scalable and Resilient Operational Architectures
- Decide between active-active vs. active-passive data center configurations based on RTO/RPO requirements and cost tolerance.
- Implement multi-region cloud deployments with DNS failover mechanisms for critical customer-facing applications.
- Standardize on container orchestration platforms (e.g., Kubernetes) to enable consistent deployment across hybrid environments.
- Enforce infrastructure-as-code (IaC) policies using Terraform or CloudFormation with mandatory peer review gates.
- Design network segmentation strategies that balance security isolation with operational monitoring needs.
- Configure auto-scaling policies using predictive analytics and historical load patterns, not just thresholds.
- Integrate chaos engineering practices into release cycles to validate system resilience under failure conditions.
Module 3: Governance, Risk, and Compliance in Operations
- Implement automated compliance scanning for cloud configurations using tools like AWS Config or Azure Policy.
- Establish segregation of duties between development, operations, and security teams in CI/CD pipelines.
- Conduct quarterly access reviews for privileged accounts (e.g., root, domain admin) with documented approvals.
- Map operational controls to regulatory frameworks (e.g., SOC 2, HIPAA, GDPR) using control-matrix documentation.
- Deploy immutable logging with write-once storage to prevent tampering during forensic investigations.
- Define incident escalation paths that align with legal and PR requirements for breach disclosure timelines.
- Integrate third-party vendor risk assessments into the procurement process for SaaS and managed services.
Module 4: Financial Management and Cost Optimization
- Right-size cloud instances using utilization data and performance baselines, not vendor recommendations.
- Negotiate reserved instance commitments across AWS, Azure, or GCP based on 12-month usage forecasts.
- Implement tagging standards for cloud resources to enable accurate cost allocation by department and project.
- Establish showback reports for application teams to drive accountability for infrastructure spending.
- Decommission orphaned resources (e.g., unattached disks, idle load balancers) through automated workflows.
- Compare TCO of on-premises vs. cloud-hosted workloads using depreciation schedules and operational overhead.
- Enforce budget alerts with automated throttling or shutdowns when cost thresholds are exceeded.
Module 5: Service Delivery and Operational Excellence
- Implement incident management workflows with severity-based routing and auto-assignment rules.
- Standardize post-incident reviews (PIRs) with root cause analysis and action tracking in Jira or ServiceNow.
- Design self-service portals for common requests (e.g., VM provisioning, access grants) with approval workflows.
- Integrate monitoring tools (e.g., Datadog, Prometheus) with ticketing systems to reduce mean time to detect (MTTD).
- Define and track operational KPIs such as change success rate, mean time to repair (MTTR), and incident recurrence.
- Enforce change advisory board (CAB) reviews for high-risk changes, with rollback plans required.
- Automate routine operational tasks (e.g., patching, backups) using runbooks in tools like Ansible or RunDeck.
Module 6: Strategic Sourcing and Vendor Management
- Conduct RFP processes for managed service providers with defined SLAs, exit clauses, and audit rights.
- Negotiate master service agreements (MSAs) that include performance penalties and data ownership terms.
- Perform quarterly business reviews (QBRs) with vendors to assess service delivery and innovation commitments.
- Standardize API contracts with SaaS providers to ensure interoperability and avoid lock-in.
- Evaluate multi-sourcing strategies to prevent overreliance on a single cloud provider or MSP.
- Implement vendor risk scoring based on security posture, financial stability, and support responsiveness.
- Document knowledge transfer requirements for vendor transitions to maintain operational continuity.
Module 7: Workforce Strategy and Talent Development
- Define role-based certification paths for cloud, security, and automation skills aligned with operational needs.
- Rotate staff across on-call duties with fatigue management rules (e.g., no more than 2 consecutive weeks).
- Establish cross-training programs to reduce key-person dependencies in critical systems.
- Implement skills gap assessments using hands-on labs or scenario-based evaluations.
- Design hybrid work policies that support 24/7 operations without compromising team well-being.
- Create escalation ladders with named alternates for all critical operational roles.
- Integrate DevOps and SRE principles into job descriptions and performance metrics.
Module 8: Continuous Improvement and Strategic Review
- Conduct annual technology refresh assessments to evaluate hardware, software, and cloud service viability.
- Perform benchmarking against industry peers on operational metrics (e.g., downtime, deployment frequency).
- Review architecture review board (ARB) decisions quarterly to assess strategic consistency.
- Update disaster recovery plans with lessons learned from recent incidents and failover tests.
- Refine capacity planning models using forecasted business growth and technology lifecycle data.
- Implement feedback loops from support teams into design and procurement decisions.
- Adjust operational strategy based on post-mortems of major outages or failed transformations.