Description

This curriculum spans the equivalent depth and breadth of a multi-workshop operational transformation program, covering the technical, procedural, and organizational dimensions of automation as typically addressed in enterprise IT operations modernization initiatives.

Module 1: Assessing Automation Readiness in IT Operations

Conducting a process maturity assessment to determine which IT operations workflows are stable enough for automation
Mapping incident, change, and problem management processes to identify repetitive, rule-based tasks suitable for automation
Evaluating existing tooling integration capabilities across monitoring, ticketing, and configuration management systems
Identifying stakeholders across service desk, NOC, and infrastructure teams to align automation priorities with operational pain points
Quantifying manual effort in high-frequency tasks such as server provisioning, patch compliance checks, and alert triage
Establishing baseline KPIs for resolution time, error rates, and resource utilization before automation deployment

Module 2: Designing Automation Architecture for Scalability

Selecting between agent-based and agentless automation frameworks based on security policies and OS diversity
Designing idempotent playbooks to ensure consistent state enforcement across heterogeneous environments
Implementing role-based access control (RBAC) within automation platforms to enforce least-privilege execution
Structuring modular runbooks with reusable components for incident response, configuration drift correction, and health checks
Integrating version control (e.g., Git) for automation scripts to enable auditability, rollback, and peer review
Defining retry logic, timeout thresholds, and circuit breaker patterns to handle transient system failures

Module 3: Integrating Automation with ITSM and Monitoring Tools

Configuring bi-directional integration between automation platforms and ITSM tools to auto-create and update tickets
Triggering automated remediation workflows from monitoring alerts using webhook-based event pipelines
Normalizing alert data from diverse sources (e.g., Nagios, Datadog, Zabbix) to standardize automation triggers
Enriching incident records with context from CMDB and dependency mapping tools before initiating automation
Implementing approval gates for high-impact actions (e.g., restart critical services) within change management workflows
Logging automation execution details into SIEM systems for compliance and forensic analysis

Module 4: Automating Incident and Problem Management

Developing classification rules to route alerts to appropriate automated runbooks based on event type and severity
Implementing automated root cause analysis using log correlation and dependency graph traversal
Executing pre-approved remediation steps for common issues such as disk space exhaustion or service outages
Automating service impact assessment by querying topology data during incident escalation
Generating post-incident reports with automation execution logs and timing metrics for retrospective analysis
Configuring fallback procedures when automation fails, including human escalation paths and notification workflows

Module 5: Change and Configuration Automation

Automating configuration drift detection by comparing runtime states against golden templates
Scheduling and validating OS and middleware patching across development, staging, and production environments
Implementing canary rollouts for configuration changes with automated rollback on health check failure
Enforcing configuration compliance using policy-as-code frameworks like Open Policy Agent or Chef InSpec
Managing secrets and credentials through secure vault integration (e.g., HashiCorp Vault, Azure Key Vault)
Coordinating change windows with business stakeholders by syncing automation schedules with change calendars

Module 6: Governance, Risk, and Compliance in Automated Operations

Defining approval workflows for production automation changes based on risk classification and regulatory requirements
Maintaining an audit trail of all automation executions, including user context, input parameters, and outcomes
Conducting periodic access reviews for automation platform administrators and script maintainers
Aligning automation practices with frameworks such as ITIL, ISO 27001, and NIST SP 800-145
Implementing change validation checks to prevent unauthorized configuration modifications
Documenting exception handling procedures for automated actions that trigger compliance violations

Module 7: Monitoring, Optimization, and Continuous Improvement

Instrumenting automation workflows with custom metrics for success rate, execution duration, and failure modes
Establishing feedback loops from operations teams to refine false-positive triggers and refine runbook logic
Conducting periodic automation effectiveness reviews using incident reduction and MTTR data
Optimizing playbook performance by eliminating redundant API calls and parallelizing independent tasks
Retiring outdated automation scripts based on usage analytics and process deprecation
Scaling automation infrastructure (e.g., runner fleets, queue management) to handle peak operational loads

Module 8: Organizational Enablement and Change Management

Developing runbook documentation with clear ownership, escalation paths, and version history for operational teams
Training NOC and service desk personnel on interpreting automation outputs and handling handoffs
Addressing resistance to automation by involving operators in runbook design and testing
Establishing a center of excellence to maintain automation standards and share best practices
Defining service level objectives (SLOs) for automated processes and incorporating them into SLAs
Measuring team capacity freed by automation to reallocate resources to higher-value initiatives