A tailored course, built for your situation
Deeper command of the COBIT framework for DevOps integration
Master the governance backbone that aligns DevOps with enterprise control expectations
The situation this course is for
Engineers build for speed, but controls teams ask for traceability, documentation, and repeatable checks, creating friction at release time. Without a shared language, DevOps outputs get flagged in review, forcing rework and delaying value.
Who this is for
Senior DevOps Engineer in a regulated environment who owns delivery pipeline integrity and cross-functional alignment with governance teams
Who this is not for
Entry-level DevOps practitioners, auditors without engineering experience, managers who don't touch code or controls directly
What you walk away with
- Translate COBIT control objectives directly into pipeline validation rules
- Anticipate audit feedback cycles by internalizing control intent
- Design deployment gates that satisfy compliance without sacrificing velocity
- Lead conversations with governance teams from a position of technical authority
- Produce evidence packages automatically as part of CI/CD workflows
The 12 modules (with all 144 chapters)
- What COBIT governs
- DevOps delivery lifecycle stages
- Mapping control goals to pipeline phases
- Control vs audit vs implementation
- The role of automation in satisfying controls
- Difference between compliance and alignment
- How the firm teams use COBIT today
- Common anti-patterns in engineering teams
- From policy to pipeline check
- Ownership of control evidence
- Frequency of control checks
- Integrating control checks into daily work
- Evaluate Direct Monitor framework
- EDM and strategic alignment
- APO and resource optimization
- BAI and automation governance
- DSS and operational resilience
- Aligning EDM to sprint planning
- APO and toolchain selection
- BAI and change velocity
- DSS and incident response
- Mapping EDM to roadmap reviews
- BAI and technical debt
- DSS and rollback automation
- Reading a COBIT objective
- Identifying inputs and outputs
- Who owns execution
- What evidence looks like
- How often it runs
- Automating APO01.03 checks
- Validating DSS02.07 outputs
- Embedding BAI09.05 in pipelines
- Versioning control logic
- Tagging compliance checks in code
- Logging for audit trails
- Thresholds for auto-fail
- What auditors look for
- Evidence types by control
- Log exports as proof
- Automated screenshots
- Timestamped attestations
- Storing evidence in vaults
- Retention rules per domain
- Role-based access to evidence
- Evidence tagging schema
- Dynamic report assembly
- Push vs pull evidence models
- Version-controlled evidence
- Types of deployment gates
- Hard vs soft stops
- Risk-based gate design
- Override protocols
- Escalation paths
- COBIT threshold definitions
- Time-based controls
- People-based approvals
- Tool-based validations
- Dynamic gate logic
- Audit trail for gate decisions
- Gate rollback procedures
- Dev vs Ops vs Sec ownership
- Governance team role
- COBIT process owners
- RACI for control items
- Handoff points in lifecycle
- DevOps lead responsibilities
- Peer review within teams
- Escalation to architects
- Change advisory board input
- Version review cycles
- Control debt tracking
- Ownership rotation model
- DSS03 and incident management
- Event detection thresholds
- Triage documentation
- Severity classification
- Post-mortem structure
- Linking incidents to controls
- Evidence for root cause
- Action item tracking
- Preventive control updates
- Automated incident logging
- Integration with ticketing
- Reporting cadence to control leads
- Change types by impact
- Standard vs emergency changes
- Change advisory board role
- Automated change approval
- Peer sign-off patterns
- Rollback plan requirements
- Change windows and controls
- Post-change validation
- BAI06 and change scope
- DSS04 and change success
- Change velocity benchmarks
- Audit trail for changes
- Jenkins pipeline compliance
- GitLab merge request checks
- Terraform policy as code
- Ansible playbook validation
- Kubernetes configuration guardrails
- Container image scanning
- SBOM generation triggers
- Dependency checking
- Secrets management workflow
- IAM role validation
- Network policy checks
- Auto-remediation scripts
- Mean time to detect
- Mean time to resolve
- Change failure rate
- Deployment frequency
- Lead time for changes
- Control adherence rate
- Evidence completeness score
- Audit pass rate
- Rework loop reduction
- Gate bypass frequency
- Compliance debt trend
- Automation coverage index
- Speaking audit language
- Anticipating auditor questions
- Preparing for walkthroughs
- Sharing evidence proactively
- Translating engineering terms
- Building trust with risk teams
- Joint control reviews
- Feedback loops
- Control improvement suggestions
- Documenting exceptions
- Negotiating evidence formats
- Scheduling audit access
- Training junior engineers
- Maintaining control playbooks
- Onboarding pipeline checks
- Internal certification
- Mentorship programs
- Lessons learned sharing
- Control champions network
- Updating standards
- Versioning framework changes
- Feedback to governance teams
- Scaling automation
- Knowledge transfer rituals
How this maps to your situation
- New audit requirement introduced
- Post-incident review identifying control gaps
- Merging DevOps and compliance teams
- Preparing for external audit
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed to be completed alongside ongoing delivery work.
How this compares to the alternatives
Unlike generic COBIT training, this course is tailored to DevOps engineers and focuses on translating controls into automated pipeline logic. Compared to vendor-led workshops, it offers independent, actionable guidance applicable across tools and platforms.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.