This curriculum spans the design and iteration of an organisation’s DevOps operational model with the breadth and rigor of a multi-workshop advisory engagement, addressing ownership, infrastructure, delivery, observability, incident response, security, cost, and feedback systems as they are implemented across real production environments.
Module 1: Defining Operational Boundaries and Ownership
- Determine service ownership models (e.g., dedicated ops team vs. embedded SREs) based on team maturity and system criticality.
- Negotiate SLIs and SLOs with product stakeholders to align operational expectations with business outcomes.
- Establish escalation paths for incidents involving cross-functional teams with overlapping responsibilities.
- Define criteria for when a service transitions from “development-owned” to “production-supported” status.
- Implement role-based access control (RBAC) policies that balance security requirements with developer autonomy.
- Document decision logs for operational handoffs to ensure traceability and reduce tribal knowledge.
Module 2: Infrastructure Standardization and Provisioning
- Select between immutable and mutable infrastructure patterns based on compliance needs and rollback frequency.
- Enforce consistent configuration through policy-as-code tools (e.g., OPA, Sentinel) across cloud and on-prem environments.
- Design reusable infrastructure modules that support multiple environments without configuration drift.
- Integrate infrastructure provisioning into CI/CD pipelines with approval gates for production changes.
- Balance self-service capabilities with guardrails to prevent unauthorized resource sprawl.
- Manage state storage for infrastructure-as-code (e.g., Terraform state) with access controls and backup procedures.
Module 3: Continuous Delivery Pipeline Governance
- Implement parallel deployment strategies (e.g., blue-green, canary) with automated traffic shifting and health checks.
- Configure pipeline stages to enforce static analysis, dependency scanning, and compliance checks before promotion.
- Design pipeline concurrency and queuing behavior to prevent resource contention during peak deployment times.
- Integrate deployment tracking with incident management systems to accelerate root cause analysis.
- Define rollback triggers based on real-time metrics and synthetic monitoring results.
- Audit pipeline access and change history to meet regulatory and internal audit requirements.
Module 4: Observability and Runtime Monitoring
- Instrument applications to emit structured logs, metrics, and traces with consistent tagging and context propagation.
- Set thresholds for alerting that minimize noise while ensuring timely detection of service degradation.
- Configure log retention policies based on legal requirements, storage costs, and debugging needs.
- Integrate synthetic transaction monitoring to validate end-user workflows before real users are affected.
- Design dashboard hierarchies that provide situational awareness at team, service, and business levels.
- Evaluate trade-offs between agent-based and agentless monitoring for security and performance impact.
Module 5: Incident Response and On-Call Operations
- Structure on-call rotations to account for time zones, team size, and burnout risk using escalation policies.
- Standardize incident response playbooks with runbook automation for common failure scenarios.
- Conduct blameless postmortems with structured templates to capture contributing factors and action items.
- Integrate incident timelines across monitoring, communication, and deployment tools for accurate reconstruction.
- Define criteria for declaring major incidents and activating crisis communication protocols.
- Measure and report on incident response metrics (e.g., MTTR, alert-to-acknowledge time) to drive improvement.
Module 6: Security and Compliance Integration
- Embed security scanning tools (SAST, DAST, SCA) into CI/CD pipelines with policy thresholds for blocking merges.
- Implement secrets management using short-lived credentials and dynamic secret injection.
- Design network segmentation and service mesh policies to enforce zero-trust communication.
- Coordinate vulnerability patching cadence across services with minimal disruption to deployments.
- Map controls to compliance frameworks (e.g., SOC 2, ISO 27001) and automate evidence collection.
- Conduct regular red team exercises to validate detection and response capabilities.
Module 7: Cost Management and Resource Optimization
- Allocate cloud spending by team, project, or service using tagging strategies and cost allocation tools.
- Implement auto-scaling policies that balance performance requirements with cost efficiency.
- Negotiate reserved instance commitments based on historical usage patterns and forecast accuracy.
- Identify and decommission orphaned or underutilized resources through regular audits.
- Set budget alerts with automated notifications and throttling mechanisms for cost overruns.
- Compare TCO of managed vs. self-hosted services considering operational overhead and staffing costs.
Module 8: Evolution and Feedback Loops
- Conduct operational readiness reviews before launching new services to validate monitoring, backup, and failover.
- Establish feedback channels from support and operations teams into product planning cycles.
- Track technical debt related to operational shortcuts using issue tracking with prioritization criteria.
- Iterate on runbooks and playbooks based on incident outcomes and team feedback.
- Measure team health metrics (e.g., on-call burden, deployment stress) to inform resourcing decisions.
- Use retrospectives to refine operational processes after major changes or incidents.