This curriculum spans the design and governance of production-grade DevOps workflows at the scale of multi-team platform engineering programs, covering the technical, procedural, and coordination challenges typical in regulated or large-scale software organisations.
Module 1: Infrastructure as Code (IaC) Design and Governance
- Select between declarative (e.g., Terraform) and imperative (e.g., Ansible) IaC tools based on team expertise and change control requirements.
- Implement module versioning in Terraform to prevent breaking changes across environments during parallel development.
- Enforce IaC peer review policies using mandatory pull requests and automated policy checks via Open Policy Agent (OPA).
- Balance state file security and accessibility by choosing between remote backends (e.g., S3 with state locking) and local state with access controls.
- Design reusable IaC modules with input validation and output standardization to support multi-team adoption.
- Integrate drift detection into CI/CD pipelines to identify and remediate configuration deviations from source-controlled templates.
Module 2: CI/CD Pipeline Architecture and Optimization
- Decide between monorepo and polyrepo pipeline designs based on team autonomy, release cadence, and dependency management needs.
- Implement pipeline parallelization and selective job triggering to reduce feedback time in large codebases.
- Configure artifact retention policies in Nexus or Artifactory to balance storage costs with audit and rollback requirements.
- Enforce pipeline immutability by signing and versioning pipeline definitions in source control.
- Integrate canary analysis into deployment stages using metrics from Prometheus and logs from Loki to gate progression.
- Design pipeline rollback mechanisms that include artifact reversion, configuration reset, and database migration rollback coordination.
Module 3: Secure Software Supply Chain
- Enforce SBOM (Software Bill of Materials) generation at build time and integrate into vulnerability scanning workflows.
- Implement signed commits and artifact signing using Sigstore or Notary to prevent unauthorized code injection.
- Configure dependency scanning tools (e.g., Dependabot, Snyk) with policy thresholds that align with risk tolerance and remediation capacity.
- Isolate build environments using ephemeral runners with minimal privileges to reduce attack surface.
- Integrate attestations into the pipeline using in-toto or Cosign to verify build provenance and integrity.
- Define and enforce admission controls for container images in the registry using OPA or Kyverno policies.
Module 4: Observability and Telemetry Integration
- Standardize log structure across services using structured logging formats (e.g., JSON) and enforce schema compliance.
- Configure distributed tracing with context propagation across microservices using OpenTelemetry instrumentation.
- Balance metric granularity and cardinality to prevent Prometheus series explosion while maintaining diagnostic utility.
- Implement synthetic monitoring for critical user journeys to detect degradation before real-user impact.
- Design alerting rules with actionable thresholds and clear runbook references to reduce mean time to resolution.
- Aggregate and correlate telemetry data across logs, metrics, and traces in a centralized observability platform for root cause analysis.
Module 5: Production Deployment Strategies
- Select deployment strategy (blue-green, canary, rolling) based on risk profile, rollback requirements, and infrastructure constraints.
- Coordinate database schema changes with application deployments using versioned migration scripts and backward compatibility.
- Implement feature flags with kill switches to decouple deployment from release and enable controlled rollouts.
- Configure traffic shifting in service mesh (e.g., Istio) or API gateway to support gradual canary promotions.
- Design health check endpoints that reflect actual service dependencies and readiness for traffic routing.
- Validate deployment success using automated smoke tests and performance benchmarks before full cutover.
Module 6: Incident Response and Postmortem Culture
- Define incident severity levels with clear escalation paths and communication protocols for on-call teams.
- Integrate incident management tools (e.g., PagerDuty, Opsgenie) with monitoring systems to automate alert routing.
- Conduct blameless postmortems with structured templates that document timeline, contributing factors, and action items.
- Track remediation tasks from postmortems in a public backlog to ensure accountability and follow-through.
- Implement runbook automation for common incident scenarios to reduce cognitive load during outages.
- Rotate on-call responsibilities with training and shadowing to maintain team resilience and knowledge sharing.
Module 7: Compliance, Auditing, and Change Management
- Map CI/CD pipeline stages to audit controls (e.g., SOC 2, ISO 27001) and generate evidence artifacts automatically.
- Implement change advisory board (CAB) workflows for high-risk production changes using automated approval gates.
- Log all pipeline executions and configuration changes to immutable storage for forensic analysis.
- Enforce separation of duties by restricting production deployment permissions to designated roles and requiring dual approvals.
- Integrate configuration management database (CMDB) updates into deployment pipelines to maintain accurate asset inventory.
- Conduct periodic access reviews for pipeline and infrastructure permissions to enforce least privilege.
Module 8: Scaling DevOps Across Multiple Teams and Environments
- Design platform teams to provide self-service tooling (e.g., internal developer platforms) while maintaining security and compliance guardrails.
- Standardize environment provisioning using environment templates to reduce configuration drift.
- Implement multi-region deployment patterns with failover testing to meet disaster recovery objectives.
- Manage cross-team dependencies using contract testing and consumer-driven contracts in integration pipelines.
- Balance centralization and decentralization by defining clear ownership boundaries for shared services and tooling.
- Measure and report on DORA metrics consistently across teams to identify bottlenecks and track improvement initiatives.