Description

This curriculum spans the technical and operational rigor of a multi-workshop DevOps transformation program, covering the same breadth and depth as an internal capability build for CI/CD, IaC, and secure supply chain practices across large engineering organisations.

Module 1: Establishing CI/CD Pipeline Architecture

Design branching strategies (e.g., trunk-based vs. GitFlow) based on team size, release cadence, and compliance requirements.
Select pipeline orchestration tools (e.g., Jenkins, GitLab CI, GitHub Actions) based on existing infrastructure and access control needs.
Implement pipeline-as-code using declarative syntax to enable version-controlled, auditable build configurations.
Integrate artifact repositories (e.g., Nexus, Artifactory) with CI workflows to ensure consistent dependency management.
Enforce pipeline security by managing service account permissions and minimizing credential exposure in job scripts.
Balance pipeline speed and test coverage by implementing parallel test execution and selective job triggering.

Module 2: Infrastructure as Code (IaC) Implementation

Choose between Terraform and cloud-native tools (e.g., AWS CloudFormation, Azure Bicep) based on multi-cloud strategy and team expertise.
Structure IaC modules to support reusability across environments while isolating environment-specific variables securely.
Implement state file management with remote backends and locking to prevent concurrent modification conflicts.
Enforce IaC policy compliance using tools like Open Policy Agent or HashiCorp Sentinel in pre-apply validation stages.
Integrate drift detection mechanisms to identify and remediate configuration deviations from source-controlled templates.
Manage secrets in IaC workflows using dedicated secret stores (e.g., HashiCorp Vault, AWS Secrets Manager) instead of environment variables.

Module 3: Secure Software Supply Chain Integration

Integrate SCA (Software Composition Analysis) tools into pipelines to detect vulnerable open-source dependencies.
Implement SBOM (Software Bill of Materials) generation and archival for regulatory compliance and incident response readiness.
Enforce signature verification for container images using Cosign or Notary in image promotion workflows.
Configure private registries with role-based access and image immutability to prevent unauthorized overrides.
Evaluate and onboard third-party tools using security questionnaires and runtime behavior analysis.
Apply least-privilege principles to pipeline service accounts to limit lateral movement in case of compromise.

Module 4: Containerization and Orchestration at Scale

Standardize container image base images and update cadence to reduce attack surface and patching lag.
Define Kubernetes resource requests and limits to prevent resource starvation in multi-tenant clusters.
Implement pod security policies or OPA Gatekeeper constraints to enforce container runtime restrictions.
Design namespace strategies to align with team ownership, environments, and compliance boundaries.
Configure network policies to restrict inter-pod communication based on zero-trust principles.
Manage cluster upgrades using managed control planes or automated rollout strategies with rollback capabilities.

Module 5: Observability and Monitoring Strategy

Instrument applications with structured logging to enable efficient parsing and correlation in centralized systems.
Define service-level objectives (SLOs) and error budgets to guide incident response and release decisions.
Configure distributed tracing to identify latency bottlenecks across microservices with context propagation.
Select monitoring tools (e.g., Prometheus, Datadog) based on retention needs, cardinality limits, and cost models.
Design alerting rules to minimize false positives while ensuring critical system degradation is detected.
Integrate observability data into post-mortem processes to drive root cause analysis and prevent recurrence.

Module 6: Release Management and Deployment Patterns

Implement canary deployments with automated traffic shifting and health validation using service mesh or ingress controllers.
Use feature flags to decouple deployment from release, enabling controlled rollouts and rapid rollback.
Design blue-green deployment workflows with DNS or load balancer switching to minimize downtime.
Enforce deployment windows and change advisory board (CAB) approvals for regulated environments.
Track deployment metadata (e.g., commit SHA, pipeline ID) in monitoring and logging systems for traceability.
Automate rollback procedures with health check validation to reduce mean time to recovery (MTTR).

Module 7: DevOps Governance and Compliance

Map CI/CD controls to compliance frameworks (e.g., SOC 2, ISO 27001) for audit readiness.
Implement approval gates in pipelines for production promotions based on risk and regulatory requirements.
Enforce separation of duties by restricting pipeline configuration changes to designated roles.
Archive pipeline execution logs and audit trails for minimum retention periods defined by policy.
Conduct periodic access reviews for CI/CD systems to remove stale or excessive permissions.
Standardize tagging and labeling across cloud resources to support cost allocation and ownership tracking.

Module 8: Scaling DevOps Across Multiple Teams

Develop internal platform teams to provide self-service tooling and reduce cognitive load on development teams.
Define standardized templates and blueprints for CI/CD and IaC to ensure consistency without stifling innovation.
Implement centralized logging and monitoring dashboards for cross-team visibility and shared SLO tracking.
Negotiate team-level autonomy versus platform-enforced standards based on organizational risk profile.
Establish feedback loops between platform engineers and product teams to prioritize internal tooling improvements.
Measure DevOps performance using DORA metrics while avoiding misuse as individual performance indicators.