Description

This curriculum spans the technical and organizational challenges of establishing a production-grade DevOps practice, comparable in scope to a multi-phase internal transformation program that integrates CI/CD, security, compliance, and platform engineering across distributed teams.

Module 1: Defining DevOps Strategy and Organizational Alignment

Selecting between embedded versus centralized DevOps teams based on existing IT maturity and application ownership models.
Negotiating shared KPIs between development and operations to align sprint velocity with system stability metrics.
Deciding whether to adopt DevOps incrementally by product line or enforce organization-wide transformation mandates.
Integrating compliance requirements into early-stage planning without creating bottlenecks in delivery pipelines.
Mapping legacy skill gaps and determining whether to upskill current staff or hire specialized DevOps engineers.
Establishing escalation protocols for production incidents that preserve deployment velocity while ensuring accountability.

Module 2: Designing and Securing CI/CD Infrastructure

Choosing between self-hosted GitLab Runners and managed services like GitHub Actions based on data residency and egress cost constraints.
Implementing pipeline-as-code standards with strict peer review requirements for shared deployment scripts.
Enforcing secret management in CI environments using short-lived tokens from HashiCorp Vault instead of environment variables.
Architecting parallel pipeline stages for canary and full production deployments with rollback triggers based on health checks.
Hardening build agents with minimal OS images and regular snapshotting to prevent dependency drift and compromise.
Designing audit trails for pipeline executions that capture user identity, commit hash, and target environment for compliance reporting.

Module 3: Infrastructure as Code and Environment Management

Selecting between Terraform and AWS CloudFormation based on multi-cloud requirements and team familiarity.
Defining environment promotion workflows that enforce configuration parity between staging and production.
Managing state file locking and backend storage for Terraform in distributed team environments using remote backends.
Implementing drift detection mechanisms to identify and remediate manual changes to production infrastructure.
Versioning IaC modules independently of application code to enable reuse across multiple services.
Restricting privilege escalation in IaC deployments by using role-based access controls and just-in-time provisioning.

Module 4: Containerization and Orchestration at Scale

Standardizing container base images across teams to reduce CVE exposure and streamline patching cycles.
Configuring Kubernetes resource limits and requests to prevent noisy neighbor effects in shared clusters.
Implementing pod disruption budgets to maintain service availability during node maintenance or scaling events.
Integrating image scanning into the CI pipeline to block deployments with critical vulnerabilities.
Designing namespace and label strategies to support multi-tenancy and chargeback in shared Kubernetes environments.
Choosing between Helm and Kustomize for configuration management based on templating complexity and team adoption.

Module 5: Observability and Runtime Governance

Defining service-level objectives (SLOs) with error budgets that inform release throttling decisions.
Correlating logs, metrics, and traces using structured logging and consistent service identifiers across distributed systems.
Filtering and sampling high-cardinality telemetry data to control monitoring costs without losing diagnostic fidelity.
Configuring alerting rules to minimize false positives while ensuring critical incidents trigger on-call responses.
Implementing synthetic monitoring to validate user journeys before and after deployments.
Managing retention policies for observability data to meet regulatory requirements without incurring excessive storage costs.

Module 6: Security and Compliance Integration

Shifting static application security testing (SAST) left into pull request validation with actionable feedback.
Integrating dynamic application security testing (DAST) into staging environments with controlled scan scopes.
Enforcing policy-as-code using Open Policy Agent (OPA) to validate deployments against security baselines.
Coordinating penetration testing schedules with release calendars to avoid blocking critical deployments.
Documenting audit trails for configuration changes to meet SOX or ISO 27001 compliance requirements.
Managing certificate lifecycle automation for internal and external services using cert-manager or similar tools.

Module 7: Production Resilience and Incident Response

Designing automated rollback procedures triggered by health check failures or metric anomalies.
Conducting blameless postmortems with standardized templates to capture root causes and action items.
Implementing feature flags to decouple deployment from release and enable rapid mitigation of faulty functionality.
Running game days to test disaster recovery procedures and validate runbook accuracy under stress.
Rotating on-call responsibilities with clear escalation paths and fatigue management policies.
Integrating incident communication tools like Slack or PagerDuty with status pages to coordinate internal and external updates.

Module 8: Continuous Improvement and Feedback Loops

Measuring deployment frequency, lead time, change failure rate, and mean time to recovery for DORA benchmarking.
Automating feedback collection from production monitoring into sprint retrospectives for development teams.
Refactoring technical debt discovered during incident reviews with dedicated capacity in product roadmaps.
Optimizing pipeline execution time by caching dependencies and parallelizing test suites.
Revising environment provisioning workflows based on developer feedback to reduce onboarding delays.
Adjusting resource allocation for shared DevOps platforms based on utilization metrics and demand forecasting.