Description

This curriculum spans the architectural rigor of a multi-workshop technical advisory engagement, addressing the same decisions and trade-offs encountered when redesigning DevOps infrastructure across large-scale, regulated enterprises.

Module 1: Defining the DevOps Architecture Framework

Selecting between centralized, federated, and embedded platform engineering team structures based on organizational scale and application portfolio diversity.
Establishing architecture review board (ARB) charters that include mandatory DevOps pipeline compliance checkpoints for system onboarding.
Choosing integration patterns for legacy systems (e.g., service wrappers, API gateways) to align with CI/CD readiness requirements.
Defining versioning strategies for infrastructure-as-code (IaC) modules across multiple environments and teams.
Mapping non-functional requirements (e.g., recovery time objectives) to specific pipeline stages and deployment patterns.
Implementing architecture decision records (ADRs) as version-controlled artifacts within the same repository as application code.

Module 2: Infrastructure as Code and Environment Management

Enforcing IaC linting and security scanning in pull request pipelines to prevent configuration drift and policy violations.
Designing environment promotion models (e.g., blue-green vs. canary) based on risk tolerance and rollback complexity.
Managing secrets lifecycle across environments using dedicated secrets management tools integrated into provisioning workflows.
Implementing immutable infrastructure patterns with versioned machine images to reduce configuration entropy.
Standardizing environment templating using parameterized IaC modules with environment-specific overrides stored in secure vaults.
Automating environment teardown for non-production instances to control cloud spend and reduce attack surface.

Module 3: CI/CD Pipeline Design and Governance

Configuring pipeline concurrency limits and resource quotas to prevent CI grid overload during peak development cycles.
Implementing gated approvals for production deployments based on compliance requirements (e.g., SOX, HIPAA).
Integrating static application security testing (SAST) tools into merge request pipelines with defined failure thresholds.
Designing artifact promotion workflows that decouple build from deployment and enforce immutability.
Enabling pipeline self-service for teams while maintaining centralized audit logging and access controls.
Optimizing pipeline execution time through parallelization, caching dependencies, and selective test execution.

Module 4: Observability and Runtime Architecture

Standardizing log schema and structured logging formats across services to enable centralized querying and alerting.
Configuring distributed tracing with context propagation across service boundaries for root cause analysis.
Setting up synthetic transaction monitoring to validate end-to-end workflows before and after deployments.
Implementing metric retention policies based on cardinality, regulatory needs, and storage cost constraints.
Designing alerting rules with clear ownership and escalation paths to prevent alert fatigue and ensure response.
Integrating observability data into post-deployment validation gates in the CD pipeline.

Module 5: Security and Compliance Integration

Embedding infrastructure compliance checks (e.g., CIS benchmarks) into IaC validation pipelines.
Managing role-based access control (RBAC) for pipeline execution and environment access across multi-cloud platforms.
Implementing software bill of materials (SBOM) generation and vulnerability scanning for container images.
Enforcing signed commits and artifact provenance using Sigstore or similar tooling in the build chain.
Coordinating penetration testing schedules with deployment freeze windows to minimize production impact.
Integrating audit trail collection from CI/CD systems into SIEM platforms for compliance reporting.

Module 6: Platform Engineering and Internal Developer Platforms

Designing self-service APIs for environment provisioning with guardrails on resource types and quotas.
Building golden path templates that encode secure, performant, and observable application configurations.
Integrating service catalog metadata with CI/CD and monitoring systems for automated onboarding.
Managing version compatibility between platform services (e.g., logging agents, service mesh sidecars) and application runtimes.
Implementing feedback loops from platform telemetry to improve developer experience and reduce support tickets.
Establishing SLAs for platform service uptime and incident response times aligned with business criticality.

Module 7: Scaling DevOps Across Complex Enterprises

Orchestrating multi-region deployments with data residency constraints and cross-region failover testing.
Managing technical debt in CI/CD pipelines through scheduled refactoring and deprecation of legacy tooling.
Aligning DevOps KPIs (e.g., deployment frequency, lead time) with business outcomes without incentivizing risky behavior.
Standardizing toolchains across business units while allowing opt-outs with documented architectural justifications.
Coordinating shared service updates (e.g., Kubernetes clusters, CI runners) with application teams to minimize disruption.
Implementing federated observability architectures that balance central reporting with team autonomy.

Module 8: Architecture Evolution and Technical Strategy

Conducting periodic architecture fitness functions to assess alignment with evolving DevOps capabilities.
Evaluating migration from monolithic pipelines to composable CI/CD workflows based on team size and release cadence.
Assessing the operational impact of adopting new technologies (e.g., WebAssembly, eBPF) in production pipelines.
Integrating AI-assisted code generation tools into development workflows with guardrails on security and licensing.
Planning for vendor lock-in mitigation when adopting managed DevOps services across cloud providers.
Documenting and socializing technology radar updates to guide team-level tool selection and deprecation.