Description

This curriculum spans the design and operational rigor of a multi-workshop cloud governance program, covering identity, infrastructure, pipelines, networking, and observability with the depth required to guide enterprise teams through real-world DevOps transformations in regulated environments.

Module 1: Cloud Account and Identity Architecture

Define organizational unit (OU) structure in AWS Organizations or Azure Management Groups to align with business units while enforcing centralized guardrails.
Implement identity federation using SAML 2.0 or OIDC to integrate cloud identities with existing enterprise directory services like Active Directory or Azure AD.
Enforce multi-factor authentication (MFA) for all privileged roles and evaluate trade-offs between security and developer productivity for non-privileged access.
Design least-privilege IAM policies using attribute-based access control (ABAC) or role-based access control (RBAC), balancing granularity with policy maintainability.
Establish cross-account access patterns using role chaining or resource-based policies for secure inter-service communication across environments.
Configure identity auditing and alerting on anomalous sign-in activity using native cloud logging services integrated with SIEM platforms.

Module 2: Secure and Compliant Infrastructure Provisioning

Select between Terraform, AWS CloudFormation, or Azure Resource Manager based on team expertise, state management needs, and multi-cloud requirements.
Implement infrastructure as code (IaC) linting and static analysis in CI pipelines using tools like Checkov or tfsec to detect policy violations pre-deployment.
Design reusable infrastructure modules with parameterized inputs while avoiding over-abstraction that obscures operational visibility.
Manage sensitive configuration data using cloud-native secret stores (e.g., AWS Secrets Manager, Azure Key Vault) instead of environment variables or configuration files.
Enforce encryption-by-default policies for data at rest and in transit across all provisioned resources using infrastructure templates and guardrail rules.
Integrate compliance scanning tools (e.g., AWS Config, Azure Policy) to continuously audit resource configurations against regulatory frameworks like HIPAA or ISO 27001.

Module 3: CI/CD Pipeline Design and Security

Architect pipeline segmentation to separate build, test, and deployment stages across different cloud accounts or VPCs to limit blast radius.
Implement pipeline-as-code using YAML or domain-specific languages (e.g., Jenkinsfile, GitHub Actions) with version-controlled pipeline definitions.
Enforce signed commits and artifact provenance verification to prevent unauthorized code from entering the deployment pipeline.
Integrate automated security scanning tools (SAST, DAST, SCA) into pipeline stages and define policy gates that block non-compliant builds.
Configure immutable build artifacts stored in versioned repositories (e.g., Amazon S3, Azure Blob Storage) with lifecycle policies and access controls.
Design rollback mechanisms using blue/green or canary deployment patterns with automated health checks and traffic shifting.

Module 4: Cloud Networking for DevOps Workloads

Design VPC or VNet architectures with public, private, and transit subnets to isolate workloads and control egress traffic paths.
Implement DNS resolution strategies across hybrid environments using private hosted zones or Azure Private DNS with conditional forwarding.
Configure secure inter-VPC communication using AWS Transit Gateway or Azure Virtual WAN while managing routing complexity at scale.
Enforce egress filtering using firewall appliances or cloud-native services (e.g., AWS Network Firewall, Azure Firewall) with centralized logging.
Evaluate the use of service endpoints, private links, or VPC peering based on latency, cost, and operational overhead requirements.
Plan IP address space allocation across regions and accounts to prevent overlap and support future expansion.

Module 5: Observability and Runtime Governance

Standardize logging formats and metadata tagging across services to enable centralized aggregation in cloud-native tools like CloudWatch Logs or Azure Monitor.
Configure distributed tracing for microservices using AWS X-Ray or Azure Application Insights to diagnose latency bottlenecks.
Define custom metrics and dashboards that reflect business-critical service level objectives (SLOs), not just infrastructure KPIs.
Implement log retention and archival policies aligned with compliance requirements and cost constraints.
Set up alerting thresholds using anomaly detection and dynamic baselines to reduce false positives in production environments.
Integrate observability data with incident response workflows using automated ticket creation and on-call escalation rules.

Module 6: Cost Management and Resource Optimization

Implement tagging standards for cost allocation and enforce tag compliance using automated remediation for untagged resources.
Right-size compute instances based on performance telemetry and utilization trends, balancing cost savings with application performance.
Evaluate reserved instances or savings plans against actual usage patterns to optimize long-term spend without overcommitting.
Configure auto-scaling policies using predictive and reactive metrics to align capacity with demand fluctuations.
Monitor and govern serverless resource consumption (e.g., AWS Lambda, Azure Functions) to prevent runaway costs from misconfigured triggers.
Conduct regular cost reviews using cloud-native cost explorer tools and attribute spend to teams via chargeback or showback models.

Module 7: Disaster Recovery and Operational Resilience

Define recovery time objectives (RTO) and recovery point objectives (RPO) for critical services and align them with replication and backup strategies.
Implement cross-region data replication for databases using managed services (e.g., Amazon RDS Multi-AZ, Azure SQL Geo-Replication).
Design automated failover procedures for DNS and application routing using health checks and routing policies.
Conduct regular disaster recovery testing using controlled failover events to validate runbooks and team readiness.
Store backup data in immutable storage with write-once-read-many (WORM) configurations to protect against ransomware.
Document and version control all operational runbooks, ensuring they are accessible during outages without cloud dependency.

Module 8: DevOps Toolchain Integration and Lifecycle Management

Integrate cloud provider APIs with third-party tools (e.g., Jira, ServiceNow) for automated ticketing and change management workflows.
Standardize container image builds using cloud-native registries (ECR, ACR) with vulnerability scanning and image signing.
Manage CLI and SDK versioning across development teams to prevent drift and ensure compatibility with cloud service updates.
Automate deprovisioning of stale environments (e.g., feature branch deployments) using time-to-live (TTL) tagging and cleanup jobs.
Centralize tool configuration management using GitOps patterns to maintain consistency across environments.
Monitor API rate limits and service quotas across cloud accounts and implement alerting before throttling impacts operations.