Azure CI/CD & API Delivery Pipelines
Problem
Deployments were semi-manual, inconsistent across environments, and error-prone. API publishing to APIM was manual, introducing drift between deployed code and documentation.
Ownership
Designed pipeline architecture. Wrote all YAML definitions. Configured APIM integration and ApiOps workflows. Defined promotion strategy and CI gate criteria.
Architecture
Multi-stage YAML pipelines with environment-specific variable groups. Terraform manages infrastructure state across environments. Kubernetes (AKS) hosts containerized services. Each stage has automated validation: lint, test, build, integration checks. ApiOps pipelines sync API definitions to Azure API Management on merge.
Highlights
- •Multi-stage promotion: Dev → Staging → Prod with automated gates
- •Terraform IaC for reproducible infrastructure across environments
- •Kubernetes (AKS) orchestration for containerized workloads
- •ApiOps publisher keeps APIM in sync with code automatically
- •Environment-specific variable groups and secrets handling
Deployment
PRs trigger CI. Merges to main trigger Dev deployment. Staging and Prod require gate approval. API definitions publish to APIM automatically.
Impact
Fully automated deployment flow with CI gates at every stage. Eliminated manual deployment steps. Decreased production incidents related to deployment errors.
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Always interested in thoughtful engineering challenges, platform problems, and building things that matter.