CI/CD AUTOMATION & PLATFORM ENGINEERING

Production-style CI/CD pipelines across Azure, GitHub, AWS, and GCP using Pipeline/Workflow as Code

Designing and implementing production-style CI/CD pipelines across multiple cloud platforms with governance controls, security integration, and environment-based deployments. These projects demonstrate the same CI/CD capability implemented across multiple platforms, highlighting agnostic design, governance awareness, and production-ready automation.

Pipeline as Code · Multi-Cloud Governance · Production Automation · Security-First CI/CD

Multi-Cloud CI/CD Projects

Four production-grade CI/CD implementations across major cloud platforms, each demonstrating Pipeline/Workflow as Code, governance controls, and environment-based deployments.

Enterprise CI/CD

Enterprise CI/CD on Azure

Azure

Azure DevOps CI/CD – Pipeline as Code (YAML) with manual approval gates, environment-based governance, and Azure Static Web App deployment.

Azure DevOps YAML Pipelines Static Web Apps Manual Gates

Pipeline as Code Governance & Approvals Multi-Stage Deployments Cloud-Native CI/CD

Pipeline as Code (YAML)

Manual approval gates

Environment-based governance

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Developer Platform

Developer Platform CI/CD

GitHub

GitHub Actions CI/CD – Workflow as Code with event-driven automation, branch protection & PR-based governance, and GitHub Pages deployment.

GitHub Actions Workflow as Code GitHub Pages Event-driven

Pipeline as Code Governance & Approvals Secrets & Identity Cloud-Native CI/CD

GitHub Actions workflows

Branch protection & PR governance

Event-driven automation

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Cloud-Native

Cloud-Native CI/CD on AWS

AWS

AWS CI/CD (CodePipeline / GitHub Actions / SageMaker / ECS / Lambda) with IAM-based security, artifact & model deployment, and production-style cloud workflows.

AWS CodePipeline IAM Security ECS/Lambda SageMaker

Pipeline as Code Secrets & Identity Multi-Stage Deployments Cloud-Native CI/CD

IAM-based security

Artifact & model deployment

Production cloud workflows

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Cloud-Native

Cloud-Native CI/CD on GCP

GCP

GCP CI/CD (Cloud Build / GitHub Actions / Vertex AI / GKE) with service-account-based security, environment separation, and cloud-native deployment strategy.

Cloud Build Service Accounts Vertex AI GKE

Pipeline as Code Secrets & Identity Multi-Stage Deployments Cloud-Native CI/CD

Service-account-based security

Environment separation

Cloud-native deployment

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Platform Engineering

CI/CD Platform Engineering using AWS CDK

AWS

Provisioned a production-style CI/CD platform on AWS using CDK (Python), integrating GitHub, CodePipeline, CodeBuild, IAM, Secrets Manager, and S3 through Infrastructure as Code for reproducible and secure deployments.

AWS CDK (Python) CodePipeline CodeBuild IAM S3

Infrastructure as Code Pipeline as Code Multi-Stage CI/CD Platform Engineering

IAM roles & least-privilege security

Artifact storage via Amazon S3

Reproducible CI/CD via AWS CDK

View Project

Multi-Cloud Platform Capabilities

Azure

Azure DevOps CI/CD – Pipeline as Code (YAML) with manual approval gates and environment-based governance

GitHub

GitHub Actions – Workflow as Code with event-driven automation and PR-based governance

AWS

AWS CI/CD with IAM-based security, artifact management, and production-style cloud workflows

GCP

GCP CI/CD with service-account-based security, environment separation, and cloud-native deployment

PIPELINE AS CODE

YAML-based pipeline definitions, version-controlled and repeatable across all cloud platforms.

GOVERNANCE AWARENESS

Manual approval gates, branch protection, and environment-based controls for production deployments.

SECURITY-FIRST CI/CD

IAM policies, service accounts, and secrets management integrated into every pipeline stage.

CLOUD-NATIVE AUTOMATION

Platform-specific native services leveraged for optimal performance and integration.

CI/CD Automation Pipeline

ci-cd-pipeline.sh

$ git push origin main

Triggering CI/CD pipeline...

✓ Code checkout completed

✓ Build and test completed

✓ Security scanning passed

✓ Deployment to staging environment

⏸️ Manual approval required for production

🚀 Application deployed successfully!