🛠️ DevOps Engineering Patterns: Modular, Scalable CI/CD Orchestration

Welcome! This repository is a hands-on, production-inspired reference for building, testing, and deploying modern applications using clean, modular, and flexible CI/CD pipelines. It demonstrates best practices for DevOps engineers—from automation and security to monitoring and collaboration—across multiple tech stacks and environments.

Status: The repository is in active development, building out reusable patterns, composable GitHub Actions, and real-world workflow examples.

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📌 Core DevOps Responsibilities Demonstrated

1. Automating CI/CD Pipelines
   Fast, reliable, and repeatable build, test, and deploy for every code change.

2. Infrastructure as Code (IaC)
   Versioned, automated, and scalable infrastructure with tools like Terraform, CloudFormation, or Pulumi.

3. System Reliability and Monitoring
   Logging, metrics, alerting, and incident response to maximize uptime and performance.

4. Security Best Practices
   Secrets management, access controls, and secure-by-default configurations throughout the pipeline.

5. Cross-Team Collaboration
   Integrations and workflows to support developers, QA, and IT in shared delivery and operations.

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🎯 Goals

• Provide modular, environment-aware, and production-ready CI/CD workflows
• Support frontend, backend, infrastructure, database, and ML projects
• Use GitHub Actions for automation and orchestration
• Enable multi-environment promotion (dev → uat → staging → prod)
• Model best practices in automation, security, testing, rollback, and notifications
• Serve as a learning, onboarding, and reference resource for DevOps engineers

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📁 Repository Structure

.github/
  ├── actions/          # Custom, composable GitHub Actions (delegators + providers)
  ├── workflows/        # Central, reusable workflow definitions (CI, CD, etc.)
  └── templates/        # Optional: workflow templates for various app types
apps/
  ├── nextjs/           # Nextjs app (frontend apps)
  ├── golang/           # Go app (backend apps)
  ├── ollama/           # ML model (AI apps)
Readme.md               # You're here!

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🔧 What's Included

• Reusable Actions & Workflows
  Common CI/CD steps abstracted into modular, DRY GitHub Actions and reusable workflows.

• App Simulations
  Each apps/ subdirectory simulates a standalone application (e.g., Next.js, Nuxt.js, Python, Node.js, ML).

• CI/CD Examples
  End-to-end, real-world pipelines for building, testing, and deploying different app types.

• Documentation
  Guides on structure, usage, best practices, extensibility, and examples.

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🚦 CI/CD Pipeline Steps

Continuous Integration (CI)

1. Checkout code
2. Install dependencies
3. Lint / static analysis
4. Unit & integration tests
5. Build application (e.g., Docker image, binary, package)
6. Package & publish artifact

Continuous Deployment/Delivery (CD)

1. Fetch artifact
2. Deploy to environment (dev, staging, prod, etc.)
3. Run smoke/sanity tests
4. Apply deployment strategy (rolling, blue/green, canary, etc.)
5. Monitor deployment (logs, metrics, alerts)
6. Notify stakeholders

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🧠 CI/CD Step Importance by Environment

Step	Prototype	Dev	Staging	Prod
Checkout	✅	✅	✅	✅
Install	✅	✅	✅	✅
Lint	🔁	✅	✅	✅
Unit Tests	🔁	✅	✅	✅
Build	🔁	✅	✅	✅
Package	❌	🔁	✅	✅
Publish Artifact	❌	🔁	✅	✅
Fetch Artifact	❌	🔁	✅	✅
Deploy	❌	✅	✅	✅
Smoke Tests	❌	❌	✅	✅
Strategy (e.g., canary)	❌	❌	🔁	✅
Monitor	❌	❌	🔁	✅
Notify	❌	❌	🔁	✅

✅ = Always  🔁 = Recommended  ❌ = Optional/Skip

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🔁 Recommended Workflows and Triggers

Workflow	Trigger	Branch(es)	Notes
ci.yml	push, pull_request	dev, feature/*, main	Fast feedback for all changes.
cd.yml	push	main → staging	Automated deploy after merge.
cd.yml	push	release/* or tags → prod	Production deploy from locked branch.
cd.yml	workflow_dispatch	Any	Manual deployments, hotfixes, or UAT.

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🏗️ Pipeline Features by App Type

App Type	Pipeline Features
Frontend	Build, lint, test, deploy (e.g., React, Next.js, Nuxt.js)
Backend	API test, build, deploy (Node, Python, Go)
Infra	Terraform validate, plan, apply
Database	Migration, backup, rollout pipelines
ML	Model package & deploy (e.g., FastAPI, Docker, Kubeflow)

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🏞️ Environments & Promotion

• development: Fast feedback, automated
• uat: Approval required
• staging: Mirrors production, pre-release
• production: Gated, monitored, with rollback support

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🤝 Contributing

We welcome your ideas, improvements, and new patterns!

• Fork & branch
• Open a PR
• Let’s help shape the future of DevOps together

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📄 License

This project is licensed under the MIT License.

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👨‍💻 Author:
Created by Rainer Arencibia and maintained by himself and the DevOps community.