deployment-automation

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INSTALLATION
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SKILL.md

Deployment Automation

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Establish automated deployment pipelines that safely and reliably move applications across development, staging, and production environments with minimal manual intervention and risk.

When to Use

  • Continuous deployment to Kubernetes
  • Infrastructure as Code deployment
  • Multi-environment promotion
  • Blue-green deployment strategies
  • Canary release management
  • Infrastructure provisioning
  • Automated rollback procedures

Quick Start

Minimal working example:

# helm/Chart.yaml

apiVersion: v2

name: myapp

description: My awesome application

type: application

version: 1.0.0

# helm/values.yaml

replicaCount: 3

image:

  repository: ghcr.io/myorg/myapp

  pullPolicy: IfNotPresent

  tag: "1.0.0"

service:

  type: ClusterIP

  port: 80

  targetPort: 3000

resources:

  requests:

    memory: "256Mi"

    cpu: "250m"

  limits:

    memory: "512Mi"

    cpu: "500m"

autoscaling:

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide

Contents

Helm Deployment Chart

Helm Deployment Chart

GitHub Actions Deployment Workflow

GitHub Actions Deployment Workflow

ArgoCD Deployment

ArgoCD Deployment

Blue-Green Deployment

Blue-Green Deployment

Best Practices

✅ DO

  • Use Infrastructure as Code (Terraform, Helm)
  • Implement GitOps workflows
  • Use blue-green deployments
  • Implement canary releases
  • Automate rollback procedures
  • Test deployments in staging first
  • Use feature flags for gradual rollout
  • Monitor deployment health
  • Document deployment procedures
  • Implement approval gates for production
  • Version infrastructure code
  • Use environment parity

❌ DON'T

  • Deploy directly to production
  • Skip testing in staging
  • Use manual deployment scripts
  • Deploy without rollback plan
  • Ignore health checks
  • Use hardcoded configuration
  • Deploy during critical hours
  • Skip pre-deployment validation
  • Forget to backup before deploy
  • Deploy from local machines
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