Back to Skills

gitops-workflow

camoneart
Updated Today
25 views
2
2
View on GitHub
Otherautomation

About

This skill enables developers to implement GitOps workflows using ArgoCD and Flux for automated, declarative Kubernetes deployments. It provides guidance for setting up continuous reconciliation, managing multi-cluster deployments, and automating application deployments directly from Git. Use it when adopting GitOps practices or establishing declarative infrastructure management for Kubernetes.

Documentation

GitOps Workflow

Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.

Purpose

Implement declarative, Git-based continuous delivery for Kubernetes using ArgoCD or Flux CD, following OpenGitOps principles.

When to Use This Skill

  • Set up GitOps for Kubernetes clusters
  • Automate application deployments from Git
  • Implement progressive delivery strategies
  • Manage multi-cluster deployments
  • Configure automated sync policies
  • Set up secret management in GitOps

OpenGitOps Principles

  1. Declarative - Entire system described declaratively
  2. Versioned and Immutable - Desired state stored in Git
  3. Pulled Automatically - Software agents pull desired state
  4. Continuously Reconciled - Agents reconcile actual vs desired state

ArgoCD Setup

1. Installation

# Create namespace
kubectl create namespace argocd

# Install ArgoCD
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml

# Get admin password
kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d

Reference: See references/argocd-setup.md for detailed setup

2. Repository Structure

gitops-repo/
├── apps/
│   ├── production/
│   │   ├── app1/
│   │   │   ├── kustomization.yaml
│   │   │   └── deployment.yaml
│   │   └── app2/
│   └── staging/
├── infrastructure/
│   ├── ingress-nginx/
│   ├── cert-manager/
│   └── monitoring/
└── argocd/
    ├── applications/
    └── projects/

3. Create Application

# argocd/applications/my-app.yaml
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: my-app
  namespace: argocd
spec:
  project: default
  source:
    repoURL: https://github.com/org/gitops-repo
    targetRevision: main
    path: apps/production/my-app
  destination:
    server: https://kubernetes.default.svc
    namespace: production
  syncPolicy:
    automated:
      prune: true
      selfHeal: true
    syncOptions:
    - CreateNamespace=true

4. App of Apps Pattern

apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: applications
  namespace: argocd
spec:
  project: default
  source:
    repoURL: https://github.com/org/gitops-repo
    targetRevision: main
    path: argocd/applications
  destination:
    server: https://kubernetes.default.svc
    namespace: argocd
  syncPolicy:
    automated: {}

Flux CD Setup

1. Installation

# Install Flux CLI
curl -s https://fluxcd.io/install.sh | sudo bash

# Bootstrap Flux
flux bootstrap github \
  --owner=org \
  --repository=gitops-repo \
  --branch=main \
  --path=clusters/production \
  --personal

2. Create GitRepository

apiVersion: source.toolkit.fluxcd.io/v1
kind: GitRepository
metadata:
  name: my-app
  namespace: flux-system
spec:
  interval: 1m
  url: https://github.com/org/my-app
  ref:
    branch: main

3. Create Kustomization

apiVersion: kustomize.toolkit.fluxcd.io/v1
kind: Kustomization
metadata:
  name: my-app
  namespace: flux-system
spec:
  interval: 5m
  path: ./deploy
  prune: true
  sourceRef:
    kind: GitRepository
    name: my-app

Sync Policies

Auto-Sync Configuration

ArgoCD:

syncPolicy:
  automated:
    prune: true      # Delete resources not in Git
    selfHeal: true   # Reconcile manual changes
    allowEmpty: false
  retry:
    limit: 5
    backoff:
      duration: 5s
      factor: 2
      maxDuration: 3m

Flux:

spec:
  interval: 1m
  prune: true
  wait: true
  timeout: 5m

Reference: See references/sync-policies.md

Progressive Delivery

Canary Deployment with ArgoCD Rollouts

apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
  name: my-app
spec:
  replicas: 5
  strategy:
    canary:
      steps:
      - setWeight: 20
      - pause: {duration: 1m}
      - setWeight: 50
      - pause: {duration: 2m}
      - setWeight: 100

Blue-Green Deployment

strategy:
  blueGreen:
    activeService: my-app
    previewService: my-app-preview
    autoPromotionEnabled: false

Secret Management

External Secrets Operator

apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
  name: db-credentials
spec:
  refreshInterval: 1h
  secretStoreRef:
    name: aws-secrets-manager
    kind: SecretStore
  target:
    name: db-credentials
  data:
  - secretKey: password
    remoteRef:
      key: prod/db/password

Sealed Secrets

# Encrypt secret
kubeseal --format yaml < secret.yaml > sealed-secret.yaml

# Commit sealed-secret.yaml to Git

Best Practices

  1. Use separate repos or branches for different environments
  2. Implement RBAC for Git repositories
  3. Enable notifications for sync failures
  4. Use health checks for custom resources
  5. Implement approval gates for production
  6. Keep secrets out of Git (use External Secrets)
  7. Use App of Apps pattern for organization
  8. Tag releases for easy rollback
  9. Monitor sync status with alerts
  10. Test changes in staging first

Troubleshooting

Sync failures:

argocd app get my-app
argocd app sync my-app --prune

Out of sync status:

argocd app diff my-app
argocd app sync my-app --force

Related Skills

  • k8s-manifest-generator - For creating manifests
  • helm-chart-scaffolding - For packaging applications

Quick Install

/plugin add https://github.com/camoneart/claude-code/tree/main/gitops-workflow

Copy and paste this command in Claude Code to install this skill

GitHub 仓库

camoneart/claude-code
Path: skills/gitops-workflow

Related Skills

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill

business-rule-documentation

Meta

This skill provides standardized templates for systematically documenting business logic and domain knowledge following Domain-Driven Design principles. It helps developers capture business rules, process flows, decision trees, and terminology glossaries to maintain consistency between requirements and implementation. Use it when documenting domain models, creating business rule repositories, or bridging communication between business and technical teams.

View skill

Algorithmic Art Generation

Meta

This skill helps developers create algorithmic art using p5.js, focusing on generative art, computational aesthetics, and interactive visualizations. It automatically activates for topics like "generative art" or "p5.js visualization" and guides you through creating unique algorithms with features like seeded randomness, flow fields, and particle systems. Use it when you need to build reproducible, code-driven artistic patterns.

View skill

generating-unit-tests

Meta

This skill automatically generates comprehensive unit tests from source code when developers request test creation. It supports multiple testing frameworks like Jest, pytest, and JUnit, intelligently detecting the appropriate one or using a specified framework. Use it when asking to "generate tests," "create unit tests," or using the "gut" shortcut with file paths.

View skill