You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
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Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.
Implement declarative, Git-based continuous delivery for Kubernetes using ArgoCD or Flux CD, following OpenGitOps principles.
# 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
gitops-repo/
├── apps/
│ ├── production/
│ │ ├── app1/
│ │ │ ├── kustomization.yaml
│ │ │ └── deployment.yaml
│ │ └── app2/
│ └── staging/
├── infrastructure/
│ ├── ingress-nginx/
│ ├── cert-manager/
│ └── monitoring/
└── argocd/
├── applications/
└── projects/
# 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
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: {}
# 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
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
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
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
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
strategy:
blueGreen:
activeService: my-app
previewService: my-app-preview
autoPromotionEnabled: false
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
# Encrypt secret
kubeseal --format yaml < secret.yaml > sealed-secret.yaml
# Commit sealed-secret.yaml to Git
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
k8s-manifest-generator - For creating manifestshelm-chart-scaffolding - For packaging applications아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
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Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
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Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
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Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
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Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.
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