What is argorollouts?

This Claude skill provides a comprehensive guide and automation assistant for Argo Rollouts, a Kubernetes controller designed for advanced progressive delivery. It empowers users to implement sophisticated deployment strategies like canary and blue-green, automate metrics-based analysis, and manage traffic shifting through detailed CLI commands, YAML templates, and troubleshooting patterns, ensuring safer and more reliable software releases.

When should I use argorollouts?

argorollouts is useful in the following scenarios: • Implementing Canary Deployments: Gradually shift traffic to new versions with automated analysis gates to ensure stability before full rollout. • Executing Blue-Green Deployments: Perform instant traffic switching between active and preview environments to minimize downtime and provide easy rollbacks. • Automated Metrics Analysis: Define AnalysisTemplates to automatically promote or roll back deployments based on real-time data from Prometheus, Datadog, or CloudWatch. • Traffic Management Integration: Configure service meshes like Istio and Linkerd or ingress controllers like NGINX and AWS ALB for precise traffic routing. • Operational Workflow Management: Streamline DevOps tasks using CLI commands for promoting, aborting, retrying, and monitoring complex Kubernetes rollouts.

name	ArgoRollouts
description	Argo Rollouts progressive delivery controller for Kubernetes. USE WHEN user mentions rollouts, canary deployments, blue-green deployments, progressive delivery, traffic shifting, analysis templates, or Argo Rollouts. Provides deployment strategies, CLI commands, metrics analysis, and YAML examples.

Argo Rollouts Skill

Comprehensive guide for Argo Rollouts - a Kubernetes controller providing advanced deployment capabilities including blue-green, canary, and experimentation for Kubernetes.

Quick Reference

Resource	Description
Rollout	Replaces Deployment, adds progressive delivery strategies
AnalysisTemplate	Defines metrics queries for automated analysis
AnalysisRun	Instantiated analysis from template
Experiment	Runs ReplicaSets for A/B testing
ClusterAnalysisTemplate	Cluster-scoped AnalysisTemplate

Core Concepts

Rollout CRD

The Rollout resource replaces standard Kubernetes Deployment and provides:

Blue-Green Strategy: Instant traffic switching between versions
Canary Strategy: Gradual traffic shifting with analysis gates
Traffic Management: Integration with service meshes and ingress controllers
Automated Analysis: Metrics-based promotion/rollback decisions

Deployment Strategies

Blue-Green:

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

Canary:

strategy:
  canary:
    steps:
    - setWeight: 20
    - pause: {duration: 5m}
    - setWeight: 50
    - analysis:
        templates:
        - templateName: success-rate

Traffic Management Integrations

Provider	Configuration Key
Istio	`trafficRouting.istio`
NGINX Ingress	`trafficRouting.nginx`
AWS ALB	`trafficRouting.alb`
Linkerd	`trafficRouting.linkerd`
SMI	`trafficRouting.smi`
Traefik	`trafficRouting.traefik`
Ambassador	`trafficRouting.ambassador`

CLI Commands (kubectl-argo-rollouts)

# Installation
kubectl argo rollouts version

# Rollout Management
kubectl argo rollouts get rollout <name>
kubectl argo rollouts status <name>
kubectl argo rollouts promote <name>
kubectl argo rollouts abort <name>
kubectl argo rollouts retry <name>
kubectl argo rollouts undo <name>
kubectl argo rollouts pause <name>
kubectl argo rollouts restart <name>

# Dashboard
kubectl argo rollouts dashboard

# Validation
kubectl argo rollouts lint <file>

Analysis Providers

Provider	Use Case
Prometheus	Metrics queries with PromQL
Datadog	Datadog metrics API
New Relic	NRQL queries
Wavefront	Wavefront queries
Kayenta	Canary analysis platform
CloudWatch	AWS CloudWatch metrics
Web	HTTP endpoint checks
Job	Kubernetes Job-based analysis

Reference Documentation

Summary - Overview and architecture
Deployment Strategies - Blue-green and canary details
CLI Commands - kubectl plugin reference
Analysis & Metrics - AnalysisTemplate configuration
Examples - Complete YAML examples

Common Patterns

Canary with Automated Analysis

steps:
- setWeight: 10
- pause: {duration: 1m}
- analysis:
    templates:
    - templateName: success-rate
    args:
    - name: service-name
      value: my-service
- setWeight: 50
- pause: {duration: 2m}

Blue-Green with Pre-Promotion Analysis

strategy:
  blueGreen:
    activeService: active-svc
    previewService: preview-svc
    prePromotionAnalysis:
      templates:
      - templateName: smoke-tests
    autoPromotionEnabled: false

Troubleshooting

Issue	Solution
Rollout stuck in Paused	Run `kubectl argo rollouts promote <name>`
Analysis failing	Check AnalysisRun status and metric queries
Traffic not shifting	Verify traffic management provider config
Pods not scaling	Check HPA and resource limits

Best Practices

Always use analysis gates for production canaries
Set appropriate pause durations between weight increases
Configure rollback thresholds in AnalysisTemplates
Use preview services for blue-green validation
Monitor AnalysisRuns during deployments
Version your AnalysisTemplates alongside application code

argorollouts

When & Why to Use This Skill

Use Cases