概览与核心价值Argo Rollouts 提供渐进式交付能力,通过分析模板与分步权重控制,在保障可用性前提下完成发布与快速回滚。金丝雀示例apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
name: web
spec:
replicas: 6
strategy:
canary:
steps:
- setWeight: 10
- pause: {duration: 120}
- setWeight: 30
- pause: {duration: 300}
- setWeight: 60
- pause: {duration: 300}
analysis:
templates:
- templateName: success-rate
startingStep: 1
selector:
matchLabels:
app: web
template:
metadata:
labels:
app: web
spec:
containers:
- name: web
image: myapp:2.0.0
ports:
- containerPort: 8080
分析模板:apiVersion: argoproj.io/v1alpha1
kind: AnalysisTemplate
metadata:
name: success-rate
spec:
metrics:
- name: http-success-rate
interval: 60s
count: 3
successCondition: result[0] > 0.995
failureCondition: result[0] < 0.99
provider:
prometheus:
address: http://prometheus.monitoring.svc:9090
query: sum(rate(http_requests_total{status=~"2.."}[5m])) / sum(rate(http_requests_total[5m]))
蓝绿示例spec:
strategy:
blueGreen:
activeService: web-active
previewService: web-preview
autoPromotionEnabled: false
参数与验证环境: Argo Rollouts v1.7+。验证点:权重分步提升,SLO 达成后继续推进,否则回滚蓝绿在预览服务验证通过后再切换活动服务最佳实践定义与业务相关的分析指标,明确阈值与窗口结合健康探针与超时策略,确保快速失败与回滚与 Ingress/Service 配置配合,保障路由正确结论基于分析模板与分步权重,Argo Rollouts 能实现稳健的渐进式发布,并在异常时快速回滚,提升交付质量与稳定性。

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