99.1.51:6443 check weight 1 inter 2000 rise 2 fall 2 server s2 10.99.1.52:6443 check weight 1 inter 2000 rise 2 fall 2 server s3 10.99.1.53:6443 check weight 1 inter 2000 rise - weight: 60 #取值1~100，越大越优先 preference: matchExpressions: - {key: disktype, operator: In, values: ["nvme"]} #匹配标签名为disktype值为 nvme的node - weight: 30 podAffinity: #结点亲和性 preferredDuringSchedulingIgnoredDuringExecu�on: #软亲和性 - weight: 70 podAffinityTerm: labelSelector: matchExpressions: -

0.75 priority: ##cpu usage - name: cpu_usage_avg_5m weight: 0.2 - name: cpu_usage_max_avg_1h weight: 0.3 - name: cpu_usage_max_avg_1d weight: 0.5 Kube-apiserver Pod Pod NodeResourceUsage Annotator

runtimeErrorCo ntoller failedPodContr oller Detector Strategy Unhealthy node list Fast Taint Weight Adjust Recovery Manual Handling Improve Auto Human experience Improve of strategy …… 1.

Container ECI ECI ECI ECI ECI ECI ECI ECI ECI ECI ECI ECI ECI ECI • Bulti-in Security • Light-Weight Virtualization • High Density • Scale and efficiency • Optimization Alinux2 for Sandbox Storage

$ heroku apps $ heroku domains $ heroku releases $ heroku pipeline $ rio run $ rio scale $ rio weight/promote $ rio route $ rio up riofile 抽象程度 vs 可扩展性 • 随着抽象程度的增高可以显著降低学习曲线，但是却不得不在扩展性上妥协 抽象程度 可扩展性

- e2e-az1 - e2e-az2 preferredDuringSchedulingIgnoredDuringExecution: - weight: 1 preference: matchExpressions: - key: another-node-label-key kubernetes.io/zone podAntiAffinity: preferredDuringSchedulingIgnoredDuringExecution: - weight: 100 podAffinityTerm: labelSelector: matchExpressions: