任何的Kubernetes运行容器都应该设置资源的申请。限制的设定需要根据业务情况决定，防止容器无限制地消耗资源影响同一节点上的其他容器。资源申请及限制示例：
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apiVersion: v1 kind: Service metadata: name : kafka namespace: infra labels: app: "kafka" annotations: service.alpha.kubernetes.io/tolerate-unready-endpoints: "true" spec: ports: - name: broker port: 9092 clusterIP: None selector: app: "kafka" --- apiVersion: apps/v1beta1 kind: StatefulSet metadata: name : kafka namespace: infra labels: app: "kafka" spec: serviceName: kafka replicas: 3 template: metadata: labels: app: "kafka" spec: nodeSelector: nodezone: b imagePullSecrets: - name: regsecret containers: - name : kafka-broker image: "loads/kafka:2.1.0" imagePullPolicy: "Always" livenessProbe: exec: command: - bin/kafka-topics.sh - --zookeeper - "zookeeper:2181" - --list initialDelaySeconds: 20 timeoutSeconds: 5 readinessProbe: exec: command: - bin/kafka-topics.sh - --zookeeper - "zookeeper:2181" - --list initialDelaySeconds: 10 timeoutSeconds: 5 ports: - containerPort: 9092 name: kafka resources: requests: cpu : 5000m memory: 8000Mi requests: cpu : 1000m memory: 2000Mi |
不同的应用对于资源的要求会不一样，可以通过 kubectl top指令查看运行的pod资源使用信息，并根据真实的资源使用情况逐步调整完善配置文件的资源申请信息。例如：
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ijohn:~ john$ kubectl top pod -n log NAME CPU(cores) MEMORY(bytes) log-agent-2rfkw 148m 508Mi log-agent-9mr4z 193m 672Mi log-agent-kzpd6 230m 762Mi log-agent-vk7b4 162m 681Mi log-archiver-66ccb7dd7b-4wpl7 3m 7Mi log-cleaner-5966f8cd55-vz8w7 0m 2Mi log-dumper-9b9d8dc5-b9vzv 398m 3773Mi log-kafka-0 1518m 8829Mi log-kafka-1 1341m 4480Mi log-kafka-2 874m 7426Mi log-zookeeper-0 6m 497Mi log-zookeeper-1 6m 509Mi log-zookeeper-2 7m 510Mi ijohn:~ john$ |
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