Weave Scope 是一款 Docker 和 Kubernetes 的可视化监控工具。它提供了自上而下的应用程序视图以及整个基础架构视图，用户可以轻松对分布式的容器化应用进行实时监控和问题诊断，以确保容器应用程序的稳定性和性能。
Weave Scope 可以监控 Kubernetes 集群中的一系列资源的状态、资源使用情况、应用拓扑、scale，还可以通过浏览器直接进入容器内部调试等。其提供的功能包括:
交互式拓扑界面 图形模式和表格模式 过滤功能 搜索功能 实时度量 容器排错 插件扩展
Weave Scope 由 App 和 Probe Agent 两部分组成：
Probe Agent：负责收集容器和宿主的信息，发送给App App：负责处理收集的信息，生成相应报告，并以交互界面的形式展示
官网：https://www.weave.works/ ，最新版本：1.13.1
k8s以DaemonSet方式部署 scope agent，以Deployment方式部署 scope app：
weave-scope.yaml
apiVersion: v1kind: Namespacemetadata: name: weave---apiVersion: v1kind: ServiceAccountmetadata: name: weave-scope namespace: weave labels: name: weave-scope---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRolemetadata: name: weave-scope labels: name: weave-scoperules: - apiGroups: - '' resources: - pods verbs: - get - list - watch - delete - apiGroups: - '' resources: - pods/log - services - nodes - namespaces - persistentvolumes - persistentvolumeclaims verbs: - get - list - watch - apiGroups: - apps resources: - deployments - daemonsets - statefulsets verbs: - get - list - watch - apiGroups: - batch resources: - cronjobs - jobs verbs: - get - list - watch - apiGroups: - extensions resources: - deployments - daemonsets verbs: - get - list - watch - apiGroups: - apps resources: - deployments/scale verbs: - get - update - apiGroups: - extensions resources: - deployments/scale verbs: - get - update - apiGroups: - storage.k8s.io resources: - storageclasses verbs: - get - list - watch - apiGroups: - volumesnapshot.external-storage.k8s.io resources: - volumesnapshots - volumesnapshotdatas verbs: - list - watch---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRoleBindingmetadata: name: weave-scope labels: name: weave-scoperoleRef: kind: ClusterRole name: weave-scope apiGroup: rbac.authorization.k8s.iosubjects: - kind: ServiceAccount name: weave-scope namespace: weave---apiVersion: extensions/v1beta1kind: Ingressmetadata: name: weave-scope namespace: weavespec: rules: - host: scope.lzxlinux.com http: paths: - path: / backend: serviceName: weave-scope-app servicePort: 80---apiVersion: v1kind: Servicemetadata: name: weave-scope-app namespace: weave labels: name: weave-scope-app app: weave-scope weave-cloud-component: scope weave-scope-component: appspec: ports: - name: app port: 80 protocol: TCP targetPort: 4040 selector: name: weave-scope-app app: weave-scope weave-cloud-component: scope weave-scope-component: app ---apiVersion: apps/v1kind: Deploymentmetadata: name: weave-scope-app namespace: weave labels: name: weave-scope-app app: weave-scope weave-cloud-component: scope weave-scope-component: appspec: replicas: 1 selector: matchLabels: name: weave-scope-app app: weave-scope weave-cloud-component: scope weave-scope-component: app template: metadata: labels: name: weave-scope-app app: weave-scope weave-cloud-component: scope weave-scope-component: app spec: containers: - name: app image: docker.io/weaveworks/scope:1.13.1 imagePullPolicy: IfNotPresent ports: - containerPort: 4040 protocol: TCP args: - '--mode=app' command: - /home/weave/scope env: []---apiVersion: apps/v1kind: Deploymentmetadata: name: weave-scope-cluster-agent namespace: weave labels: name: weave-scope-cluster-agent app: weave-scope weave-cloud-component: scope weave-scope-component: cluster-agentspec: replicas: 1 selector: matchLabels: name: weave-scope-cluster-agent app: weave-scope weave-cloud-component: scope weave-scope-component: cluster-agent template: metadata: labels: name: weave-scope-cluster-agent app: weave-scope weave-cloud-component: scope weave-scope-component: cluster-agent spec: serviceAccountName: weave-scope containers: - name: scope-cluster-agent image: docker.io/weaveworks/scope:1.13.1 imagePullPolicy: IfNotPresent ports: - containerPort: 4041 protocol: TCP args: - '--mode=probe' - '--probe-only' - '--probe.kubernetes.role=cluster' - '--probe.http.listen=:4041' - '--probe.publish.interval=4500ms' - '--probe.spy.interval=2s' - 'weave-scope-app.weave.svc.cluster.local:80' command: - /home/weave/scope env: [] resources: limits: memory: 2000Mi requests: cpu: 25m memory: 80Mi---apiVersion: apps/v1kind: DaemonSetmetadata: name: weave-scope-agent namespace: weave labels: name: weave-scope-agent app: weave-scope weave-cloud-component: scope weave-scope-component: agentspec: updateStrategy: type: RollingUpdate minReadySeconds: 5 selector: matchLabels: name: weave-scope-agent app: weave-scope weave-cloud-component: scope weave-scope-component: agent template: metadata: labels: name: weave-scope-agent app: weave-scope weave-cloud-component: scope weave-scope-component: agent spec: containers: - name: scope-agent image: docker.io/weaveworks/scope:1.13.1 imagePullPolicy: IfNotPresent args: - '--mode=probe' - '--probe-only' - '--probe.kubernetes.role=host' - '--probe.publish.interval=4500ms' - '--probe.spy.interval=2s' - '--probe.docker.bridge=docker0' - '--probe.docker=true' - 'weave-scope-app.weave.svc.cluster.local:80' command: - /home/weave/scope env: [] resources: limits: memory: 2000Mi requests: cpu: 100m memory: 100Mi securityContext: privileged: true volumeMounts: - name: scope-plugins mountPath: /var/run/scope/plugins - name: sys-kernel-debug mountPath: /sys/kernel/debug - name: docker-socket mountPath: /var/run/docker.sock volumes: - name: scope-plugins hostPath: path: /var/run/scope/plugins - name: sys-kernel-debug hostPath: path: /sys/kernel/debug - name: docker-socket hostPath: path: /var/run/docker.sock dnsPolicy: ClusterFirstWithHostNet hostNetwork: true hostPID: true tolerations: - effect: NoSchedule operator: Exists - effect: NoExecute operator: Exists
- 部署：
kubectl apply -f weave-scope.yaml
kubectl get svc -n weave NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE weave-scope-app ClusterIP 10.106.124.95 <none> 80/TCP 25s kubectl get pod -n weave NAME READY STATUS RESTARTS AGE weave-scope-agent-27zpb 1/1 Running 0 32s weave-scope-agent-c5hcq 1/1 Running 0 32s weave-scope-agent-j4tf7 1/1 Running 0 32s weave-scope-agent-s8p6s 1/1 Running 0 32s weave-scope-app-bc7444d59-6xwkk 1/1 Running 0 33s weave-scope-cluster-agent-5c5dcc8cb-4d7mh 1/1 Running 0 33s
- 访问ui：
添加hosts：scope.lzxlinux.com，访问scope.lzxlinux.com
可以看到，当前k8s集群有4个节点（1个master，3个node）。
- ui操作：
以pod资源对象为例，Weave Scope监控对象有进程、容器、pods、主机等，监控项有cpu、内存、平均负载等。
图形模式，
表格模式，
点击某个pod，会展示状态、资源使用、进程等详细信息，
点击pod的Get logs，会打开Terminal查看日志，
点击pod的Describe，会打开Terminal查看资源信息（类似 kubectl describe 命令），
点击Controllers，对于Deployment，可以直接扩缩容以及查看POD的数量和详细信息，
点击Containers，可以对容器进行 attach、exec shell、restart、pause、stop 操作，
此外，左下角可按条件展示，如命名空间、容器类型（系统或应用）、容器状态（停止或运行）等，
同时，搜索栏可以按条件搜索相应的资源对象，如命名空间、对象类型、对象名称、image及版本、运行状态、资源使用率等，
至此，k8s部署weave scope完成。已存放至个人github：kubernetes