可视化UI界面Grafana的安装和配置
Grafana介绍
Grafana是一个跨平台的开源的度量分析和可视化工具，可以将采集的数据可视化的展示，并及时通知给告警接收方。它主要有以下六大特点：
1、展示方式：快速灵活的客户端图表，面板插件有许多不同方式的可视化指标和日志，官方库中具有丰富的仪表盘插件，比如热图、折线图、图表等多种展示方式；
2、数据源：Graphite，InfluxDB，OpenTSDB，Prometheus，Elasticsearch，CloudWatch和KairosDB等；
3、通知提醒：以可视方式定义最重要指标的警报规则，Grafana将不断计算并发送通知，在数据达到阈值时通过Slack、PagerDuty等获得通知；
4、混合展示：在同一图表中混合使用不同的数据源，可以基于每个查询指定数据源，甚至自定义数据源；
5、注释：使用来自不同数据源的丰富事件注释图表，将鼠标悬停在事件上会显示完整的事件元数据和标记。
安装Grafana
安装Grafana需要的镜像heapster-grafana-amd64_v5_0_4.tar.gz,把镜像上传到k8s的工作节点xianchaonode1上，手动解压： [root@xianchaonode1 ~]# docker load -i heapster-grafana-amd64_v5_0_4.tar.gz grafana.yaml文件在课件里，可上传到k8s的控制节点： 更新yaml文件： [root@xianchaomaster1 prometheus]# kubectl apply -f grafana.yaml #查看grafana是否创建成功： [root@xianchaomaster1 prometheus]# kubectl get pods -n kube-system -l task=monitoring 显示如下，说明部署成功 NAME READY STATUS RESTARTS AGE monitoring-grafana-675798bf47-cw9hr 1/1 Running 0 39s
apiVersion: apps/v1 kind: Deployment metadata: name: monitoring-grafana namespace: kube-system spec: replicas: 1 selector: matchLabels: task: monitoring k8s-app: grafana template: metadata: labels: task: monitoring apiVersion: apps/v1 kind: Deployment metadata: name: monitoring-grafana namespace: kube-system spec: replicas: 1 selector: matchLabels: task: monitoring k8s-app: grafana template: metadata: labels: task: monitoring k8s-app: grafana spec: containers: - name: grafana image: 172.17.166.217/kubenetes/heapster-grafana-amd64:v5.0.4 ports: - containerPort: 3000 protocol: TCP volumeMounts: - mountPath: /etc/ssl/certs name: ca-certificates readOnly: true - mountPath: /var name: grafana-storage env: - name: INFLUXDB_HOST value: monitoring-influxdb - name: GF_SERVER_HTTP_PORT value: "3000" # The following env variables are required to make Grafana accessible via # the kubernetes api-server proxy. On production clusters, we recommend # removing these env variables, setup auth for grafana, and expose the grafana # service using a LoadBalancer or a public IP. - name: GF_AUTH_BASIC_ENABLED value: "false" - name: GF_AUTH_ANONYMOUS_ENABLED value: "true" - name: GF_AUTH_ANONYMOUS_ORG_ROLE value: Admin - name: GF_SERVER_ROOT_URL # If you're only using the API Server proxy, set this value instead: # value: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxy value: / volumes: - name: ca-certificates hostPath: path: /etc/ssl/certs - name: grafana-storage emptyDir: {} --- apiVersion: v1 kind: Service metadata: labels: # For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons) # If you are NOT using this as an addon, you should comment out this line. kubernetes.io/cluster-service: 'true' kubernetes.io/name: monitoring-grafana name: monitoring-grafana namespace: kube-system spec: # In a production setup, we recommend accessing Grafana through an external Loadbalancer # or through a public IP. # type: LoadBalancer # You could also use NodePort to expose the service at a randomly-generated port # type: NodePort ports: - port: 80 targetPort: 3000 selector: k8s-app: grafana type: ClusterIP
Grafana界面接入Prometheus数据源
查看grafana前端的service
[root@xianchaomaster1]# kubectl get svc -n kube-system | grep grafana
显示如下：
monitoring-grafana NodePort 10.106.3.47 <none> 80:30858/TCP
1）登陆grafana，在浏览器访问
192.168.40.180:30858
可看到如下界面：
2）配置grafana界面：
开始配置grafana的web界面：
选择Create your first data source
出现如下
Name: Prometheus
Type: Prometheus
HTTP 处的URL写 如下：
http://prometheus.monitor-sa.svc:9090
配置好的整体页面如下：
点击左下角Save & Test，出现如下Data source is working，说明prometheus数据源成功的被grafana接入了
导入的监控模板，可在如下链接搜索
https://grafana.com/dashboards?dataSource=prometheus&search=kubernetes
可直接导入node_exporter.json监控模板，这个可以把node节点指标显示出来
node_exporter.json在课件里
可直接导入docker_rev1.json，显示容器资源指标的，docker_rev1.json在课件里
怎么导入监控模板，按如下步骤：
上面Save & Test测试没问题之后，就可以返回Grafana主页面
点击左侧+号下面的Import，出现如下界面
选择Upload json file，出现如下
选择一个本地的json文件，我们选择的是上面让大家下载的node_exporter.json这个文件，选择之后出现如下：
注：箭头标注的地方Name后面的名字是node_exporter.json定义的
Prometheus后面需要变成Prometheus，然后再点击Import，就可以出现如下界面：
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"avg(irate(node_cpu_seconds_total{instance=~"$node",mode="user"}[1m]))", "format": "time_series", "intervalFactor": 2, "legendFormat": "User", "refId": "B", "step": 240 }, { "expr": "avg(irate(node_cpu_seconds_total{instance=~"$node",mode="idle"}[1m]))", "format": "time_series", "hide": true, "intervalFactor": 2, "legendFormat": "Idle", "refId": "F", "step": 240 }, { "expr": "avg(irate(node_cpu_seconds_total{instance=~"$node",mode="iowait"}[1m]))", "format": "time_series", "intervalFactor": 2, "legendFormat": "Iowait", "refId": "D", "step": 240 }, { "expr": "irate(node_disk_io_time_seconds_total{instance=~"$node"}[1m])", "format": "time_series", "intervalFactor": 1, "legendFormat": "{{device}}_每秒I/O操作%", "refId": "C" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "CPU使用率、磁盘每秒的I/O操作耗费时间（%）", "tooltip": { "shared": true, "sort": 0, "value_type": "individual" }, "transparent": false, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "decimals": null, "format": "percentunit", "label": "", "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": false } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": { "内存_Avaliable": "#6ED0E0", "内存_Cached": "#EF843C", "内存_Free": "#629E51", "内存_Total": "#6d1f62", "内存_Used": "#eab839", "可用": "#9ac48a", "总内存": "#bf1b00" }, "bars": false, "dashLength": 10, "dashes": false, "datasource": "${DS_PROMETHEUS}", "decimals": 2, "fill": 6, "gridPos": { "h": 7, "w": 10, "x": 14, "y": 13 }, "height": "300", "id": 156, "legend": { "alignAsTable": false, "avg": false, "current": true, "max": false, "min": false, "rightSide": false, "show": true, "total": false, "values": true }, "lines": true, "linewidth": 3, "links": [], "nullPointMode": "null", "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "node_memory_MemTotal_bytes_{instance=~"$node"}", "format": "time_series", "hide": false, "instant": false, "intervalFactor": 2, "legendFormat": "总内存", "refId": "A", "step": 4 }, { "expr": "node_memory_MemTotal_bytes{instance=~"$node"} - node_memory_MemAvailable_bytes{instance=~"$node"}", "format": "time_series", "hide": false, "intervalFactor": 2, "legendFormat": "已用", "refId": "B", "step": 4 }, { "expr": "node_memory_MemFree_bytes{instance=~"$node"}", "format": "time_series", "hide": true, "intervalFactor": 2, "legendFormat": "内存_Free", "refId": "C", "step": 4 }, { "expr": "node_memory_Buffers_bytes{instance=~"$node"}", "format": "time_series", "hide": true, "intervalFactor": 2, "legendFormat": "内存_Buffers", "refId": "D", "step": 4 }, { "expr": "node_memory_Cached_bytes{instance=~"$node"}", "format": "time_series", "hide": true, "intervalFactor": 2, "legendFormat": "内存_Cached", "refId": "E", "step": 4 }, { "expr": "node_memory_MemAvailable_bytes{instance=~"$node"}", "format": "time_series", "hide": false, "interval": "", "intervalFactor": 2, "legendFormat": "可用", "refId": "F", "step": 4 }, { "expr": "node_memory_MemTotal_bytes{instance=~"$node"} - (node_memory_Cached_bytes{instance=~"$node"} + node_memory_Buffers_bytes{instance=~"$node"} + node_memory_MemFree_bytes{instance=~"$node"})", "format": "time_series", "hide": true, "intervalFactor": 1, "refId": "G" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "内存信息", "tooltip": { "shared": true, "sort": 0, "value_type": "individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "format": "bytes", "label": null, "logBase": 1, "max": null, "min": "0", "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": { "vda_write": "#6ED0E0" }, "bars": true, "dashLength": 10, "dashes": false, "datasource": "${DS_PROMETHEUS}", "description": "Reads completed: 每个磁盘分区每秒读完成次数 Writes completed: 每个磁盘分区每秒写完成次数 IO now 每个磁盘分区每秒正在处理的输入/输出请求数", "fill": 2, "gridPos": { "h": 8, "w": 11, "x": 0, "y": 20 }, "height": "300", "id": 161, "legend": { "alignAsTable": false, "avg": false, "current": true, "hideEmpty": true, "hideZero": true, "max": true, "min": false, "show": true, "total": false, "values": true }, "lines": false, "linewidth": 1, "links": [], "nullPointMode": "null", "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [ { "alias": "/.*_读取$/", "transform": "negative-Y" } ], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "irate(node_disk_reads_completed_total{instance=~"$node"}[1m])", "format": "time_series", "hide": false, "interval": "", "intervalFactor": 2, "legendFormat": "{{device}}_读取", "refId": "A", "step": 10 }, { "expr": "irate(node_disk_writes_completed_total{instance=~"$node"}[1m])", "format": "time_series", "hide": false, "intervalFactor": 2, "legendFormat": "{{device}}_写入", "refId": "B", "step": 10 }, { "expr": "node_disk_io_now{instance=~"$node"}", "format": "time_series", "hide": true, "interval": "", "intervalFactor": 1, "legendFormat": "{{device}}", "refId": "C" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "磁盘读写速率（IOPS）", "tooltip": { "shared": true, "sort": 0, "value_type": "individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "decimals": null, "format": "iops", "label": "读取（-）/写入（+）I/O ops/sec", "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": { "TCP": "#6ED0E0" }, "bars": false, "dashLength": 10, "dashes": false, "datasource": "${DS_PROMETHEUS}", "description": "CurrEstab - 当前状态为 ESTABLISHED 或 CLOSE-WAIT 的 TCP 连接数 ActiveOpens - 已从 CLOSED 状态直接转换到 SYN-SENT 状态的 TCP 平均连接数(1分钟内) PassiveOpens - 已从 LISTEN 状态直接转换到 SYN-RCVD 状态的 TCP 平均连接数(1分钟内) TCP_alloc - 已分配（已建立、已申请到sk_buff）的TCP套接字数量 TCP_inuse - 正在使用（正在侦听）的TCP套接字数量 TCP_tw - 等待关闭的TCP连接数", "fill": 0, "gridPos": { "h": 8, "w": 13, "x": 11, "y": 20 }, "height": "300", "id": 158, "legend": { "alignAsTable": true, "avg": false, "current": true, "max": true, "min": false, "rightSide": true, "show": true, "total": false, "values": true }, "lines": true, "linewidth": 1, "links": [], "nullPointMode": "null", "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "node_netstat_Tcp_CurrEstab{instance=~'$node'}", "format": "time_series", "hide": false, "interval": "10s", "intervalFactor": 1, "legendFormat": "ESTABLISHED", "refId": "A", "step": 20 }, { "expr": "node_sockstat_TCP_tw{instance=~'$node'}", "format": "time_series", "intervalFactor": 1, "legendFormat": "TCP_tw", "refId": "D" }, { "expr": "irate(node_netstat_Tcp_ActiveOpens{instance=~'$node'}[1m])", "format": "time_series", "hide": false, "intervalFactor": 1, "legendFormat": "ActiveOpens", "refId": "B" }, { "expr": "irate(node_netstat_Tcp_PassiveOpens{instance=~'$node'}[1m])", "format": "time_series", "intervalFactor": 1, "legendFormat": "PassiveOpens", "refId": "C" }, { "expr": "node_sockstat_TCP_alloc{instance=~'$node'}", "format": "time_series", "intervalFactor": 1, "legendFormat": "TCP_alloc", "refId": "E" }, { "expr": "node_sockstat_TCP_inuse{instance=~'$node'}", "format": "time_series", "intervalFactor": 1, "legendFormat": "TCP_inuse", "refId": "F" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "TCP 连接情况", "tooltip": { "shared": true, "sort": 0, "value_type": "individual" }, "transparent": false, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": {}, "bars": false, "dashLength": 10, "dashes": false, "datasource": "${DS_PROMETHEUS}", "fill": 1, "gridPos": { "h": 8, "w": 24, "x": 0, "y": 28 }, "height": "300", "id": 157, "legend": { "alignAsTable": false, "avg": false, "current": true, "hideEmpty": true, "hideZero": true, "max": false, "min": false, "show": true, "total": false, "values": true }, "lines": true, "linewidth": 2, "links": [], "nullPointMode": "null", "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [ { "alias": "/.*_out上传$/", "transform": "negative-Y" } ], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "irate(node_network_receive_bytes_total{instance=~'$node',device!~'tap.*'}[5m])*8", "format": "time_series", "intervalFactor": 2, "legendFormat": "{{device}}_in下载", "refId": "A", "step": 4 }, { "expr": "irate(node_network_transmit_bytes_total{instance=~'$node',device!~'tap.*'}[5m])*8", "format": "time_series", "intervalFactor": 2, "legendFormat": "{{device}}_out上传", "refId": "B", "step": 4 } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "网络流量", "tooltip": { "shared": true, "sort": 0, "value_type": "individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "format": "bps", "label": "上传（-）/下载（+）", "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": false } ], "yaxis": { "align": false, "alignLevel": null } } ], "refresh": false, "schemaVersion": 16, "style": "dark", "tags": [ "StarsL", "Prometheus" ], "templating": { "list": [ { "auto": true, "auto_count": 30, "auto_min": "10s", "current": { "text": "1m", "value": "1m" }, "hide": 0, "label": "interval", "name": "interval", "options": [ { "selected": false, "text": "auto", "value": "$__auto_interval_interval" }, { "selected": true, "text": "1m", "value": "1m" }, { "selected": false, "text": "10m", "value": "10m" }, { "selected": false, "text": "30m", "value": "30m" }, { "selected": false, "text": "1h", "value": "1h" }, { "selected": false, "text": "6h", "value": "6h" }, { "selected": false, "text": "12h", "value": "12h" }, { "selected": false, "text": "1d", "value": "1d" }, { "selected": false, "text": "7d", "value": "7d" }, { "selected": false, "text": "14d", "value": "14d" }, { "selected": false, "text": "30d", "value": "30d" } ], "query": "1m,10m,30m,1h,6h,12h,1d,7d,14d,30d", "refresh": 2, "skipUrlSync": false, "type": "interval" }, { "allFormat": "glob", "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "definition": "", "hide": 0, "includeAll": false, "label": "环境", "multi": false, "multiFormat": "regex values", "name": "env", "options": [], "query": "label_values(node_exporter_build_info,env)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 1, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allFormat": "glob", "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "definition": "", "hide": 0, "includeAll": false, "label": "主机名", "multi": false, "multiFormat": "regex values", "name": "name", "options": [], "query": "label_values(node_exporter_build_info{env='$env'},name)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 1, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allFormat": "glob", "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "definition": "", "hide": 0, "includeAll": false, "label": "节点", "multi": false, "multiFormat": "regex values", "name": "node", "options": [], "query": "label_values(node_exporter_build_info{name='$name'},instance)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 1, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "definition": "", "hide": 2, "includeAll": false, "label": "", "multi": false, "name": "maxmount", "options": [], "query": "query_result(topk(1,sort_desc (max(node_filesystem_size_bytes{instance=~'$node',fstype=~"ext4|xfs"}) by (mountpoint))))", "refresh": 1, "regex": "/.*\"(.*)\".*/", "skipUrlSync": false, "sort": 0, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false } ] }, "time": { "from": "now-5m", "to": "now" }, "timepicker": { "now": true, "refresh_intervals": [ "5s", "10s", "30s", "1m", "5m", "15m", "30m", "1h", "2h", "1d" ], "time_options": [ "5m", "15m", "1h", "6h", "12h", "24h", "2d", "7d", "30d" ] }, "timezone": "browser", "title": "1 Node Exporter 0.16 0.17 for Prometheus 监控展示看板", "uid": "9CWBz0bik", "version": 11 }
导入docker_rev1.json监控模板，步骤和上面导入node_exporter.json步骤一样，导入之后显示如下：
扩展：如果Grafana导入Prometheusz之后，发现仪表盘没有数据，如何排查？
1、打开grafana界面，找到仪表盘对应无数据的图标
Edit之后出现如下：
node_cpu_seconds_total 就是grafana上采集的cpu的时间，需要到prometheus ui界面看看采集的指标是否是node_cpu_seconds_total
如果在prometheus ui界面输入node_cpu_seconds_total没有数据，那就看看是不是prometheus采集的数据是node_cpu_seconds_totals，怎么看呢？
###grafana展示的数据promQL调用的prometheus，可自己写。显示的名称可参照prometheus多维标签查询结果自定义。