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Kubernetes & Docker监控之最后一章，前三篇如下：
1、kubernetes+docker监控之简介
2、 kubernetes+docker监控之Docker监控——cadvisor
3、 Docker监控——Cadvisor+InfluxDB+Grafana搭建过程
1）、heapster下载和启动：
（1）、heapster镜像下载：
| docker pull index.tenxcloud.com/google_containers/heapster:v1.1.0 |
（2）、heapster单独作为容器启动：
| docker run -d index.tenxcloud.com/google_containers/heapster:v1.1.0 "--source=kubernetes:http://192.168.16.100:8080?inClusterConfig=false&kubeletHttps=true&kubeletPort=10250&useServiceAccount=true&auth=" "--sink=influxdb:http://192.168.16.234:8086" |
参数说明：
| --source ：指定kube-apiserver，这里使用https，需要注意下 --sink ：指定influxdb，heapster自动创建数据库【k8s】 inClusterConfig ：Use kube config in service accounts associated with heapster's namesapce. (default: true) kubeletPort ：kubelet port to use (default: 10255) kubeletHttps ： whether to use https to connect to kubelets (default: false) apiVersion ： API version to use to talk to Kubernetes. Defaults to the version in kubeConfig. insecure ：whether to trust kubernetes certificates (default: false) auth ：client auth file to use. Set auth if the service accounts are not usable. useServiceAccount ：whether to use the service account token if one is mounted at /var/run/secrets/kubernetes.io/serviceaccount/token (default: false) |
heapster容器，启动过程：
| [root@localhost kube-1.2]# docker run -d index.tenxcloud.com/google_containers/heapster:v1.1.0 "--source=kubernetes:http://192.168.16.100:8080?inClusterConfig=false&kubeletHttps=true&kubeletPort=10250&useServiceAccount=true&auth=" "--sink=influxdb:http://192.168.16.234:8086" b86aaaaa88ccf648120611254bfeb0078a8b9dd853d4b5a2d6a0abb97743bf1d
[root@localhost kube-1.2]# docker logs b86aaaaa8 I0714 07:05:18.116787 1 heapster.go:65] /heapster --source=kubernetes:http://192.168.16.100:8080?inClusterConfig=false&kubeletHttps=true&kubeletPort=10250&useServiceAccount=true&auth= --sink=influxdb:http://192.168.16.234:8086 I0714 07:05:18.117158 1 heapster.go:66] Heapster version 1.1.0 I0714 07:05:18.239220 1 configs.go:60] Using Kubernetes client with master "http://192.168.16.100:8080" and version "v1" I0714 07:05:18.239270 1 configs.go:61] Using kubelet port 10250 I0714 07:05:31.255132 1 influxdb.go:223] created influxdb sink with options: host:192.168.16.234:8086 user:root db:k8s I0714 07:05:31.255170 1 heapster.go:92] Starting with InfluxDB Sink I0714 07:05:31.255177 1 heapster.go:92] Starting with Metric Sink I0714 07:05:31.271159 1 heapster.go:171] Starting heapster on port 8082 I0714 07:06:05.000403 1 manager.go:79] Scraping metrics start: 2016-07-14 07:05:00 +0000 UTC, end: 2016-07-14 07:06:00 +0000 UTC E0714 07:06:05.000504 1 kubelet.go:270] No nodes received from APIserver. I0714 07:06:05.000520 1 manager.go:152] ScrapeMetrics: time: 5.756µs size: 0 I0714 07:06:05.365486 1 influxdb.go:201] Created database "k8s" on influxDB server at "192.168.16.234:8086" [root@localhost kube-1.2]# [root@localhost kube-1.2]# docker ps |grep heapster b86aaaaa88cc index.tenxcloud.com/google_containers/heapster:v1.1.0 "/heapster --source=k" 2 minutes ago Up 2 minutes furious_mahavira [root@localhost kube-1.2]# |
看到influxdb已经有k8s的数据库和表了，剩下的就是grafana搜索和显示了
| [root@localhost kube-1.2]# influx Visit https://enterprise.influxdata.com to register for updates, InfluxDB server management, and monitoring. Connected to http://localhost:8086 version 0.9.6 InfluxDB shell 0.9.6 > > > show databases name: databases --------------- name _internal cadvisor k8s > > use k8s Using database k8s > > SHOW MEASUREMENTS name: measurements ------------------ name cpu/node_reservation cpu/node_utilization cpu/usage cpu/usage_rate filesystem/limit filesystem/usage memory/major_page_faults memory/major_page_faults_rate memory/node_reservation memory/node_utilization memory/page_faults memory/page_faults_rate memory/usage memory/working_set network/rx network/rx_errors network/rx_errors_rate network/rx_rate network/tx network/tx_errors network/tx_errors_rate network/tx_rate uptime |
2）、InfluxDB安装与配置：
请参考之前Cadvisor+InfluxDB+Grafana的内容，http://my.oschina.net/fufangchun/blog/718382
3）、Grafana安装与配置：
（1）、Grafana安装：
请参考之前Cadvisor+InfluxDB+Grafana的内容，http://my.oschina.net/fufangchun/blog/718382
（2）、Grafana配置：
Ⅰ、配置influxdb数据源：
Ⅱ、新建展示页：
展示页，用来区分不同的influxdb数据源
Ⅲ、新建数据项：
根据特定的条件（sql），从influxdb查询相关的数据，并展示。
Grafana会自动显示k8s库的字段，可以根据需求进行选择，每个where后面，加上：【pod_name =~ /^\.*/】，按照pod名称分类
| SELECT last(value) FROM k8s."default"."network/tx" WHERE pod_name =~ /^\.*/ AND time > now() - 30m GROUP BY time(10s), pod_name |
Ⅳ、完整的grafana展示：
这里上传可能看不清，可以去百度盘下载，我这里是有些数据是分别做了，按照pod和namespace进行分组的，有多租户的情况，比较实用，可以根据情况，自行定义。
百度盘地址： http://pan.baidu.com/s/1qXQIqPA
Kubernetes & Docker监控 ，至此完结，欢迎分享讨论！！！