Kubernetes & Docker监控之最后一章，前三篇如下：
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)[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
uptime2）、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。
