Heapster介绍
1. heapster简介
Heapster是容器集群监控和性能分析工具，天然的支持Kubernetes和CoreOS。 Kubernetes有个出名的监控agent—cAdvisor。在每个kubernetes Node上都会运行cAdvisor，它会收集本机以及容器的监控数据(cpu,memory,filesystem,network,uptime)。
2. heapster部署与配置
2.1. 注意事项
需同步部署机器和被采集机器的时间：ntpdate time.windows.com
加入定时任务，定期同步时间
crontab –e
30 5 * * * /usr/sbin/ntpdate time.windows.com //每天早晨5点半执行
2.2. 容器式部署
2.3. 配置说明
2.3.1. –source
–source: 指定数据获取源。这里指定kube-apiserver即可。 后缀参数： inClusterConfig: kubeletPort: 指定kubelet的使用端口，默认10255 kubeletHttps: 是否使用https去连接kubelets(默认：false) apiVersion: 指定K8S的apiversion insecure: 是否使用安全证书(默认：false) auth: 安全认证 useServiceAccount: 是否使用K8S的安全令牌
2.3.2. –sink
–sink: 指定后端数据存储。这里指定influxdb数据库。 后缀参数： user: InfluxDB用户 pw: InfluxDB密码 db: 数据库名 secure: 安全连接到InfluxDB(默认：false) withfields： 使用InfluxDB fields(默认：false)。
3. Metrics
cpu
cpu/limit
CPU hard limit in millicores.
CPU上限
cpu/node_capacity
Cpu capacity of a node.
Node节点的CPU容量
cpu/node_allocatable
Cpu allocatable of a node.
Node节点可分配的CPU
cpu/node_reservation
Share of cpu that is reserved on the node allocatable.
cpu/node_utilization
CPU utilization as a share of node allocatable.
cpu/request
CPU request (the guaranteed amount of resources) in millicores.
cpu/usage
Cumulative CPU usage on all cores.
CPU总使用量
cpu/usage_rate
CPU usage on all cores in millicores.
filesystem
filesystem/usage
Total number of bytes consumed on a filesystem.
文件系统的使用量
filesystem/limit
The total size of filesystem in bytes.
文件系统的使用上限
filesystem/available
The number of available bytes remaining in a the filesystem
可用的文件系统容量
filesystem/inodes
The number of available inodes in a the filesystem
filesystem/inodes_free
The number of free inodes remaining in a the filesystem
memory
memory/limit
Memory hard limit in bytes.
内存上限
memory/major_page_faults
Number of major page faults.
memory/major_page_faults_rate
Number of major page faults per second.
memory/node_capacity
Memory capacity of a node.
memory/node_allocatable
Memory allocatable of a node.
memory/node_reservation
Share of memory that is reserved on the node allocatable.
memory/node_utilization
Memory utilization as a share of memory allocatable.
memory/page_faults
Number of page faults.
memory/page_faults_rate
Number of page faults per second.
memory/request
Memory request (the guaranteed amount of resources) in bytes.
memory/usage
Total memory usage.
memory/cache
Cache memory usage.
memory/rss
RSS memory usage.
memory/working_set
Total working set usage. Working set is the memory being used and not easily dropped by the kernel.
network
network/rx
Cumulative number of bytes received over the network.
network/rx_errors
Cumulative number of errors while receiving over the network.
network/rx_errors_rate
Number of errors while receiving over the network per second.
network/rx_rate
Number of bytes received over the network per second.
network/tx
Cumulative number of bytes sent over the network
network/tx_errors
Cumulative number of errors while sending over the network
network/tx_errors_rate
Number of errors while sending over the network
network/tx_rate
Number of bytes sent over the network per second.
uptime
Number of milliseconds since the container was started.
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4. Labels
pod_id
Unique ID of a Pod
pod_name
User-provided name of a Pod
pod_namespace
The namespace of a Pod
container_base_image
Base image for the container
container_name
User-provided name of the container or full cgroup name for system containers
host_id
Cloud-provider specified or user specified Identifier of a node
hostname
Hostname where the container ran
labels
Comma-separated(Default) list of user-provided labels. Format is 'key:value'
namespace_id
UID of the namespace of a Pod
resource_id
A unique identifier used to differentiate multiple metrics of the same type. e.x. Fs partitions under filesystem/usage
5. heapster API
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