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基于prometheus官方插件node_exporter修改,全go语言开发,性能卓越。 可同时支持aliyun 阿里云 rds数据库的机器层面信息数据采集和ECS机器信息采集,并结合proemtheus对rds进行机器层面监控。 只监控rds时,可支持1对多的监控, 使运维成本大幅降低。

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写在前面

有很多小公司目前都使用了阿里云aliyun的rds数据库, 但是对于rds的监控基本上都是使用的阿里云的云监控系统, 没有自己的监控插件。 为了解决阿里云锁死小公司监控技术的问题,本人基于流行的Prometheus监控系统,在其 监控插件源代码的起初上进行了修改。这个开源node_exporter 的开源项目是其中之一,旨在解决rds机器层面的数据 采集问题, 调用aliyun的API, 实现一个exporter监控多个rds的功能。 本项目和本人另外一个开源项目mysqld_exporter 都是基于官方prometheus 插件直接修改,基于go语言, 稳定性和性能都可以保障,大家可以放心使用!

Node exporter

CircleCI Buildkite status Docker Repository on Quay Docker Pulls Go Report Card

Prometheus exporter for hardware and OS metrics exposed by *NIX kernels, written in Go with pluggable metric collectors.

The WMI exporter is recommended for Windows users. To expose NVIDIA GPU metrics, prometheus-dcgm can be used.

Collectors

There is varying support for collectors on each operating system. The tables below list all existing collectors and the supported systems.

Collectors are enabled by providing a --collector.<name> flag. Collectors that are enabled by default can be disabled by providing a --no-collector.<name> flag.

Enabled by default

Name Description OS
arp Exposes ARP statistics from /proc/net/arp. Linux
bcache Exposes bcache statistics from /sys/fs/bcache/. Linux
bonding Exposes the number of configured and active slaves of Linux bonding interfaces. Linux
boottime Exposes system boot time derived from the kern.boottime sysctl. Darwin, Dragonfly, FreeBSD, NetBSD, OpenBSD, Solaris
conntrack Shows conntrack statistics (does nothing if no /proc/sys/net/netfilter/ present). Linux
cpu Exposes CPU statistics Darwin, Dragonfly, FreeBSD, Linux, Solaris
cpufreq Exposes CPU frequency statistics Linux, Solaris
diskstats Exposes disk I/O statistics. Darwin, Linux, OpenBSD
edac Exposes error detection and correction statistics. Linux
entropy Exposes available entropy. Linux
exec Exposes execution statistics. Dragonfly, FreeBSD
filefd Exposes file descriptor statistics from /proc/sys/fs/file-nr. Linux
filesystem Exposes filesystem statistics, such as disk space used. Darwin, Dragonfly, FreeBSD, Linux, OpenBSD
hwmon Expose hardware monitoring and sensor data from /sys/class/hwmon/. Linux
infiniband Exposes network statistics specific to InfiniBand and Intel OmniPath configurations. Linux
ipvs Exposes IPVS status from /proc/net/ip_vs and stats from /proc/net/ip_vs_stats. Linux
loadavg Exposes load average. Darwin, Dragonfly, FreeBSD, Linux, NetBSD, OpenBSD, Solaris
mdadm Exposes statistics about devices in /proc/mdstat (does nothing if no /proc/mdstat present). Linux
meminfo Exposes memory statistics. Darwin, Dragonfly, FreeBSD, Linux, OpenBSD
netclass Exposes network interface info from /sys/class/net/ Linux
netdev Exposes network interface statistics such as bytes transferred. Darwin, Dragonfly, FreeBSD, Linux, OpenBSD
netstat Exposes network statistics from /proc/net/netstat. This is the same information as netstat -s. Linux
nfs Exposes NFS client statistics from /proc/net/rpc/nfs. This is the same information as nfsstat -c. Linux
nfsd Exposes NFS kernel server statistics from /proc/net/rpc/nfsd. This is the same information as nfsstat -s. Linux
pressure Exposes pressure stall statistics from /proc/pressure/. Linux (kernel 4.20+ and/or CONFIG_PSI)
sockstat Exposes various statistics from /proc/net/sockstat. Linux
stat Exposes various statistics from /proc/stat. This includes boot time, forks and interrupts. Linux
textfile Exposes statistics read from local disk. The --collector.textfile.directory flag must be set. any
time Exposes the current system time. any
timex Exposes selected adjtimex(2) system call stats. Linux
uname Exposes system information as provided by the uname system call. FreeBSD, Linux
vmstat Exposes statistics from /proc/vmstat. Linux
xfs Exposes XFS runtime statistics. Linux (kernel 4.4+)
zfs Exposes ZFS performance statistics. Linux, Solaris
cpuRds Exposes Rds cpu info runtime statistics. 阿里云API
diskRdsStats Exposes Rds disk info runtime statistics. 阿里云API
meminfoRds Exposes Rds memory info runtime statistics. 阿里云API
iopsRds Exposes Rds iops info runtime statistics. 阿里云API

Disabled by default

The perf collector may not work by default on all Linux systems due to kernel configuration and security settings. To allow access, set the following sysctl parameter:

sysctl -w kernel.perf_event_paranoid=X
  • 2 allow only user-space measurements (default since Linux 4.6).
  • 1 allow both kernel and user measurements (default before Linux 4.6).
  • 0 allow access to CPU-specific data but not raw tracepoint samples.
  • -1 no restrictions.

Depending on the configured value different metrics will be available, for most cases 0 will provide the most complete set. For more information see man 2 perf_event_open.

Name Description OS
buddyinfo Exposes statistics of memory fragments as reported by /proc/buddyinfo. Linux
devstat Exposes device statistics Dragonfly, FreeBSD
drbd Exposes Distributed Replicated Block Device statistics (to version 8.4) Linux
interrupts Exposes detailed interrupts statistics. Linux, OpenBSD
ksmd Exposes kernel and system statistics from /sys/kernel/mm/ksm. Linux
logind Exposes session counts from logind. Linux
meminfo_numa Exposes memory statistics from /proc/meminfo_numa. Linux
mountstats Exposes filesystem statistics from /proc/self/mountstats. Exposes detailed NFS client statistics. Linux
ntp Exposes local NTP daemon health to check time any
processes Exposes aggregate process statistics from /proc. Linux
qdisc Exposes queuing discipline statistics Linux
runit Exposes service status from runit. any
supervisord Exposes service status from supervisord. any
systemd Exposes service and system status from systemd. Linux
tcpstat Exposes TCP connection status information from /proc/net/tcp and /proc/net/tcp6. (Warning: the current version has potential performance issues in high load situations.) Linux
wifi Exposes WiFi device and station statistics. Linux
perf Exposes perf based metrics (Warning: Metrics are dependent on kernel configuration and settings). Linux

Textfile Collector

The textfile collector is similar to the Pushgateway, in that it allows exporting of statistics from batch jobs. It can also be used to export static metrics, such as what role a machine has. The Pushgateway should be used for service-level metrics. The textfile module is for metrics that are tied to a machine.

To use it, set the --collector.textfile.directory flag on the Node exporter. The collector will parse all files in that directory matching the glob *.prom using the text format. Note: Timestamps are not supported.

To atomically push completion time for a cron job:

echo my_batch_job_completion_time $(date +%s) > /path/to/directory/my_batch_job.prom.$$
mv /path/to/directory/my_batch_job.prom.$$ /path/to/directory/my_batch_job.prom

To statically set roles for a machine using labels:

echo 'role{role="application_server"} 1' > /path/to/directory/role.prom.$$
mv /path/to/directory/role.prom.$$ /path/to/directory/role.prom

Filtering enabled collectors

The node_exporter will expose all metrics from enabled collectors by default. This is the recommended way to collect metrics to avoid errors when comparing metrics of different families.

For advanced use the node_exporter can be passed an optional list of collectors to filter metrics. The collect[] parameter may be used multiple times. In Prometheus configuration you can use this syntax under the scrape config.

  params:
    collect[]:
      - foo
      - bar

This can be useful for having different Prometheus servers collect specific metrics from nodes.

Building and running

Prerequisites:

Building:

go get github.com/prometheus/node_exporter
cd ${GOPATH-$HOME/go}/src/github.com/prometheus/node_exporter
make
./node_exporter <flags>

To see all available configuration flags:

./node_exporter -h

Running tests

make test

Using Docker

The node_exporter is designed to monitor the host system. It's not recommended to deploy it as a Docker container because it requires access to the host system. Be aware that any non-root mount points you want to monitor will need to be bind-mounted into the container. If you start container for host monitoring, specify path.rootfs argument. This argument must match path in bind-mount of host root. The node_exporter will use path.rootfs as prefix to access host filesystem.

docker run -d \
  --net="host" \
  --pid="host" \
  -v "/:/host:ro,rslave" \
  quay.io/prometheus/node-exporter \
  --path.rootfs /host

On some systems, the timex collector requires an additional Docker flag, --cap-add=SYS_TIME, in order to access the required syscalls.

Using a third-party repository for RHEL/CentOS/Fedora

There is a community-supplied COPR repository which closely follows upstream releases.

Example config for node_exporter work with prometheus(v2.5)

由于涉及到阿里云的api授权,需要提供accessKeyId和 accessSecret,所以本项目不提供二进制文件,大家将 rds_common 里的配置

const (
	regionId        = "cn-hangzhou"
	accessKeyId     = "accessKeyId"
	accessKeySecret = "accessKeySecret"
)

修改好后,自己进行编译即可。

Prometheus配置:

  - job_name: db-mysql-node 
    scrape_interval: 30s
    params:
        "collect[]": ["cpuRds", "meminfoRds", "diskRdsStats", "iopsRds"]

    consul_sd_configs:
      - server: 'consul-address'
        services: ["db-mysql"]
        tag: "hz-ali"
        tag_separator: "|"

    relabel_configs:

      - source_labels: [__meta_consul_service_id]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: exporter-address:9100

node_exporter配置:

./node_exporter \
--no-collector.arp \
--no-collector.bcache \
--no-collector.bonding \
--no-collector.conntrack \
--collector.cpu \
--collector.cpuRds \
--no-collector.cpufreq \
--collector.diskstats \
--no-collector.edac \
--no-collector.entropy \
--no-collector.filefd \
--no-collector.filesystem \
--no-collector.hwmon \
--no-collector.infiniband \
--no-collector.ipvs \
--no-collector.loadavg \
--no-collector.mdadm \
--collector.meminfo \
--collector.meminfoRds \
--no-collector.netclass \
--no-collector.netdev \
--no-collector.netstat \
--no-collector.nfs \
--no-collector.nfsd \
--no-collector.pressure \
--no-collector.sockstat \
--no-collector.stat \
--no-collector.textfile \
--no-collector.time \
--no-collector.timex \
--no-collector.uname \
--no-collector.vmstat \
--no-collector.xfs \
--no-collector.zfs \
--collector.iopsRds \
--web.max-requests=0 \
--log.level="info"

更多详细内容,参考本人的相关文档: 简书:rds数据库本地化改造
点我达博客:rds数据库本地化改造
微信公众号:rds数据库本地化改造

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基于prometheus官方插件node_exporter修改,全go语言开发,性能卓越。 可同时支持aliyun 阿里云 rds数据库的机器层面信息数据采集和ECS机器信息采集,并结合proemtheus对rds进行机器层面监控。 只监控rds时,可支持1对多的监控, 使运维成本大幅降低。

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