enebular INFOMOTIONでサーバ監視（リソース監視）

概要

Node-REDのノードでnode-red-contrib-osというものがあります。これを使えばサーバの基本情報を取得したり、CPU/メモリ/ディスクといったリソースを監視したりすることができます。

とりあえずenebular Flowで試してみる

Flowは以下です。

[{"id":"67b92c01.7430ec","type":"milkcocoa","z":"fe18e088.694ba","appId":"＜あなたのMilkcocoa App ID＞"},{"id":"f7925704.7ab208","type":"CPUs","z":"fe18e088.694ba","name":"","x":98.5,"y":209,"wires":[["ba663891.29ea08"]]},{"id":"f7de6c38.ea8e5","type":"Loadavg","z":"fe18e088.694ba","name":"","x":104.5,"y":158,"wires":[["8e77d6b9.27c198"]]},{"id":"7e475bd9.4655dc","type":"Memory","z":"fe18e088.694ba","name":"","x":271.5,"y":57,"wires":[["c5b91d21.456ea"]]},{"id":"25c96c09.14060c","type":"inject","z":"fe18e088.694ba","name":"","topic":"","payload":"","payloadType":"date","repeat":"60","crontab":"","once":false,"x":100.5,"y":44.5,"wires":[["7e475bd9.4655dc","2137a046.a2371","f7de6c38.ea8e5","f7925704.7ab208"]]},{"id":"89f73b88.486e48","type":"milkcocoa out","z":"fe18e088.694ba","milkcocoa":"67b92c01.7430ec","dataStore":"server1/loadavg","operation":"push","targetId":"","name":"","x":446.5,"y":158,"wires":[["a9e9f392.0fa768"]]},{"id":"a9e9f392.0fa768","type":"debug","z":"fe18e088.694ba","name":"","active":true,"console":"false","complete":"false","x":544.5,"y":273,"wires":[]},{"id":"2137a046.a2371","type":"Drives","z":"fe18e088.694ba","name":"","x":113.5,"y":107,"wires":[["eef9a751.5d3b6"]]},{"id":"8e77d6b9.27c198","type":"change","z":"fe18e088.694ba","name":"","rules":[{"t":"set","p":"payload.loadavg1","pt":"msg","to":"payload.loadavg.0","tot":"msg"},{"t":"set","p":"payload.loadavg5","pt":"msg","to":"payload.loadavg.1","tot":"msg"},{"t":"set","p":"payload.loadavg15","pt":"msg","to":"payload.loadavg.2","tot":"msg"},{"t":"delete","p":"payload.loadavg","pt":"msg"}],"action":"","property":"","from":"","to":"","reg":false,"x":271.5,"y":157.5,"wires":[["89f73b88.486e48"]]},{"id":"ba663891.29ea08","type":"change","z":"fe18e088.694ba","name":"","rules":[{"t":"set","p":"payload","pt":"msg","to":"payload.cpus.0","tot":"msg"},{"t":"set","p":"payload.user","pt":"msg","to":"payload.times.user","tot":"msg"},{"t":"set","p":"payload.nice","pt":"msg","to":"payload.times.nice","tot":"msg"},{"t":"set","p":"payload.sys","pt":"msg","to":"payload.times.sys","tot":"msg"},{"t":"set","p":"payload.idle","pt":"msg","to":"payload.times.idle","tot":"msg"},{"t":"set","p":"payload.irq","pt":"msg","to":"payload.times.irq","tot":"msg"},{"t":"delete","p":"payload.times","pt":"msg"}],"action":"","property":"","from":"","to":"","reg":false,"x":273,"y":210,"wires":[["bb10b0e8.ecd9b8"]]},{"id":"bb10b0e8.ecd9b8","type":"milkcocoa out","z":"fe18e088.694ba","milkcocoa":"67b92c01.7430ec","dataStore":"server1/cpus","operation":"push","targetId":"","name":"","x":449,"y":208,"wires":[["a9e9f392.0fa768"]]},{"id":"5c1e076.78c99f8","type":"milkcocoa out","z":"fe18e088.694ba","milkcocoa":"67b92c01.7430ec","dataStore":"server1/drives","operation":"push","targetId":"","name":"","x":447,"y":107,"wires":[["a9e9f392.0fa768"]]},{"id":"c5b91d21.456ea","type":"milkcocoa out","z":"fe18e088.694ba","milkcocoa":"67b92c01.7430ec","dataStore":"server1/memory","operation":"push","targetId":"","name":"","x":449,"y":58,"wires":[["a9e9f392.0fa768"]]},{"id":"eef9a751.5d3b6","type":"change","z":"fe18e088.694ba","name":"","rules":[{"t":"set","p":"payload","pt":"msg","to":"payload.0","tot":"msg"}],"action":"","property":"","from":"","to":"","reg":false,"x":269,"y":105,"wires":[["5c1e076.78c99f8"]]}]

CPU、メモリ、ディスク、Load Averageといった情報を1分間隔で取得して多少データ加工をしてからMilkcocoaへ投入しています。とりあえず試すためにCPUとディスクは取得できる配列の最初の要素のデータだけ投入しています。

今回はMilkcocoaのデータストアを以下のように各メトリクス毎に用意しました。

メトリクス	データストア
Load Average	server1/loadavg
CPU	server1/cpus
ディスク	server1/drives
メモリ	server1/memory

Milkcocoaのデータストアの詳細についてはドキュメントを参照します。

enebular INFOMOTIONで可視化

あとはenebular INFOMOTIONの設定をします。データソースの設定やINFOMOTIONの作成の詳細は各リンク先のドキュメントを参照します。

Load Average

データソース設定

INFOMOTION設定

項目	設定する値
TYPE	metricsgraphics
DATASOURCE	server1/loadavg
rows y_accessor	loadavg1
rows y_accessor	loadavg5
rows y_accessor	loadavg15
legend name	1分
legend name	5分
legend name	15分
limit	20

完成

CPU

データソース設定

INFOMOTION設定

項目	設定する値
TYPE	metricsgraphics
DATASOURCE	server1/cpus
rows y_accessor	user
rows y_accessor	nice
rows y_accessor	sys
rows y_accessor	irq
rows y_accessor	idle
legend name	user
legend name	nice
legend name	sys
legend name	irq
legend name	idle
limit	20

完成

ディスク

データソース設定

INFOMOTION設定

項目	設定する値
TYPE	metricsgraphics
DATASOURCE	server1/drives
rows y_accessor	size
rows y_accessor	used
rows y_accessor	available
legend name	size
legend name	used
legend name	available
limit	20

完成

メモリ

データソース設定

INFOMOTION設定

項目	設定する値
TYPE	metricsgraphics
DATASOURCE	server1/memory
rows y_accessor	totalmem
rows y_accessor	freemem
rows y_accessor	memusage
legend name	totalmem
legend name	freemem
legend name	memusage
limit	20

完成

おまけ

ここまでやったらディスクI/OとネットワークI/Oも取得したいですが、環境によってコマンドが異なるようなメトリクスを取得する場合はnode-red-node-daemonを使って定期的に取得する方法が良さそうです。

こちらはまたの機会に。