Kapacitor时间序列数据监控框架
Kapacitor 是一个开源框架,用来处理、监控和警告时间序列数据。Kapacitor 使用 TICKscript 脚本来定义任务,示例代码:
stream .from().measurement('cpu_usage_idle') .groupBy('host') .window() .period(1m) .every(1m) .mapReduce(influxql.mean('value')) .eval(lambda: 100.0 - "mean") .as('used') .alert() .message('{{ .Level}}: {{ .Name }}/{{ index .Tags "host" }} has high cpu usage: {{ index .Fields "used" }}') .warn(lambda: "used" > 70.0) .crit(lambda: "used" > 85.0) // Send alert to hander of choice. // Slack .slack() .channel('#alerts') // VictorOps .victorOps() .routingKey('team_rocket') // PagerDuty .pagerDuty()
执行方法:
# Define the task (assumes cpu data is in db 'telegraf')kapacitor define \ -name cpu_alert \ -type stream \ -dbrp telegraf.default \ -tick ./cpu_alert.tick# Start the taskkapacitor enable cpu_alert
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