Time series: <identifier> (timestamp int64, value float64)
Label-based dimensional data model.
Как строить графики: набросать в prometheus.io, потому уже в Графану.
В файл пишем чанками по 1КБ (чтобы не писать дофига)
https://prometheus.io/docs/practices/instrumentation/ It is important to know which of the four main metric types to use for a given metric.
To pick between counter and gauge, there is a simple rule of thumb: if the value can go down, it is a gauge.
Counters can only go up (and reset, such as when a process restarts). They are useful for accumulating the number of events, or the amount of something at each event. For example, the total number of HTTP requests, or the total number of bytes sent in HTTP requests. Raw counters are rarely useful. Use the rate() function to get the per-second rate at which they are increasing.
Gauges can be set, go up, and go down. They are useful for snapshots of state, such as in-progress requests, free/total memory, or temperature. You should never take a rate() of a gauge.
xiaomi_api_response_time_count{method=”GET”,path=”/content/titleidlist”,status=”OK”,xiaomi_status=”0”, instance=”bmp-4:8088”}
xiaomi_api_response_time_count{method=”GET”,path=”/content/titleidlist”,status=”OK”,xiaomi_status=”0”, instance=”bmp-4:8088”}[50s]
{__name__=”xiaomi_api_response_time_count”, method=”GET”,path=”/content/titleidlist”,status=”OK”,xiaomi_status=”0”}
xiaomi_api_response_time_count{method=”GET”,path=”/content/titleidlist”,status=”OK”,xiaomi_status=”0”}
irate for grafana rate for alerting
It doesn’t make sense to give big interval to irate because it only uses last two data points
Prometheus как time series database / Тимур Нурутдинов (Lamoda) https://www.youtube.com/watch?v=5g6NAKzTKTs