Scrape Prometheus metrics

Use Telegraf

or the prometheus.scrape Flux function to scrape Prometheus-formatted metrics from an HTTP-accessible endpoint and store them in InfluxDB.

• Use Telegraf
• Use prometheus.scrape()

Use Telegraf

To use Telegraf to scrape Prometheus-formatted metrics from an HTTP-accessible endpoint and write them to InfluxDB Cloud , follow these steps:

1. Add the Prometheus input plugin to your Telegraf configuration file.
   1. Set the urls to scrape metrics from.
   2. Set the metric_version configuration option to specify which metric parsing version to use (version 2 is recommended).
2. Add the InfluxDB v2 output plugin to your Telegraf configuration file and configure it to write to InfluxDB Cloud .

Example telegraf.conf

# ...

## Collect Prometheus formatted metrics
[[inputs.prometheus]]
  urls = ["http://example.com/metrics"]
  metric_version = 2

## Write Prometheus formatted metrics to InfluxDB
[[outputs.influxdb_v2]]
  urls = ["http://localhost:8086"]
  token = "$INFLUX_TOKEN"
  organization = "example-org"
  bucket = "example-bucket"

# ...

Use prometheus.scrape()

To use the prometheus.scrape() Flux function to scrape Prometheus-formatted metrics from an HTTP-accessible endpoint and write them to InfluxDB Cloud , do the following in your Flux script:

1. Import the experimental/prometheus package.
2. Use prometheus.scrape() and provide the URL to scrape metrics from.
3. Use to() and specify the InfluxDB Cloud bucket to write the scraped metrics to.

Example Flux script

import "experimental/prometheus"

prometheus.scrape(url: "http://example.com/metrics")
    |> to(bucket: "example-bucket")

4. (Optional) To scrape Prometheus metrics at regular intervals using Flux, add your Flux scraping script as an InfluxDB task.

For information about scraping Prometheus-formatted metrics with prometheus.scrape(), see Scrape Prometheus metrics with Flux.