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
To use Telegraf to scrape Prometheus-formatted metrics from an HTTP-accessible endpoint and write them to InfluxDB Cloud, follow these steps:
- Add the Prometheus input plugin to your Telegraf configuration file.
- Set the
urls
to scrape metrics from. - Set the
metric_version
configuration option to specify which metric parsing version to use (version2
is recommended).
- Set the
- 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 = ["https://127.0.0.1:8086"]
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:
- Import the
experimental/prometheus
package. - Use
prometheus.scrape()
and provide the URL to scrape metrics from. - 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")
- (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.
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