FastDFS

Collect Metrics data from FastDFS

Installation and Configuration¶

Prerequisites¶

• Install DataKit
• Python >= 3.10
• Gunicorn = 23.0.0
• Flask = 3.1.0
• Prometheus_client = 0.21.1

Download fastdfs-exporter¶

• fastdfs-exporter is an officially developed Exporter that converts FastDFS status into Prometheus Metrics format:

wget https://github.com/maxpasserby/fastdfs-exporter/archive/refs/tags/0.1.1.tar.gz

• Move the exporter directory to the /etc directory, and execute the following command to run exporter.main

python3 -u -m exporter.main

• Configure Exporter to run in the background

nohup /usr/bin/python3.6 -u -m exporter.main &

• After starting, you can access the Metrics via 127.0.0.1:9036/metrics

DataKit Collector Configuration¶

Since FastDFS can directly expose Metrics url through JMX Exporter, it can be collected directly via the prom collector.

Go to conf.d/samples under the DataKit installation directory, and execute the following command:

cp prom.conf.sample prom-fastdfs.conf.conf

Adjust the content of prom-fastdfs.conf, mainly adjusting urls, as follows:

[[inputs.prom]]
  ## Exporter URLs.
  urls = ["http://127.0.0.1:9036/metrics"]

  ## Stream Size. 
  ## The source stream segmentation size, (defaults to 1).
  ## 0 source stream undivided. 
  # stream_size = 1

  ## Unix Domain Socket URL. Using socket to request data when not empty.
  uds_path = ""

  ## Ignore URL request errors.
  ignore_req_err = false

  ## Collector alias.
  source = "fastdfs"

Adjust other configurations as needed, parameter adjustment instructions:

• urls: Prometheus Metrics address, fill in the Metrics url exposed by the corresponding component here
• source: Collector alias, it is recommended to distinguish
• interval: Collection interval

Restart Datakit¶

Datakit service -R

Metrics¶