downdetector-exporter

command module
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Published: Nov 5, 2023 License: MIT Imports: 18 Imported by: 0

README

Downdetector Exporter

Usage

Help message
./downdetector-exporter --help
Incorrect Usage. flag: help requested


  NAME:
     downdetector-exporter - report metrics of downdetector api

  USAGE:
     downdetector-exporter [global options]

  AUTHOR:
     Torben Frey <torben@torben.dev>

  GLOBAL OPTIONS:
     --company_ids value, -i value       comma separated list of company ids to monitor [$COMPANY_IDS]
     --credentials_file value, -c value  file containing credentials for downdetector. Credentials file is in YAML format and contains two fields, username and password. Alternatively give username and password, they win over credentials file. [$CREDENTIALS_FILE]
     --username value, -u value          username, wins over credentials file [$DD_USERNAME]
     --password value, -p value          password, wins over credentials file [$DD_PASSWORD]
     --listen_address value, -l value    [optional] address to listen on, either :port or address:port (default: ":9313") [$LISTEN_ADDRESS]
     --metrics_path value, -m value      [optional] URL path where metrics are exposed (default: "/metrics") [$METRICS_PATH]
     --log_level value, -v value         [optional] log level, choose from DEBUG, INFO, WARN, ERROR (default: "ERROR") [$LOG_LEVEL]
     --search_string value, -s value     [optional] search for companies containing this text and return their IDs

  level=error msg="flag: help requested"
Prerequisites

Either provide a credentials file using the --credentials_file parameter. The file needs to be in YAML format like this:

---
username: adjshkajsdhakjsd
password: djhfksjdfhksjfhksjdhf

Alternatively you can provide username and password parameters, they will win over the credentials file.

How to execute

There are two modes - either you already know your company's IDs, then provide them in a comma separated list:

downdetector-exporter -c downdetector-credentials.yaml -i 23456,12345,34567

This will startup the exporter in production mode. Check on port 9313.

The other mode is if you not yet know IDs of your company. In this case just pass a search_string parameter which will be searched for case insensitively:

downdetector-exporter -c downdetector-credentials.yaml -s microsoft

This will render a list of IDs you can chose yours from:

ID: 37466 - Name: Microsoft Azure, Slug: windows-azure, Country: MX
ID: 37467 - Name: Microsoft Azure, Slug: windows-azure, Country: AR
ID: 38018 - Name: Microsoft Teams, Slug: teams, Country: US
ID: 38184 - Name: Microsoft Teams, Slug: teams, Country: GB
ID: 38185 - Name: Microsoft Teams, Slug: teams, Country: DE
ID: 38186 - Name: Microsoft Teams, Slug: teams, Country: NL
ID: 38187 - Name: Microsoft VLSC, Slug: vlsc, Country: US
ID: 38694 - Name: Microsoft Teams, Slug: teams, Country: AU
ID: 39143 - Name: Microsoft Azure, Slug: windows-azure, Country: NZ
ID: 39144 - Name: Microsoft Teams, Slug: teams, Country: NZ
ID: 39145 - Name: Microsoft Teams, Slug: teams, Country: JP
ID: 39146 - Name: Microsoft Teams, Slug: teams, Country: CA
ID: 39302 - Name: Microsoft Teams, Slug: teams, Country: SE
ID: 39317 - Name: Microsoft Azure, Slug: windows-azure, Country: SE
ID: 39318 - Name: Microsoft Azure, Slug: windows-azure, Country: FI
Systemd notifications

The exporter will send readyness and alive messages to systemd. Systemd will restart the exporter once these alive messages stop if you provide a unit file such as

[Unit]
Description=Prometheus Downdetector Exporter
After=network.target
AssertPathExists=/home/username/go/bin

[Service]
Type=notify
ExecStart=/home/username/go/bin/downdetector-exporter -c downdetector-credentials.yaml -i 23456,12345,34567
User=username
WatchdogSec=180s
Restart=on-failure

[Install]
WantedBy=multi-user.target
Configure via environment variables

To make the system more compatible with docker and kubernetes, all parameters (except the search string) can be set via environment variables:

COMPANY_IDS
CREDENTIALS_FILE
DD_USERNAME
DD_PASSWORD
LISTEN_ADDRESS
METRICS_PATH
LOG_LEVEL
Running in Docker Compose

Example of running in docker compose using some the above variables

services:
  downdetector-exporter:
    container_name: downdetector-exporter
    image: ghcr.io/kic68/downdetector-exporter
    restart: always
    environment:
      - COMPANY_IDS=23456,12345,34567
      - DD_USERNAME=client-id
      - DD_PASSWORD=secret-token
Running in Kubernetes

Example of running in kubernetes:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: downdetector-exporter
spec:
  replicas: 1
  strategy: {}
  template:
    spec:
      containers:
        - env:
            - name: COMPANY_IDS
              value: "23456,12345,34567"
            - name: DD_USERNAME
              value: client-id
            - name: DD_PASSWORD
              value: secret-token
          image: ghcr.io/kic68/downdetector-exporter
          name: downdetector-exporter
          resources: {}
      restartPolicy: Always
status: {}
Grafana dashboard

There's a grafana_dashboard.json file in the repository which can be imported to Grafana.

Documentation

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