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Minimal server monitoring tool running in a container (docker, podman...)

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minimal-server-monitoring

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This tool lets you monitor a typical home server running applications in containers and receive alerts on your smartphone. It is designed to be light and simple (no database, no GUI, a single configuration file).

Features

  • run in a container (tested with both docker and podman)
  • send notifications to any supported services by shoutrrr
  • alert when a container is restarting forever
  • alert when a container isn't started
  • alert when a target is unreachable (ping)
  • alert when available disk space is low
  • alert when systemd service is failed
  • notify when a container image is updated (provide an alternative to watchtower if you are running podman with podman-auto-update)

Versioning and packaging

This tool follows semantic versioning.

Pre-built images are available on github packages:

  • ghcr.io/mcarbonne/minimal-server-monitoring:main (main branch)
  • ghcr.io/mcarbonne/minimal-server-monitoring:latest: latest tagged version
  • ghcr.io/mcarbonne/minimal-server-monitoring:x.x.x
  • ghcr.io/mcarbonne/minimal-server-monitoring:x.x
  • ghcr.io/mcarbonne/minimal-server-monitoring:x

For automatic updates (watchtower, podman-auto-update...), using the lastest major tag available (ghcr.io/mcarbonne/minimal-server-monitoring:2) is recommanded to avoid breaking changes.

Changelog

See here.

Minimal configuration

Default config.yml: container, services and available disk space monitoring, with shoutrrr alerts

docker run -e MACHINENAME=$(hostname) -e SHOUTRRR=XXXXXXX \
-v .../cache.json:/app/cache.json \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /run/systemd:/run/systemd:ro \
-v /:/host:ro \
--name minimal-server-monitoring -d ghcr.io/mcarbonne/minimal-server-monitoring:2

Custom config.yml

docker run \
-v .../config.yml:/app/config.yml:ro \
-v .../cache.json:/app/cache.json \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /run/systemd:/run/systemd:ro \
-v /:/host:ro \
--name minimal-server-monitoring -d ghcr.io/mcarbonne/minimal-server-monitoring:2
  • -v .../config.yml:/app/config.yml:ro: override default configuration file with your settings. Default configuration file is available here. Have a look at example_config.yml for an exhaustive lists of available parameters.
  • -v .../cache.json:/app/cache.json: persist the cache
  • -v /var/run/docker.sock:/var/run/docker.sock:ro: give access to the host docker daemon (required for container provider). Use /run/podman/podman.sock:/var/run/docker.sock:ro if you are using podman.
  • -v /run/systemd:/run/systemd:ro: give access to the host systemd (required for systemd provider)
  • -v /:/host:ro: required for filesystemusage to discover and monitor all mountpoints. Target in container must match mountprefix parameter (see here).

config.yml

key type required default value
notifiers map of notifiers yes -
cache string (path) yes -
alert.unhealthy_threshold uint no 1
alert.healthy_threshold uint no 1
scrapers map of scrapers yes -

notifier configuration

key type required default value
type enum (shoutrrr, console) yes -
params map, see below for details no {}

shoutrrr

key description required default value
url shoutrrr url yes -

console

  • no parameters
  • all notifications are logged on the standard output

scrapper configuration

key type required default value
type enum (systemd, container, filesystemusage, ping) yes -
scrape_interval duration (string with unit). See here for details. no 120s
params map, see below no {}

systemd

  • no parameters
  • only one instance allowed
  • states (for every services):
    • service active state (ActiveState != failed)

container

  • no parameters
  • only one instance allowed
  • messages (for every running containers):
    • when a container image is updated
  • states (for every running containers):
    • container status (check if started)
    • container restart (check if restarting forever)

filesystemusage

  • provide two states for each mountpoint (check if there is enough free disk space available and if there are rapid changes)
  • multiple instances allowed
parameter description required default value
mountprefix mountpoint prefix, when running inside a container no "" (empty string)
fstypes list of file system types to consider no [ext4, btrfs]
mountpoint_blacklist list of mountpoints to ignore no []
mountpoint_whitelist list of mountpoints to monitor. When set, fstypes and mountpoint_blacklist are ignored and autodiscovery is skipped no []
threshold minimum threshold of available disk space1 no 20%
rate_threshold rate threshold over rate_threshold_window period1,2 no 1g
rate_threshold_window window duration2 no 5m
  1. thresholds might either be relative (20%) or absolute (50m, 20gb ...). Absolute parsing is done using ParseBytes from go-humanize, supported prefix list is available here.
  2. rate threshold triggers an alert when remaining disk space changes by more than rate_threshold over rate_threshold_window (both increase and decrease). Note: rate_threshold_window must be greater than or equal to scrape_interval.

ping

  • provide one state per target (is target reachable)
  • multiple instances allowed
parameter description required default value
targets list of ip addresses/hostnames to ping yes -
retry_count how many times to retry if ping failed no 3

Example:

notifiers:
  notifier_1:
    type: console
  notifier_2:
    type: shoutrrr
    params:
      url: YOUR_SHOUTRRR_URL_HERE
cache: /tmp/cache.json
alert:
  unhealthy_threshold: 1
  healthy_threshold: 1
scrapers:
  docker:
    type: container
  systemd:
    type: systemd
  gateway:
    type: ping
    scrape_interval: 5s
    params:
      targets:
        - 192.168.0.1
  ethernet_available:
    type: ping
    scrape_interval: 2m
    params:
      targets:
        - 8.8.8.8
      retry_count: 3
  filesystemusage:
    type: filesystemusage
    params:
      mountpoints:
        - "/"
      threshold: 15%

Internal

flowchart TD
subgraph Scraping
    Storage
      Sc(Schedule scrapers)
      Sc-..->S1 & S2 & S3
      S1("`**Scraper n°1**
      - provider: container
      - scrape_interval: 15s`")
      S2("`**Scraper n°2**
      - provider: ping
      - scrape_interval: 30s`")
      S3(...)
    S1 & S2 & S3 -->SC
    SC{{Collect ScrapeResult}}
    Storage[(Storage)]
    S1 & S2 & S3<-.->Storage
end

SC--"- states\n- messages"-->AlertCenter

subgraph AlertCenter
    AC{{"Generate notifications"}}
    AC--notifications-->F
    F{{Filtering}}
    F--filtered notifications-->G
    G{{Grouping}}
end
G--filtered and grouped notifications-->Notifier
subgraph Notifier
    C{{Send notifications}}
    N1(Shoutrrr)
    N2(...)
    C-->N1
    C-->N2
end
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Scraping

Schedule configured scrapers. Each scraper may emit multiple states and multiple messages. On contrary to some other monitoring tools, decisions are taken in scrapers (i.e. are metric healthy).

Multiple instances of a given provider may be allowed (depending on provider).

A State metric is the combination of a metricId, a state (boolean) and a message. Example: metricId: "container_XXXX_state", isHealthy: false, message: "XXXX isn't running"

A Message metric is the combination of a metricId and a message. Example: metricId: "container_XXXX_updated", message: "container XXXX was updated ...."

Providers can persist data using Storage, a simple key-value database.

AlertCenter

AlertCenter is here to:

  • emit notifications from scrape result
  • avoid beeing flooded with notifications (filtering + grouping)

Generate notifications

If a state is marked as failed unhealthy_threshold time in a row, a notification is sent (metric XX failed). If a state is marked as OK healthy_threshold time in a row, a notification is sent (metric XX OK).

Messages are forwared as notifications (no processing at this step).

Filtering

Avoid sending too many notifications for a given metricId. Each metricId is allowed to send at most 5 messages every 30 minutes.

Grouping

When processing a notification, wait up to 15 seconds to group at most 10 notifications.

Notifier

Send all notifications to all configured notifiers. Multiple instances of each type are allowed.

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Minimal server monitoring tool running in a container (docker, podman...)

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