victoriametrics.com

For a broader overview please visit the navigation page.

How to install and run vmanomaly #

To run vmanomaly, you need to have VictoriaMetrics Enterprise license. You can get a trial license key here.

The following options are available:

Note: Starting from v1.13.0 there is a mode to keep anomaly detection models on host filesystem after fit stage (instead of keeping them in-memory by default); This may lead to noticeable reduction of RAM used on bigger setups. See instructions here.

Note: Starting from v1.16.0, a similar optimization is available for data read from VictoriaMetrics TSDB. See instructions here.

Command-line arguments #

The vmanomaly service supports several command-line arguments to configure its behavior, including options for licensing, logging levels, and more. These arguments can be passed when starting the service via Docker or any other setup. Below is the list of available options:

Note: Starting from v1.18.5 vmanomaly support running on config directories, see the config positional arg description in help message below.

usage: vmanomaly.py [-h] [--license STRING | --licenseFile PATH] [--license.forceOffline] [--loggerLevel {INFO,DEBUG,ERROR,WARNING,FATAL}] [--watch] config [config ...]

VictoriaMetrics Anomaly Detection Service

positional arguments:
  config                YAML config file(s) or directories containing YAML files. Multiple files will recursively merge each other values so multiple configs can be combined. If a directory
                        is provided, all `.yaml` files inside will be merged, without recursion. Default: vmanomaly.yaml is expected in the current directory.

options:
  -h                    show this help message and exit
  --license STRING      License key for VictoriaMetrics Enterprise. See https://victoriametrics.com/products/enterprise/trial/ to obtain a trial license.
  --licenseFile PATH    Path to file with license key for VictoriaMetrics Enterprise. See https://victoriametrics.com/products/enterprise/trial/ to obtain a trial license.
  --license.forceOffline 
                        Whether to force offline verification for VictoriaMetrics Enterprise license key, which has been passed either via -license or via -licenseFile command-line flag. The
                        issued license key must support offline verification feature. Contact info@victoriametrics.com if you need offline license verification.
  --loggerLevel {INFO,DEBUG,ERROR,WARNING,FATAL}
                        Minimum level to log. Possible values: DEBUG, INFO, WARNING, ERROR, FATAL.
  --watch               [DEPRECATED SINCE v1.11.0] Watch config files for changes. This option is no longer supported and will be ignored.

You can specify these options when running vmanomaly to fine-tune logging levels or handle licensing configurations, as per your requirements.

Licensing #

The license key can be passed via the following command-line flags: --license, --licenseFile, --license.forceOffline

In order to make it easier to monitor the license expiration date, the following metrics are exposed(see Monitoring section for details on how to scrape them):

# HELP vm_license_expires_at When the license expires as a Unix timestamp in seconds
# TYPE vm_license_expires_at gauge
vm_license_expires_at 1.6963776e+09
# HELP vm_license_expires_in_seconds Amount of seconds until the license expires
# TYPE vm_license_expires_in_seconds gauge
vm_license_expires_in_seconds 4.886608e+06

Example alerts for vmalert:

groups:
  - name: vm-license
    # note the `job` label and update accordingly to your setup
    rules:
      - alert: LicenseExpiresInLessThan30Days
        expr: vm_license_expires_in_seconds < 30 * 24 * 3600
        labels:
          severity: warning
        annotations:
          summary: "{{ $labels.job }} instance {{ $labels.instance }} license expires in less than 30 days"
          description: "{{ $labels.instance }} of job {{ $labels.job }} license expires in {{ $value | humanizeDuration }}. 
            Please make sure to update the license before it expires."

      - alert: LicenseExpiresInLessThan7Days
        expr: vm_license_expires_in_seconds < 7 * 24 * 3600
        labels:
          severity: critical
        annotations:
          summary: "{{ $labels.job }} instance {{ $labels.instance }} license expires in less than 7 days"
          description: "{{ $labels.instance }} of job {{ $labels.job }} license expires in {{ $value | humanizeDuration }}. 
            Please make sure to update the license before it expires."

Docker #

To run vmanomaly, you need to have VictoriaMetrics Enterprise license. You can get a trial license key here.

Below are the steps to get vmanomaly up and running inside a Docker container:

  1. Pull Docker image:
docker pull victoriametrics/vmanomaly:v1.18.8
  1. (Optional step) tag the vmanomaly Docker image:
docker image tag victoriametrics/vmanomaly:v1.18.8 vmanomaly
  1. Start the vmanomaly Docker container with a license file, use the command below. Make sure to replace YOUR_LICENSE_FILE_PATH, and YOUR_CONFIG_FILE_PATH with your specific details:
export YOUR_LICENSE_FILE_PATH=path/to/license/file
export YOUR_CONFIG_FILE_PATH=path/to/config/file
docker run -it -v $YOUR_LICENSE_FILE_PATH:/license \
               -v $YOUR_CONFIG_FILE_PATH:/config.yml \
               vmanomaly /config.yml \
               --licenseFile=/license \
               --loggerLevel=INFO

In case you found PermissionError: [Errno 13] Permission denied: in vmanomaly logs, set user/user group to 1000 in the run command above / in a docker-compose file:

export YOUR_LICENSE_FILE_PATH=path/to/license/file
export YOUR_CONFIG_FILE_PATH=path/to/config/file
docker run -it --user 1000:1000 \
               -v $YOUR_LICENSE_FILE_PATH:/license \
               -v $YOUR_CONFIG_FILE_PATH:/config.yml \
               vmanomaly /config.yml \
               --licenseFile=/license \
               --loggerLevel=INFO

# docker-compose file
services:
  # ...
  vmanomaly:
    image: victoriametrics/vmanomaly:v1.18.8
    volumes:
        $YOUR_LICENSE_FILE_PATH:/license
        $YOUR_CONFIG_FILE_PATH:/config.yml
    command:
      - "/config.yml"
      - "--licenseFile=/license"
      - "--loggerLevel=INFO"
    # ...

For a complete docker-compose example please refer to our alerting guide, chapter docker-compose

See also:

Kubernetes with Helm charts #

To run vmanomaly, you need to have VictoriaMetrics Enterprise license. You can get a trial license key here.

You can run vmanomaly in Kubernetes environment with these Helm charts.

How to configure vmanomaly #

To run vmanomaly you need to set up configuration file in yaml format.

Here is an example of config file that will run Facebook Prophet model, that will be retrained every 2 hours on 14 days of previous data. It will generate inference (including anomaly_score metric) every 1 minute.

schedulers:
  2h_1m:
    # https://docs.victoriametrics.com/anomaly-detection/components/scheduler/#periodic-scheduler
    class: 'periodic'
    infer_every: '1m'
    fit_every: '2h'
    fit_window: '2w'

models:
  # https://docs.victoriametrics.com/anomaly-detection/components/models/#prophet
  prophet_model:
    class: "prophet"  # or "model.prophet.ProphetModel" until v1.13.0
    args:
      interval_width: 0.98

reader:
  # https://docs.victoriametrics.com/anomaly-detection/components/reader/#vm-reader
  datasource_url: "http://victoriametrics:8428/" # [YOUR_DATASOURCE_URL]
  sampling_period: "1m"
  queries: 
    # define your queries with MetricsQL - https://docs.victoriametrics.com/metricsql/
    cache: "sum(rate(vm_cache_entries))"

writer:
  # https://docs.victoriametrics.com/anomaly-detection/components/writer/#vm-writer
  datasource_url:  "http://victoriametrics:8428/" # [YOUR_DATASOURCE_URL]

Next steps:

  • Define how often to run and make inferences in the scheduler section of a config file.
  • Setup the datasource to read data from in the reader section.
  • Specify where and how to store anomaly detection metrics in the writer section.
  • Configure built-in models parameters according to your needs in the models section.
  • Integrate your custom models with vmanomaly.
  • Define queries for input data using MetricsQL.

Check also #

Here are other materials that you might find useful:

Content

Back to Page