victoriametrics.com

For service introduction visit README page and Overview of how vmanomaly works.

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.

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:latest
  1. (Optional step) tag the vmanomaly Docker image:
docker image tag victoriametrics/vmanomaly:latest 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 \
               --license-file=/license

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 \
               --license-file=/license

# docker-compose file
services:
  # ...
  vmanomaly:
    image: victoriametrics/vmanomaly:latest
    volumes:
        $YOUR_LICENSE_FILE_PATH:/license
        $YOUR_CONFIG_FILE_PATH:/config.yml
    command:
      - "/config.yml"
      - "--license-file=/license"
    # ...

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:

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