VictoriaMetrics/docs/anomaly-detection/components/README.md

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---
title: Components
weight: 2
menu:
docs:
identifier: "vmanomaly-components"
parent: "anomaly-detection"
weight: 2
aliases:
- /anomaly-detection/components/
- /anomaly-detection/components/index.html
---
# Components
This chapter describes different components, that correspond to respective sections of a config to launch VictoriaMetrics Anomaly Detection (or simply [`vmanomaly`](/anomaly-detection/overview.html)) service:
- [Model(s) section](models.html) - Required
- [Reader section](reader.html) - Required
- [Scheduler(s) section](scheduler.html) - Required
- [Writer section](writer.html) - Required
- [Monitoring section](monitoring.html) - Optional
> **Note**: starting from [v1.7.0](/anomaly-detection/CHANGELOG.html#v172), once the service starts, automated config validation is performed. Please see container logs for errors that need to be fixed to create fully valid config, visiting sections above for examples and documentation.
> **Note**: starting from [v1.13.0](/anomaly-detection/CHANGELOG.html#v1130), components' class can be referenced by a short alias instead of a full class path - i.e. `model.zscore.ZscoreModel` becomes `zscore`, `reader.vm.VmReader` becomes `vm`, `scheduler.periodic.PeriodicScheduler` becomes `periodic`, etc. Please see according sections for the details.
Below, you will find an example illustrating how the components of `vmanomaly` interact with each other and with a single-node VictoriaMetrics setup.
> **Note**: [Reader](/anomaly-detection/components/reader.html#vm-reader) and [Writer](/anomaly-detection/components/writer.html#vm-writer) also support [multitenancy](/Cluster-VictoriaMetrics.html#multitenancy), so you can read/write from/to different locations - see `tenant_id` param description.
<img alt="vmanomaly-components" src="vmanomaly-components.webp" width="800px"/>
Here's a minimalistic full config example, demonstrating many-to-many configuration (actual for [latest version](/anomaly-detection/CHANGELOG/)):
```yaml
# how and when to run the models is defined by schedulers
# https://docs.victoriametrics.com/anomaly-detection/components/scheduler/
schedulers:
periodic_1d: # alias
class: 'periodic' # scheduler class
infer_every: "30s"
fit_every: "10m"
fit_window: "24h"
periodic_1w:
class: 'periodic'
infer_every: "15m"
fit_every: "1h"
fit_window: "7d"
# what model types and with what hyperparams to run on your data
# https://docs.victoriametrics.com/anomaly-detection/components/models/
models:
zscore: # alias
class: 'zscore' # model class
z_threshold: 3.5
provide_series: ['anomaly_score'] # what series to produce
queries: ['host_network_receive_errors'] # what queries to run particular model on
schedulers: ['periodic_1d'] # will be attached to 1-day schedule, fit every 10m and infer every 30s
prophet: # alias
class: 'prophet'
provide_series: ['anomaly_score', 'yhat', 'yhat_lower', 'yhat_upper']
queries: ['cpu_seconds_total']
schedulers: ['periodic_1w'] # will be attached to 1-week schedule, fit every 1h and infer every 15m
args: # model-specific arguments
interval_width: 0.98
# where to read data from
# https://docs.victoriametrics.com/anomaly-detection/components/reader/
reader:
datasource_url: "http://victoriametrics:8428/"
tenant_id: "0:0"
class: 'vm'
sampling_period: "30s" # what data resolution of your data to have
queries: # aliases to MetricsQL expressions
cpu_seconds_total: 'avg(rate(node_cpu_seconds_total[5m])) by (mode)'
host_network_receive_errors: 'rate(node_network_receive_errs_total[3m]) / rate(node_network_receive_packets_total[3m])'
# where to write data to
# https://docs.victoriametrics.com/anomaly-detection/components/writer/
writer:
datasource_url: "http://victoriametrics:8428/"
# enable self-monitoring in pull and/or push mode
# https://docs.victoriametrics.com/anomaly-detection/components/monitoring/
monitoring:
pull: # Enable /metrics endpoint.
addr: "0.0.0.0"
port: 8490
```