### Describe Your Changes
docs/vmanomaly: updates for v1.16.3
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
(cherry picked from commit f61d8c3ebb
)
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For exporting data, VictoriaMetrics Anomaly Detection (vmanomaly
) primarily employs the VmWriter, which writes produced anomaly scores (preserving initial labelset and optionally applying additional ones) back to VictoriaMetrics. This writer is tailored for smooth data export within the VictoriaMetrics ecosystem.
Future updates will introduce additional export methods, offering users more flexibility in data handling and integration.
VM writer
Config parameters
Parameter | Example | Description |
---|---|---|
|
|
Name of the class needed to enable writing to VictoriaMetrics or Prometheus. VmWriter is the default option, if not specified. |
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|
Datasource URL address |
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|
For VictoriaMetrics Cluster version only, tenants are identified by |
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Metrics to save the output (in metric names or labels). Must have
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Optional, to override the default import path |
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|
Absolute or relative URL address where to check the availability of the datasource. Optional, to override the default |
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BasicAuth username |
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BasicAuth password |
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|
Timeout for the requests, passed as a string |
verify_tls
|
false
|
Verify TLS certificate. If False , it will not verify the TLS certificate.
If True , it will verify the certificate using the system's CA store.
If a path to a CA bundle file (like ca.crt ), it will verify the certificate using the provided CA bundle.
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tls_cert_file
|
path/to/cert.crt
|
Path to a file with the client certificate, i.e. client.crt . Available since v1.16.3.
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tls_key_file
|
path/to/key.crt
|
Path to a file with the client certificate key, i.e. client.key . Available since v1.16.3.
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bearer_token
|
token
|
Token is passed in the standard format with header: Authorization: bearer {token}
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bearer_token_file
|
path_to_file
|
Path to a file, which contains token, that is passed in the standard format with header: Authorization: bearer {token} . Available since v1.15.9
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Config example:
writer:
class: "vm" # or "writer.vm.VmWriter" until v1.13.0
datasource_url: "http://localhost:8428/"
tenant_id: "0:0"
metric_format:
__name__: "vmanomaly_$VAR"
for: "$QUERY_KEY"
run: "test_metric_format"
config: "io_vm_single.yaml"
import_json_path: "/api/v1/import"
health_path: "health"
user: "foo"
password: "bar"
Multitenancy support
This feature applies to the VictoriaMetrics Cluster version only. Tenants are identified by either
accountID
oraccountID:projectID
. Starting with v1.16.2, themultitenant
endpoint is supported for writing data across multiple tenants. For more details, refer to the VictoriaMetrics Cluster multitenancy documentation.
Please note the different behaviors depending on the tenant_id
value:
-
When
writer.tenant_id != 'multitenant'
(e.g.,"0:0"
) andreader.tenant_id != 'multitenant'
(can be different but valid, like `"0:1"):- The
vm_account_id
label is not created in the reader, not persisted to the writer, and is not expected in the output. - Result: Data is written successfully with no logs or errors.
- The
-
When
writer.tenant_id = 'multitenant'
andvm_project_id
is present in the label set:- This typically happens when
reader.tenant_id
is also set tomultitenant
, meaning thevm_account_id
label is stored in the results returned from the queries. - Result: Everything functions as expected. Data is written successfully with no logs or errors.
- This typically happens when
-
When
writer.tenant_id = 'multitenant'
butvm_account_id
is missing (e.g., due to aggregation in the reader or missingkeep_metric_names
in the query):- Result: The data is still written to
"0:0"
, but a warning is raised:
The label `vm_account_id` was not found in the label set of {query_result.key}, but tenant_id='multitenant' is set in writer. The data will be written to the default tenant 0:0. Ensure that the query retains the necessary multi-tenant labels, or adjust the aggregation settings to preserve `vm_account_id` key in the label set.
- Result: The data is still written to
-
When
writer.tenant_id != 'multitenant'
(e.g.,"0:0"
) andvm_account_id
exists in the label set:- Result: Writing is allowed, but a warning is raised:
The label set for the metric {query_result.key} contains multi-tenancy labels, but the write endpoint is configured for single-tenant mode (tenant_id != 'multitenant'). Either adjust the query in the reader to avoid multi-tenancy labels or ensure that reserved key `vm_account_id` is not explicitly set for single-tenant environments.
mTLS protection
Starting from v1.16.3, vmanomaly
components such as VmWriter support mTLS to ensure secure communication with VictoriaMetrics Enterprise, configured with mTLS.
For detailed guidance on configuring mTLS parameters such as verify_tls
, tls_cert_file
, and tls_key_file
, please refer to the mTLS protection section in the Reader documentation. The configuration principles apply consistently across all these vmanomaly
components.
Healthcheck metrics
VmWriter
exposes several healthchecks metrics.
Metrics formatting
There should be 2 mandatory parameters set in metric_format
- __name__
and for
.
__name__: PREFIX1_$VAR
for: PREFIX2_$QUERY_KEY
- for
__name__
parameter it will name metrics returned by models asPREFIX1_anomaly_score
,PREFIX1_yhat_lower
, etc. Vmanomaly output metrics names described here - for
for
parameter will add labelsPREFIX2_query_name_1
,PREFIX2_query_name_2
, etc. Query names are set as aliases in configreader
section inqueries
parameter.
It is possible to specify other custom label names needed. For example:
custom_label_1: label_name_1
custom_label_2: label_name_2
Apart from specified labels, output metrics will return labels inherited from input metrics returned by queries.
For example if input data contains labels such as cpu=1, device=eth0, instance=node-exporter:9100
all these labels will be present in vmanomaly output metrics.
So if metric_format section was set up like this:
metric_format:
__name__: "PREFIX1_$VAR"
for: "PREFIX2_$QUERY_KEY"
custom_label_1: label_name_1
custom_label_2: label_name_2
It will return metrics that will look like:
{__name__="PREFIX1_anomaly_score", for="PREFIX2_query_name_1", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}
{__name__="PREFIX1_yhat_lower", for="PREFIX2_query_name_1", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}
{__name__="PREFIX1_anomaly_score", for="PREFIX2_query_name_2", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}
{__name__="PREFIX1_yhat_lower", for="PREFIX2_query_name_2", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}