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docs: vmanomaly - release notes v1.15.[6-9] (#6879)
### Describe Your Changes
release notes for patches 1.15.6 - 9
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
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@ -13,8 +13,25 @@ Please find the changelog for VictoriaMetrics Anomaly Detection below.
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> **Important note: Users are strongly encouraged to upgrade to `vmanomaly` [v1.9.2](https://hub.docker.com/repository/docker/victoriametrics/vmanomaly/tags?page=1&ordering=name) or newer for optimal performance and accuracy. <br><br> This recommendation is crucial for configurations with a low `infer_every` parameter [in your scheduler](https://docs.victoriametrics.com/anomaly-detection/components/scheduler/#parameters-1), and in scenarios where data exhibits significant high-order seasonality patterns (such as hourly or daily cycles). Previous versions from v1.5.1 to v1.8.0 were identified to contain a critical issue impacting model training, where models were inadvertently trained on limited data subsets, leading to suboptimal fits, affecting the accuracy of anomaly detection. <br><br> Upgrading to v1.9.2 addresses this issue, ensuring proper model training and enhanced reliability. For users utilizing Helm charts, it is recommended to upgrade to version [1.0.0](https://github.com/VictoriaMetrics/helm-charts/blob/master/charts/victoria-metrics-anomaly/CHANGELOG.md#100) or newer.**
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> **Important note: Users are strongly encouraged to upgrade to `vmanomaly` [v1.9.2](https://hub.docker.com/repository/docker/victoriametrics/vmanomaly/tags?page=1&ordering=name) or newer for optimal performance and accuracy. <br><br> This recommendation is crucial for configurations with a low `infer_every` parameter [in your scheduler](https://docs.victoriametrics.com/anomaly-detection/components/scheduler/#parameters-1), and in scenarios where data exhibits significant high-order seasonality patterns (such as hourly or daily cycles). Previous versions from v1.5.1 to v1.8.0 were identified to contain a critical issue impacting model training, where models were inadvertently trained on limited data subsets, leading to suboptimal fits, affecting the accuracy of anomaly detection. <br><br> Upgrading to v1.9.2 addresses this issue, ensuring proper model training and enhanced reliability. For users utilizing Helm charts, it is recommended to upgrade to version [1.0.0](https://github.com/VictoriaMetrics/helm-charts/blob/master/charts/victoria-metrics-anomaly/CHANGELOG.md#100) or newer.**
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## v1.15.9
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Released: 2024-08-27
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- IMPROVEMENT: Added support for bearer token authentication in `push` mode within the [self-monitoring configuration section](https://docs.victoriametrics.com/anomaly-detection/components/monitoring/#push-config-parameters).
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## v1.15.8
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Released: 2024-08-27
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- FIX: Made minor adjustments to how the [reader](https://docs.victoriametrics.com/anomaly-detection/components/reader/#vm-reader) and [writer](https://docs.victoriametrics.com/anomaly-detection/components/writer/#vm-writer) handle bearer tokens across different modes.
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## v1.15.7
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Released: 2024-08-27
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- FIX: Made minor adjustments to how the [reader](https://docs.victoriametrics.com/anomaly-detection/components/reader/#vm-reader) and [writer](https://docs.victoriametrics.com/anomaly-detection/components/writer/#vm-writer) handle bearer tokens across different modes.
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## v1.15.6
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Released: 2024-08-26
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- IMPROVEMENT: Introduced the `bearer_token_file` argument to the [reader](https://docs.victoriametrics.com/anomaly-detection/components/reader/#vm-reader) and [writer](https://docs.victoriametrics.com/anomaly-detection/components/writer/#vm-writer) components to enhance secret management.
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## v1.15.5
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## v1.15.5
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Released: 2025-08-19
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Released: 2024-08-19
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- FIX: following [v1.15.2](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1152) online model enhancement, now `data_range` parameter is correctly initialized for online models, created (for new time series returned by particular query) during `infer` calls.
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- FIX: following [v1.15.2](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1152) online model enhancement, now `data_range` parameter is correctly initialized for online models, created (for new time series returned by particular query) during `infer` calls.
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## v1.15.4
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## v1.15.4
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@ -112,6 +112,28 @@ Deprecated since [v1.8.0](https://docs.victoriametrics.com/anomaly-detection/cha
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</tr>
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<tr>
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<tr>
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<td>
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<td>
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`bearer_token`
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</td>
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<td>
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`token`
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</td>
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<td>
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Token is passed in the standard format with header: `Authorization: bearer {token}`. Available since [v1.15.9](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1159)
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</td>
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</tr>
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<tr>
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<td>
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`bearer_token_file`
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</td>
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<td>
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`path_to_file`
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</td>
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<td>
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Path to a file, which contains token, that is passed in the standard format with header: `Authorization: bearer {token}`. Available since [v1.15.9](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1159)
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</td>
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</tr>
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<tr>
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<td>
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`verify_tls`
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`verify_tls`
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@ -227,6 +227,17 @@ Token is passed in the standard format with header: `Authorization: bearer {toke
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`bearer_token_file`
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</td>
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`path_to_file`
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<td>
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Path to a file, which contains token, that is passed in the standard format with header: `Authorization: bearer {token}`. Available since [v1.15.9](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1159)
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</td>
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`extra_filters`
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`extra_filters`
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</td>
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@ -199,16 +199,24 @@ Allows disabling TLS verification of the remote certificate.
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`bearer_token`
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`bearer_token`
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<td>
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`token`
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`token`
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Token is passed in the standard format with header: `Authorization: bearer {token}`
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Token is passed in the standard format with the header: `Authorization: bearer {token}`
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`bearer_token_file`
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`path_to_file`
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<td>
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Path to a file, which contains token, that is passed in the standard format with header: `Authorization: bearer {token}`. Available since [v1.15.9](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1159)
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</td>
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