From 124fbd508167d53ab545b355fdf39e2d32128f7d Mon Sep 17 00:00:00 2001 From: Fred Navruzov Date: Wed, 14 Aug 2024 18:34:40 +0200 Subject: [PATCH] docs/vmanomaly - changelog update to v1.15.3 (#6808) ### Describe Your Changes changelog updates to v1.15.3 patch of `vmanomaly` ### Checklist The following checks are **mandatory**: - [ ] My change adheres [VictoriaMetrics contributing guidelines](https://docs.victoriametrics.com/contributing/). --- docs/anomaly-detection/CHANGELOG.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/anomaly-detection/CHANGELOG.md b/docs/anomaly-detection/CHANGELOG.md index 80c4ef6638..2abd239c31 100644 --- a/docs/anomaly-detection/CHANGELOG.md +++ b/docs/anomaly-detection/CHANGELOG.md @@ -13,6 +13,10 @@ Please find the changelog for VictoriaMetrics Anomaly Detection below. > **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.

This recommendation is crucial for configurations with a low `infer_every` parameter [in your scheduler](./components/scheduler.md#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.

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.** +## v1.15.3 +Released: 2024-08-14 +- IMPROVEMENT: better config handling of `reader` [section](https://docs.victoriametrics.com/anomaly-detection/components/reader/#vm-reader) if using `vmanomaly` with [helm charts](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-anomaly). + ## v1.15.2 Released: 2024-08-13 - IMPROVEMENT: Enhanced [online models](https://docs.victoriametrics.com/anomaly-detection/components/models/#online-models) (e.g., [`OnlineQuantileModel`](https://docs.victoriametrics.com/anomaly-detection/components/models/#online-seasonal-quantile)) to automatically create model instances for unseen time series during `infer` calls, eliminating the need to wait for the next `fit` call. This ensures no inferences are skipped **when using online models**.