From 1186de25ab598fd4b5df44c2f3c129fa4f01da5d Mon Sep 17 00:00:00 2001 From: Kim Pohas Date: Tue, 5 Nov 2024 15:09:02 -0800 Subject: [PATCH] Metrics anomalies GA release note --- blog-service/2024-11-05-alerts.md | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 blog-service/2024-11-05-alerts.md diff --git a/blog-service/2024-11-05-alerts.md b/blog-service/2024-11-05-alerts.md new file mode 100644 index 0000000000..782d39da4f --- /dev/null +++ b/blog-service/2024-11-05-alerts.md @@ -0,0 +1,23 @@ +--- +title: AI-Driven Alerts for Metrics Anomalies (Monitors) +image: https://help.sumologic.com/img/sumo-square.png +keywords: + - metrics + - monitors + - alerts + - anomalies + - ai +hide_table_of_contents: true +--- + +import useBaseUrl from '@docusaurus/useBaseUrl'; + +icon + +We're excited to announce the general availability of AI-driven alerts for metrics anomalies, extending our AI-driven alerting capabilities to include metrics-based monitors. This new feature aims to reduce alert fatigue and accelerate incident resolution through the use of automated playbooks. [Learn more](/docs/alerts/monitors/create-monitor). + +### Key features + +* **Advanced anomaly detection**. Leverages 30 days of historical metrics data to establish baselines and identify critical anomalies. +* **Customizable detection**. Allows configuration based on specific criteria, such as detecting multiple anomalies within a defined time window. +* **Playbook integration**. Streamlines diagnosis and recovery by automating responses through integrated playbooks.