From 62088fa673a4bbf8cc675a777fd1acf75cc88ba3 Mon Sep 17 00:00:00 2001
From: Rachel Wang <82916311+rachrwang@users.noreply.github.com>
Date: Wed, 6 Nov 2024 14:44:42 -0800
Subject: [PATCH] Update metric-alert-config.mdx
---
docs/product/alerts/create-alerts/metric-alert-config.mdx | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/product/alerts/create-alerts/metric-alert-config.mdx b/docs/product/alerts/create-alerts/metric-alert-config.mdx
index 2ec7d38005104..0234f318ffb51 100644
--- a/docs/product/alerts/create-alerts/metric-alert-config.mdx
+++ b/docs/product/alerts/create-alerts/metric-alert-config.mdx
@@ -115,7 +115,7 @@ There are three threshold types:
- **Static**: A fixed numerical threshold set by you. (For example, if there are 100 errors in a set period of time.)
- **Percent change**: A percent based threshold, such as when there are 10% more errors in a time period compared to a previous period. These are also referred to as [Change Alerts](#change-alerts-percent-change).
-- **Dynamic**: A dynamic threshold set by Sentry that detects anomalies whenever values fall outside of expected bounds.
+- **Anomaly**: A dynamic threshold maintained by Sentry that detects anomalies whenever values fall outside of expected bounds.
By default, metric alerts use a fixed threshold.
@@ -127,15 +127,15 @@ Change alerts, or alerts that use a percent change threshold, are useful when yo
-### Dynamic Alerts
+### Anomaly Alerts
-Dynamic alerts can be used when you don't know what threshold to set, but you know you want to be alerted when something is far outside the bounds of normalcy. Sentry will look at the historical data for the given metric and determine if the current data is anomalous. You have three options for the responsiveness of the alert: low, medium, and high. Low responsiveness means the alert will fire less frequently with each instance being higher signal. High responsiveness will capture more instances of the alert, which creates more coverage with a greater likelihood for false positives. Our recommendation is to start with our default (medium), and iterate based on the results you see.
+Anomaly alerts can be used when you don't know what threshold to set, but you know you want to be alerted when something is far outside the bounds of normalcy. Sentry will look at the historical data for the given metric and determine if the current data is anomalous. You have three options for the responsiveness of the alert: low, medium, and high. Low responsiveness means the alert will fire less frequently with each instance being higher signal. High responsiveness will capture more instances of the alert, which creates more coverage with a greater likelihood for false positives. Our recommendation is to start with our default (medium), and iterate based on the results you see.
Another setting is to set the direction of the alert: above and/or below the expected bounds. This setting can help increase the signal of your alert rule.
-Dynamic alerts do not use the Critical, Warning, and Resolved thresholds like other alert threshold types as you are not setting these yourself. When no more anomalies are detected, the alert will resolve. Dynamic alerts are not available for all metric alert types.
+Critical and Resolved thresholds will be controlled by Sentry rather than the user. When no more anomalies are detected, the alert will resolve. Anomaly alerts are not available for all metric alert types.
