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AWS wellarchitected documentation change

Service: wellarchitected · 2025-11-22 · Documentation low

File: wellarchitected/latest/cost-optimization-pillar/cost_govern_usage_controls.md

Summary

Fixed duplicate URL in AWS Cost Anomaly Detection link

Security assessment

The change corrects a typo in a hyperlink but contains no security-related content. This is a routine documentation maintenance change with no security implications.

Diff

diff --git a/wellarchitected/latest/cost-optimization-pillar/cost_govern_usage_controls.md b/wellarchitected/latest/cost-optimization-pillar/cost_govern_usage_controls.md
index 47900b577..df821ef78 100644
--- a//wellarchitected/latest/cost-optimization-pillar/cost_govern_usage_controls.md
+++ b//wellarchitected/latest/cost-optimization-pillar/cost_govern_usage_controls.md
@@ -17 +17 @@ A common first step in implementing cost controls is to set up notifications whe
-Once you set up your budget limits with AWS Budgets, use [AWS Cost Anomaly Detection](https://aws.amazon.com/https://aws.amazon.com/aws-cost-management/aws-cost-anomaly-detection/) to reduce your unexpected cost. AWS Cost Anomaly Detection is a cost management service that uses machine learning to continually monitor your cost and usage to detect unusual spends. It helps you identify anomalous spend and root causes, so you can quickly take action. First, create a cost monitor in AWS Cost Anomaly Detection, then choose your alerting preference by setting up a dollar threshold (such as an alert on anomalies with impact greater than $1,000). Once you receive alerts, you can analyze the root cause behind the anomaly and impact on your costs. You can also monitor and perform your own anomaly analysis in AWS Cost Explorer. 
+Once you set up your budget limits with AWS Budgets, use [AWS Cost Anomaly Detection](https://aws.amazon.com/aws-cost-management/aws-cost-anomaly-detection/) to reduce your unexpected cost. AWS Cost Anomaly Detection is a cost management service that uses machine learning to continually monitor your cost and usage to detect unusual spends. It helps you identify anomalous spend and root causes, so you can quickly take action. First, create a cost monitor in AWS Cost Anomaly Detection, then choose your alerting preference by setting up a dollar threshold (such as an alert on anomalies with impact greater than $1,000). Once you receive alerts, you can analyze the root cause behind the anomaly and impact on your costs. You can also monitor and perform your own anomaly analysis in AWS Cost Explorer.