AWS wellarchitected documentation change
Summary
Fixed a broken URL link for AWS Cost Anomaly Detection by removing duplicate domain prefix
Security assessment
The change only corrects a hyperlink formatting error without introducing or modifying security-related content. No security implications are present in this documentation fix.
Diff
diff --git a/wellarchitected/2023-10-03/framework/cost_govern_usage_controls.md b/wellarchitected/2023-10-03/framework/cost_govern_usage_controls.md index af43bf081..ffb96d8c6 100644 --- a//wellarchitected/2023-10-03/framework/cost_govern_usage_controls.md +++ b//wellarchitected/2023-10-03/framework/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 services 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 services 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.