AWS wellarchitected documentation change
Summary
Fixed duplicate URL fragment in AWS Cost Anomaly Detection link
Security assessment
Corrects a broken hyperlink but does not relate to security features or vulnerabilities. The change is purely a documentation formatting fix.
Diff
diff --git a/wellarchitected/2024-06-27/framework/cost_govern_usage_controls.md b/wellarchitected/2024-06-27/framework/cost_govern_usage_controls.md index 9a6a3a96c..f16f7c1d2 100644 --- a//wellarchitected/2024-06-27/framework/cost_govern_usage_controls.md +++ b//wellarchitected/2024-06-27/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.