Skip to content

[ccm] anomalies - mentionning Azure and Gcp #31237

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 3 commits into
base: master
Choose a base branch
from
Open

[ccm] anomalies - mentionning Azure and Gcp #31237

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
401a7ed
[ccm] anomalies - mentionning Azure and Gcp
jonathankauch Aug 22, 2025
e36b1bd
Update content/en/cloud_cost_management/anomalies.md
jonathankauch Aug 22, 2025
3de4a3c
Update content/en/cloud_cost_management/anomalies.md
jonathankauch Aug 22, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions content/en/cloud_cost_management/anomalies.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ further_reading:

## Overview

Datadog Cloud Cost Management (CCM) continuously monitors your environment to detect and prioritize unexpected cost changes, enabling you to share, investigate, and resolve anomalies. Cost anomalies are available for AWS, and do not require any additional setup after CCM is set up.
Datadog Cloud Cost Management (CCM) continuously monitors your environment to detect and prioritize unexpected cost changes, enabling you to share, investigate, and resolve anomalies. Cost anomalies are available for AWS, Azure, and Google Cloud and do not require any additional setup after CCM is set up.

{{< img src="cloud_cost/anomalies/anomalies-overview.png" alt="List of cost anomalies showing service names, usage types, and cost impacts" style="width:80;" >}}

Expand All @@ -27,7 +27,7 @@ A typical workflow could be the following:
Anomalies are significant, unexpected changes that stand out from typical patterns. Datadog automatically identifies anomalies using machine learning techniques that adapt to your specific usage patterns.

To distinguish between true anomalies and expected fluctuations, Datadog's algorithm:
- Recognizes recurring cost spikes and dips, such as a cost increase every Monday
- Recognizes recurring cost spikes and dips, such as a cost increase every Monday
- Focuses on engineering usage (excludes taxes, credits, refunds, and Reserved Instance fees)
- Filters out low-impact anomalies to reduce noise

Expand Down Expand Up @@ -99,7 +99,7 @@ This is an example of how to mark a cost anomaly as significant and explain why

If you're not seeing expected anomalies:
- Verify that CCM is [properly set up][3]
- Check that you have the necessary permissions for AWS
- Check that you have the necessary permissions for AWS, Azure, or Google Cloud
- Review the time range of your anomaly view

For more help, contact [Datadog Support][4].
Expand All @@ -111,4 +111,4 @@ For more help, contact [Datadog Support][4].
[1]: https://app.datadoghq.com/cost/analyze/anomalies
[2]: /dashboards/graph_insights/watchdog_explains
[3]: /cloud_cost_management/setup/
[4]: /help/
[4]: /help/
Loading