Applying Custom Data Collection Rules for AMA to Reduce Log Ingestion

Question

Is there a way to apply workspace transformation for the Azure Monitor Agent (AMA) similar to what was done with the Microsoft Monitoring Agent (MMA) to reduce log ingestion costs?

PS - Based on common issues that we have seen from customers and other sources, we are posting these questions to help the Azure community.

Answer 1

Yes, you can apply Data Collection transformation for the Azure Monitor Agent (AMA) to reduce log ingestion costs, similar to what was done with the Microsoft Monitoring Agent (MMA). Data Collection transformations allow you to filter, aggregate, or transform the data before it is ingested into your Log Analytics workspace, thus helping to manage and reduce ingestion costs.

Here's how you can apply workspace transformations for AMA:

Define a Data Collection Rule (DCR): Data Collection Rules (DCRs) allow you to define how data is collected, transformed, and sent to your Log Analytics workspace.

Create a Transformation Query: Within the DCR, you can define a transformation query using Kusto Query Language (KQL). This query specifies how to filter, project, or transform the data before it is ingested.

Apply the DCR to the AMA: Once your DCR with the transformation query is created, you can link it to the Azure Monitor Agent.

By implementing a Custom DCR with a transformation query, you can reduce the volume of data ingested into your workspace, thereby lowering ingestion costs. .

Resources:

• Data collection transformations - Azure Monitor
• Four Strategies for Cost-Effective Azure Monitoring and Log Analytics

**Please do not forget to "Accept the answer" and "up-vote" wherever the information provided helps you, as this can be beneficial to other community members.**Yes, you can apply Data Collection transformation for the Azure Monitor Agent (AMA) to reduce log ingestion costs, similar to what was done with the Microsoft Monitoring Agent (MMA). Data Collection transformations allow you to filter, aggregate, or transform the data before it is ingested into your Log Analytics workspace, thus helping to manage and reduce ingestion costs.

Here's how you can apply workspace transformations for AMA:

Define a Data Collection Rule (DCR): Data Collection Rules (DCRs) allow you to define how data is collected, transformed, and sent to your Log Analytics workspace.

Create a Transformation Query: Within the DCR, you can define a transformation query using Kusto Query Language (KQL). This query specifies how to filter, project, or transform the data before it is ingested.

Apply the DCR to the AMA: Once your DCR with the transformation query is created, you can link it to the Azure Monitor Agent.

By implementing a Custom DCR with a transformation query, you can reduce the volume of data ingested into your workspace, thereby lowering ingestion costs. .

Resources:

• Data collection transformations - Azure Monitor
• Four Strategies for Cost-Effective Azure Monitoring and Log Analytics

Please do not forget to "Accept the answer" and "up-vote" wherever the information provided helps you, as this can be beneficial to other community members.