What's new for March 2025?

[New] DataDog APM: More Granular Metrics with Label Breakdown

BlazeMeter now supports label-level metric breakdowns in the DataDog APM integration, offering deeper visibility and precision.

What’s new:

  • Send performance metrics by label to DataDog
  • Up to 300 labels per test (additional labels are aggregated)
  • Metrics like average response time, percentiles, and others are tagged by label
  • Label names appear in DataDog under “Tags” along with master ID or report ID

How to enable it:
When configuring a DataDog Profile in BlazeMeter, select the new "Send Labels Breakdown" option. Once enabled, BlazeMeter automatically includes label-level data in every test execution sent to DataDog.

This feature enables users to build highly detailed dashboards in DataDog—on par with BlazeMeter’s in-platform reporting—for more actionable, real-time performance insights.

datadog apm

 

[API Monitoring]: Enhanced GraphQL Support - Auto-Fetch Schema & Postman Import

 BlazeMeter has introduced two powerful enhancements to streamline GraphQL testing:

  • Auto-Fetch GraphQL Schema – The GraphQL schema is now automatically retrieved whenever an endpoint is entered. This enables real-time validation and provides autocomplete suggestions, making query creation faster, more accurate, and more intuitive.
     
  • Import GraphQL from Postman – Easily migrate existing GraphQL requests by importing Postman collections. This eliminates the need for manual setup, allowing Postman users to seamlessly transition their workflows to BlazeMeter.

These updates enhance efficiency and improve the GraphQL testing experience, reducing setup time and minimizing errors.

Enhanced GraphQL Support