25.4 enhancements and patches

Support for maximum utilization of key metrics for Azure API Extractor

The Azure API Extractor supports collecting and displaying the maximum, minimum, and average values for key metrics such as MEM_UTIL, CPU_UTIL, TOTAL_LDISK_UTIL, and TOTAL_FS_UTIL. With this capability, you can analyze performance patterns, identify resource bottlenecks, and make data-driven decisions.

For more information, see 

• Microsoft Azure - Azure API Extractor, Entities 
• lookup information, metrics, and API calls for Azure Resource Manager model
• Collecting data for additional instance type configuration metrics
• Collecting additional metrics using Guest OS diagnostics.

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Collect and import NVIDIA GPU metrics by using dcgm-exporter scripts

Collect GPU performance and utilization data from NVIDIA GPUs by using dcgm-exporter scripts on the Remote ETL Engine and import it into BMC Helix Continuous Optimization via the Generic – CSV Parser ETL, enabling automated and scheduled collection of GPU data for up-to-date insights into monitoring, trend analysis, and capacity planning. Users can efficiently track GPU usage across multiple hosts, identify potential bottlenecks, and optimize performance for critical workloads.

For more information, see

• Collecting GPU Data Using NVIDIA dcgm-exporter
• Servers GPU views

Servers Overview with Namespace column and updated technology list

The Servers Overview view is enhanced to include a Namespace column that displays the logical grouping or environment of each server. The technology list in this view is also updated to reflect the supported virtual machine types.

For more information, see Server views and Servers Overview view.

Monitor future business service risk with AIOps Service Risk Indicator

The AIOps Service Risk Indicator enables service owners to view predicted risks for business services in BMC Helix Continuous Optimization. This capability helps service owners quickly identify services that may face future capacity risks, assess their potential impact, and take proactive actions to prevent service disruptions.

For more information, see Monitoring service health.

ETL module enhancements