25.4 enhancements and patches

Collect network device data from BMC Helix Network Management

Collect network device metrics from BMC Helix Network Management and import them into BMC Helix Continuous Optimization by using the Remote ETL Engine (REE). The system retrieves object relationships, tag data, configuration data, and performance metrics from BMC Helix Network Management sites and prepares them for processing in BMC Helix Continuous Optimization.

For more information, see

Collect network device data from BMC Helix Network Management - BMC Documentation

Support for configuring cloud ETL migration behavior

Use the migrate.cloud.etls.to.generic.scheduler migration ate to migrate cloud ETLs from TrueSight Capacity Optimization to run on the Generic Scheduler in BMC Helix Continuous Optimization. This enhancement provides improved control over scheduler selection and simplifies proxy management during migration.

For more information, see

• Key considerations for migration
• Preparing for migration

Support for configuration proxy settings during migration

Use the proxy configuration parameters to run the migration tool through a proxy server. This enhancement provides improved connectivity flexibility and supports secure network environments during migration.
For more information, see Running the migration tool.

Eliminate redundant sub-resources before migration

Perform the pre-migration step to eliminate redundant sub-resources to ensure smoother migration and better BHCO performance. For more information, see Preparing for Migration.

ETL module enhancements

The following video (2:41) provides a high-level summary of the new features and enhancements in version 25.4 of BMC Helix Continuous Optimization.

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