Important Starting from version 22.2, the documentation for BMC Helix Intelligent Integrations and Developer Tools resides in a separate space. For the latest version documentation, see BMC Helix Intelligent Integrations.

BMC Helix AIOps 22.2


BMC Helix AIOps 22.2

BMC Helix AIOps is a multi-layered technology platform that leverages big data to automate and enhance IT operations through analytics, artificial intelligence (AI), and machine learning (ML). It uses predictive capabilities to proactively improve the performance and availability of IT services across multicloud and hybrid environments. BMC Helix AIOps uses monitoring, advanced anomaly detection, AI/ML-based event management and root cause isolation, open integrations, and intelligent automation to reduce the mean time to resolve (MTTR) issues and maximize service performance and availability.

Release notes and notices Updated 03 Apr 2025

Learn what’s new or changed for BMC Helix AIOps, including new features, urgent issues, documentation updates, and fixes or patches.

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Date

Summary

Reference

June 03, 2022

Enhancements included in this release:

  • Enhancements to services and service details
  • Enhancements to Situations
  • View incident details in BMC Helix ITSM

April 22, 2022

Enhancements included in this release:

  • View situations as a list
  • Group events hierarchically in a situation using event signatures
  • Perform event actions for impacted services and situations
  • Changes to noise reduction calculation
  • Launch event details in the BMC Helix Operations Management console
  • Service model and blueprint UI enhancements

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Related release notes

The following links provide updates about the integrated BMC Helix AIOps products:

Onboarding and implementing

Set up users and assign permissions, configure third-party integrations, and start monitoring key performance indicators, services, and situations.

Monitoring key performance indicators and entities

Get a consolidated health summary of key performance indicators and entities.

Monitoring service health and performing causal analysis

Monitor services to assess the service health and perform root cause isolation of impacted services.

Monitoring and investigating situations

Monitor and investigate ML-based situations for analysis and remediation.

Administering

Understand roles and permissions, enable AIOps features and notifications, model service blueprints and model services.

Remediating events for services and situations

Run automation actions to remediate open events for services and situations.

Troubleshooting

Resolve common issues or errors, review logs, or contact Support.
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