BMC Helix AIOps 24.3
BMC Helix AIOps 24.3
BMC Helix AIOps reduces the mean time to resolve issues and maximizes service performance and availability by using tools that include monitoring, advanced anomaly detection, AI/ML-based event management and root cause isolation, open integrations, and intelligent automation.
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 multi-cloud and hybrid environments.
Date | Summary | Reference |
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August 16, 2024 | Enhancements included in this release:
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July 10, 2024 | Enhancements included in this release:
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May 15, 2024 | Reduce incident noise by consolidating incidents for ML-based situations | |
April 10, 2024 | Enhancements included in this release:
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Related release notes
The following links provide updates about the integrated BMC Helix AIOps products:
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. Assess the service health, do root cause analysis, and discover health insights. Monitoring and investigating situations Monitor and investigate ML-based situations for faster analysis and remediation. Predicting and proactively resolving service outages Predict service outages that help in identifying and fixing issues before they happen. |
Understand roles and permissions, enable AIOps features and notifications, model service blueprints, and model services. | Remediating services and situations Run automation actions to remediate open events for services and situations. |
Get a list of all the videos and a PDF version of the BMC Helix AIOps documentation. |