BMC Helix AIOps 22.1
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.
Learn what’s new or changed for BMC Helix AIOps, including new features, urgent issues, and documentation updates.
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Date | Title | Summary |
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March 04, 2022 | Updates available in this release:
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Feb 07, 2022 | Updates available 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. 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. |
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. | Integrate with BMC and third-party solutions to ingest events, metrics, CIs, and topology data. |
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