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BMC Helix Operations Management with AIOps

The open, scalable cloud observability and AIOps solution for today…and tomorrow

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Video:

BMC Helix Operations Management Overview

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weißes Papier:

Harnessing the Power of AI Across Service and Operations Management

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Analystenforschung:

Forrester WaveTM: Process-Centric AI For IT Operations (AIOps), Q2 2023

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BMC Helix Operations Management is a fully integrated, cloud-native, observability and AIOps solution designed to tackle challenging hybrid-cloud environments.

Take a service-centric approach to observability data for truly effective AIOps

  • Combine 3rd party observability data such as metrics, events, logs, incidents, changes and topologies into a central IT data store
  • See service health and enable best-in-class root cause isolation via auto-generated dynamic business service models
  • Improve signal-to-noise ratio with AI event suppression, de-duplication, and correlation to create actionable situations
  • Gain immediate root cause isolation through AI probability assignments to causal nodes using data and service models
  • Prevent issues before they occur with Business Service Health monitoring and AI outage prediction
  • Troubleshoot rapidly with log enrichment and analytics
  • Easily request and execute automations from BMC or 3rd party tools
  • Service-centric probable cause analysis
    Service-centric probable cause analysis
  • Service-centric monitoring with heat map visualization
    Service-centric monitoring with heat map visualization
  • Multivariate anomaly detection
    Multivariate anomaly detection
  • AIOps overview dashboard
    AIOps overview dashboard

Winner of the 2021 AI Breakthrough Award

Winner of the 2021 AI Breakthrough Award

A Leader in Forrester’s Wave™: Process-Centric AI For IT Operations (AIOps), Q2 2023

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Fully integrated, cloud-native, observability & AIOps solution

Get real-time visibility into your business service models

BMC Helix Monitor Advanced Event Management
  • Resolve inconsistencies between topology reports with a unified model that makes data actionable
  • Establish an authoritative source of truth across traditional data centers, public clouds, and container environments
  • Take action quickly with system health dashboards that deliver at-a-glance insights tailored for specific roles
  • Plan ahead with intuitive, visual models of resources and their dependencies

Scale operational effectiveness with an artificial intelligence for IT operations (AIOps) toolkit that leverages best-of-breed algorithms, domain knowledge, observability data, and service models

BHOM for Web Root Cause Isolation
  • Speed up response times by automatically grouping redundant alerts into actionable situations
  • Quickly understand the underlying causes of issues with AI-driven root-cause analysis
  • Prevent service outages and degradation with proactive alerting capabilities
  • Forecast future business conditions and workload capacity impact so you can plan ahead with confidence 

Realize the full value of automation using BMC or third-party tools

BMC Helix Monitor Dashboard
  • Automated triage and remediation actions available to IT Operators within the AIOps console
  • Proactive remediation automatically triggered on event criteria
  • BYO automation tool or use BMC
  • One-click automation requests with business value tracking of automation effectiveness
 
E-book:

A systematic, automated approach to distributed operations data

Intelligent Integration
  • Ingest metrics, events, and topology data from multiple sources
  • Automated data reconciliation capability helps in deriving actionable insights
  • Ease of management results in reduction of costs & manual maintenance of data transfer scripts
  • Derive actionable insights from ingested data

Turn log data into actionable insights for your business

Turn log data into actionable insights
  • Streamline log management with open-source technology that consolidates log ingestion from multiple sources into one centralized platform
  • Enhance log analysis with enrichment capabilities that add relevant context from public data sources
  • Utilize static thresholds to set alert and event policies that target specific conditions of interest 
  • React to changing conditions before they impact the business with machine learning-powered anomaly detection
  • Quickly understand the underlying causes of issues with AIOps-driven root-cause analysis 

Sneak peek: See how AIOps finds problems quickly and proactively, so you can get to work.

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