BMC Helix operations management uses service-centric monitoring, advanced event management, root cause isolation, and intelligent automation to improve performance and availability.
Predictive IT with AIOps, machine learning, advanced analytics, and automation
Open integrations ingest metrics, events, and topologies from third-party solutions for extensive visibility
Dynamic service modeling generates a topology view of services that is leveraged for service-centric monitoring and root cause isolation
Service-centric monitoring delivers continuous visibility into the state of business services
Intelligent analytics detects trends, patterns, and anomalies and sends predictive alerts before baselines are breached
AI and ML-driven event correlation, situation management, and root-cause isolation for reduced MTTR Intelligent automation identifies opportunities for
Intelligent automation identifies opportunities for automated corrective action
Service-centric probable cause analysis
Service-centric monitoring with heat map visualization
Multivariate anomaly detection
AIOps overview dashboard
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Winner of the 2021 AI Breakthrough Award
Proactively increase service performance and availability
Intelligently manage operations across complex IT environments
Behavioral Monitoring
For proactive problem identification
Intelligent anomaly detection (univariate or multivariate) triggers events and notifications based on one or more metrics behaving abnormally
Proactive notification of issues enables corrective action before service impact
Network event monitoring using Entity.
Advanced Event Management
Analyze and manage events for follow-up corrective action
Easily create and edit customized policies to control and manage events, reduce unnecessary event noise, and take corrective action
Ingest external events by leveraging open RestAPIs to import data from third-party monitoring solutions
Consolidate internal and external events and metrics into a single view, providing the breadth and depth of visibility needed to analyze large groups of events and rapidly determine root cause
Use machine learning to find outliers and hard-to-detect problems to proactively identify events, avoid downtime, and speed MTTR
AIOps
Intelligence, machine learning, analytics, and automation for proactive operations management
Open Integrations: Ingest events and topologies from third party solutions using out-of-the-box adapters to maximize visibility and coverage
Dynamic Service Models: Datastore that crosses the BMC Helix Platform and uses a rules-based engine to correlate, analyze, and combine data into unified topology view for search and impact analysis
AI/ML-based Situation Monitoring: Intelligently correlate and group events to reduce event noise, gain visibility, and improve MTTR
Service-Centric Monitoring: Provides a view of the state of key services with visualizations including heat maps and tile views with drill-down capabilities to root cause
AI/ML-powered root cause isolation: Identify the root cause of a potential service impact with an analysis that includes events, metrics, and topology to speed corrective action
Intelligent Automation: Use a policy and event-driven automation broker to identify opportunities for automated corrective action
Rich Dashboards
Persona-based dashboards for rich visualizations
Transform data into actionable information using BMC Helix Dashboards
Enable visualization of events and metrics using advanced analytics
Transform data queries into easy-to-understand visualizations using custom or out-of-the-box display formats
Provide cross-launch drill-down capabilities
Allow multi-tenancy with full, role-based access control
Use out-of-the-box panel plug-ins for new and expanded data visualizations