Orientation

BMC Helix AIOps reduces the mean time to resolve (MTTR) 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.

Product overview

In modern SaaS-enabled environments, organizations need to ensure that their key business services are performing at optimum levels, with minimal downtime.

To ensure that these business services perform at optimum levels, organizations must be able to:

Monitor and observe the key health vitals or parameters for services
Observe service performance and availability
Look for warning signs or identifying causes for performance degradation
Understand the context where the problem occurred

BMC Helix AIOps helps organizations achieve these goals by using AI/ML-powered algorithms to not only to understand the health, performance, and availability of services, but also enable them to comprehensively investigate the probable and root causes of the impact on services.

With its advanced capabilities, BMC Helix AIOps provides additional insights into the following areas:

Root cause isolation based on service-centric event correlation
End-to-end topology mapping of configuration items (CIs) of a service
Upstream and downstream impact hierarchy and key resource metric analysis
Service health insights to determine the impact pattern and behavior of a service

The following video (2:11) provides a high-level introduction into the benefits of using BMC Helix AIOpsfor your IT Operations use cases:

_{https://youtu.be/x2HMmgOJthQ}

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The following diagram illustrates the key features and capabilities of the product at-a-glance:

Product features

The following table describes the features and capabilities in BMC Helix AIOps:

Feature	Capabilities
Health performance summary	Monitors the key performance indicators (KPIs) for providing a quick-peek summary of the overall system health by displaying the following widgets: Total events, anomalies, and incidents from the integrated monitoring systems Average mean time to resolve (MTTR) the incidents Overall event noise reduction score Top five impacted services based on the severity, number of events, health score, and event trend Top five situations identified from events, their event count, and the total event count
Service health monitoring and causal analysis	Monitors the service health and provides the ability to: View the comprehensive service health timeline for selected time ranges Apply knowledge graph and AI/ML algorithms to perform root cause isolation of impacted services Rank the causal nodes based on the ML-based situations and causal events for a selected health timeline Build and view the topology and metric analysis of impacted services
Service outage prediction and proactive resolution	Predicts service outages proactively to: Prevent service failures using the AI-based service-centric prediction, which uses the health indicators and metrics from multicloud and hybrid IT environments Contain smaller issues from becoming larger problems, prevent service outages, take timely actions, and focus on key value drivers Help organizations to maximize the IT performance and save the time and cost required to manage IT environments. Identify and fix issues before they happen Reduce the overall mean time to resolve an issue
Service Health Insight monitoring	Monitors service health insights to view the patterns, behavior, and trend of the service impact for a period of 15 days to: Derive insights for health score and incidents Discover the severity pattern Discover insights for Major and Critical events
Situations monitoring	Monitors situations and provides the ability to: Dynamically aggregate and cluster events to by using AL/ML-based event processing techniques to derive actionable insights Investigate the aggregated events Compute the root cause score of each causal event Reduce the event noise Improve the mean-time-to-resolve (MTTR) the causal issues based on a situation-driven workflow Lower the mean-time-to-detect or discover (MTTD) and the time required for investigating tickets
Modeling-service-blueprints	Defines service blueprints with a set of rules that are used to: Create rule-based, pluggable templates that contain various parts of a service model Configure new service models by adding blueprints to be able to handle dynamic content Identify the elements of a business service when the matching conditions occur Automatically update the data changes to keep the service model up to date.
Modeling-services	Builds service models that are used to: Represent a business service or hierarchy of business applications Monitor the business service and its elements for health, performance, and availability.
BMC Helix Intelligent Integrations	Integrates with multiple, out-of-the-box sources such as Aternity and Dynatrace and ingests data such as events and topology from them to do the following actions: Analyze information from various BMC Helix components, such as BMC Helix Operations Managementand BMC Helix Discovery View the health of the impacted entities
BMC Helix Developer Tools	Integrates with TrueSight Operations Management out of the box, and enables you to configure custom integrations for the products for which the out-of-the-box integrations are not available. Ingests data such as events and topology to do the following actions: Analyze information from various BMC Helix components, such as BMC Helix Operations Managementand BMC Helix Discovery View the health of the impacted entities
Remediating-events-for-services-and-situations	Enables connection with BMC Helix Intelligent Automation to: Perform event-driven remediation actions for open events and situations Request automation policies to remediate open events and situations Cross-launch in to BMC Helix Intelligent Automation to create automation policies that appear as remediation actions

Product roles

By default, BMC Helix AIOps provides default roles that can perform certain capabilities based on the product role. For more information, see Roles-and-permissions.

The following table briefly describes the roles available for BMC Helix AIOps:

User role	Product capabilities
	View services and individual service details View probable or root cause analysis View CI topology and service hierarchy View service health insights View service predictions View and manage situations Run and request automations
	View services and service predictions Create and modify service models Create and modify service blueprints Run and request automations
	Manage roles and permissions View all pages in BMC Helix AIOps Enable the advanced AIOps features Enable situations to aggregate events Create automation policies in BMC Helix Intelligent Automation

Product documentation

BMC Helix AIOps documentation helps new and experienced users implement and use this product.

Use the links listed in the following table to quickly find information to get started working with the product according to your role:

Role	Goal	Where to go
Tenant Administrator	To manage roles and permissions	Roles-and-permissions
	To set up the product and onboard	Setting-up-and-going-live
	To enable the AIOps features	Enabling-the-AIOps-features
	To enable situations to aggregate events	Configuring-ML-based-situations
Service Designer	To create and modify service blueprints	Modeling-service-blueprints
Service Designer	To create and modify service models	Modeling-services
Operator	To view the quick summary of health, performance, and availability	Monitoring-key-performance-indicators-and-entities
	To view the service health, availability, and performance and individual service details	Monitoring-service-health
	To view service outage predictions	Predicting-and-proactively-resolving-service-outages
	To view root cause isolation and metrics	Performing-causal-analysis-of-impacted-services
	To view CI Topology	Identifying-the-impacted-CI-nodes-from-CI-topology-view
	To view service hierarchy	Investigating-the-service-nodes-from-service-hierarchy-view
	To view service health indicators	Monitoring-service-health-indicators
	To view service health insights	Monitoring-service-insights
	To view situations and investigate situations	Monitoring-and-investigating-situations
All	To view the frequently asked questions about the product.	FAQ
All	To view the PDF or videos available for the product.	PDFs-and-videos

Orientation

Product overview

Product features

Product roles

Product documentation

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