This documentation supports the releases of BMC Helix Service Monitoring till September 2021 (21.3.03). Documentation for later versions is available in the BMC Helix AIOps documentation space. To view the documentation, select a version from the Product version menu.

Product overview

BMC Helix Service Monitoring 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). BMC Helix Service Monitoring acts as a Manager of Managers (MoM) and collects a variety of data from various IT operation tools and devices, automatically detects and reacts to issues in real time, and provides historical analytics. It scales, optimizes, and automates the entire IT Operation functions.

Related topics

Onboarding-and-implementing

Data-providers-for-BMC-Helix-Service-Monitoring

Roles-and-permissions

Enabling-the-AIOps-features

Monitoring-key-performance-indicators-and-entities


The following video (5:00) provides an overview of BMC Helix Service Monitoring.

icon_play.png https://youtu.be/7CYyrrC0VF4


BMC Helix Service Monitoring capabilities

Monitors the key performance indicators (KPIs) for providing a quick-peek summary of the overall system health status by displaying the following widgets:

Monitors situations and provides the ability to:

  • Dynamically aggregate events based on event correlation policy to derive actionable insights
  • Investigate the aggregated events.
  • Reduce the event noise.
  • Improve the mean-time-to-resolve (MTTR) issues based on the situation-driven workflow.
  • Lower the mean-time-to-detect or discover (MTTD) and the time required for investigating tickets.

Monitors the service health using the following options:

  • Comprehensive health timeline for predefined time ranges.
  • Probable cause analysis impact of causal entities
  • Impactful events and change requests.
  • Topology maps showing the relationship between services and nodes.
  • Metrics data graphs.

Integrates third-party sources and ingests data such as events, devices, metrics, and topology to do the following:

  • Analyze information from various BMC Helix components, such as BMC Helix Operations Managementand BMC Helix Discovery.
  • View the health of the impacted entities.

Monitors the ML-based situations and service impact analysis powered by the AIOps features to do the following:

  • Dynamically correlate and cluster events to reduce event noise
  • Apply knowledge graph and AI/ML algorithm to perform root cause isolation of impacted services
  • Compute the root cause score of each causal event
  • Rank the root causal nodes based on the ML-based situations and causal events for a selected time line
  • Build and view the topology and metric analysis of impacted services

Enables connection with BMC Helix Intelligent Automation to:

  • Perform event-driven remediation actions for open events and situations
  • Request for 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


 

Tip: For faster searching, add an asterisk to the end of your partial query. Example: cert*