This documentation supports an earlier version of BMC Helix Operations Management.

To view the documentation for the latest version, select 23.2 from the Product version picker.

Product overview

BMC Helix Operations Management is a part of the BMC Helix IT Operations Management (ITOM) solution and is a SaaS and an on-premises containerized solution on  BMC Helix PortalThe product offers the following advantages:

  • A cloud-native containerized microservices architecture that enables fast deployment and upgrades
  • Elastic scalability
  • Enterprise-grade high availability and performance
  • Reduced infrastructure costs that come with a SaaS deployment model
  • Large scale ingestion of events and metrics.

The solution offers a modern user experience for automated workflows to streamline monitoring and event management processes.

The following video (2:49) provides an overview of the product

With this product, you can achieve the following major goals:

  • Collect data to monitor your infrastructure environment
  • Monitor events and reduce event noise
  • Detect anomalies in the system
  • Manage maintenance windows
  • Monitor and investigate services and situations

Refer to the following table to understand the key use cases of the solution.

Use caseDescriptionReference link

Collect data

The solution collects metrics about the components that you are monitoring in your infrastructure, such as the Oracle database or the Windows operating system. You monitor the environment with the help of PATROL Agents and knowledge modules (KMs).

Collecting data
Monitoring events and reducing event noise

As an administrator, identify actionable events from a large volume of event data by processing events in various ways.

As an operator, use a centralized event view to monitor and manage events.

Monitoring events and reducing event noise

Detecting anomalies

Anomalies are observations that diverge from a well-structured data pattern or an irregular spike in the time-series data or unclassifiable data points within a specific data set. An anomaly could occur independently or due to a combination of factors. For example, the combination of slow response time and high memory utilization together may impact the expected system behavior. 

As an administrator, create alarm and variate policies to help you monitor and manage the health of your system and detect anomalies. These policies can also help you detect abnormal behavior in your monitoring data more accurately by reducing:

  • False positives: Scenarios where an alarm is raised even though the system exhibits normal behavior. 
  • False negatives: Scenarios where the product failed to raise an alarm despite the occurrence of an abnormal metric condition.

Detecting anomalies by using static and dynamic thresholds

Managing maintenance windows

The page .Managing maintenance windows vSep_2021-21.3 was not found  -- Please check/update the page name used in the MultiExcerpt-Include macro

Managing maintenance windows

Monitoring and investigating services and situations

You can monitor system health, reduce event noise, perform probable cause analysis of impacted services, and boost the remediation opportunities for services and situations in your environment. 

The key performance indicators (KPIs) provide a quick-peek summary of the overall system health status. Situations reduce event noise by dynamically aggregating events based on an event correlation policy to derive actionable insights. You can perform probable cause analysis for impacted services.

Monitoring and investigating services and situations

Was this page helpful? Yes No Submitting... Thank you