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Monitoring and investigating situations

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Monitoring and investigating services and situations

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BMC Helix AIOps correlates events collected from multiple sources into situations. These sources could be infrastructure, applications, network resources, and monitoring solutions from different vendors. The events from the same or different hosts are correlated based on their occurrence, message, signature, topology, or a combination of these factors.

Situations created based on the event policies in BMC Helix Operations Management are known as policy-based situations. Situations created by using AI/ML algorithms are known as ML-based situations.

BMC Helix AIOps can analyze hundreds of thousands of raw events in near real-time to create ML-based situations. 

Some of the major benefits of ML-based situations are:

reduce_event_noise_icon.gif Advanced noise reduction, faster MTTR, better service visibility, and impact identification beyond service context

  • The AI/ML algorithm uses an event signature to analyze topological and temporal relationships to create situations in the context of the impacted services.

  • BMC Helix AIOps uses advanced configuration settings to determine the event aggregation window and groups situations into primary, related, and similar situations.

  • Correlation of events from multiple, topologically connected services that impact each other provides a broader view of the issue. Identification of root cause outside the service boundaries accelerates root cause detection.

gen_AI.gif Agentic AI capabilities that help investigate and resolve situations by connecting with BMC HelixGPT

  • BMC Helix AIOps displays a natural-language summary of the situation that helps reduce the cognitive load of the operators or site reliability engineers (SREs) investigating it. 

  • The Deep RCA capability automatically identifies the precise root cause by executing change and log AI agents in parallel, delivering faster and more accurate resolution of situations and significantly reducing MTTR.

  • Operators or SREs use the BMC Helix AIOps Swarmer AI agent with Microsoft Teams, powered by BMC HelixGPT to help investigate and resolve situations. 

analyze_root_cause.gif Direct path to the probable or root cause of the impact across services

  • The algorithm analyzes, ranks, and displays the topmost situations.

  • By correlating events across multiple interconnected services, situations help identify root causes that might impact several services, ensuring a more accurate and efficient method of resolution.

  • A cross-launch link from the situation to the impacted service helps with the root cause analysis.

1_remediate_and_automate_icon.png Automated remediation

BMC Helix AIOps provides the ability to remediate situations manually or automatically by connecting to BMC Helix Intelligent Automation. 

The following diagram shows a high-level process for managing situations in BMC Helix AIOps:

managing_situations253.png

Learn about the advanced monitoring and analytical capabilities by using the topics listed in the following table: 

Action

Reference

Learn about types of situations, situation groups, best action recommendations, log insights, and incidents for situations.

Monitor independent, primary, and similar situations.

View and investigate:

  • Independent and similar situations

  • Multi-service situations

  • Primary situations

Identify the root cause by using Deep RCA and best action plans
View AI-generated best action recommendations and log insightsViewing best action recommendations and log insights

Perform actions on situations or on the events within a situation. 

Use the Ops Swarmer agent with Microsoft Teams to help resolve situationsUsing the BMC Helix Ops Swarmer agent with Microsoft Teams to help resolve situations

 

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