AIOps

Machine learning and artificial intelligence provides an Early Warning System for IT operation teams; powered by LM Intelligence.

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The AIOps Early Warning System

LogicMonitor’s Early Warning System will detect the warning signs and symptoms that precede issues, such as patterns or anomalies in alerts or performance data, and warn users accordingly. These early warnings will be able to trigger actions, such as integrations and custom scripts, to prevent issue occurrence. By warning users sooner, this Early Warning System will help enterprises prevent outages, saving them time, money, and avoid negative impact on their brands.

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The future of IT operations is now

At LogicMonitor, we believe technology should enable businesses to see what’s coming before it happens. For engineers, this includes spending less time troubleshooting and more time innovating. LogicMonitor’s LM Intelligence will deliver AI and machine learning that provide context, meaningful alerts, illuminate patterns and enable foresight and automation.

Dynamic Thresholds

LogicMonitor has pre-configured thresholds set based on domain-specific best practices to ensure that meaningful alerts are triggered out of the box. With dynamic thresholds, LogicMonitor takes this a step further by calculating an expected range for a resource’s performance, and only sends out notifications for triggered alerts that correspond to values outside of this range, thereby ensuring that alerts are only sent out for anomalies for that specific resource.

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Root Cause Analysis

With root cause analysis, LogicMonitor uses automatically discovered relationships between monitored resources to identify the root cause for triggered alerts and notify users of the originating issue, while preventing notifications for dependent resources in alert. When a core or root device goes down affecting connectivity for downstream devices, Root Cause Analysis (RCA) will identify the originating and dependent resources and subsequent alerts and disable notifications for dependent resources.

Watch the Root Cause Analysis demo video!

The benefits of AIOps

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Increase IT efficiency

Customizing thresholds can be time-consuming & difficult for large environments. With dynamic thresholds, we’ll ensure that alerts are only sent for anomalies, eliminating the need for manual management of monitoring & enabling you to increase your monitoring ROI.

Maximize performance

Dynamic thresholds enable teams to understand expected performance and where performance deviates from what’s normal & needs attention. At the same time, teams can ensure that they aren’t receiving alerts for optimized machines that are regularly highly utilized.

Rapidly identify issues

Users are only notified for the root cause issue allowing them to focus on what’s important without getting overwhelmed by dependent side-effect issues.

Improve MTTR

Alert notifications that identify the root cause and filterable in-app alert data enable your team to zero in on resources that play a key role in outages & more quickly identify and resolve issues.

Prevent downtime

The AIOps early warning system will detect the warning signs and symptoms that precede issues, such as patterns or anomalies in alerts or performance data, and warn users accordingly. These early warnings will be able to trigger actions, such as integrations and custom scripts, to prevent issue occurrence.

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Enable digital transformation

Modern enterprises going through digital transformation can’t afford for traditional monitoring to slow them down and prevent them from fully realizing the benefits that digital transformation enables. These enterprises need monitoring that is intelligent enough to help prevent failures across their entire complex and distributed infrastructures.

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Using LogicMonitor’s AIOps Early Warning System, you can easily see and understand potential issues in the system and be more proactive in resolving them. This is a great feature that is helpful in many use cases across IT infrastructures.

Idan Lerer

Sr. Director, US Operations at OptimalPlus

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