AIOps platform

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.

Without Datapoint Analysis, ITOps teams must manually correlate metrics across various resources. Datapoint Analysis automates metric correlation so teams can get to the root cause faster than ever before.

For example, if CPU on a VM is spiking, Datapoint Analysis can show you what other metrics were showing similar behavior immediately before and during the incident. For instance, perhaps memory or network traffic spiked across different VMs. This helps you get to a common root cause faster.

Increase IT Efficiency and detect issues sooner. Before an issue becomes catastrophic, Dynamic Thresholds can warn you so you can take preventive measures.

Dynamic thresholds use anomaly detection algorithms to detect a resource’s expected range based on past performance and limit alert notifications to those that correspond to values outside of this range (i.e. anomalies). Dynamic thresholds also reduce noise where static thresholds aren’t tuned well, so you can ensure your team is focusing on what’s really important.

Forecasting helps you proactively prevent issues, budget plan and manage resources so you can prevent downtime and keep your business services operating efficiently. Predict the health and performance of your critical infrastructure and determine whether an issue represents a one-time anomaly, requires immediate attention, or will require attention in the near future.

With Dependent Alert Mapping, LogicMonitor uses automatically discovered relationships between monitored resources to identify the root cause for triggered alerts and notify users of the originating issue, while suppressing notifications for dependent resources in alert. When a core or root device goes down affecting connectivity for downstream devices, Dependent Alert Mapping will identify the originating and dependent resources and subsequent alerts and disable notifications for dependent resources.

Many teams struggle with too many alerts, especially when the same alerts are repeatedly created. LogicMonitor’s new Edwin AI product, clusters alerts using AI-driven methods across time, infrastructure and other items to convert hundreds of alerts into a single episode, which can be used to automatically open an incident in ServiceNow and get enriched with ServiceNow CMDB information to accelerate troubleshooting.