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2026 The Year of Autonomous IT

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Our observability platform proactively delivers the insights and automation CIOs need to accelerate innovation.

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Compress raw alert storms into high-fidelity, prioritized insights.

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Execute governed, closed-loop remediation across automation playbooks.

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Unify topology, telemetry, and changes into an AI-ready context layer.

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Establish traceable, secure governance boundaries for AI tool integrations.

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Infrastructure Observability Overview

Full visibility across your entire hybrid estate to eliminate tool sprawl.

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Accelerate time to innocence with deep network path and device visibility.

Server Monitoring

Track server health, OS metrics, and resource utilization across environments.

Remote Monitoring

Monitor distributed endpoints, branch networks, and remote facility health.

VM Monitoring

Maximize hypervisor performance and streamline compute capacity planning.

SD-WAN Monitoring

Keep multi-site cloud networks connected with real-time edge visibility.

Database Monitoring

Pinpoint database query bottlenecks to keep business applications fast.

Configuration Monitoring

Minimize change failure rates by tracking device configuration drift.

Storage Monitoring

Track SAN/NAS arrays, IOPS bottlenecks, and storage capacity trends.

Cloud Observability

Cloud Observability Overview

Multi-cloud and hybrid environments unified into a single operational pane.

Container Monitoring

Automated, real-time visibility for Kubernetes and ephemeral microservices.

AWS Monitoring

Track AWS services, scaling, and costs alongside on-premises data.

Google Cloud Monitoring

Monitor native GCP infrastructure, compute, and serverless resources.

Azure Monitoring

Comprehensive visibility into Azure environments, gateways, and workloads.

AI Monitoring

Track LLM infrastructure, GPU utilization, and AI application stack health.

Oracle Cloud Monitoring

Track OCI native compute, enterprise databases, and cloud storage.

SaaS Monitoring

Validate availability and workforce productivity for critical SaaS apps.

Internet Performance Monitoring

Internet Performance Monitoring Overview

Understand performance across the full stack wherever users depend on it.

Internet Health

NEW

Use global vantage points for independent validation of internet outages.

Real User Monitoring

NEW

Capture actual customer journeys and frontend performance in real time.

Synthetic Monitoring

NEW

Emulate user transactions and SaaS workflows to catch problems early.

Endpoint Monitoring

NEW

Diagnose remote workforce digital experience across devices and networks.

Digital Experience Monitoring

Digital Experience Monitoring

See every dependency, regardless of ownership or location.

Website Monitoring

Protect revenue journeys with proactive synthetic checks and uptime tracking.

CDN Monitoring

NEW

Audit edge performance and latency variance across your CDN providers.

API Monitoring

NEW

Test endpoints and third-party API reliability for critical app integrations.

Application Performance Monitoring

Connect code execution and traces directly to infrastructure health.

DNS Monitoring

NEW

Speed up time to innocence by tracking global nameserver resolution times.

DevOps Lifecycle Monitoring

NEW

Protect release velocity by validating dependencies during deployments.

BGP Monitoring

NEW

Trace global routing changes and path leaks to secure internet reachability.

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Centralize and correlate log data to resolve incidents before they escalate.

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By Business Outcome

Autonomous IT

Predictive, autonomous IT built for resilience.

Automation

Eliminate repetitive operational toil with safe, policy-governed remediation workflows.

Modernization and Transformation

Accelerate complex technology transitions while protecting core enterprise resilience.

Cloud Migration

Maintain workload performance throughout migration.

Tool Consolidation

Reduce licensing costs and data silos by replacing fragmented monitoring tools.

Cost Optimization

Lower your total cost-to-serve by finding cloud waste and underused resources.

Operational Efficiency

Maximize team capacity by reducing alert storms and shift-handoff friction.

Reduce MTTR

Shorten war-room by surfacing topology-aware probable cause in mins.

Network Reachability

NEW

Independently audit external BGP, ISP, and SaaS provider connectivity boundaries.

Edge Deployment Optimization

NEW

Monitor SLOs, compare providers, and validate cloud and edge delivery.

Web Performance Optimization

NEW

Maximize digital checkout conversions by tracking global frontend latency metrics.

Application Resilience

NEW

Safeguard business services against transaction failures and costly downtime.

Workforce Productivity

NEW

Troubleshoot remote hardware and network issues to protect productivity.

By Role

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Maximize enterprise resilience and align AI investments to measurable business ROI.

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Compress cross-domain event noise into explainable, automated ops leverage.

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Speed up releases by protecting engineering roadmaps from toil.

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Standardize incident response to reduce alert fatigue and after-hours work.

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Unify multi-cloud visibility to optimize costs and track hybrid blast radius.

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Healthcare

Protect continuity of care and EHR availability across clinical workflows.

Public Sector

Ensure mission continuity and audit readiness for citizen-facing services.

MSP

Protect service margins and scale ops using multi-tenant, AI-assisted triage.

Retail & E-commerce

Safeguard peak retail campaigns, POS uptime, and digital customer journeys.

Technology

Protect customer trust and engineering velocity with SLA-driven visibility.

Hospitality

Deliver frictionless guest experiences and keep booking engines online.

Education

Maintain always-on student portals, learning platforms, and campus networks.

Manufacturing

Prevent production downtime by unifying IT, OT-adjacent, and edge systems.

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Secure transaction trust and meet strict operational resilience compliance requirements.

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Viee of a bridge over a river leading to Cologne cathedral rising against the skyline and a blue sky

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LOGICMONITOR BLOG

Using Dynamic Thresholds to Eliminate Noise and Focus on What’s Important

Triggering alerts is only half of the picture for dynamic thresholds. The other half is using dynamic thresholds as a filter to reduce alerts to only what is immediately relevant.

2–3 minutes
December 6, 2019

IN THIS ARTICLE

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Using Dynamic Thresholds to Eliminate Noise and Focus on What’s Important

When most people hear ‘dynamic thresholds’ in the context of monitoring, they think of the ability to trigger alerts based on a non-static threshold. While this can be incredibly useful, it’s really only half the picture. 

Modern IT infrastructure is complicated – oftentimes with infrastructure spanning cloud and on-premises environments – and IT operations teams are inundated with data and alert noise for these environments. They have more information than they can meaningfully use, which leads to issues being obscured in the noise and IT operations teams spending the majority of their time reacting to problems. To fix this, and work towards preventing problems instead, these teams need something to cut through the noise and surface the most important information. Here at LogicMonitor, we believe there are two major aspects that dynamic thresholds should solve to achieve this:

  1. Cut out the noise due to thresholds that haven’t been tuned well, surfacing the important issues.
  2. Identify issues that wouldn’t be caught by traditional static thresholds.

This is why we believe that triggering alerts is only half of the picture for dynamic thresholds and that the other half is using dynamic thresholds as a filter to reduce alerts to only what is immediately relevant.

LogicMonitor’s dynamic thresholds will cover both functions identified above, starting with the first in phase one. LogicMonitor already has pre-configured thresholds set based on domain-specific best practices to ensure that meaningful alerts are triggered out of the box. With the first phase of dynamic thresholds, LogicMonitor takes this a step further by calculating an expected range for a resource’s performance, and only sending out notifications for triggered alerts that correspond to values outside of this range, thereby ensuring that alerts are only sent out for anomalies, and that teams only get notified when issues truly need their attention.

Showing Memory Usage and setting the alert threshold within the LogicMonitor Platform


There can a lot of administrative overhead required to accurately and specifically tune static thresholds for a large environment – especially if resources are utilized differently (
i.e. some are intentionally highly utilized and others not). With this first phase of LogicMonitor’s dynamic thresholds, IT operations teams can save time customizing static thresholds because a dynamic expected range is used to determine whether alerts should be routed. Alerts within the range are still displayed within LogicMonitor, but users are not notified for them. With this functionality, LogicMonitor will automatically identify the “normal” resource consumption for an intentionally highly utilized resource and only notify users of consumption that is not normal.

LogicMonitor alerts showing errors and warnings, the associated LogicModules, and thresholds.


LogicMonitor’s breadth of coverage, with over 2000 out of the box monitoring templates covering everything from the cloud to systems you’d find in a traditional on-premises environment (
e.g. servers, switches, storage arrays, etc.) to containers and the applications running within them, enables dynamic thresholds to be applied across the entire modern distributed IT infrastructure. As such, LogicMonitor’s first phase of dynamic thresholds provides IT operations teams with an easy way to eliminate noise in their complex infrastructures and focus on what’s important to drive their businesses forward. 

© LogicMonitor 2026 | All rights reserved. | All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.

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