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Agentic AIOps

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3000+ Integrations

WebPageTest Web Performance

Test, compare, and optimize website speed, Core Web Vitals, and performance across real devices and global locations.

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2026 The Year of Autonomous IT

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About LogicMonitor

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

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Meet the leaders building the future of observability and AI.

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Agentic AIOps

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Autonomously detect, diagnose, and resolve issues across your environment.

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Turn fragmented cross-domain event noise into explainable, guided action.

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Deploy specialized AI agents to handle investigation across the incident lifecycle.

Event Intelligence

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

AI Automation

Execute governed, closed-loop remediation across automation playbooks.

ITOps Context Graph

NEW

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

MCP

NEW

Establish traceable, secure governance boundaries for AI tool integrations.

Infrastructure Observability

Infrastructure Observability Overview

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

Network Monitoring

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.

Cloud Cost Optimization

Optimize cloud spend, maintain performance, and control budgets.

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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Correlate contextual log data with metrics to speed up root-cause analysis.

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.

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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.

CloudOps

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

By Industry

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.

Financial Services

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

How to Monitor Kubernetes Without an Agent on Every Node

When it comes to monitoring Kubernetes, LogicMonitor’s agentless approach enables you to comprehensively monitor your cluster and the health and performance of the resources within without requiring an agent on every node. Find out how to bypass the hassle of node-based agents in our most recent blog post.

2–3 minutes
December 5, 2018

IN THIS ARTICLE

NEWSLETTER

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LogicMonitor is an agentless monitoring solution. What we really mean by “agentless” is that we don’t require an agent on every monitored server (physical or virtual). One LogicMonitor Collector – a lightweight application that takes just seconds to install – can monitor hundreds or even thousands of devices, including servers, virtual machines, network switches, storage systems, cloud resources, containers, and more. As an agentless solution, LogicMonitor is easier to set up than a traditional agent-based monitoring (because you only have one lightweight app to install), and takes fewer IT cycles to manage over time (e.g. because you don’t have to worry about maintaining consistent versions across agents). When it comes to monitoring Kubernetes, LogicMonitor’s agentless approach enables you to comprehensively monitor your cluster and the health and performance of the resources within without requiring an agent on every node.

LogicMonitor’s Kubernetes Monitoring relies on two primary applications for monitoring:

  1. An application, Argus, running in the cluster for discovery
  2. A Dockerized LogicMonitor Collector running in the cluster for data collection

The first application, Argus, runs as one pod and uses event-based discovery alongside LogicMonitor’s API to ensure monitoring is always up to date with what is running in the cluster. The second application, LogicMonitor’s Collector, collects data for Kubernetes nodes, pods, containers, and services via the Kubernetes API, as well as more traditional protocols like SNMP or JMX, to ensure that cluster resource performance and health are comprehensively monitored. In all, these two pods running in your cluster is all that is required to start monitoring Kubernetes with LogicMonitor.

A diagram of how LogicMonitor’s Kubernetes monitoring works, including components necessary for discovery and monitoring.

Although running an agent on every node in a Kubernetes cluster can be made easier, for example by using a daemon set, there are also disadvantages with using agent-based monitoring for cluster architectures relying on master and worker relationships. The Kubernetes Master handles orchestration and scheduling. It is important to monitor the master components (i.e. kube-apiserver, kube-scheduler, controller-manager), to ensure the desired state of the cluster is enforced. However, with agent-based monitoring, you’ll likely end up with multiple data collection requests to these master components – one for each agent. As a result, agent-based can be overly taxing on the Kubernetes Master, in addition to being more difficult to configure and manage.

In addition to being agentless, LogicMonitor has comprehensive metrics for Kubernetes nodes, pods, containers, services, master components, and common applications, so you get instant visibility into your cluster’s health and performance. Pre-configured alert thresholds mean you get out-of-the-box monitoring and alerting. Data is retained at the granularity at which it is collected for up to two years, which enables you to have long-term visibility into the performance of your applications.

A LogicMonitor Dashboard displaying metrics for Nodes, Pods, Containers, and Services in a Kubernetes Cluster.

With LogicMonitor, you can get comprehensive Kubernetes monitoring without the hassle of node-based agents. Sign up for a free trial today!

 

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

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