Comprehensive traffic monitoring

Analyze and visualize traffic flows to optimize network performance and resource allocation.

  • Monitor traffic using industry-standard flow protocols, including NetFlow, sFlow, J-Flow, and IPFIX
  • Identify top talkers, bandwidth usage, and traffic patterns across your network
  • Gain real-time visibility into traffic distribution to prevent bottlenecks and optimize performance

Proactive troubleshooting with Root cause analysis

Resolve network issues faster with deep-dive traffic analysis and actionable insights.

  • Pinpoint bandwidth hogs and unusual traffic spikes to address issues proactively
  • Diagnose and resolve bottlenecks before they impact critical operations
  • Leverage detailed traffic data to quickly identify and mitigate root causes of anomalies

Customizable dashboards and alerts

Tailor monitoring views and notifications to fit your team’s specific needs.

  • Build custom dashboards to track key metrics like top conversations and protocol usage.
  • Configure intelligent alerts to notify you of traffic irregularities and performance deviations.
  • Visualize critical data in real-time to stay ahead of potential issues and maintain peak efficiency.

Enhanced security and compliance

Protect your network and meet compliance standards with detailed traffic insights.

  • Detect unusual traffic patterns to identify potential threats and security risks
  • Use detailed flow data to enforce security policies and ensure compliance with regulations
  • Monitor traffic logs to safeguard sensitive data and prevent unauthorized activity

TRUSTED BY LEADING COMPANIES

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Sign up with your 14 day free trial

Try LogicMonitor for free, or get in touch with an expert for a custom demo of the platform

Frequently asked questions

What types of traffic protocols does LogicMonitor support for network analysis?

LogicMonitor supports a range of protocols, including NetFlow, sFlow, J-Flow, and IPFIX, to analyze network traffic comprehensively.

How does network analysis help improve performance?

Network analysis provides real-time insights into traffic patterns, bandwidth usage, and bottlenecks, enabling IT teams to resolve issues quickly and optimize resources.

Can I customize dashboards for my specific monitoring needs?

Yes, LogicMonitor allows users to create tailored dashboards and configure metrics to monitor critical network data effectively.

How does LogicMonitor enhance network security?

By analyzing traffic flows, LogicMonitor identifies anomalies, unusual patterns, and potential threats, helping IT teams prevent security breaches and maintain compliance.

Breakout Sessions

The modern data center revolution

Discover how LogicMonitor supports modern data center observability as AI and IT converge—helping you scale across hybrid environments while balancing performance, cost, and energy efficiency.
The modern data center revolution

Get to know LM Envision

Explore the power of the LM Envision platform—correlating logs, metrics, and AI-driven alerts to give you a unified view of your hybrid cloud environment.
Get to know LM Envision

Supercharge your incident response with Edwin AI

Struggling with alert noise and false positives? Discover how Edwin AI leverages agentic AIOps to cut through the noise, pinpoint root causes, and accelerate resolution—boosting team productivity and transforming incident management.
Supercharge your incident response with Edwin AI

Reduce workload migration risk

Cloud migrations come with risk. See how LogicMonitor helps validate performance, reduce downtime, and ensure smooth transitions across environments like VMware to AWS.
Reduce workload migration risk

Make sense of your environment with Resource Explorer

Managing complex hybrid IT environments can be challenging—LogicMonitor’s Resource Explorer simplifies it with a centralized view to organize, visualize, and troubleshoot resources across your infrastructure.
Make sense of your environment with Resource Explorer

Why metrics and logs are better than PB & chocolate

Like peanut butter and chocolate, logs and metrics are better together—combine them in a unified workflow to quickly understand not just what happened, but how and why it did.
Why metrics and logs are better than PB & chocolate

Manage cloud costs without sacrificing performance

Cloud costs are rising—LogicMonitor helps you stay ahead with AI-powered cost-saving recommendations for AWS and Azure, giving you visibility, performance assurance, and optimized resource use across your environments.
Manage cloud costs without sacrificing performance

Getting Started with LogicMonitor APIs: Automate, Integrate, and Simplify

Discover how to leverage LogicMonitor’s powerful REST API ecosystem to streamline your monitoring workflows and reduce manual tasks.
Getting Started with LogicMonitor APIs: Automate, Integrate, and Simplify

Troubleshooting your wireless networks for great customer and employee experience

In a constantly connected world, user experience depends on reliable wireless networks. Learn how LogicMonitor helps you proactively monitor and optimize Wi-Fi performance across all locations.
Troubleshooting your wireless networks for great customer and employee experience

Driving your sustainability reporting and compliance goals with data

With CSRD now in effect, companies must report on sustainability by 2025. See how LogicMonitor helps you measure, track, and report environmental and social impact with ease.
Driving your sustainability reporting and compliance goals with data

Seeing the forest: Shifting to Service Level Insights

Tired of chasing alerts that don’t reflect true service health? Learn how LogicMonitor’s Service Insights gives you a clear, contextual view of service performance over time.
Seeing the forest: Shifting to Service Level Insights

Application Visibility for ITOps

Hear best practices and feedback on Application Visibility that help shape LogicMonitor’s roadmap for deeper app insights.
Application Visibility for ITOps

Why are we still handling IT incident response like it’s 2014?

Every day, ITOps teams are flooded with alerts, spread thin across hybrid systems, and stuck trying to stitch together visibility from solutions that don’t talk to each other. The incidents keep coming, but the tools aren’t getting smarter—and the humans are burned out.

Even with best practices in place, response is often slow, inconsistent, and reactive. You chase symptoms instead of solving problems. You escalate what you can’t decode. And too often, the same issue reappears because the system didn’t learn anything from the last one.

That’s not a people problem; it’s a process problem. And more importantly, it’s a tooling problem.

Manual triage isn’t built for modern infrastructure. Neither are static playbooks or black-box monitoring platforms. What’s needed now is a system that can observeanalyze, and act—with enough context to actually help.

Agentic AIOps makes that shift possible. Edwin AI puts it into practice.

What is incident response?

Incident response is the process ITOps teams follow to detect, investigate, and resolve issues that disrupt normal operations—like outages, performance slowdowns, system errors, or unexpected behavior.

The goal is simple: restore service quickly and prevent the issue from happening again. But in practice, incident response often involves multiple steps and stakeholders, including alert monitoring, root cause analysis, ticketing, escalation, communication, and documentation.

It’s a critical function for keeping systems stable, minimizing downtime, and protecting the business from costly disruptions.

Traditionally, incident response is reactive and manual—driven by processes, playbooks, and on-call rotations. As systems grow more complex, many IT teams are shifting toward automated and intelligent approaches that can help them respond faster and with greater accuracy.

What is an IT incident response plan?

An incident response plan is a documented strategy that outlines how your ITOps team will detect, respond to, and recover from system issues or disruptions.

It typically includes:

The goal of an incident response plan is to make sure your team can act quickly and consistently, even under pressure. It helps reduce downtime, improve response time, and avoid repeated mistakes.

Who handles incident response?

Incident response is typically handled by a cross-functional team that includes people with different areas of expertise. Who gets involved depends on the size of the organization and the severity of the incident, but common roles include:

Regardless of structure, the goal is the same: restore service fast, limit impact, and prevent the issue from recurring.

Phases of the incident response life cycle

Incident response is about having a consistent, repeatable process to handle problems efficiently. Most IT teams follow a version of the same core life cycle, whether the issue is a server crash, a misconfigured service, or a performance bottleneck.

Here are the 6 key phases:

1. Detection and alerting

Goal: Spot the incident quickly and trigger a timely response.

The process starts when a system identifies something unusual, such as a spike in latency, a failed service, or a critical error. This might come from monitoring tools, logs, or user reports.

2. Triage and prioritization

Goal: Decide what to fix first—and fast.

Once an alert is triggered, the team assesses its severity. Is it impacting users? Is it isolated or spreading? The goal is to filter signals from noise and focus on what matters most.

3. Investigation and diagnosis

Goal: Find out what’s actually broken and why.

Next, the team works to understand the root cause. That usually means digging into logs, checking system dependencies, and comparing changes or configurations across environments.

4. Containment and resolution

Goal: Stop the bleeding and restore service.

With the cause identified, the team takes action. This could mean restarting services, rolling back code, fixing a configuration, or applying a patch—whatever it takes to get systems back to normal. “Bleeding” here isn’t just metaphorical; it can mean real-world disruptions like delayed patient care, halted payment processing, or critical workflows grinding to a halt. The priority is to minimize impact and restore normalcy as fast as possible.

5. Communication and coordination

Goal: Keep everyone aligned and in the loop.

Throughout the process, teams need to keep stakeholders informed, whether that’s internal leadership, affected users, or customer support teams. Clear, timely updates help manage expectations and reduce chaos.

6. Post-incident review

Goal: Turn incidents into insights.

After resolution, there’s a chance to step back and learn. What caused the issue? How fast did we respond? What can we improve for next time? This stage is where teams build muscle memory and reduce repeat problems.

Modern IT teams are also automating many of these steps—especially triage, diagnosis, and even early-stage resolution—with solutions that bring intelligence into the response flow. (More on that next.)

Use Edwin AI for incident response 

That shift toward intelligent automation is where Edwin AI fits in.

Built specifically for IT operations, Edwin is the AI agent for ITOps. But behind that single interface is something more powerful: a system of specialized agents working together in real time. Each one is designed for a specific task—triage, correlation, root cause analysis, resolution—and they operate as a coordinated team, not a monolith. 

To your team, Edwin feels like one expert. But under the hood, it’s many—working in sync to analyze data, surface insights, and take action with speed and precision. It’s designed to take on the most manual, time-consuming parts of incident response—triage, correlation, root cause analysis—and automate them with speed and context.

Instead of flooding teams with disconnected alerts, Edwin AI connects the dots. It ingests data across your stack—logs, metrics, config data, tickets, change events, etc.—and analyzes that info in real time to surface the problems that matter most, along with what’s likely causing them and what to do next.

Edwin AI is about improving consistency, reducing escalation, and helping teams respond to incidents with more confidence and less guesswork. In environments where manual IT incident response is no longer sustainable, Edwin AI helps teams move faster, with fewer mistakes—and fewer surprises.

What sets Edwin AI apart from traditional AIOps products

Edwin AI doesn’t just detect that “something’s wrong”—it tells you what’s wrong, why it’s happening, whether it’s happened before, and what to do about it. All in near real-time, without waiting for a human to parse logs or search past tickets.

CapabilityEdwin AITraditional AIOps
Generative AI summaries✅ Built-in❌ Limited or unavailable
Hybrid dataset correlation✅ Operational + contextual⚠ Often siloed
Transparent, explainable AI✅ Open, configurable❌ Often black-box
Fast time to value✅ Live in days⚠ Months or longer
Built-in integrations✅ 3,000+ with full-stack visibility⚠ Requires custom work

Edwin AI doesn’t replace your team—it amplifies it. It cuts through noise, delivers insights in context, and routes incidents to the right teams automatically. Whether you’re starting with Event Intelligence or implementing the full AI Agent, Edwin AI helps your team shift from reactive triage to strategic ops.

How Edwin AI works

Edwin AI is designed to mirror—and improve—every phase of the incident response lifecycle. Where traditional workflows rely on human effort and coordination, Edwin AI brings speed, consistency, and automation to each step.

1. Detection and alerting → Observe

Edwin AI starts with observability, ingesting alerts, metrics, logs, and events across your hybrid environment. It consolidates these signals from multiple sources, so you don’t miss early warning signs—or waste time chasing noise.

2. Triage and prioritization → Correlate

Instead of treating each alert in isolation, Edwin AI correlates related events using time-series analysis, dependency mapping, and system context. This approach narrows down the scope and identifies high-impact issues automatically.

3. Investigation and diagnosis → Reason

Edwin AI analyzes the incident in context—drawing on historical patterns, recent changes, asset metadata, and known fixes. It identifies likely root causes and explains its reasoning, giving teams the clarity they need to act with confidence.

4. Containment and resolution → Act (or recommend)

Edwin AI can auto-populate tickets with root cause summaries, attach supporting evidence, and route issues to the right team. In environments with pre-defined playbooks, it can even recommend or execute remediation steps.

5. Communication and coordination → Summarize

Using generative AI, Edwin AI produces clear, human-readable summaries of the incident: what happened, what caused it, and what should happen next. This context travels with the ticket, keeping everyone, from on-call engineers to execs, informed.

6. Post-Incident Review → Continuous Learning

Every time Edwin AI observes, correlates, or resolves an issue, it gets smarter. It builds a knowledge graph of incident fingerprints, asset behaviors, and successful resolutions—enabling it to improve its recommendations over time.

Edwin AI doesn’t force you to rethink your entire workflow; it builds on what already works and removes what slows you down. It makes every phase of it faster, clearer, and more consistent.

Where agentic AIOps wins

Traditional tools were built to notify you when something breaks. Agentic AIOps is built to help you fix it—faster, smarter, and with less guesswork.

After walking through how Edwin AI mirrors and enhances each phase of the incident response lifecycle, it’s worth zooming in on where those improvements have the biggest impact. These are the moments where automation is a force multiplier.

1. Get to the “why” faster

Manual triage and inconsistent root cause analysis slow everything down. Engineers waste hours stitching together logs and metrics, only to escalate what they can’t fully explain.

What Edwin AI does:

Why it matters:

“Edwin AI started correlating and delivering value within an hour, even before we put it into production.” — Kris Manning, Global Head of IT Networks, Syngenta 

See how Syngenta used Edwin AI to correlate alerts in real time.

2. Turn repetitive incidents into fast fixes

Too many teams treat recurring incidents like new problems. Fixes live in tribal knowledge, and past context is rarely reused efficiently.

What Edwin AI does:

Why it matters:

“We were seeing more than 1,000 alerts a day—30,000 a month. That’s too much for any team to manage manually. Edwin AI helps us focus on what actually matters.” — Shawn Landreth, VP of Networking and Reliability Engineering, Capital Group

Learn how AI-driven insights can transform your IT operations in from Capital Group’s Shawn Landreth.

3. Proactively detect systemic risk

Recurring alerts often point to deeper systemic problems, but without time to step back, teams miss the big picture until it’s too late.

What Edwin AI does:

Why it matters:

“We’re firefighters sometimes… AI helps us mitigate everything that has an impact on the customer side.”— Gaël Grootaert, Group Director, Devoteam Managed Services

Rethinking incident response starts here

Incident response hasn’t kept up with the systems it supports.

Most teams are still dealing with alert storms, manual triage, and inconsistent resolution paths. Even with good people and solid processes, the old way just can’t scale.

What we’ve seen from teams using Edwin AI—across industries, team sizes, and use cases—is this: When incident response is handled by agents that understand context, history, and impact, the work gets faster. More consistent. Less reactive. And a whole lot less exhausting.

If you’re still stitching together dashboards and parsing logs by hand, it might be time to rethink how your team operates. Not by starting over—but by upgrading what’s already there.

You don’t need to solve everything all at once. But you can start solving the stuff that slows you down most.

Edwin AI is one way to do that. And it’s working—for real teams, right now.

See how agentic AI will transform your IT issue response.

Current as of:  Feb 9, 2024

 

LogicMonitor Business Operations

LogicMonitor’s business operations are performed out of the following locations:

EntityServicesData Residency
LogicMonitor, Inc.Software Development
Product Operations
Customer Support
Professional Services
Santa Barbara CA
Austin TX
Boston MA
New York City NY
LogicMonitor UK LimitedCustomer Support
Professional Services
London UK
LogicMonitor Australia Pty. Ltd.Professional ServicesSydney AU
LogicMonitor Asia Pacific Pte. Ltd.Customer SupportSingapore
LogicMonitor India LLPSoftware Development
Customer Support
Pune IN
Unomaly ABSoftware DevelopmentStockholm SE

 

Service Centers

LogicMonitor operates our service platform out of the following locations. Each customer may select their preferred Service Center upon initiation of service:

Service CenterLocation(s)Data Residency
US / WestBoardman ORUnited States
US / EastAshburn VAUnited States
EMEA / WestLondonEngland
EU / WestDublin IEIreland
APAC / South EastSydneyAustralia
EMEA / West (Legacy)*Slough UKUnited Kingdom
*Indicates that a legacy Service Center(s) may not be eligible for new customers.

 

Data Subprocessors

The following data subprocessors provide ancillary services that support the LogicMonitor platform:

Data SubprocessorServicesData Residency
Amazon Web ServicesHosted ComputeUnited States, Ireland
TwilioSMS/Voice NotificationUnited States
AuthyMulti-factor AuthenticationUnited States
ZendeskCustomer Support TicketingUnited States
PendoProduct Usage AnalyticsUnited States
SnowflakeData WarehousingUnited States
SalesforceCustomer Relationship ManagementUnited States
ZuoraPayment ProcessingUnited States
GainsightCustomer CommunicationsUnited States
SecuronixSecurity Support ServicesUnited States

Current as of: December 23, 2024

 

This Edwin AI “Addendum” amends the LogicMonitor Master Subscription Agreement (the “MSA”) available at https://www.logicmonitor.com/msa, or your signed agreement with LogicMonitor. This Addendum governs your use of LogicMonitor’s large language model (LLM) features and functionalities (the “Edwin AI Features”).

THIS ADDENDUM IS EFFECTIVE AS OF THE DATE YOU FIRST ACCESS OR USE THE EDWIN AI FEATURES. IF YOU WISH TO TURN OFF THE EDWIN AI FEATURES, YOU MUST PROVIDE A NOTIFICATION TO YOUR DESIGNATED CUSTOMER SUCCESS MANAGER OR OTHER CONTACT, OR THESE TERMS WILL CONTINUE TO APPLY. THE EDWIN AI FEATURES ARE INTENDED TO BE USED WITH THE ACCEPTABLE USE POLICY DEFINED BELOW.

  1. Automated Remediation: Edwin AI Features may suggest or automate responses to system alerts or anomalies.
  2. Predictive Analysis: Edwin AI Features may analyze data to predict potential issues and recommend preventative actions.
  3. Natural Language Interface: Edwin AI Features may enable users to interact with the LogicMonitor platform using natural language commands or queries.
  1. Accuracy: While LogicMonitor strives for accuracy, Edwin AI Features are inherently probabilistic and may not always produce perfect results. The Edwin AI Features rely on your input data for accuracy, and you are solely responsible for validating the accuracy of any information or actions generated by the Edwin AI Features.
  2. Human Oversight Required: Edwin AI Features are intended to augment, not replace, human oversight. You will not engage any Edwin AI Feature(s) for uses that are prohibited, such as those in the EU AI Act, and you will remain responsible for monitoring its systems and making informed decisions based on all available information, subject to human oversight.
  3. Acceptable Use Policy: You agree to comply with LogicMonitor’s “AI Acceptable Use Policy”, available at https://www.logicmonitor.com/ai-acceptable-use-policy, which governs the permissible uses of LogicMonitor’s AI services, including the Edwin AI Features. The AI Acceptable Use Policy is incorporated into this Addendum by reference.
  4. Prohibited Actions: Use of Edwin AI Features is prohibited for purposes of profiling, healthcare triage, or predicting the criminal behavior, or health outcomes, or legal decisions and outcomes for any individual.
  1. Reasonable Efforts: Use commercially reasonable efforts to provide and maintain the Edwin AI Features.
  2. Data Security: Implement appropriate technical and organizational measures to protect your data processed by the Edwin AI Features.
  3. Transparency: Provide clear documentation and guidance on the capabilities and limitations of the Edwin AI Features.
  1. Model Use. LogicMonitor’s processes are designed to ensure that only models are selected that have undergone security evaluations, and have been developed in accordance with industry practices for secure model development. The models applicable to the Edwin AI Features are listed in the applicable documentation. Subject to the requirements above, LogicMonitor may use different models or versions based on the task that needs to be completed. Please see below, however, currently, you are not able to choose which specific LLM models are used.
  2. Customer-Specific Models: For models developed by LogicMonitor, any models will be specific to you (as the customer). Your Customer data will not be shared outside of LogicMonitor or with other customers. Your Customer data will not be used to cross-train other models used by other customers.
  3. Third-Party LLMs: Your Customer data will not be used to train third-party LLMs such as OpenAI’s models. Your Customer data will also not be used to train or improve Microsoft’s products or any other third-party services.
  1. Your Customer data is not shared with other customers, and your Customer data is split into different datastores that do not overlap with other customers.
  2. Except as needed to provide the Edwin AI Features, your Customer data will not be used by or shared with other vendors, including Microsoft and OpenAI. Microsoft has an established Responsible AI framework along with strict security requirements, ensuring that your Customer data stays within the designated Azure environment. Additionally, Azure OpenAI supplies isolated network security, which segregates client data and applications to prevent cross-contamination.
  1. Data Stored: A range of data is stored within Edwin AI, such as ServiceNow Incidents, knowledge base articles from third-party sources, and other data that the customer enables to be sent to Edwin. You can choose to stop sending data at any time.
  2. Abuse Monitoring: LogicMonitor utilizes Azure’s abuse monitoring to ensure the platform is not being used for malicious purposes. Your Customer data may be stored for up to 30 days within Azure, but only for the purpose of safety evaluation and abuse monitoring. Retained data will not be used for training purposes or sent to third-party vendors.
  3. Data Processed: LogicMonitor’s Edwin AI currently utilizes any data available within Edwin AI, which primarily includes alert information and any additional information configured to be sent to Edwin AI.
  1. Data stored within Edwin AI complies with data residency regulations. Due to limitations in Azure OpenAI’s models, LogicMonitor has a global deployment for access to the LLMs. While Customer data will stay stored in its region, LogicMonitor may process data in an outside region (as described in the LogicMonitor DPA).
  2. If you are located within the European Union (EU), United Kingdom (UK), or Australia or the pacific region (collectively called “APAC”), you will need to opt in to the GenAI Assist features. For more information on data residency, refer to the DPA.
  1. LogicMonitor may update or modify the Edwin AI Features and this Addendum from time to time, by updating the terms at this hyperlink. LogicMonitor will provide reasonable notice of any material changes. This Addendum, together with the MSA, constitutes the entire agreement between the parties with respect to the Edwin AI Features and supersedes all prior or contemporaneous communications, representations, or agreements, whether oral or written. This Addendum shall be governed by and construed by the governing law provision in the MSA.
  2. Limitations of Liability. Notwithstanding anything to the contrary in any other document or agreement, the parties agree that the limitations of liability and disclaimer of damages from the MSA will apply to this Addendum and the Edwin AI Features.
    1. Generally. By choosing to purchase and enable the Edwin AI Features, you acknowledge that these Edwin AI Features utilize Microsoft Azure’s services as a Sub-processor (described further in the LogicMonitor DPA), and Customer consents to the use of the following Subprocessors, which are hereby added to the LogicMonitor Data Handling Supplement:
Data SubprocessorApplicable ServiceData Residency
Microsoft AzureHosted Compute and LLMUnited States (see below for data center locations)
OpenAILarge Language ModelUnited States

  1. Microsoft Azure: Provides cloud infrastructure and services for hosting and processing data related to the optional features.
    1. Microsoft Azure Data Center Locations: The optional features may utilize Microsoft Azure services hosted in the following data center locations:
      1. North America: East US, Central US, West US, Canada Central
      2. Europe: West Europe, North Europe, France Central
      3. Asia Pacific: Southeast Asia, East Asia, Australia East, Japan East
  2. OpenAI: Provides large language models and APIs used for natural language processing and generation in the optional features.
  3. Compliance. LogicMonitor will ensure that these Subprocessors comply with the data processing and security obligations as outlined in this Addendum and the MSA. You acknowledge that the use of these optional features may involve the transfer of data to Subprocessors located outside of your geographic region, if the Microsoft Azure Data Center Location is not located in the same region as your selected deployment region in AWS. Please see the locations listed above.

Last Updated:  February 2025

 

Notice to Government / Public Sector Customers: If these Terms (defined below) are referenced in your Order Form between you and LogicMonitor, these Terms will apply to your LogicMonitor subscription and supersede and replace any contrary terms in the online LogicMonitor Master Services Agreement. If you are using the Services on behalf of an entity or organization that you represent: (a) all references to “Customer” are to that entity or organization and (b) you represent and warrant that you are at least 18 years of age (or have otherwise reached the age of majority where you reside) and that you have the right, power and authority to enter into this Agreement on behalf of Customer. If you do not agree to the terms of this Agreement, do not access the Service or download and install the Collector Software.

 

1. AGREEMENT.

This Public Sector Master Services Agreement (these “Terms” or this “Agreement”) is entered into as of the last date of signature on the Order Form or this Agreement (the “Effective Date”), by and between LogicMonitor, Inc., a Delaware corporation having its headquarters at 820 State St., 5th Floor, Santa Barbara, CA  93101 U.S.A. (below referred to as “LogicMonitor,” “we,” “our”, “us” or “Company”) and the corporation or other legal entity set forth on the Order Form (below referred to as “Customer”, “you” or “your”), and will govern the use of the LogicMonitor hosted data center monitoring services (the “Service” or “Services”) and any associated use of the LogicMonitor Technology offered by LogicMonitor, Inc. Customer and LogicMonitor are sometimes hereinafter referred to individually as a “party” and collectively as the “parties”.

 

2.  YOUR SUBSCRIPTION.

 

3.  SUBSCRIPTION FEES, BILLING AND RENEWAL.

 

4.  TERM AND TERMINATION.

This Agreement is in force from the Effective Date (or, if earlier, the first date of your use of the Services or Software) and, subject to any earlier termination permitted in this Agreement, will remain in force throughout the Term. Except where your early termination is pursuant to LogicMonitor’s uncured material breach (pursuant to subsection (A) below) (in which case we will promptly refund to you the prepaid fees (if any) for that portion of the terminated period for which Services were not provided), early termination of a subscription or ceasing your use of the Services will not result in a refund of any prepaid fees or modify your obligation to pay fees for the remainder of the then current Term.  Either party may terminate this Agreement during the Term by written notice: (A) if the other party breaches any material term or condition of this Agreement and, assuming such default is capable of cure, fails to cure such default within thirty (30) days after written notice specifying the default (“Notice of Default”), (B) if the other party becomes insolvent or admits in writing its inability to pay its debts as they mature or makes an assignment for the benefit of creditors; or (C) if a petition under the United States Bankruptcy Act, as it now exists or as it may be amended, or any similar law of any other jurisdiction, is filed concerning the other party.  Additionally, immediately upon the detection of suspicious circumstances or behavior, or the receipt of information we believe is credible regarding the unauthorized use or disclosure of your data or of a demonstrable threat to either your data or the LogicMonitor Technology, LogicMonitor has the right to suspend the access to or use of the Service or LogicMonitor Technology by your authorized users. In such event, we will provide a prompt, written description of the issue(s) or event(s) resulting in the suspension, and you agree to regularly communicate with our support team, and work in good faith to resolve the matter promptly.  For the avoidance of doubt, we are not responsible for, and termination under this Section will not apply when any delay in restoration of services is related to your failure to provide prompt responses, reasonable assistance, and cooperation with us.  If the matter is not resolved within ten (10) days of suspension, either party has the right to terminate the Agreement upon written notice, and assuming the suspension was not prompted by Customer’s uncured breach, LogicMonitor will promptly refund the prepaid fees (if any) covering that portion of the terminated period for which Services were not provided.

 

5.  OUR TECHNOLOGY.

 

6.  OWNERSHIP.

 

7.  CONFIDENTIALITY.

 

8.  REPRESENTATIONS AND WARRANTIES.

 

9.  INDEMNIFICATION.

 

10.  DISCLAIMERS, LIMITATION OF DAMAGES AND LIABILITY.

 

11.  GENERAL PROVISIONS.

End-to-end monitoring for your virtualized infrastructure

Virtualization provides server consolidation, and improved utilization of your compute resources. However, it’s difficult to know if your virtualization strategy is leaving resources unused or overtaxed unless you’re monitoring the details of your virtualized infrastructure. LogicMonitor removes the guesswork by automating the monitoring of your entire virtualization stack.

VMware
Hyper-V
Nutanix
Cisco SD-WAN
Add’l Infrastructure

Improve performance and maintain service health

LogicMonitor provides comprehensive monitoring of VMware vCenter, VCSA, Horizon, and more. Our agentless collectors go beyond baseline performance monitoring and map the dependencies of your VMs, the applications running on them, and the backend infrastructure your VMware services rely on. Intelligent thresholds built on machine learning warn you of impending issues affecting your virtual machines and provide recommendations to improve performance and meet your SLAs.

VMware vsphere and vcenter virtual machine overview dashboard

Maintain and optimize your hypervisors for flawless deployments

The hypervisor is the core of Hyper-V; understanding the interplay of physical and logical processors, memory usage, and pressure is critical to managing resource utilization. LogicMonitor provides comprehensive visibility into Hyper-V, whether deployed on-prem or cloud, with pre-defined alerts and root cause analysis to help you alleviate issues quickly.

This dashboard provides an a listing of various metrics that are monitored for Microsoft Hyper-V The metrics displayed are real-time CPU utilization, real-time memory utilization, real-time storage utilization, status, CPU utilization over time, memory utilization over time, storage utilization over time

Easily monitor hyper-converged infrastructure

LogicMonitor’s Active Discovery always looks for new virtual machines on your Nutanix hypervisor host. Spun up a new instance? LogicMonitor will discover it in minutes – no additional configuration required! Survey CPU, memory utilization, storage IOPS/latency, and network throughput performance of top VMs at a glance to quickly identify outliers and potential misconfigurations.

nutanix virtual machine overview dashboard from logicmonitor

Keep supporting services running like clockwork

Whether you are running Cisco HyperFlex, Viptela, or any other SD-WAN technology, LogicMonitor will ensure all the pieces of your virtual environment work together seamlessly. In addition, with AI-driven dynamic thresholds, your team can quickly troubleshoot anomalous network or hypervisor activities that fall out of the expected range.

LogicMonitor Viptela dashboard

Monitor your entire stack in one unified platform

Monitor the health & performance of your storage systems, network devices, logs, applications, and more. With out-of-the-box monitoring support for over 2000 technologies, LogicMonitor makes it easy to keep track of all the critical pieces that hold your infrastructure environment together.

LogicMonitor NOC Overview Dashboard

PROVIDING UPTIME AND RELIABILITY TO OVER 2000 GLOBAL COMPANIES

Abbott Logo
Bupa White Logo
siemens logo

Get the metrics that matter

Easily monitor and improve Virtual Machine performance within a single system. Whether your resources are hosted on-premises, in the cloud, or in multiple geographic regions or data centers, LogicMonitor provides a single pane of glass view for all the metrics that matter.

  • Visualize and share critical metrics in user-friendly, drag-and-drop dashboards with a range of widget styles.
  • Correlate critical VM metrics to other aspects of your infrastructure, including networks, storage, and log data, to rapidly perform root cause analysis that will improve MTTR
  • Get real-time alerts to optimize resource utilization and prevent capacity issues across storage, memory, and CPU.
  • Prevent alert storms with intelligent thresholds, SLA monitoring, and escalation chains tuned for your environment.

Save time, money, and resources

The continuous growth of VMs and their usage can negatively affect application performance and server operating times – draining important resources. Utilizing LogicMonitor’s out-of-the-box under and over-utilized resource dashboards, you can:

  • Quickly identify the virtual machine resources taxing performance and causing issues in your environment.
  • Right size your virtual machine infrastructure in-real time to reduce excess capacity and save money.
  • Automatically prevent service-impacting problems with automated monitoring and AI-based alert thresholds.
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Proactively prevent outages with intelligent monitoring

With powerful AI features built-in, keeping your virtualized infrastructure optimized and available has never been easier. Detect issues sooner with dynamic thresholds, reduce MTTR with root cause analysis, proactively prevent issues, and plan future resource allocation with automated forecasting.

  • Dynamically generate topology maps that show how data flows among complex resources
  • See alerts within your infrastructure on a topology map to streamline troubleshooting and reduce MTTR
  • Pinpoint anomalies that occur for a monitored resource and compare that anomaly to key historical signals
LM Intelligence Enterprise performance monitoring dashboard showcasing AIOps capabilities of LogicMonitor

“The built-in alerts are fantastic! Other solutions I’ve used typically collect the data. Then I go in manually and create alerts. With LogicMonitor, I have hundreds of built-in, pre-configured alerts ready to go with the ability to tune a single object, a group, or the entire organization.”

TYLER C

SERVER AND CLOUD ENGINEER

Go beyond monitoring. Accelerate business growth with award-winning Professional Services

Our monitoring platform is exceptionally easy to deploy and manage. Helping you work easier, faster, and smarter. But LogicMonitor is not just a platform; we are a true partner. Leverage our 24×7 support or utilize custom LM Professional Services engagements that cover a wide range of customer needs and onboarding goals, designed to enable faster and more successful deployments.

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One platform for unified observability

TRUSTED BY:

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Visualize your network like never before

With powerful visualizations and custom dashboards, you can rapidly understand how your systems are connected and which issues impact performance.

Limitless integrations
See clearly
Streamline troubleshooting

Limitless integrations

Get the coverage you need for any network

  • Thousands of out of the box integrations with top brands like Cisco, Juniper, Meraki, and more allows for auto discovery of any device on any network, easily.
  • Monitor your networks via SNMP, API, jFlow, NetFlow, sFlow, WMI, NBAR2, and/or IPFIX.
  • Monitoring for firewalls, routers, switches, wireless devices, load balancers, and more.
  • Full coverage monitoring for cloud-based networks including SD-WAN.
  • Thousands of out of the box integrations with top brands like Cisco, Juniper, Meraki, and more allows for auto discovery of any device on any network, easily.
  • Monitor your networks via SNMP, API, jFlow, NetFlow, sFlow, WMI, NBAR2, and/or IPFIX.
  • Monitoring for firewalls, routers, switches, wireless devices, load balancers, and more.
  • Full coverage monitoring for cloud-based networks including SD-WAN.

See clearly

Easily map your networks to get the full picture

  • Discover and map relationships between critical infrastructure resources
  • Dynamic auto-generated topology maps allow you to contextualize network traffic and alerts in real-time
  • Identify traffic origination, ensure optimal performance with real-time metrics and logs, and keep a pulse on network health with custom dashboards

Streamline troubleshooting

Set up proactive alerts to reduce network service impacts

  • Determine the root cause of network performance issues across cloud services and on-prem data centers instead of wasting time chasing alerts
  • Get automated log analysis in the context of metric-based alerts to troubleshoot faster and reduce MTTR
  • Automate incident management workflows with custom HTTP integrations (i.e. Webhooks) that send alert data to any API endpoint
  • Cut through the noise and eliminate alert fatigue with machine learning algorithms

Out-of-the-box network monitoring for industry-leading solutions, including:

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Read some of our reviews

"LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs."

Rafik Hanna
SVP, Topgolf Technologies of Topgolf
Topgolf

"LogicMonitor helps us succeed by being a true partner."

Andrea Curry
Director, Observability & Scheduling of McKesson
McKesson

"LogicMonitor tells you what’s happening in the environment."

Rich Johnston
Director, Hosting Platforms of Carrier
Carrier

"Edwin AI will be 100x faster than a human and able to manage complex problems."

Gaël Grootaert
Group Director, Managed Services of Devoteam
Devoteam

"Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise."

Shawn Landreth
VP of Networking and Reliability Engineering of Capital Group
Capital Group

"Edwin AI delivered value within an hour of implementation."

Kris Manning
Global Head of IT Networks of Syngenta
Syngenta

Automated discovery

Deploy in minutes, not weeks

LogicMonitor uses a lightweight, agentless collector to discover everything you need to know about your network automatically. Just enter a hostname or an IP address, and within minutes you’ll have the monitoring, alerting, and graphing you need to maintain and optimise network infrastructure. Get the coverage you need for the most complex networks – whether those resources are on-premises, spread across multiple data centres, or in the cloud.

Unified platform

Replace outdated legacy monitoring tools

Make hybrid monitoring a breeze for growing organisations with support for servers, databases, cloud, containers, networks, applications and more. Eliminate tool sprawl with deeper insights into the health and performance of your cloud, on-proem, and virtualized infrastructure within a single, unified platform. With LogicMonitor, scale your network devices without needing any other point solution.

LogicMonitor executive dashboard

Reduce risk

Achieve 99.99% uptime

Cut through alert noise and identify network issues at lightning speed with machine learning based dynamic thresholds and root cause analysis. Prevent downtime by identifying future bandwidth issues and performance bottlenecks with anomaly detection and forecasting capabilities that elevate visibility into network performance.

achieve uptime, reduce risk
u0022Excellentu0022 PCMag rating
95% Satisfaction Highest NetPromoter score of any IT Infrastructure Management provider
u0022Editor's Choiceu0022 by PCMag
4.5/5 from Gartner Peer Insights and Customer Satisfaction leader on G2
u0022Excellentu0022 PCMag rating
95% Satisfaction Highest NetPromoter score of any IT Infrastructure Management provider
u0022Editor's Choiceu0022 by PCMag
4.5/5 from Gartner Peer Insights and Customer Satisfaction leader on G2
TrustRadius best of 2023
G2 2023 Best Usability Enterprise
G2 2023 Best Results Enterprise
G2 2023 Momentum leader
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Real results u003cstrongu003efrom real customersu003c/strongu003e

LSU achieved 100% service uptime with LogicMonitor

LSU achieved 100% service uptime with LogicMonitor

Schneider Electric reduced MTTR u0026 alert noise by 40% with LogicMonitor and consolidated monitoring tools by 83%

Schneider Electric reduced MTTR u0026 alert noise by 40% with LogicMonitor and consolidated monitoring tools by 83%

Loyola University pinpointed noisy network traffic and saved wasted bandwidth by removing 2,000 broadcasts off the wire

Loyola University pinpointed noisy network traffic and saved wasted bandwidth by removing 2,000 broadcasts off the wire

Visualize your network like never before

LogicMonitor provides a complete view of your network so you can quickly identify and troubleshoot network issues. With topology mapping and performance metrics unified in one platform, you can rapidly understand how your systems are connected and what issues impact performance.

With LogicMonitor you get:
  • An agentless platform with over 2000 pre-built technology integrations
  • Real-time network mapping to quickly visualize relationships between resources
  • Reduced MTTR with root cause analysis in the context of topology
  • Automated deployment and configuration
  • 24×7 technical engineer support

Network topology dashboard that shows metrics and mapping together

3,000+ TURN-KEY INTEGRATIONS

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Go beyond basic topology mapping

LogicMonitor provides extensive visibility into traditional and on-premises networks to improve network operations. With 2000+ monitoring integrations built-in, we help eliminate tool sprawl and context switching between tools with a unified view of performance metrics and topology. Get the monitoring you need to increase performance and speed up troubleshooting for networks of any make or size.

LogicMonitor NOC Overview Dashboard

Automate deployment and configuration

Lightweight, agentless collectors automatically discover your entire network infrastructure without the heavy lifting or expensive hardware. Within minutes, you’ll have the monitoring, alerting, and topology you need to maintain and optimize performance. As resources are automatically discovered and added to LogicMonitor, you’ll have the certainty that your monitoring platform will scale as fast as you do.

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“We have decommissioned a lot of tools since bringing LogicMonitor onboard. Datadog, Splunk, Pingdom, New Relic, a number of Prometheus, and Grafana environments, thanks to LM dashboards. LogicMonitor has helped consolidate, standardize, and eliminate a lot of overhead and tool spread.”

WILLIAM GUERTIN

SENIOR SYSTEM ADMINISTRATOR, ACCRUENT

Rapidly identify performance issues

Visualize and share network flow data or topology relationships in user-friendly, customizable dashboards, with a range of widget styles for compelling data display. Identify alerts in the context of topology and utilize root cause analysis for streamlined IT operations.

LogicMonitor topology mapping dashboard with dynamic thresholds for kubernetes environments

Get Started Today

Real-time monitoring to elevate SQL performance

LogicMonitor’s unique cloud-based monitoring service provides comprehensive visibility into SQL Server infrastructure, complete with best practices alerts and thresholds distilled from years of real-life datacenter experience. Identify slow-running SQL queries and start optimizing performance in real-time with LogicMonitor.

a LogicMonitor dashboard showing SQL Server metrics and graphs in dark mode format

3,000+ TURN-KEY INTEGRATIONS

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Automated SQL Monitoring, Solved.

Forget the heavy lifting. Unlike other monitoring systems, LogicMonitor requires no manual configuration. Simply enter a hostname, and LogicMonitor discovers all interfaces, physical drives, logical file systems, and also finds all instances of SQL server on that host.

  • CPU, Memory, Network and many other OS metrics for Windows, Linux, Solaris, AIX and more
  • Applications such as databases, mail servers, web servers, and more
  • Cloud instances and Virtual Machines
  • RAID controllers, physical drives, battery systems, interfaces, and other hardware

Monitor Everything, Together.

The value of database monitoring increases if you can monitor the rest of your key infrastructure metrics within the same pane of glass. LogicMonitor includes 1500+ pre-built monitoring integrations to help optimize your entire technical infrastructure in real time. Use one of our best practice dashboards or drag-and-drop your own to visualize highly-granular metrics any way you’d like. These are just a few of the technologies we monitor, right out-of-the-box:

  • Servers & Virtualization
  • Clouds & Containers
  • Services & Applications
  • Networks & Storage
LogicMonitor NOC Overview Dashboard

Get the Server Metrics That Matter

Granular monitoring of servers, including application-level metrics (like IIS, Apache Requests per second, Status, Response Time, and Busy vs Idle Workers) generates actionable data that helps guide IT operations. Proactively identify trends with aggregated views of server metrics like Volume Usage and use forecasting to identify future issues before they occur.

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Enabling Fully Automated IT Operations

Ready to monitor everything?