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    Infrastructure Monitoring and Observability Platform

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    Deployed on AWS
    LogicMonitor's automated SaaS performance monitoring platform provides IT Ops teams with end-to-end visibility and actionable metrics to manage today's sophisticated on-premise, hybrid and cloud IT infrastructures. Deploy and manage your monitoring faster and automatically with Auto-Discovery of devices. Act on infrastructure performance data using built-in and customizable dashboards, performance forecasting, and full reporting. Use built-in workflow capabilities including alerting routing and escalation management to improve IT team response.
    4.5

    Overview

    LogicMonitor is the leading SaaS-based, performance monitoring platform for Enterprise IT. With coverage for thousands of technologies, LogicMonitor provides granular visibility into infrastructure, cloud and application performance across hybrid and cloud infrastructures. Automated device discovery, preconfigured alert thresholds and rich, customizable dashboards, come together to give IT teams the speed, flexibility and actionable insights to succeed in today's competitive markets.

    Simply install a LogicMonitor Collector and add devices via network scan, bulk add, or orchestration tool of choice. The Collector automatically recognizes devices in your infrastructure and immediately begins collecting performance metrics. From there, use LogicMonitor's flexible data collection mechanism to pull metrics from virtually any device or API, then create graphs, dashboards, and custom alerts to quickly view application status and analyze trends.

    Highlights

    • End-to-end AWS Migration Monitoring: Ensuring migrated resources perform as intended with panoramic visibility into on-premises and AWS services in a single-pane view. Agentless Collector provides hybrid and multi-cloud visibility in minutes, not days or weeks. Low cost of ownership as teams are not having to constantly upgrade agents to support new features. Devices are recognized and instantly auto-configured based on best practices.
    • Complete visibility into cloud services: visualize cloud performance, availability, and ROI alongside your monitored on-premises infrastructure for a complete view into hybrid and multi-cloud environments.
    • Automated device configuration for 2,000+ technologies: LogicMonitor detects what to monitor, what to graph, and what to alert on, automatically, to give you intelligent, actionable monitoring.

    Details

    Delivery method

    Deployed on AWS
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    Buyer guide

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    Buyer guide

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    Pricing

    Infrastructure Monitoring and Observability Platform

     Info
    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (24)

     Info
    Dimension
    Description
    Cost/month
    Enterprise Package
    Enterprise Package - Local Collector Devices
    $22,000.00
    LM APM Metrics
    <50 datapoints pushed via API or scraped via OpenMetrics integration
    $3,000.00
    LM APM Synthetics
    Up to 1000 invocations of selenium-recorded synthetic tests
    $3,000.00
    LM APM Traces
    Up to 1m application spans
    $3,000.00
    Layered AI
    Layered AI
    $120,000.00
    LM Cloud
    Cloud Resources
    $3,000.00
    LM Cloud IaaS
    See quote
    $22,000.00
    LM Cloud PaaS
    See quote
    $3,000.00
    LM Config
    Configuration Monitoring and Alerting
    $1,500.00
    LM Container Monitoring
    Container Resources
    $3,000.00

    Additional usage costs (1)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    Additional usage as defined in Sales Order Form (Private Offers Only)
    $0.01

    AI Insights

     Info

    Dimensions summary

    You buy this platform as a contract made up of separate units you combine to fit your environment. Core infrastructure counts by resource type, including cloud, IaaS, PaaS, containers, and wireless access points. Application monitoring bills separately by metrics, synthetic tests, and traces. Log and inspector units bill per GB, with monthly, yearly, or unlimited retention choices that affect price. Other independent add-ons cover config, service insight, website, SaaS, cost optimization, AI, and integration options. Support and extra usage come as separate quoted lines. You scale by adding units per category as your needs grow.

    Top-of-mind questions for buyers

    Units count by resource type. One on-prem monitored device, one cloud IaaS resource, seven cloud PaaS resources, or five wireless access points each equal one unit. For containers, seven pods equal one unit. Your account team estimates the unit count that fits your environment.
    LM Logs and LM Inspector bill per GB of data. You choose one-month retention, one-year retention, or unlimited retention for logs. Longer retention lines cost more because data stays stored longer. You can filter data before ingestion to control the GB volume you are billed for.
    APM bills across three separate lines. LM APM Metrics counts datapoints pushed via API or scraped. LM APM Synthetics counts synthetic test invocations. LM APM Traces counts application spans. Each meters independently and adds to your invoice, so the metric matching your heaviest usage drives that portion of cost.
    www.logicmonitor.com+2
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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Monitoring and Observability, Migration
    Top
    10
    In Observability, Migration
    Top
    25
    In Log Analysis

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Automated Device Discovery and Configuration
    Automatic recognition and configuration of 2,000+ technologies with preconfigured alert thresholds and best practices-based setup without manual intervention
    Agentless Monitoring Architecture
    Agentless Collector deployment enabling hybrid and multi-cloud visibility with reduced operational overhead and no requirement for continuous agent upgrades
    Unified Multi-Environment Visibility
    Single-pane-of-glass monitoring across on-premises, hybrid, and multi-cloud infrastructures including AWS services with panoramic performance visibility
    Flexible Data Collection Mechanism
    Capability to pull metrics from virtually any device or API with support for custom graphs, dashboards, and alerts for application status analysis and trend identification
    Performance Forecasting and Customizable Dashboards
    Built-in performance forecasting capabilities combined with rich, customizable dashboards and full reporting functionality for actionable infrastructure insights
    Full-Stack Observability
    End-to-end monitoring of AWS applications and infrastructure from code level insights to end-user tracing with robust configuration options
    AI-Powered Root Cause Analysis
    Davis AI engine performs precise root cause analysis showing causation and correlation to drive automated remediation and reduce mean time to resolution
    Generative AI Application Monitoring
    Real-time monitoring, optimization, and security of Generative AI applications, LLMs, and agentic workflows with cost optimization, hallucination detection, and PII leakage guardrails
    Runtime Application Security
    Built-in Runtime Application Self-Protection that autonomously detects and blocks threats across AWS-hosted applications with real-time vulnerability and threat detection
    AWS Native Integration
    Out-of-the-box compatibility with 100+ AWS native technologies including EC2, Lambda, ECS, EKS, Fargate, Bedrock, and EventBridge for seamless deployment and correlation
    Unified Observability Platform
    Comprehensive visibility across applications, infrastructure, logs, databases, networks, and digital experiences through a single-pane-of-glass interface
    AIOps and Machine Learning
    AIOps enhanced with machine learning capabilities to simplify management of distributed environments and automatically prioritize alerts to reduce alert fatigue
    Automated Instrumentation and Dependency Mapping
    Automated instrumentation with dependency mapping and service relationship views to identify multi-level relationships across services
    Open-Source and Container Support
    Support for open-source frameworks, container technologies, and third-party integrations for cloud-native environments
    Rapid Deployment
    Quick installation and easy configuration designed for rapid time to value with minimal setup complexity

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.5
    678 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    73%
    24%
    1%
    1%
    1%
    12 AWS reviews
    |
    666 external reviews
    External reviews are from G2  and PeerSpot .
    MayankGarg

    Unified monitoring has improved incident response and prevents downtime across servers and apps

    Reviewed on Oct 17, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for LogicMonitor is to monitor all the servers, applications, and network performance because it helps us to identify issues such as high CPU usage, slow response time, and downtime before they affect the users. It also makes it easier to check system health and troubleshoot problems from a single place.

    Once we noticed a server was running slower than usual. With LogicMonitor, we checked CPU and memory usage and found that resource usage was too high. This helped our team to identify the issues quickly and fix it before it affected users. It also saved our time because we could check everything from a single dashboard instead of checking each server manually.

    Mainly, I use LogicMonitor to check system health, review alerts, and keep an eye on server performance. It helps me to spot unusual activity early and makes troubleshooting easier. I also use it to check past performance trends when investigating recurring issues.

    How has it helped my organization?

    LogicMonitor has helped our team to reduce the time spent on manual troubleshooting. We can identify server issues earlier, respond to alerts faster, and avoid some unexpected downtime. Having all the important metrics in one place also makes it easier for the team to understand what is happening and decide what needs attention first.

    Our team can respond to server issues faster because alerts help us to find problems early. It has also reduced the time spent checking systems manually. While I don't have exact numbers to share, it has made troubleshooting easier and helped us to avoid some potential downtime.

    The main challenge was getting a clear view of our cloud and on-premise systems in one place. Sometimes we had to check different tools to understand where a problem was coming from. LogicMonitor's Envision platform has helped bring this information together and make it easier to track performance as well as troubleshoot issues. There is still room to improve visibility in some areas.

    LogicMonitor has helped our team to reduce the time needed to resolve incidents. The alerts make it easier to identify issues quickly and the performance data helps us to find the root cause without checking multiple systems manually. We still need to investigate some complex issues, but overall, it has made troubleshooting faster and improved our response time.

    What is most valuable?

    There are many best features in LogicMonitor, including real-time monitoring, automatic alerts, and easy-to-understand dashboards. I also appreciate that I can check server health, CPU and memory usage, and network performance in a single place. The alert system is useful because it helps us to catch problems early, and the performance history makes it easier to find the reason behind recurring issues.

    I rely most on the alert system because I don't have to keep checking every server manually. If CPU usage goes high or a server has a problem, I get notified and investigate quickly. It helps our team to save time and fix issues before they can cause bigger problems.

    Overall, LogicMonitor covers most of our monitoring needs. I especially appreciate that the alerts and dashboard are easy to use. It would be even better if alert settings were easier to customize and the pricing was more flexible for smaller teams.

    Dynamic Service Insights helps us to understand how different parts of our application and infrastructure are connected. When a service slows down or shuts down, we can get a better idea of where the issue is coming from instead of checking everything separately. This makes troubleshooting faster and helps our team to focus on the services that need attention first.

    We have used Dynamic Service Insights to get a better view of service health in real-time. It helped us to spot performance issues earlier and understand which services may be affected. This makes it easier to prioritize fixes, reduce the chance of service disruption, and respond before a small issue becomes a bigger business problem.

    Edwin AI looks helpful for identifying possible root causes and suggesting what to check next. It can save time during troubleshooting, especially when several alerts happen together. However, I would still verify its findings before applying a fix. Its effectiveness depends on how useful the suggestions are.

    Edwin AI's autonomous learning can make future troubleshooting easier. It can save time by suggesting possible causes based on past issues. However, I would still review its recommendations before taking action, especially on critical systems.

    What needs improvement?

    LogicMonitor could be improved by making the initial setup a little easier and giving users more control over alerts. Sometimes there are too many notifications, so better filtering would help. I would also like to see a simpler pricing plan and a more user-friendly way to create custom dashboards and reports.

    I think LogicMonitor's AI features are useful, but security and data privacy are also important when using them. It should be clear how monitoring data is used, who can access it, and how it is protected. Proper access control and transparency around AI-generated insights would help build more trust.

    The AI output is generally useful for understanding alerts and finding possible causes of issues. It gives a good starting point, but sometimes I still need to check the actual metrics before taking any action. I would like to see more consistent results and a clearer explanation of how it reaches its conclusions.

    For how long have I used the solution?

    I have been using LogicMonitor for two years.

    What do I think about the stability of the solution?

    LogicMonitor is very stable.

    What do I think about the scalability of the solution?

    LogicMonitor is incredible for scalability, efficiency, and reliability of the software.

    How are customer service and support?

    Customer support is very supportive and always available to resolve customer issues. I think it is very excellent.

    I would rate the customer support a 10.

    Which solution did I use previously and why did I switch?

    I did not use previous solutions.

    What was our ROI?

    I see a good ROI in terms of time saved for our IT team from monitoring each service manually. Now we can track and monitor it from a single place.

    What's my experience with pricing, setup cost, and licensing?

    Based on my usage and experience, the pricing is not very cheap, but it is affordable for small enterprises as well as large ones.

    Which other solutions did I evaluate?

    We evaluated different solutions such as DataDog and SolarWinds. However, I chose LogicMonitor because it provides good features at a very affordable price.

    What other advice do I have?

    I would rate LogicMonitor a 10 out of 10 because it helps us to monitor all the servers from a single dashboard. It makes troubleshooting easier and time-saving for us. I would suggest LogicMonitor if you want to monitor multiple servers, applications, and networks from a single place without spending too much. The features should ensure they fit your requirements. My overall product rating is 10.

    Brad W.

    User-Friendly Monitoring with Deep Capabilities, but a Learning Curve

    Reviewed on Oct 16, 2026
    Review provided by G2
    What do you like best about the product?
    I like LogicMonitor’s ease of use, user-friendly interface, and depth of monitoring capabilities. The range of capabilities gives me insight into a vast set of options and the flexibility to target what gets monitored on each system or set of systems.
    What do you dislike about the product?
    I found there was a fairly extensive learning curve to deploy and manage LogicMonitor. There is just so much to learn that it takes a while to get a grip on all the options available.
    What problems is the product solving and how is that benefiting you?
    I use LogicMonitor for enterprise monitoring and visibility, with alerts on potential and realized issues in our IT environment.
    Vinay S.

    All-in-One Monitoring with Helpful Alerts and Dashboards

    Reviewed on Oct 16, 2026
    Review provided by G2
    What do you like best about the product?
    LogicMonitor helps us monitor our servers and network in a much more convenient way. What I like most is that nearly all the essential information is available in one place, so I don’t have to keep switching between different tools. The notifications alert us when something is wrong and give us the chance to start investigating before someone else has to point out the issue. The dashboards are also useful for getting a quick, clear overview of overall system performance.
    What do you dislike about the product?
    Getting started was harder than I expected. There are a lot of configuration options to consider, and it isn’t always clear which ones you actually need. Sometimes there are simply too many messages, especially when several notifications come in at once. I’d really like a simpler setup process and better ways to filter or sort out the less important alerts.
    What problems is the product solving and how is that benefiting you?
    One useful capability I’ve found is being able to check an issue before spending time digging into it elsewhere. If there’s an anomaly in a server response, or if a network appliance goes offline, I can review the monitoring data to get a clearer picture of what actually happened. We still need to investigate on our side and resolve the problem, but having that information readily available makes the work much easier.
    Devon B.

    Dynamic Alerting Makes LogicMonitor a Must-Have

    Reviewed on Oct 14, 2026
    Review provided by G2
    What do you like best about the product?
    Using dynamic alerting is critical when you’re working with LogicMonitor. We’ve run into plenty of situations where there isn’t a reliable static number to use as a threshold, and dynamic alerting helps solve that problem.
    What do you dislike about the product?
    The biggest issue we have with LogicMonitor is the topology view. We often end up with an inaccurate topology view of our network infrastructure, and there’s no way for us to manually create or adjust it ourselves.
    What problems is the product solving and how is that benefiting you?
    Logicmonitor helps close the observability gaps that other vendors’ own tools haven’t been able to cover for us.
    Suyash Gaikwad

    Monitoring has reduced outages and improves incident response for our hybrid cloud services

    Reviewed on Oct 12, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My primary responsibility is LogicMonitor administration, including network-device onboarding, monitoring configuration, alert tuning, and ITSM integration.

    For new deployments, I recently onboarded 20+ network devices in the Australia South region. For smaller deployments, I use the Resource Wizard to add devices, assign collectors, configure SNMP credentials, and run discovery to validate communication and monitoring. For bulk deployments, I use NetScan to discover and onboard multiple devices efficiently.

    I also manage alerting, thresholds, datasources, and monitoring customization based on operational requirements.

    Additionally, I work on LogicMonitor integration with BMC Helix Operations using REST APIs, primarily GET and POST methods, to support automated alert and incident processing.

    How has it helped my organization?

    LogicMonitor has significantly improved our infrastructure observability, availability, and incident response by providing real-time dashboards, automated alerting, and proactive monitoring.

    Our NOC team continuously monitors the environment and receives immediate notifications for critical infrastructure or service failures, enabling faster detection, escalation, and remediation. This has helped improve service availability from approximately 94–95% historically to nearly 99.9% currently.

    LogicMonitor provides centralized visibility across Windows, Linux, network, and Cloud services, allowing us to monitor service health, performance metrics, resource utilization, and availability from a single platform.

    The platform has also contributed to a significant improvement in MTTR by providing accurate diagnostic data and actionable alerts, enabling engineers to identify the affected component faster and reduce troubleshooting and resolution time.

    Overall, LogicMonitor has strengthened our 24×7 monitoring capability, proactive incident detection, service availability, and operational efficiency.

    What is most valuable?

    LogicMonitor provides a highly automated and scalable monitoring framework. Once the required SNMP/API credentials are configured, devices can be onboarded using the IP address or hostname, followed by automated discovery of supported datasources, interfaces, and metrics.

    At the Datasource level, monitoring logic, metrics, thresholds, and alert rules are predefined. Once the appropriate datasource is associated with a device, LogicMonitor automatically executes the required collection logic, retrieves metrics, and presents them through dashboards and time-series graphs, with alerts generated when defined thresholds are breached.

    The automated alerting framework significantly improves operational response. For example, if CPU utilization exceeds a defined threshold such as 90%, LogicMonitor evaluates the associated alert rules and automatically routes the alert through the configured escalation path, such as the NOC notification channel, BMC Helix, Microsoft Teams, or email, without requiring manual intervention.

    Another valuable capability is LM Logs, which provides detailed logging and troubleshooting information. During post-incident analysis, we can use these logs to trace device communication, collection activity, alert processing, and potential monitoring gaps, helping identify the root cause and determine whether any monitoring events were missed.

    Overall, LogicMonitor provides automated discovery, centralized metric collection, intelligent alerting, visualization, and detailed troubleshooting capabilities within a single observability platform.

    What needs improvement?

    From an improvement perspective, one key requirement is extended raw-data retention and accessibility. Currently, raw metric data is available only for a relatively short period, which can limit detailed historical analysis during long-term troubleshooting or capacity planning. Providing an option to export or retrieve extended raw data through CSV, Excel, or APIs would improve historical analysis and reporting capabilities.

    For AI, governance, and security, enhanced capabilities for FedRAMP environments would be valuable, particularly around security analytics, compliance monitoring, anomaly detection, and automated governance controls for regulated infrastructure.

    There is also an opportunity to further enhance LogicMonitor's AI-driven troubleshooting and RCA capabilities. While the existing outage-analysis functionality is useful for automatically collecting relevant monitoring data during incidents, deeper correlation across metrics, alerts, logs, and events could provide more automated root-cause insights.

    Another operational challenge is maintaining complete observability across hybrid infrastructure. In some scenarios, collector-side issues can result in data-collection gaps or "No Data" conditions, which may reduce monitoring visibility and potentially delay detection. Enhanced collector health monitoring, data-collection validation, and proactive detection of collection failures would help minimize these monitoring gaps.

    Overall, LogicMonitor provides a strong observability platform, with the main opportunities focused on extended data retention, FedRAMP security/governance, AI-driven RCA, and improved collector/data-collection reliability.

    For how long have I used the solution?

    I have been using LogicMonitor for the last six years.

    What do I think about the stability of the solution?

    LogicMonitor is a 100 percent stable application.

    What do I think about the scalability of the solution?

    I would rate LogicMonitor a nine out of ten for scalability.

    How are customer service and support?

    I would rate customer support a seven out of ten.

    For customer support, I rate it a seven out of ten since we often do not get immediate responses from support or live chat agents, and most communication happens through email, which is time-consuming.

    Which solution did I use previously and why did I switch?

    Previously, we used the HP monitoring tools but switched to LogicMonitor due to its on-premises solution being costly in licensing and support.

    How was the initial setup?

    Complex.

    What was our ROI?

    Yes, LogicMonitor has delivered ROI by reducing manual monitoring effort, enabling faster incident detection and resolution, and improving infrastructure availability. Automated alerting and integrations with BMC Helix and Microsoft Teams streamline incident escalation, reduce operational overhead, and help improve service availability from approximately 94–95% to nearly 99.9%.

    What's my experience with pricing, setup cost, and licensing?

    We directly connect to LogicMonitor, purchasing it through our third-party vendor.

    Regarding pricing, setup cost, and licensing, it is more about management decisions, but I find the pricing for collector and device count fair enough for the SaaS-based model.

    Which other solutions did I evaluate?

    Our team consulted with network architect team and found that LogicMonitor was more useful than other monitoring solutions, so we chose it.

    What other advice do I have?

    I would rate LogicMonitor a nine out of ten since it is the most reliable tool nowadays. Being SaaS-based eliminates the need to worry about infrastructure, servers, and databases, making it very useful for monitoring.

    I choose a nine out of ten for LogicMonitor because it is SaaS-based, and we do not need to worry about the database or the server going down, with automatic updates for the collector, which ensures it works well for monitoring.

    We have not utilized the Dynamic Service Insights feature for real-time visibility.

    We recently applied for the trial license of Edwin AI in our lab to explore its functionality, but we are not yet fully using it in production.

    We are not yet using the autonomous learning feature of Edwin AI.

    I advise organizations with vast enterprise-level infrastructure to consider LogicMonitor, while smaller setups might look for less costly options. My overall product rating for LogicMonitor is nine out of ten.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
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