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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.

    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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    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)

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    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

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Vendor terms and conditions

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    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

     Info
    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
    Infrastructure Auto-Discovery
    Automated device recognition and configuration for over 2,000 technologies with instant performance metric collection
    Hybrid Cloud Monitoring
    Comprehensive visibility across on-premises, hybrid, and cloud infrastructures with agentless monitoring capabilities
    Performance Metrics Collection
    Flexible data collection mechanism capable of pulling metrics from diverse devices and APIs with customizable graphing and dashboarding
    Monitoring Coverage
    Granular performance monitoring for thousands of technologies with preconfigured alert thresholds
    Monitoring Automation
    Automatic device detection, configuration, and performance tracking with intelligent, actionable monitoring capabilities
    Observability
    "Full-stack monitoring with automatic discovery and continuous tracking of AWS applications and infrastructure from code-level insights to end-user tracing"
    Cloud Infrastructure Monitoring
    "Automatic discovery and optimization of EC2 instances across Availability Zones using CloudWatch API"
    AI-Driven Analytics
    "Real-time analysis of complex ecosystems and billions of events with AI-powered root cause analysis and correlation"
    Runtime Application Security
    "Instant detection and blocking of vulnerabilities and threats in runtime cloud applications"
    Multi-Cloud Technology Support
    "Native integration with Amazon EC2, Elastic Container Service, Elastic Kubernetes Service, Fargate, Lambda, and over 90 AWS technologies"
    Observability Platform
    Unified monitoring solution for cloud-native and custom web applications across multiple technology domains
    Machine Learning Integration
    AIOps-enhanced platform with machine learning capabilities to simplify management of distributed environments and reduce alert noise
    Infrastructure Monitoring
    Comprehensive visibility across applications, infrastructure, logs, databases, networks, and digital experiences with service relationship views and dependency mapping
    Open Source Compatibility
    Support for open-source frameworks, container technologies, and extensive third-party integration capabilities
    Automated Instrumentation
    Automated dependency mapping and instrumentation with quick installation and deployment process

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    1
    1 ratings
    5 star
    4 star
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    1 star
    0%
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    100%
    1 AWS reviews
    |
    638 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    reviewer2772051

    Has reduced mean time to resolution by expanding visibility across hybrid environments

    Reviewed on Oct 28, 2025
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for LogicMonitor is enterprise monitoring, specifically infrastructure monitoring, and cloud, so hybrid monitoring. For hybrid monitoring, we monitor services that are running in the cloud amongst all three providers, whether it's GCP, AWS, or Azure, as well as infrastructure in our data center and at our various locations as well.

    What is most valuable?

    The best features LogicMonitor offers include the single pane of glass, the constant improvements to the features within LogicMonitor, as well as the excellent support and the ability to actually get hold of the developers of their specific products or features within the tool.

    The single pane of glass feature helps my team day to day by allowing us to look at all our specific areas in one view, in one tool, even though it's infrastructure for various departments or various teams; with that, they can see their own systems within LogicMonitor, do reporting, graphing, dashboarding, etcetera.

    LogicMonitor has positively impacted my organization by being up to date with all the latest features and capabilities, so as our organization develops cutting-edge systems, whether internal or third party, we can always rely on LogicMonitor to provide proper enterprise level monitoring and observability.

    LogicMonitor has expanded our view of our systems and has reduced our mean time to resolution, as now engineers that work on specific issues are able to very quickly identify what the cause is.

    What needs improvement?

    LogicMonitor can be improved by having more meetings with customers to find out what they really need and perhaps also by providing feedback on feature requests to see where the feature requests actually sit in their development queue.

    For how long have I used the solution?

    In my current field, I've been working for more than twenty years.

    What do I think about the stability of the solution?

    LogicMonitor is stable.

    What do I think about the scalability of the solution?

    LogicMonitor scales well; however, the need to assess the load on collectors is a bit cumbersome.

    How are customer service and support?

    Customer support is good, but escalations within customer support are not so good.

    How would you rate customer service and support?

    Neutral

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

    I previously used a different solution, but I cannot say the name, and it wasn't up to date with current technologies and did not align with our observability requirements.

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

    I experienced no issues with pricing, setup cost, and licensing; it was very transparent, and the licensing model is very clear and easy to understand, with the exception of the cloud licensing, which is a bit confusing.

    The cloud licensing is confusing due to the way resources are counted; they have an algorithm or method that they use, but it's not shared or easily determinable for me to ascertain what the actual cost is based on my usage.

    Which other solutions did I evaluate?

    Before choosing LogicMonitor, I evaluated other options, but I cannot disclose what those other options were.

    What other advice do I have?

    On a scale of one to ten, I would rate LogicMonitor an eight. I choose that number because it's above average, but they still haven't quite reached the level of features required for it to be a complete single pane of glass; for example, the APM feature is not quite as developed as Datadog.

    My advice for others looking into using LogicMonitor is to assess what your needs are, whether the features align with your company's design, as well as what your company actually requires from the tool, since LogicMonitor is designed for full level observability, so it's pointless getting it just to monitor three servers; we're looking at enterprise-level monitoring here.

    I would rate LogicMonitor an 8 out of 10.

    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?

    Other
    Max Anderson

    Has improved issue resolution with custom monitoring while needing better support for cloud and containers

    Reviewed on Oct 16, 2025
    Review provided by PeerSpot

    What is our primary use case?

    LogicMonitor  is our network and systems monitoring tool. It is primarily for our on-premises infrastructure, including firewalls, routers, switches, servers, both physical and virtual, storage systems, and anything in between. We do a little bit with SaaS solutions and cloud, but LogicMonitor  really shines for on-prem solutions.

    Primarily, it determines when a server is up or down. It is also helpful to correlate multiple different alerts together. If I see one server down at a branch location and I can go in and quickly check that the router is also down, that would tell me the circuit or the power is probably out at that location. This helps me narrow down what I need to work on.

    It is a really solid tool for the on-premises, physical and virtual infrastructure. I have had nothing but good things to say about it, and it has been a pleasure using it for those use cases.

    What is most valuable?

    I love the idea of how the monitoring scripts are built. LogicMonitor is made up of Logic Modules with different types. Primarily, users work with data sources. The Logic Modules are written in Groovy programming language. The script goes out and does whatever it needs to do to authenticate, which may be a custom situation for every type of different device. It authenticates, and within the logic of the script, it knows how to pull the data and output it to standard out in a standard format.

    This is really powerful because it allows you to look at the code that LogicMonitor's own engineers have written for all of the various different out-of-the-box solutions. For example, with VMware vSphere , they have probably a dozen Logic Modules. If you need to troubleshoot, or if the Logic Module does not work exactly as needed, you can go in, look at the code, and fork that Logic Module to adjust the Groovy code to do exactly what you need.

    I was able to create ping monitoring of every virtual machine in our vSphere instance. I did not want to pay for a separate LogicMonitor license for certain servers where I only needed to know if they were up or down. I built a custom Logic Module that operates off of all the VM instances within Vcenter and performs a ping every minute. We use that primarily to determine up-down status for all of our VMs.

    For our colocation facility, which has an API, we wanted to monitor certain events, such as when someone enters our cage. I wrote a custom event source which queries the API periodically. It looks for new entries into our cage, and if it finds one, it creates a LogicMonitor alert that gets delivered to all proper stakeholders so we know when someone enters our secure location.

    What needs improvement?

    The hardest part about LogicMonitor is its current support for cloud, SaaS, and container monitoring. The on-premises network monitoring tools are stronger than some of the more modern things we need to monitor in the IT landscape. With cloud monitoring, all metrics are pulled directly from Azure , whatever Azure  provides. There is not really anything custom. There are no Groovy scripts or anything custom that can be customized for cloud monitoring.

    The container monitoring seems to be really behind compared to some bespoke cloud-native monitoring solutions that are designed around Kubernetes , containers, and ephemeral environments. LogicMonitor does not shine as well in these more modern IT systems.

    The product is not as mature in these areas. During our trial, I developed quite a list of different issues and bugs. While we could deal with or work around each issue individually, the combination of all of them together made me less excited to move forward with a monitoring product for containers. Being that it was a separate cost requiring procurement, we opted not to proceed at that point. We are still in the market and looking around. We may do another trial of LogicMonitor container monitoring in the future, but it is not number one on our list.

    For how long have I used the solution?

    I have been using this solution for at least five years.

    What do I think about the stability of the solution?

    It is very stable. I have never seen LogicMonitor itself go down. I have seen issues where our collectors stop working, but I think that is potentially due to issues with our own infrastructure and not necessarily their software. In terms of their cloud-hosted portion, it is extremely solid. I have never had any issues with it.

    What do I think about the scalability of the solution?

    Their model assigns monitor devices to a collector, and you can scale out collectors as much as you want. They are not licensed, so you could deploy one collector or 1,000 collectors for the same cost. As your company grows, you are able to scale effectively by just deploying additional collector machines.

    How are customer service and support?

    Thankfully, I have not had to open many support tickets because the product mostly just works without issues. For the few times that I have had to open a ticket, they have been helpful. I have found that they are less likely to want to jump on a call. I appreciate when support at other companies is quick to say, "Let's jump on a Zoom call and work it out." With LogicMonitor, they really want to try to keep the conversation over email and tickets as long as possible. Sometimes that can prolong the support experience, but overall, the support experience was good, and I usually always got what I needed from the support engineers.

    How would you rate customer service and support?

    Positive

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

    We did not have previous solutions. We might have evaluated one or two options, but it was primarily LogicMonitor because some team members had prior experience at previous employers and there was not really anything else that caught our eye or that we thought was worth looking at.

    What was our ROI?

    I do not have any specific metrics because we do not record that information, but I can definitely notice a difference in our posture, uptime, and ability to solve problems and resolve outages much quicker since we have had LogicMonitor in place.

    We have felt improvements in our ability to solve problems quicker and diagnose issues faster. Overall, it makes our jobs easier, though I do not have any hard numbers to share.

    What other advice do I have?

    If you need a traditional on-premises monitoring tool for your physical and virtual infrastructure in your own data center, it is a great solution. If you are primarily a public cloud user, you should probably look at another solution.

    On a scale of 1-10, I rate this solution a 7.

    Which deployment model are you using for this solution?

    On-premises

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

    Microsoft Azure
    Parveen Kumar M.

    Reliable and Comprehensive Monitoring Solution

    Reviewed on Oct 14, 2025
    Review provided by G2
    What do you like best about the product?
    LogicMonitor is its comprehensive visibility and automation for IT infrastructure monitoring. The platform gives a unified view across cloud, on-premises, and hybrid environments, which makes troubleshooting much faster. Its intelligent alerting system reduces noise by focusing on actionable insights rather than flooding you with notifications Overall, LogicMonitor strikes a great balance between powerful analytics and user-friendly design, making infrastructure monitoring both efficient and proactive.
    What do you dislike about the product?
    Some of the advanced customization options (like creating complex dashboards or custom data sources) require scripting knowledge, which might not be ideal for non-technical users.
    What problems is the product solving and how is that benefiting you?
    LogicMonitor helps us proactively identify and resolve infrastructure issues before they impact end users. By providing real-time monitoring and intelligent alerts, it has significantly reduced downtime and manual troubleshooting, saving both time and effort for our IT team.
    The platform’s detailed performance insights also support capacity planning and resource optimization, ultimately improving overall system reliability and efficiency.
    Maxwell Miya

    Has improved service reliability and reduced downtime by providing full visibility into infrastructure

    Reviewed on Oct 09, 2025
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for LogicMonitor  is monitoring almost all devices, including servers, VMs, data backups, network endpoints.

    A primary use case for LogicMonitor  is in hybrid environments, specifically in Microsoft ecosystems for monitoring servers and VMs by collecting performance metrics such as CPU, memory, disk, network latency, application throughputs, and to help avoid downtime and performance degradation by spotting trends and anomalies.

    LogicMonitor allows me to model key business services, define underlying infrastructure components such as databases, networks, and applications, and helps me to show the health of services based on the health of its parts. It gives me business connection awareness so that my team and I can instantly see if a service used by customers or our own staff is impaired and be quick to identify the root cause component.

    What is most valuable?

    The best features LogicMonitor offers include metrics that are automated discovery and monitoring, which is the biggest time saver. Once you deploy the connector in a network, it automatically discovers devices and applies the appropriate monitoring templates, which are the modules, and eliminates almost all manual configuration work, so we don't have to write scripts to monitor new servers or devices, and everything shows up on the dashboard for monitoring.

    The unified dashboarding and customization are highly flexible, allowing me to create everything from high-level executive views to deep dive technical troubleshooting views. The pre-built LogicModules are good out-of-the-box, and although there are many, they are a time saver.

    LogicMonitor has positively impacted our organization by especially improving service reliability and user experience. The dynamic alerting and root cause analysis have helped us fix issues before they cause a full-blown outage or degrade performance for end users. When an incident occurs, we can use the topology maps to pinpoint the root cause in minutes instead of hours, minimizing business disruption. The strategic alignment and risk management has made our IT become a business partner as opposed to just a cost center.

    What needs improvement?

    I wish the user interface would be customizable to allow users to create personal context-specific workspaces to hide irrelevant data, rather than trying to have a one-size-fits-all interface. This would go a long way, as would introducing a usage-based pricing model for data ingestion, per GB of metrics or logs alongside a device-based model similar to New Relic , which would be more attractive for cloud-native companies with dynamic infrastructure.

    While dynamic alerting is great, the overall alerting system can be complex to configure. If LogicMonitor looks into going beyond the topology-based correlation to include AI that can group related alerts from different parts of the stack into a single probable cause incident, that will significantly improve the system.

    For how long have I used the solution?

    I have been using LogicMonitor for three years now.

    What do I think about the stability of the solution?

    LogicMonitor is stable, 100%.

    What do I think about the scalability of the solution?

    LogicMonitor's scalability is very satisfactory.

    How are customer service and support?

    Customer support is on point and very well trained. I have interacted with their support team and had a good experience.

    How would you rate customer service and support?

    Positive

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

    I previously used DataDog but switched due to the complexities and pricing.

    We switched from DataDog to LogicMonitor because of the complexities, pricing model, and predictability. LogicMonitor gave us a device-based pricing model that is highly predictable for our organization, which is key.

    How was the initial setup?

    I had a few challenges with pricing and setup cost, but with the help of their sales executives, we were able to have a straight path on what to purchase and get. We used the core pricing model which was device-based licensing, straightforward, although the complexity and unpredictability of cloud resources made it harder for us to go for cloud, but we had a smoother experience with the help of the sales executives.

    What was our ROI?

    The return on investment focuses on risk mitigation and operational efficiency to enable the business to run. The return is more of value and savings in preventing costly downtime, making the savings of about $60,000 which we would have lost without LogicMonitor, and in IT staff efficiency, we save approximately 15 hours a week.

    From the time we started using LogicMonitor, it has reduced downtime significantly to about 60-70%, and in terms of business operations, the time to recover and time to get users up and running has reduced dramatically, almost 60%. It has enabled us to prevent more losses, saving the organization about $60,000 over the past year, had those incidents occurred.

    Which other solutions did I evaluate?

    Before choosing LogicMonitor, we evaluated Sentinel , which was too expensive, and another major player, but we wanted something that had cost predictability.

    What other advice do I have?

    I would advise others looking into using LogicMonitor that if they are looking for something stable regarding stability and price-wise, they should consider it. On a scale of 1-10, I rate LogicMonitor an 8.

    Which deployment model are you using for this solution?

    On-premises

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

    Other
    Keerthi R.

    LogicMonitor: When AI Watches Your IT

    Reviewed on Sep 11, 2025
    Review provided by G2
    What do you like best about the product?
    What I like best about LogicMonitor is how it makes monitoring feel effortless. The AI-driven insights cut through the noise, so instead of drowning in alerts, I get clear, actionable information. It’s also great at giving end-to-end visibility across systems, which makes troubleshooting and performance tuning so much faster. Overall, it helps me focus less on chasing issues and more on actually improving operations.
    What do you dislike about the product?
    The setup can feel complex at first, and the UI could be more intuitive for new users.
    What problems is the product solving and how is that benefiting you?
    LogicMonitor helps us solve the problem of limited visibility and constant alert fatigue. With its AI-driven monitoring, we can see issues across our entire infrastructure in real time and even predict problems before they escalate. This has reduced downtime, sped up troubleshooting, and freed up the team to focus on improvements instead of firefighting. In short, it keeps our systems healthier and our workdays a lot smoother.
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