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    LogicMonitor Edwin AI

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    Deployed on AWS
    Edwin AI is an AI agent for ITOps: purpose-built to accelerate incident investigation, resolution and eliminate operational noise in the modern data center. An agentic AIOps product, Edwin AI combines cross-domain alert correlation, root cause analysis, and autonomous remediation, transforming IT operations and delivering measurable impact-reducing alert fatigue, speeding resolution, and boosting productivity.
    4.5

    Overview

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    Edwin AI is an agentic AIOps product built to act, not just observe. It correlates alerts, identifies root causes, and recommends remediation. Edwin AI helps IT teams eliminate noise, resolve incidents faster, and scale workflows with confidence. Teams can move from daily firefighting to proactive operations, increasing productivity and scaling capabilities without increasing headcount. Built on Amazon Bedrock, Edwin AI leverages model flexibility, native agent capabilities, and AWS integration to autonomously triage, correlate, and remediate incidents at scale. Customers have seen immediate results like 80% noise reduction, 30% fewer ITSM incidents, 60% faster MTTR, and a 20% boost in operational efficiency. Designed for real-time operations, Edwin AI deploys quickly and delivers measurable impact in days, not months.

    Highlights

    • Agentic AIOps: Edwin AI is a native, purpose-built AIOps product, designed for IT operations teams. It brings contextual understanding of the ITOps environment and observability dataset to correlate events, identify root causes, and drive remediation.
    • Unified Data Context: Edwin AI stitches together observability telemetry, CMDB data, topology, and ITSM context into a unified ITOps knowledge graph, enabling explainable, data-driven decisions across hybrid environments through over 3,000 integrations.
    • Quick Time-to-Value: Edwin AI delivers immediate measurable improvements in alert noise, MTTR, and ITSM ticket volume.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    LogicMonitor Edwin AI

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    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.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Overage cost
    LogicMonitor Edwin AI
    Edwin AI with auto-billing of overages
    $120,000.00

    Custom pricing options

    Request a private offer to receive a custom quote.

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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.

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    Customer reviews

    Ratings and reviews

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    4.5
    641 ratings
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    641 external reviews
    External reviews are from G2 .
    Jogindar S.

    LogicMonitor Topology Mapping: Real-Time Dependency Visibility for Complex Cloud Infrastructure

    Reviewed on Jun 16, 2026
    Review provided by G2
    What do you like best about the product?
    LISTEN TO ME. I'm not referring to the normal dashboards. I'm not referring to the basic alerts. I'm referring to Topology Mapping feature. You guys, I literally have got a certain mania going on here. It's not only ‘good' – it's life-changing for both anyone with complex cloud infrastructure!
    The majority of monitoring systems merely provide a list of green/red boxes. Boring! LogicMonitor's Topology Map is not only a visualization of the relationships between all the resources, but it is visualizing this relationship in real time. Yesterday I just sat for 3 hours looking at the maps that one generates by using our hybrid environment. It's great at capturing the dependencies – if one microservice in AWS is communicating with an on-prem database, it'll capture that dependency instantly. This is as if you had x-ray vision on your architecture! I've never seen any dependency chains so accurate, dependency-wise, on maps! It’s pure magic. I'm sending this information to all of the architects that I know—to say that if you don't have this on a map, you are flying blind!
    What do you dislike about the product?
    It is the only one thing I don't like, that I did not discover this feature before. I've been working this way for years; manually creating out-of-date Visio drawings of architectures that made me feel like I've wasted a bunch of years doing the wrong thing. Those diagrams are outmoded, unless you're using LogicMonitor. Come on, simply buy it. Instead of just reading this why aren't you already a member? Go get a demo!
    What problems is the product solving and how is that benefiting you?
    Dependency Hell: Minor update in a middleware caused problem to an upstream service that we didn't know was there, which broke our services and caused the outage last month. LogicMonitor's Topology Mapping was able to show us the dependency within seconds. No more game of cat and mouse!
    Onboarding: No longer handing documents out when new engineers come on-board. I simply log them in to the LogicMonitor map. It's the truth and nothing more than the truth!
    Total Clarity: I'm sleeping better at night because I can see everything that's going on my infrastructure. It isn't only monitoring, it's architectural enlightenment!
    BUY IT NOW. DON'T WAIT.
    Nidhi S.

    Predictive Forecasting Controls Are a Math Nerd’s Dream

    Reviewed on Jun 14, 2026
    Review provided by G2
    What do you like best about the product?
    Senior advised me just to watch the alerts from the server. I'm Data Analyst intern, I don't care about pings on the server. I looked through the metric graphs, and noticed the “Predictive Forecasting” settings. The "Training Window" slider (30 days, 90 days, or customized offset) can be adjusted manually to train this Holt-Winters math model. This is possible even for changing confidence interval! If you're not one of the happy normal users, but you're a math nerd, you can see the HTML5 canvas training forecast line change when you change the training offset (if you don't, you can lock it), and that's pure heaven.
    What do you dislike about the product?
    This is a beautiful feature that they don't publicise! The training slider is deep within the two sub-menus in widget settings. Other than that, if I export to CSV, it only includes historical raw data and not forecasted coordinate points computed. I don't like having to copy coordinates for my Python script!
    What problems is the product solving and how is that benefiting you?
    Manager wants to know what will be the first time that our database disk is going to be full? Rather than manually regressing the data for a few hours, I employed this forecast tool. I set training window to disregard the temporary training data spikes last month, and BOOM! It gave exact date (October 14th). I've been blown away by my prediction slide deck. Made my internship by getting a niche feature!
    Tiya P.

    LogicMonitor has cut our MTTR 42% and provided tight ROI.

    Reviewed on Jun 13, 2026
    Review provided by G2
    What do you like best about the product?
    I'm DevOps engineer, I am measuring everything in numbers. We have been using LogicMonitor for a total of 14 months. Best part is having an agentless collector architecture. We installed collector on 1 standard VM and in 2 hours it discovered more than 650 network devices & servers. This reduces manual set up time by 80% versus previously used agent based tool.
    Ring logic is good. We used switches for dynamic thresholds for CPU and memory instead of static thresholds. This was the reason alert noise is going down by 62%. We were receiving 400 alerts a week from our on call team and now we are receiving 150 actionable alerts a week! Full support for integration with Terraform. Monitoring is "As Code". Very low API response time - always <50ms for metric queries.
    What do you dislike about the product?
    pricing model is strictly on the number of devices. We have both Kubernetes and AWS auto scaling groups in place. Occasionally short-lived containers and or EC2 instances are being started for 1 hour, as a result that is consuming licence quota. Due to this, we are paying 12% more than we expected on our monthly bills.
    What problems is the product solving and how is that benefiting you?
    Main problem it is solving is hybrid infrastructure visibility. We have 30% on-premise data center and 70% AWS cloud. Both now in a single pane of glass dashboard.
    Benefit can only be quantitative:
    Now, with the visibility into the exact root cause node in dashboard, Mean Time to Resolve (MTTR) is improved to 26 minutes, down from 45 minutes (42% improvement).
    The uptime of the infrastructure is improved from 99.91% to 99.99% for last two quarters.
    Capacity planning report made it very easy to identify and downsize 40 idle VMs. This optimization is soaring the savings in cloud billing by a sum of exactly $3,200 a month.
    Complete overall ROI is realized after just 8.5 months.
    Ranjit P.

    Hands-Free Multi-Cloud Monitoring with Easy Collector Setup and Fast Alerts

    Reviewed on Jun 12, 2026
    Review provided by G2
    What do you like best about the product?
    As a Cloud Engineer, I am currently responsible to manage large multi-cloud (AWS & Azure) infrastructure for my organization. Best thing I like about LogicMonitor is the collector setup. We simply deploy one collector in our VPC and it automatically discovers all cloud resources. Does not require deploying agent on all servers or databases. Works with all cloud services such as ACKS, EKS, RDS and other cloud services.
    Dashboards are very interactive and easy to build. I built a lot of custom dashboards for app teams and database teams to view their own metrics. Also, alerting is very fast and reliable. When any one of my pods is crashing or when the CPU hits 90, I receive Slack and PagerDuty messages immediately. Easy to set, but once it is in place it will be totally hands-free.
    What do you dislike about the product?
    If your cloud environment is extremely large and you have thousands of resources then pricing is a bit on the high side. But sometimes we are getting alarm storm if we don't tune the default thresholds correctly during starting up.
    Another thing is writing custom datasources. If default monitoring is not there, we need to write scripts in Groovy for custom datapoints. For beginners, learning Groovy for monitoring is very difficult and slow. Further, if you place too many graph widgets in a single dashboard, UI will be slow loading sometimes.
    What problems is the product solving and how is that benefiting you?
    We currently check AWS CloudWatch, Azure Monitor, standalone network tool for checking issues. It was big headache to jump between portals. At the moment we have one pane of glass for all.
    Helping me find the root cause of an issue very quickly. Application speed is slow—server metrics, network traffic and database load all can be viewed in one place, simultaneously. It saves our lot of time and MTTR (Mean Time to Resolve) is reduced nicely. Obtaining bugs before it's being reported to us.
    Diya P.

    The "All in one" monitoring tool, very useful for DevOps".

    Reviewed on Jun 12, 2026
    Review provided by G2
    What do you like best about the product?
    We have been using LogicMonitor in my company for some 1 year. The best thing I like is that it can monitor servers, network, cloud (AWS, Azure) and everything in one dashboard. Deploying collectors, and they auto-disonnect everything was really easy. The alerts are extremely speedy and PagerDuty and Slack integration seems to be doing wonder for our on call team. Dashboards are utterly flexible, I created separate dashboards for management, and for technical team. Saves me tons of time locating problems.
    What do you dislike about the product?
    The loading of the UI with a large number of widgets on the dashboard is sometimes a bit slow. Also, the generation of custom (complex) datapoints/custome scripts for monitoring has some learning curve and in the beginning you might find it not so easy to understand. Also the price is a little bit on the expensive side when have a whole slew of devices to track. Occasionally, thresholds are not well tuned from the beginning, which can cause us false alerts.
    What problems is the product solving and how is that benefiting you?
    Prior to this, we had 3-4 different tools which we were using for various purposes. We now have a place in central monitoring for all of our monitoring. It provides us excellent information about infrastructure performance. We receive the alert if the server's CPU goes high, before customers complain that their site is down. I use it to get incident resolution done a lot quicker as my team can view metrics and logs all in a single place. It simplifies overall the management of the infrastructure for DevOps teams.
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