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LogicMonitor Edwin AI
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.
Reviews (645)
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.
Brian D.
All the Data I Need in One Clear Logicmonitor Dashboard
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
Logicmonitor gives me all the data I need in one clear dashboard.
What do you dislike about the product?
Logicmonitor can be complex for custom solutions using application monitoring components.
What problems is the product solving and how is that benefiting you?
Logicmonitor allows me to get ahead of issues before they arise.
Higher Education
Proactive Issue Detection and Outstanding Infrastructure Discovery
Reviewed on Oct 02, 2026
Review provided by G2
What do you like best about the product?
It can proactively identify issues and provides a centralized, single-pane view of the entire infrastructure. The product’s performance is also extraordinary, especially when it comes to discovery.
What do you dislike about the product?
The initial onboarding of the infrastructure assets is a big headache. Also, customizing the dashboard and reports is very tedious.
What problems is the product solving and how is that benefiting you?
Currently, it helps reduce manual intervention and effort. Also, the troubleshooting time has come down. Major issues are identified upfront, and assets are monitored all the time, with alerts automated.
Tejas P.
Best-in-Class UI, Performance, and Support from LogicMonitor
Reviewed on Jul 16, 2026
Review provided by G2
What do you like best about the product?
Best UI and performance of the tool to get to know about alerting
Great level of ROI by using this tool, Support and onboarding help is always great with LogicMonitor, It provides integration with Teams which is the best to get the alert directly in Teams channel. AI is introduced to make the process faster
Great level of ROI by using this tool, Support and onboarding help is always great with LogicMonitor, It provides integration with Teams which is the best to get the alert directly in Teams channel. AI is introduced to make the process faster
What do you dislike about the product?
there is nothing to dislike about LogicMonitor at this point of time
What problems is the product solving and how is that benefiting you?
Great level of alerting configuration and wide variety of network firewall products can be configured.
Information Technology and Services
Wide-Ranging Integrations Across Cloud and On-Prem
Reviewed on Jul 15, 2026
Review provided by G2
What do you like best about the product?
It offers a wide range of potential integration methods across both cloud and on-premises platforms and infrastructure.
What do you dislike about the product?
It’s difficult to simply suppress linked alerts without having to do additional configuration. Also, many of the more advanced features seem to require a higher-cost subscription tier.
What problems is the product solving and how is that benefiting you?
It provides reliable assurance that our monitoring data is consistently captured and that historical metrics are easy to review. Its stability gives us confidence that we can identify root causes, correlate incidents, and then adjust monitoring thresholds or address any component that may be failing.
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.
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.
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.
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.
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.
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.