My main use case with LogicMonitor is monitoring the health of our EC2 instances and applications, such as my Kubernetes clusters, and the metrics which AWS does not provide, like memory management, memory utilization, and many other information points which AWS does not provide by default. LogicMonitor handles all of that.

I use LogicMonitor to monitor the EC2 CPU, memory, disk, and network metrics and set up threshold-based alerts. I am notified immediately if an instance spikes in usage or shows signs of performance degradation.

I use LogicMonitor to alert me when an EC2 instance CPU stays above 80% for 10 minutes, so I can quickly investigate whether it is a workload spike, a stuck process, or if we need to scale the instance. We have LogicMonitor integrated with Slack where we get alerts if anything goes wrong for an instance, the Kubernetes cluster, or anything similar.

The best feature according to me with LogicMonitor is that it is easy to configure. All the alerts are very easy to configure. It has a clean dashboard that is very intuitive. It has really strong EC2 cloud integrations. You do not have to install the agent. It is agentless, so that is the biggest advantage that I find because in other tools like Rapid7, you have to install the Rapid7 agent inside the instance. Here, we just need to have an instance in our VPC, and it will automatically scan all the instances and give me the stats for those instances.

What stands out most is how quickly I can spot issues, get notified with the right context on Slack, and track trends over time without a lot of manual steps.

The agentless setup reduces a lot of time because we do not need to add any code. We do not need to add any specific code in order to monitor that instance. Any instance that spins up in my AWS account which is in the same VPC as the LogicMonitor collector instance will automatically get picked up and all the statistics will be there. It is very easy with no setup. The only setup effort that I have to do is setting up one instance per VPC. Once that is done, we do not need to worry about it ever.

Another thing which I prefer about LogicMonitor is the flexibility. I can customize dashboards and alert thresholds based on what actually matters for our workloads. The historical data makes it very easy to spot patterns and prevent repeated issues.

LogicMonitor helps because there are two phases of alerts in any application. One is when the application is actually down. That happens when you have your monitoring system on your website or application level. However, that is too late to find out whether the application is down because at that time, it will be impacting the customers. LogicMonitor can give a kind of forecast when it comes to your servers because it will tell beforehand that particular servers are getting heavy on usage or CPU load. We can then go and either reduce its load or add another instance to share the load. This helps in prevention of any downtimes. It has helped significantly in our downtimes to prevent downtimes.

LogicMonitor has actually helped reduce our downtimes. When talking about the statistics, it has helped us reduce downtime to about 40 to 50% because without LogicMonitor, we used to know about the downtime only when the application was actually down. With it, the downtime has been reduced to 40 to 50%. That is a huge improvement when it comes to our applications.

When it comes to the improvement of LogicMonitor, I think there are a few points that can be improved. The first one is alert tuning, which takes time. It requires effort when trying to understand it for the first time. The defaults do not always match our workload patterns, so I have to adjust the thresholds to reduce noise and avoid alert fatigue. While the dashboards are solid, I sometimes wish that the UI was a bit more intuitive when drilling down quickly during an incident. There are many options and finding the exact view where I can identify the exact problem takes a few extra clicks. When an alert comes and I click on a LogicMonitor alert, it takes time to understand what the alert actually is and to go through the data points. The alert page specifically could be better. The alert tuning part can also be made more simple.

The first area that could be better is alert clarity and routing. Sometimes alerts do not include enough immediate context, so I still have to spend a few minutes correlating data across views. Adding more actionable details directly in the alert would make the response even faster. LogicMonitor sometimes gives false alerts as well. For example, if an EC2 instance is down, it will not determine whether the EC2 instance has been deliberately turned off or if it is actually not responding. At that time, it will give false alerts. The clearing of alerts is also an issue. Once an issue is fixed, the alert should be cleared, but it takes a little time for that alert to be cleared. Another improvement that would be helpful is simpler customization for complex dashboards. It is powerful, but building highly tailored dashboards, especially across multiple environments, can feel heavy and time-consuming. I would also appreciate a stronger out-of-the-box AWS correlation, such as automatically grouping related issues across EC2, EBS, and ALBs in a way that reads as a single incident story. This would reduce the mental overhead during outages. Grouping incidents together, such as all the EC2 alerts, all the EBS alerts, or all the load balancer alerts would be beneficial. Overall, none of these are blockers, just some improving areas.

There could be smarter anomaly detection out of the box that can catch unusual but important behavior without manual tuning of every threshold. Better tagging and dynamic grouping for EC2 instances would also be helpful. Cleaner alert de-duplication so a single underlying issue does not generate multiple redundant alerts would improve the system. More guided root cause workflows would be beneficial, such as providing the most likely causes based on correlated metrics. Faster search navigation across devices, dashboards, and alerts during incidents would also improve the platform.

I have been using LogicMonitor for the past three years.

LogicMonitor is very stable. I have never seen the UI down or any alerts or anything when it comes to the LogicMonitor side. It has been very stable for us. The platform is reliable, alerts are consistent, and once collectors and integrations are in place, monitoring runs smoothly with minimal disruption. Any issues we have seen are usually related to configuration or tuning, not the stability of the tool itself.

LogicMonitor is pretty good at scaling things when it comes to monitoring AWS infrastructure because I can see that it scales very well for us. It handles growth in the number of EC2 instances and services without major performance issues. It is straightforward to onboard new resources as environments expand. The main scaling challenge is not the platform itself, but making sure alerting and grouping stays organized as the infrastructure grows. Apart from that, there are no other challenges.

The customer support is very reliable. I can send emails to them and they will reply within 24 hours. It has been solid for us.

When it comes to customer support, I would rate it as a 7 because the option to call LogicMonitor support is not yet available. They do not give us the option to connect over a call. That can be a little bit of a hassle, but apart from that, it is solid.

Positive

Before LogicMonitor, we were using CloudWatch and a mix of manual dashboards, but it did not give us the same centralized visibility or alerting consistency. We had to go into each AWS account and open CloudWatch in that particular region. That was very tedious and cumbersome. We switched to LogicMonitor because it provides stronger end-to-end monitoring, better dashboards, and faster and more actionable alerts across our infrastructure. It is easy to view the alerts across all of our AWS accounts and regions. That is a big help for us.

There were a few challenges which I faced while setting up LogicMonitor with my AWS infrastructure. The first one was the initial discovery and onboarding, which took some effort. I needed to ensure the right AWS permissions, collectors, and access policies because that instance needs to access some sort of data while keeping in mind the security aspect so that the instance does not have every access. We give limited permissions to that particular instance and the IAM role associated with it. The next challenge was tuning alerts, which was the biggest time investment early on. The default thresholds did not always match our workload behavior. I had to adjust to reduce noise. Getting dashboards just right required some trial and error, especially when grouping EC2 instances by environment, tags, or services. Making sure the coverage was complete across hybrid components took time. We also have our servers in a vSphere infrastructure. I had to first identify all of our infrastructure and then carefully install a collector instance in each of the VPCs. That took time and effort, but it was all initial.

There has been definitely a return on investment when it comes to LogicMonitor. Previously, due to the downtimes, we used to have more infrastructure running because we were concerned about unexpected downtimes. Because of LogicMonitor, we have reduced our EC2 infrastructure significantly, which has helped us reduce costs by 20%. The time which is saved is significant. The incident response is better because there are no incidents and we are always preventing the incidents before they happen. The incident response time has also reduced significantly. When an alert comes, we also check LogicMonitor to see whether there was a warning there or not. This helps us pinpoint the issue. We can give a conservative percentage of 40 when it comes to the time saved. Fewer employees are needed now, so we used to have three to four people managing all the AWS infrastructure and the alerting part, which was reduced significantly because now only one person can look at the dashboard and the UI, which is very intuitive and easy to understand. It has also helped us reduce employees.

There were a few options which we considered before going with LogicMonitor. They included DataDog, New Relic, or staying fully on CloudWatch. We went with LogicMonitor because it gave us the right balance of infrastructure visibility, flexible alerting, and centralized monitoring without needing a lot of custom work and making it very useful in our day-to-day DevOps lifecycle.

If asked about LogicMonitor, I would simply say that if someone wants to consider LogicMonitor, they can definitely go for it. The only things that will need to be done is spending time upfront on alert tuning, setting up the collector instances, and giving them permissions. Apart from that, once that is done, it will be smooth sailing. There is no need to do anything as it is agentless. One just adds infrastructure, expands infrastructure, and it will automatically detect and discover. The alerting part is also very good. I would rate LogicMonitor with a review rating of 8 out of 10.

LogicMonitor is a solid end-to-end tool when it comes to monitoring AWS infrastructure. It is agentless, easy to set up, and easy to monitor.

Positive

Positive