

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Because of LogicMonitor, we have reduced our EC2 infrastructure significantly, which has helped us reduce costs by 20%.
Downtime on each network asset has been reduced, and there is now better visibility for the operations team to manage 24/7 support.
AWS support is very good.
Within one day, I received a script, and LogicMonitor was able to provide the firewall configuration in LogicMonitor on the same day I submitted the request.
We have quick assistance where they go into the server, look for the issue, and if they find anything, they report to us immediately and within 10 to 15 minutes it is resolved.
Customer support is on point and very well trained.
Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.
They are not licensed, so you could deploy one collector or 1,000 collectors for the same cost.
LogicMonitor's scalability absolutely meets our organization's growth needs.
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.
The platform is reliable, alerts are consistent, and once collectors and integrations are in place, monitoring runs smoothly with minimal disruption.
It is very stable. I have never seen LogicMonitor itself go down.
Since we implemented LogicMonitor and got it working in production, there has been no downtime, no reliability issues, and nothing major regarding flare-ups from LogicMonitor's perspective.
This complexity led me to migrate to CloudFormation, which simplifies the deployment process.
It requires a downtime before deploying the Auto Scaling group.
If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help.
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.
For example, when we monitor a particular device with a temperature issue or high-temperature problem, sometimes I observe that in real time when I log into the device, the temperature shows something that does not accurately match what is displayed on the LogicMonitor platform.
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.
The pricing of Auto Scaling is medium range, neither high nor low.
For small businesses that want to utilize LogicMonitor and are just starting out with limited customers, a pricing model targeted to this segment would be beneficial, perhaps at three or two dollars per device per month.
The pricing model is subscription-based.
My experience with pricing, setup cost, and licensing was all feasible; it wasn't that expensive.
During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.
The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling.
Its automatic scaling capabilities are very useful.
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.
Our SLAs and SLOs were averaging about 10 to 15 failed SLAs and SLOs that were over the time allotted to get those resolved, and those are now down to about two to three per week.
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.
| Product | Mindshare (%) |
|---|---|
| LogicMonitor | 1.6% |
| AWS Auto Scaling | 0.5% |
| Other | 97.9% |


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 2 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 12 |
| Large Enterprise | 29 |
AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.
AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.
What are the key features of AWS Auto Scaling?In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.
LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.
LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.
What are LogicMonitor's key features?LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.