

LogicMonitor and Amazon CloudWatch compete in the monitoring space. LogicMonitor holds an advantage for enterprises due to superior visualization and customization, while Amazon CloudWatch is favored for seamless AWS integration.
Features: LogicMonitor provides deep insights with customizable dashboards and two-year raw data retention. It supports NetFlow for network troubleshooting and has anomaly detection. Amazon CloudWatch offers AWS service monitoring with tools like Kinesis Data Firehose and CloudWatch Logs, though its customization is more limited outside AWS.
Room for Improvement: LogicMonitor needs to improve topology mapping, reporting, and mobile app capabilities. It also requires refinement in user customization and automated remediation. Amazon CloudWatch should enhance dashboard customization, expand third-party integrations, and simplify its alerting system.
Ease of Deployment and Customer Service: LogicMonitor supports hybrid, on-premises, and cloud deployments, with high customer satisfaction for service. Amazon CloudWatch is ideal for cloud-native organizations due to AWS integration, though support quality varies.
Pricing and ROI: LogicMonitor is a premium solution with extensive customization, offering strong ROI by reducing repair time. Amazon CloudWatch is cost-effective for AWS users with a pay-as-you-go model, but careful usage monitoring is necessary to manage costs.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
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%.
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.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
Customer support is on point and very well trained.
We need to be able to reach them in real-time, and without those kinds of options available, we have to set up ad hoc calls, which could be improved.
I can send emails to them and they will reply within 24 hours.
It is already there as a managed service from AWS.
Amazon CloudWatch's scalability is managed by AWS.
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.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
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.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
We are in a process of integrating Grafana, Loki, and Prometheus to have better visualization on Amazon CloudWatch.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
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.
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 container monitoring seems to be really behind compared to some bespoke cloud-native monitoring solutions that are designed around Kubernetes, containers, and ephemeral environments.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
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.
Amazon CloudWatch allows me to set up and view even historical logs, which is one of the features I find valuable.
If there is a CPU spike or system issues, we set alarms to notify us if the system is going down or not reachable.
I like its filtering capability and its ability to give the cyber engine insights.
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 | Market Share (%) |
|---|---|
| Amazon CloudWatch | 1.3% |
| LogicMonitor | 0.9% |
| Other | 97.8% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 11 |
| Large Enterprise | 10 |
Amazon CloudWatch integrates seamlessly with AWS, providing real-time monitoring and alerting features. Its interface supports task automation, enhancing troubleshooting and analytics capabilities, while offering strong security and scalability at a cost-effective rate.
Amazon CloudWatch is an impactful platform for monitoring AWS resources and managing application performance. It simplifies infrastructure performance monitoring by providing comprehensive analytics capabilities, including application insights and event scheduling. Users appreciate CloudWatch for its detailed metrics, dashboards, and support in issuing alerts to detect anomalies. It efficiently tracks performance, optimizes resource utilization, and ensures service availability. CloudWatch is recognized for its robust alerting features and integration with other AWS services, further supporting its resource monitoring capabilities. However, there is room for improvement in dashboard customization, log streaming speed, and integration with non-AWS services. Enhancements in API integration, machine learning features, and support for third-party tools are also desired.
What features does Amazon CloudWatch offer?Industries implementing Amazon CloudWatch often focus on optimizing IT infrastructure. Companies in sectors like finance and e-commerce rely on its monitoring and alerting capabilities to ensure service uptime and performance. The platform's automation and analytics features empower teams to proactively manage performance and detect potential issues promptly.
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.
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