LogicMonitor and Amazon CloudWatch compete in the IT infrastructure monitoring category. LogicMonitor has the upper hand in deployment flexibility and customer service, whereas Amazon CloudWatch shines with seamless AWS integration and competitive pricing models within AWS.
Features: LogicMonitor offers interactive dashboards with fast data visualization, granular alert tuning, and a suite of LogicModules for customized monitoring. Amazon CloudWatch provides seamless integration with AWS services, detailed metrics, robust alarms, and comprehensive data analytics with a focus on real-time infrastructure insights.
Room for Improvement: LogicMonitor could enhance its parent/child alarm logic, resource view expansion, and alert customization. Users find challenges with data source tuning and SLA reporting. Amazon CloudWatch users seek better dashboard visuals, a more intuitive UI, and improved integration. Reports, real-time data streaming, and application performance metrics also present opportunities for enhancement.
Ease of Deployment and Customer Service: LogicMonitor supports deployments in public, hybrid, and on-premise environments and is noted for its responsive support. Amazon CloudWatch benefits from seamless integration with AWS services and is available across public platforms, though users desire better regional aggregation and expert-driven support for complex scenarios.
Pricing and ROI: LogicMonitor, as a premium offering, delivers strong ROI with reduced false alerts and operational efficiencies, though costs can be high for large environments. Amazon CloudWatch operates on a competitive pay-as-you-go model within AWS, offering value for AWS-based setups, yet custom metric costs face scrutiny. Both solutions excel in delivering operational analytics and cost-effectiveness tailored to their pricing strategies.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
Amazon CloudWatch's scalability is managed by AWS.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
I like its filtering capability and its ability to give the cyber engine insights.
Amazon CloudWatch is used for monitoring, tracking logs, and organizing metrics across AWS services. It detects anomalies, sets dynamic alarms, and automates actions to optimize cloud utilization, troubleshoot, and ensure service availability.
Organizations leverage Amazon CloudWatch for collecting and analyzing logs, triggering alerts, and profiling application performance. It's also employed for monitoring bandwidth, virtual machines, Lambda functions, and Kubernetes clusters. Valuable features include seamless integration with AWS, real-time data and alerts, detailed metrics, and a user-friendly interface. It provides robust monitoring capabilities for infrastructure and application performance, log aggregation, and analytics. Users appreciate its scalability, ease of setup, and affordability. Additional key aspects are the ability to create alarms, dashboards, and automated responses, along with detailed insights into system and application health. Room for improvement includes dashboards and UI enhancements for better visualization and customizability, log streaming speed, advanced machine learning and reporting capabilities, pricing, and integration with non-AWS services and databases. Users also seek more real-time monitoring and comprehensive application performance features, and simpler alerts and configuration processes.
What are the most important features?
What benefits and ROI can users expect?
Amazon CloudWatch is implemented across a range of industries, including technology, finance, healthcare, and retail. Technology firms use it to monitor application performance and traffic, while financial organizations leverage it for ensuring compliance and system reliability. Healthcare entities rely on it for maintaining service availability and monitoring data flow, and retail companies utilize it for tracking customer interactions and optimizing server usage.
LogicMonitor provides infrastructure and network monitoring, alerting, and reporting across environments like AWS, Azure, and on-premises.
LogicMonitor aids businesses and managed service providers in maintaining system health, performance, and availability. It supports various technologies including Citrix, Cisco Voice systems, operating systems, virtual machines, and network devices. Businesses benefit from dashboards and data insights for proactive management, customizable data sources, and integration with third-party applications like Slack or ServiceNow. AI technology enhances monitoring capabilities by recognizing normal behavior and updating monitored elements, while multiple monitoring features consolidate data sources into one interface.
What are LogicMonitor's key features?
What benefits or ROI should users expect?
LogicMonitor is utilized across diverse industries by managed service providers to ensure seamless monitoring and management of clients' systems. This includes application performance monitoring, manual topology mapping, SLA calculations, and improvement of role-based permissions. Companies also seek enhanced resources view, better collector upgrade processes, and streamlined customization for monitoring from the repository.
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