Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.
JenniferSoft Application Performance Management (APM) is a system management methodology that focuses on monitoring and managing application software performance and service utilization. Also, it is a tool that helps system availability and stable operation by monitoring and analyzing performance of operating systems. JENNIFER provides comprehensive and integrated performance monitoring through its many dashboard views, which include Real-user Monitoring and Real-time Topology. JENNIFER analyzes statistical data regarding system resources, application performance and errors with a view to achieving continuous and optimal service availability. JENNIFER's continuous monitoring helps with rapid detection and troubleshooting of performance problems. That can help prevent the problems from affecting service availability later. And minimizing system downtime and improving overall performance at the application and system levels greatly improves customer satisfaction.
New Relic is a powerful tool for optimizing web pages, tracking user behavior, and monitoring application performance. It helps detect anomalies, generate metrics, and create dashboards for synthetics monitoring, container workloads, stress tests, and more.
New Relic provides organizations with comprehensive insights into APIs, infrastructure, and scalability. It supports mobile and web applications with features like java tracking, health maps, customizable dashboards, and drill-downs. Users benefit from its easy initial setup, accurate alerts, UI monitoring, error tracking, and traceability. New Relic supports multiple ecosystems with straightforward pricing and new feature introductions, offering end-to-end monitoring, thorough data analysis, and effective problem resolution.
What are New Relic's most important features?New Relic is leveraged in industries such as e-commerce, finance, and technology. It helps monitor web traffic, evaluate load balancing, and ensure applications meet performance standards. Companies use it for stress tests, container-based workloads, API monitoring, and infrastructure management. Its integration capabilities are valuable for maintaining performance and scalability across diverse ecosystems, aiding in thorough data analysis and problem resolution.
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