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.
Today’s enterprises must manage a massive amount of machine data. They require a platform that enables engineering teams to deliberately route and store structured and unstructured data for different teams with unique use cases. Legacy platforms weren’t made for this moment.
Mezmo, formerly LogDNA, lets organizations ingest, process, route, analyze, and store all of their log data. Purpose-built for modern engineering teams—including developers, SREs, IT Operations, and Security Engineers—the Mezmo platform is trusted by thousands of companies for SaaS, cloud, and hybrid applications.
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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