Find out what your peers are saying about Splunk, New Relic, IBM and others in IT Operations Analytics.
Product | Market Share (%) |
---|---|
New Relic | 14.2% |
Axway Sentinel | 1.3% |
Other | 84.5% |
Company Size | Count |
---|---|
Small Business | 65 |
Midsize Enterprise | 49 |
Large Enterprise | 60 |
Axway Sentinel delivers the real-time visibility that enables IT managers to manage SLAs, ensure regulatory compliance and avoid losses and penalties that can run into the hundreds of millions of dollars.
Sentinel is event-driven, and has the ability to correlate events from both Axway and third-party applications and systems. Sentinel enables you to easily create intuitive dashboards that can be displayed as a web page or on a mobile device, giving your business managers and IT staff clear visibility into all data flows — including file transfers, B2B transactions, web services and APIs — in one central location.
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.
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