Best Application Performance Monitoring (APM) Software

Scout Monitoring is Application Performance Monitoring (APM) that finds what you can't see in charts. Scout APM is application performance monitoring that streamlines troubleshooting by helping developers find and fix performance issues before customers ever see them. With real-time alerting, a developer-centric UI, and tracing logic that ties bottlenecks directly to source code, Scout APM helps you spend less time debugging and more time building a great product. Quickly identify, prioritize, and resolve performance problems – memory bloat, N+1 queries, slow database queries, and more – with an agent that instruments the dependencies you need at a fraction of the overhead. Scout APM is built for developers, by developers, and monitors Ruby, PHP, Python, Node.js, and Elixir applications.

Remote logger, crash reporter and in-app user feedback Bugfender is a log storage service for application developers. Bugfender collects everything happening in the application, even if it doesn’t crash, in order to reproduce and resolve bugs more effectively and provide better customer support. Bugfender respects your user's privacy, is battery and network efficient and keeps logging even if the device is offline. Track and destroy bugs before users even notice. Bugfender logs all bugs on all devices and sends the results in seconds - enabling you to find and fix bugs before your users even get an error message. Achieve 5-Star Ratings. Bugfender doesn’t just log bugs and crashes. It logs all the information you’ll ever need so you can build a clear picture of your users and earn those crucial five-star ratings. Deliver world-class customer service. Our logging tool enables you to target individual users and provide personalized customer support.

Discover, predict, and resolve errors in real-time. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.