Application Performance, Errors, Logs & Traces, All in One Platform!
Squash bugs for good. Find and fix application errors in minutes. Monitor as many servers as you want. Add unlimited users. No credit card required.
?Sounds too good to be true, but that's Retrace! Start your FREE, 14-day test drive, and experience the best APM solution ever.
ML & APM: The Role of Machine Learning in Full Lifecycle Application Performance Monitoring
Traditional application monitoring methods are often reactive, resolving concerns after the process already affected the user experience.?Moreover, the staggering amount of data applications produce makes manual monitoring and analysis impractical. ML introduces an innovative solution to these pain points and more with an ability to analyze bulk amounts of data, predict future trends, recognize patterns and automate intricate processes can revolutionize full lifecycle APM.?
领英推荐
Python Garbage Collection: What It Is and How It Works
Python ranked first in the TIOBE language of the year in 2022 and 2023 due to its ease of use, popular fit for data analysis, web applications, and task automation, plus a very large and active community. In this post, we’ll take a practical look at how you should think about garbage collection when writing your Python applications, covering the basics of memory management and how to effectively implement garbage collection in your next Python app.
How Log4J2 Works: 10 Ways to Get the Most Out Of It
Log4j2 is the popular and influential log4j library that has been used extensively throughout the Java ecosystem for many years. Version 2.x builds atop all the logging features of its predecessor with some significant improvements, especially in the area of performance. And of course, given how instrumental logging is for any application, both for audit and debugging purposes, choosing a solid logging library is quite an important decision.