Using Node.js as a JavasScript runtime has its advantages. However, it requires significant maintenance to keep it working as expected. Here are the top metrics you should monitor for Node.js performance measurement analysis. Application programming interfaces or APIs that use the Node.js runtime environment are scalable. Node.js is asynchronous and event-driven, which means the application can handle multiple connections at the same time.

The Java Persistence API (JPA) is used in most Java applications to interact with a relational database. One of its most popular implementations is the Hibernate ORM, because it uses object-relational mapping to abstract database interactions and makes implementing simple CRUD operations very simple. But this abstraction also has its downsides. Hibernate uses a lot of internal optimizations and hides all database interactions behind its API.

Performance profilers mainly aid developers in analyzing the performance of applications. The purpose is to improve poorly performing sections of code that make up the functions of the application. When you say performance profilers, common names that come to mind are Visual Studio performance profilers and Prefix by Netreo. In this article, we will focus on the specific Visual Studio profiling tools for memory and CPU usage.