Profiling

What is Code Profiling? - A Detailed Explanation

Few lines of code, no matter how great your development team is, run at peak performance when they're originally developed. To discover the most effective technique to make code run quicker, it must be evaluated, debugged, and reviewed. How can software engineers and quality assurance engineers ensure that their code is fast, efficient, and ultimately valuable? The approach is to evaluate an application's code and discover and resolve performance bottlenecks using code profiling.

PHP Profiling: Find Slow Code in Your Application

Over the course of two decades, a lot of data has been made available online in order to fully realise PHP's potential. It is one of the most widely used programming languages, and some consider it to be one of the easiest to learn. Even the most advanced languages require some assistance. Many PHP tools available in its vast ecosystem can be of assistance. The most valuable tool is a PHP profiler. In general, profilers are beneficial to all levels of developers.

How to Troubleshoot Performance with a Visual Studio Profiler

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.

Optimized: Using A JavaScript (JS) Profiler For Improved Performance

No matter what you’re coding, there’s always room to optimize your code and improve performance. This can be a painstaking process, and if you’re going over your code line by line you’d better cancel all your plans and forget about getting any sleep! Fortunately, there are better ways to examine and optimize your code. A JS profiler is an efficient tool to help you understand your code better – effectively finding, pinpointing and optimizing bottlenecks in your code.

What is the best way to profile a Java application in eclipse

Java profiling in Eclipse allows you to optimize your code, streamline your application, and better understand your program. When profiling your application using a line-level analysis, you can reveal the slowest line within a sluggish piece of code, helping you efficiently troubleshoot problems. There are a variety of platforms for profiling Java eclipse. Eclipse is a popular software and is especially valuable for beginners due to its clean interface and free and open-source background.

Why Python cProfile is the Recommended Profiling Interface

Performance optimization is a basic need for software development. When it comes to optimizing app performance, tracking frequency, maintaining production, or perpetuation method calls, profilers play a vital role. Learn why Python cProfile is a recommended profiling interface and how it enhances your software performance.

How to Choose the Best Performance Profiling Tools

You finish writing your code and launch your application. Then, you begin experiencing performance issues. How can you fix this? It doesn’t matter how talented your development team is, every code should always be analyzed, debugged, and reviewed to make it run faster. What you need is a performance profiling tool. In this article, you will learn about performance profiling and how to determine the best performance profiling tools for your software.

Profiling Schrödinger's Code

In modern software development and operations, everything can be monitored. This isn’t a matter of technology. If you want to monitor something, you can. However, modern monitoring tools come with a price, and while sometimes that price isn’t too high, at other times the cost can be unbearable. For example, an APM tool that monitors your server’s health with CPU and memory metrics is pretty cheap and non-intrusive.

Top 5 Python Memory Profilers

According to the Stackoverflow survey of 2019, Python programming language garnered 73.1% approval among developers. It ranks second to Rust and continues to dominate in Data Science and Machine Learning(ML). Python is a developers’ favorite. It is a high-level language known for its robustness and its core philosophy―simplicity over complexity. However, Python application’s performance is another story. Just like any other application, it has its share of performance issues.