Profiling with Profiler-Plugins Not sure exactly what you need to accomplish with your profiling, but WP Tuner (WordPress Plugin) goes a long way to finding what is slowing down your WP install. It looks at each plugin and give your the memory, CPU time and SQL queries involved. The SQL Monitor (WordPress Plugin) analyzes SQL … Read more
I’m still learning the ropes of Java so sorry if there’s a obvious answer to this. I have a program that is taking a ton of memory and I want to figure a way to reduce its usage, but after reading many SO questions I have the idea that I need to prove where the … Read more
Firebug Firebug provides a highly detailed profiling report. It will tell you how long each method invocation takes in a giant (detailed) table. You need to call console.profileEnd () to end your profile block. See the console API here: http://getfirebug.com/wiki/index.php/Console_API Blackbird Blackbird (official site) also has a simpler profiler (can be downloaded from here)
Using performance.now(): In Node.js it is required to import the performance class importing performance Using console.time: (living standard) Note:The string being passed to the time() and timeEnd() methods must match(for the timer to finish as expected). console.time() documentations: MDN documentation Node.js documentation
The PECL APD extension is used as follows: After, parse the generated file using pprofp. Example output: Warning: the latest release of APD is dated 2004, the extension is no longer maintained and has various compability issues (see comments).
This one has been answered already here: Python memory profiler Basically you do something like that (cited from Guppy-PE):
guppy3 is quite simple to use. At some point in your code, you have to write the following: This gives you some output like this: You can also find out from where objects are referenced and get statistics about that, but somehow the docs on that are a bit sparse. There is a graphical browser as … Read more
Standard Windows performance counters (look for other correlated activity, such as many GET requests, excessive network or disk I/O, etc); you can read them from code as well as from perfmon (to trigger data collection if CPU use exceeds a threshold, for example) Custom performance counters (particularly to time for off-box requests and other calls … Read more
Python includes a profiler called cProfile. It not only gives the total running time, but also times each function separately, and tells you how many times each function was called, making it easy to determine where you should make optimizations. You can call it from within your code, or from the interpreter, like this: Even more … Read more