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#SMASHTUNES JAVA CODE#

This is another general tip that helps you avoid a lot of unexpected problems that often occur after you have deployed your performance improvement to production. Create a performance test suite for the whole application More than once my first guess would have led me in the wrong direction.

#SMASHTUNES JAVA CODE#

It should be obvious that the profiler-based method gives you a better understanding of the performance implications of your code and allows you to focus on the most critical parts.Īnd if you ever used a profiler, you will remember a few situations in which you were surprised by which parts of your code created the performance issues. I hope I don’t need to explain why you should always follow the second approach.

Or you use a profiler and get detailed information about the behavior and performance of each part of your code.

You can take a look at your code and start with the part that looks suspicious or where you feel that it might create problems.

You can approach this question in two ways: Use a profiler to find the real bottleneckĪfter you followed the first recommendation and identified the parts of your application you need to improve, ask yourself where to start? And when you’ve done that, you should take a look at the second tip. So, how do you prove that you need to optimize something?įirst of all, you need to define how fast your application code has to be, e.g., by specifying a maximum response time for all API calls or the number of records that you want to import within a specified time frame.Īfter you’ve done that, you can measure which parts of your application are too slow and need to be improved. In most cases, premature optimization takes up a lot of time and makes the code hard to read and maintain.Īnd to make it even worse, these optimizations most often don’t provide any benefits because you’re spending a lot of time optimizing non-critical parts of your application.

You should follow common best practices and try to implement your use cases efficiently.īut that doesn’t mean that you should replace any standard libraries or build complex optimizations before you proved that it’s necessary. That might be one of the most important performance tuning tips. Don’t optimize before you know it’s necessary We’re going to cover all the tips, starting with the ones that are language agnostic, and progressing to the ones more specific to the Java platform. So, unsurprisingly, most of these recommendations will be Java-specific.īut there are also several language-independent ones, which you can apply to all applications and programming languages. We’re going to show you 11 tips to help you optimize your Java applications. There are several easy to follow recommendations and best practices that can help you create a well-performing application. That doesn’t mean that optimizing your apps is a lost battle, nor that you have to be an expert in order to do so. For a quick example, think of the double-edged sword that is garbage collection.

Writing well-performing applications is tricky, no matter the language or platform you use, and Java is no exception.īesides the common problems, Java performance tuning presents its own intrinsic challenges.