How you can improve the speed of your application using Golang Performance Patterns?

Introduction

Are you looking to speed up the performance of your application? let me help you, We often get frustrated when things don't work according to our plans, the very same way the users get frustrated when there is slow performance in their applications and that lands to uninstallation.

To improvise the speed of your Golang application, using built-in or third-party packages and methods should be carefully considered. The situations in which a compiler can automatically optimize code are limited. You can choose from these Golang performance patterns depending on your app logic and load. implementation strategy based on benchmarks and best practices.

Limit the usage of Goroutines

The use of Goroutines is a feature that distinguishes Golang as a beneficial programming language, as well as a cost-effective one.

However, goroutines have a large memory footprint, which has an impact on the performance of your project. Go programmers, in general, create infinite goroutines without calculating or knowing when they will exit. As a result, we recommend that you only start a goroutine if you are aware that one exists

Parallelize CPU work

Synchronization takes a long time, so if you can parallelize your work by utilising available cores, your Go application's speed will undoubtedly improve. This step will linearly speed up the execution of your program

Make I/O operations asynchronous.

Network transactions and file input/output executions are the most prevalent bottlenecks. As a result, you can make independent I/O operations asynchronous to improve the speed of your Golang application. As a result, similar activities can execute in parallel, reducing downstream latency. To synchronise several I/O operations, use sync.WaitGroup.

Keep a watch on your timeouts

I/O operations typically take a long time, resulting in latency. To avoid this, avoid initiating any I/O task without knowing how much time it will take. Before putting a timeout on each network request, you should start utilising SetDeadline, SetReadDeadline, and SetWriteDeadline.

Do not allocate memory in hot spots

The system uses memory and CPU cycles whenever you create new items, increasing delay. It keeps the garbage collector busy, which isn't always a good thing, especially in high-traffic areas. As a result, you should reuse objects and use sync wherever possible.

Use lock-free algorithms

Synchronization should be avoided at all costs because it leads to racing situations and disputes. You should avoid mutex to increase efficiency and latency. For several popular data structures, there are numerous lock-free methods.

Conclusion:

I hope this article was productive, this will help you to learn more about how to improve the performance of your app and broaden your understanding of the platform. with the use of Go performance pattern, the speed of the application will improve and work smoothly.