HOW TO IMPROVE THE PERFORMANCE OF YOUR GOLANG APPLICATION?
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We are here with the most awaited Performance Patterns for your Go applications. We have been getting requests regarding this matter and hence this blog post. Everyone wants a speedy app; a user wants speedy delivery, a developer wants fast performance, whereas an entrepreneur wants both! The reasons may be different, but the need for optimization is the same. As you have chosen Go for your business application, you are already on the right path. But, you need to improve the speed and performance of your application to make it the best in the market.
Now, there will be two primary reasons for which you would want to optimize your Golang application. Either for resource efficiency or for improvising the operation latency. Your application should be such that it does not require so many resources that it keeps on waiting for the operation. On the other hand, your Golang application is too complicated that to execute one of its tasks, it has to depend on another, and in this manner, it becomes a dead-end loop of dependencies. Bacancy being a Go development company, we bring to you some proven and tested performance tips that will surely get results.
Resource efficiency optimization: You improve your app performance to optimize resource utilization. Some parts of your program demand more resources than others, and you need to find out such red spots of your application program. It can be CPU, bandwidth, or memory. Latency optimization: Here, you have to identify the bottlenecks of your program. The goal is to optimize a particular function’s latency. As you improve your program’s resource efficiency, the latency is automatically enhanced. But, on the contrary, improving latency may, in turn, demand increased consumption of resources. However, you have to be conscious of bothprogram bottlenecks and hot spots and work on them simultaneously.
Algorithm Efficiency: A program has several ways of varying magnitudes to execute the same operation. You would gain maximum performance in your application by implementing algorithm optimization. To meet with and overcome the above three (latency, resource, and algorithm) efficiencies in your Golang application, continue reading our blog. It is a curated list made with the help of our expert Go developers. As you hire Golang developerhire Golang developer from us, they will have all the expertise that you may need for building a robust system for your customers. Only a remote full-stack Go development company can assure that its dedicated Go developers can independently look after the A-to-Z of your Go application.
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Go Performance Patterns
To improvise the speed of your Golang application, you need to use third-party tools and built-in packages for optimization. Your program compiler can rarely optimize your Go program code on its own. Hence I have collected these best-practice recommendations that set benchmarks in the industry. Not each tip would be useful to you because it depends on your application type and requirement. Depending on your app logic and load, you can choose from these performance patterns.
â—? Limit the usage of Goroutines The feature that makes Golang a valuable programming language is the availability of using Goroutines, which is very cheap and easy to use, making us feel that it is almost free. However, goroutines do cost a significant memory footprint, which effects your app performance.
Generally, Go programmers create infinite goroutines without calculating or knowing when they will exit. Hence, we recommend you to start a goroutine only if you know when it exits.
â—? Parallelize CPU work Synchronization takes a considerable amount of time, and when you can parallelize your work by utilizing available cores, that will surely optimize the performance of your Go application. This step will speed up your app execution linearly.
â—? Make I/O operations asynchronous The most common bottleneck that arises is due to network transactions and file input/output executions. So, to optimize your Go app performance, you can make independent I/O operations asynchronous. This way, such operations run in parallel and improve your downstream latency. You can use sync.WaitGroup to synchronize multiple I/O operations.
â—? Keep a watch on your timeouts I/O operations usually take loads of time, which leads to latency. To overcome this, you should avoid starting any I/O task without knowing the time it shall consume. You need to start using SetDeadline, SetReadDeadline, and SetWriteDeadline before setting a timeout on each network request.
â—? Do not allocate memory in hot spots Whenever you create new objects, the system consumes memory and CPU cycles, which increases the latency. It also keeps the garbage collector occupied, which is not a good sign, especially in hot spots. Hence, whenever possible, you should reuse objects, and you can make use of sync.Pool.
● Use lock-free algorithms You must avoid synchronization because it leads to racing situations and contentions. To improve efficiency and latency, you should prevent mutex. Many lock-free solutions are available for some common data structures.
● Favor read-only locks As you imply full-locks to heavy objects that are synchronized, your goroutines have to wait a long time. To avoid such trouble, you should make use of read-only locks.
● Minimize or avoid using ‘cgo’ Go programs can call into C libraries using cgo. However, the cgo function has a high overhead, it consumes thread during operation, just like blocking I/O. You should not call a C code in between a tight loop. For the best performance of your Go application, we suggest not using cgo.
● Use buffered I/O Accessing singular objects costs disk operations, which ruins the program efficiency. Using buffered input/output will considerably improve your app speed because it will have to read and write bigger chunks of data.
● Use Binary over Text formats Both binary and text formats are valid in PostgreSQL. However, binary is much faster than the text format. While using the binary form, the processing is only required when converting from network byte order. Thus, for the PostgreSQL server, the binary format is more efficient for transmission than the text format.
● Prefer StringBuffer or StringBuilder By using the ‘+’ and ‘+=’ operators, the system allocates a new string on every assignment. To overcome this inefficiency, you should make use of StringBuffer and StringBuilder for the speedy execution of your program.
● Use regular expressions Some programs might be using the same regular expression several times, and if you compile the regular expression before every use, your app will be inefficient. Thus, for repeated matching, you should make use of compiled regular expressions.
● Preallocate slices The Go language automatically allocates memory when your demand reaches the current capacity. During re-allocation, the system gives double memory when the array moves to a new location. To avoid this memory wastage and unnecessary garbage collection, you should preallocate the slices whenever it is possible.
● Go for Protocol Buffers and MessagePack
JSON and Gob are somewhat reluctant because they both use reflection. Instead, you must use Protocol Buffers and MessagePack.
� Use int, not string for maps If your application uses Maps, then you should use int keys over a string. Tailor your business needs with the topnotch Golang development company.
Before you Go App performance and reliability both are equally important, give your preference to what your app needs. However, you need to keep in mind that app performance speed comes at the cost of simplicity, development time, and continued maintenance. As you outsource your Go application development to the best remote dedicated Golang development company, be assured that our ardent Goers will develop an optimum app for your business.
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