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Performance Optimization in Software Development - Complete Guide

Performance optimization is a critical stage in the software development cycle. However, this stage is oftentimes disregarded as unnecessary. After all, it's not exactly a thrilling experience either. Basically, performance optimization allows businesses to improve one or two aspects of a system’s performance, e.g., memory usage, disk space, bandwidth, etc. However, this requires a trade-off where one aspect is implemented at the cost of others. For example, increasing the size of the cache improves run-time performance, but it also increases memory consumption. So, you need to carefully analyze your system and optimize it according to your resources to get the best possible results.

Having said that, it’s important for businesses to implement performance optimization in software development to keep their programs efficient and capable of meeting technical challenges. In fact, for businesses that rely on custom applications, performance optimization is not merely an option, rather a necessity. In this article, we are going to discuss everything related to performance optimization in software development including its levels, importance, and how to implement it. So, without further ado, let’s dive into it!

What Is Performance Optimization In Software Development?

First of all, let’s understand what performance optimization really means. By definition, performance optimization is the practice of modifying software or a program with an aim to increase its efficiency and execution more rapidly. Performance optimization plays a critical role in the efficient functioning of an application. This is done by analyzing and monitoring the performance of an application as well as identifying ways to enhance it. From the customer frontend application to the unseen infrastructure that supports distributed systems, pretty much everything can be improved and made better. This is where performance optimization plays its part.

Importance Of Performance Optimization in Software Development

Oftentimes, when we talk about performance in software development, we're referring to speed. However, this is not always the case. While speed is an important part of application performance, so is efficiency, i.e., consuming lesser resources and avoiding costly technical debt. Performance optimization is the strongest weapon of any organization against low software performance and unwanted deprecation. Poor software performance can be a result of a number of factors, such as poorly written code, or outdated code. Regardless of the cause, performance optimization can potentially impact your business on a number of levels.

Levels Of Performance Optimization in Software Development

Performance optimization can occur on different levels. Typically, the higher the level, the greater the impact. This means changes at a higher level are harder to change later on in the project and require a complete rewrite or significant changes. Let's take a deeper look into different levels of performance optimization in software development:

1- Design Level Optimization:

At the highest level, optimizing the design of the system can enhance the use of available resources, expected load, and assigned goals. The architectural design of the system plays a significant role and majorly influences the performance of a system. For example, a system that is network latency-bound (network latency is the key constraint on the overall performance) can be optimized to minimize network requests, ideally making a single request rather than multiple roundtrips.

2- Algorithms & Data Structures Optimization:

Following the design stage, the next step is selecting and efficiently implementing efficient algorithms and data structures. After the design, the choice of algorithms and data structure impact system efficiency more than any other aspect. Although data structures are more difficult to modify than algorithms as they are utilized throughout the program, however, this can be addressed by using abstract data types in function descriptions and restricting concrete data structure definitions to a few places.

This mostly involves ensuring that algorithms in the input are constant O(1), logarithmic O(log n), linear O(n), or, in some instances, log-linear O(n log n) (both in space and time). Quadratic complexity O(n2) algorithms do not scale, and even linear algorithms cause problems when called frequently. For this reason, they are often replaced with logarithmic or constant algorithms if possible.

3- Source Code Level Optimization:

Beyond the implementation of general algorithms on an abstract machine, specific source code decisions can make a huge impact. For example, While(1) was slower than for(;;) for an unconditional loop on early C compilers. This was because while(1) evaluated 1 followed by a conditional jump that tested if it was true, whereas for(;;) had an unconditional jump.

Nowadays, optimization (such as this one) can easily be accomplished by optimizing compilers. This depends on the compiler, the source language, and the target machine language. As it changed over time, it can be both difficult to comprehend and predict. This is the key aspect where having an understanding of machine code and compilers can improve system performance.

4- Build Level Optimization:

After the source level, build flags and directives are used to tune performance options in the compiler and source code respectively. Examples include the use of a preprocessor to define disabled and unnecessary software features, predicting branching, or optimizing for specific hardware capabilities or processor models. This type of optimization can be used by source-based software distribution systems like BSD's Ports and Gentoo's Portage.

Program Performance Optimization on Client-Side and Server Side:

While the 4 levels of performance optimization play their significant roles in the lifecycle of software development, the next step is to actually use the program. For this purpose, a program needs to be hosted on a server so that the audience/clients can access and use it. For this purpose, we need to consider optimizing the server for optimum performance. Similarly, we need to consider client-side optimization as well. Let's take a deeper look at what this actually means:

Server-Side Optimization:

The term "server-side" refers to how long it takes for a server to process a request. Generally, optimizing server-side performance focuses on optimizing things, such as database queries and other application dependencies. On the server-side, you can better analyze the code, database issues, and compilation causing poor performance or high CPU or memory utilization. Typically, server-side performance is primarily related to working with APIs and data layers.

Client-Side Optimization:

The client-side refers to how the performance appears in the browser or user interface. It includes the time it takes to open the first page, download all of the resources, run JavaScript in the browser, load images, etc. Let's take a look at the best ways to optimize client-side performance:

1- Caching and Content Delivery Networks:

  • Use content delivery networks to handle static files, such as CSS, JavaScript, and image files. Examples of CDNs include Cloudflare, Amazon AWS, MaxCDN, Fastly, etc.

2- Bundle and Minification:

  • You can drastically improve performance by producing fewer files and bundling files together.

  • Apart from this, removing unnecessary characters, such as white spaces, and minifying the files can help improve performance as well.

3- Optimizing image usage:

  • Optimize and reduce the size of image files.

  • If you're using a number of small icons, it is better to use icon fonts, such as font awesome.

4- Removing duplicate code JavaScript and CSS:

  • Remove duplicate code to reduce the size of the files, ultimately, improving performance.

5- Using a minimalistic styling Framework:

  • Using a minimalistic styling framework can help with the styling aspect. As the styling framework has already been optimized and minified for improved performance, it should keep the performance of the system optimal.

How can we help?

Businesses with a long-term strategy towards success and growth immensely focus on increasing efficiency within the workplace. Software performance optimization is a critical weapon against low performance and unwanted deprecation. In short, performance optimization in software development can immensely impact your businesses on multiple levels.

Here at IIInigence, we help businesses reach their true potential in terms of performance and efficiency. We provide expert-level program optimization services to enhance client-side and server-side performance, and on a developmental level. If your business is looking to optimize your software performance, reach out to us by filling the contact form, share your requirements, and let us do our magic.