Systems | Development | Analytics | API | Testing

In the modern era of digital businesses, web applications need to deliver on several grounds–performance, user experience, robustness, and scalability. However, many developers might agree that performance is of the utmost importance in any software application. The bells and whistles of a fancy UI and extensive functionalities can sometimes force performance to take the back seat. Additionally, there are a lot of reasons for performance to degrade over time.

Even the systems that run smoothly day and night, can flounder when short of memory. Efficient memory usage has become of utmost importance for software applications. Nowadays, with growing audiences and faster speed and data retrieval expectations, memory issues pose a huge threat to performance and can lead to huge losses in terms of customers and money. Therefore, it is very important to build memory-efficient applications that ensure overall performance and a smooth customer experience.

A memory leak in an application deployed on the cloud can affect the availability and reliability of the application. Therefore, it is highly important to identify and ultimately resolve it quickly. However, in the production environment running on the cloud, memory leak detection is a challenge without the knowledge of the application or its internal object allocation details.

Python is not known to be a "fast" programming language. However, according to the 2020 Stack Overflow Developer Survey results, Python is the 2nd most popular programming language behind JavaScript (as you may have guessed). This is largely due to its super friendly syntax and its applicability for just about any purpose.

The last 3,650 days of my professional life have been focused on making Rails apps faster. Below are five lessons I've learned the hard way.

During the course of execution, software programs accumulate several data objects that serve no purpose in the program and need to be let go. If not dealt with, they can keep eating up memory and significantly hamper performance. Garbage collection is the process of cleaning up all these useless data objects that continue to reside in memory. It frees up the corresponding RAM to make room for new program objects.

Even the most prominent and reliable frameworks are notorious for burning out resources if not configured perfectly. In this post, we are about to take a look at how Ruby, one of the most prominent programming languages and an awesome web application alternative when combined with Rails, manages memory, and how you can make it perform even better. Ruby is a scripting language built for use in web applications and similar stuff.

The way we write, ship, and maintain software today has evolved drastically in the last few years. How we consume underlying infrastructure to run our software has matured significantly, in that we have seen a transition from bare metal to virtual machines to containers to micro-VMs.

Web development before the age of web frameworks is difficult to imagine. Setting up a robust, dependable web app from scratch is a daunting task that requires years of knowledge and experience. Nowadays, however, with the help of effective, easy to use web frameworks, it doesn’t take more than a few minutes to get going.

Both containers and virtual machines are virtual environments that comprise a number of computing components and are independent in nature, thereby allowing developers to scale applications in isolated runtimes. Both of these concepts aim at providing independent sets of resources to individual computing environments to ensure quick and reliable application performance.