In this world of technology, meaningful and understandable software can be controlled easily. While designing the application's architecture, loose coupling between the services is necessary, meaning services should behave as a standalone application. This kind of architecture is called service-oriented architecture because, in this architecture design, we mainly focus on designing separate services and using them to make the whole application.

In our last post, we began comparing the PHP frameworks Laravel and Symfony. We went over an overview of each framework, and also what particular advantages each one has. In this post, we’ll continue by discussing the following: Finally, we’ll go over which framework is right for your particular use case.

The modern world, which is full of mobile devices, requires more responsive web applications that provide real-time interactions. As a result, you require a practical backend framework to synchronize information in real time and develop a robust database link with the user interface. For example, let's consider your smartphone's live soccer game score that provides instant entry into all the player statistics.

OpenTelemetry is a free and open-source software initiative with the objective of supplying software developers with the means to create distributed systems. OpenTelemetry was developed by engineers at Google, and developers have the ability to utilize it to create a standard foundation for the construction of distributed systems. The goal is to enable developers to write code once and then deploy it in any location of their choosing.

It is pretty common to envision software developers spending most of their time writing fancy code, building new, shiny features for applications, and smoothly deploying them to production. However, the reality is usually messier. Things break all the time — your code fails, the system runs out of memory, exceptions go unhandled, dependencies conflict, servers overload, slow requests take forever, and whatnot.

If you have been following technological trends over the years, then you must have come across the word: microservices. Popularly known as microservices architecture, microservices replaced monolithic architectures. With software development becoming more complex by the day, software applications require regular updates and improvements. To simplify this process, applications are now developed by breaking it down into smaller components that collectively work to serve their users.

In software development, the monolith architecture has successfully seen the design and development of applications. Most unicorn companies in recent years started their journey using monolithic architecture. However, we’ve seen a significant change and adaptation of microservice architecture patterns in the last few years. The popularity of designing and developing applications using microservices is mainly because of scalability and increased productivity for larger teams and companies.

Python is one of the hottest programming languages in the world right now. According to StackOverflow’s Developer Survey 2021, Python is the third most popular programming language. It is primarily due to its easy-going syntax coupled with powerful dynamic typing and binding. In this article, we will focus on building efficient and scalable applications in Python using popular design patterns. Design patterns are standards or conventions used to solve commonly occurring problems.

Memory leaks are one of developers’ worst nightmares. They can easily take down a healthy running application within hours if not minutes. It can be difficult to detect some of such leaks since they slowly grow and take over your app’s available memory. On top of it, each programming language manages memory in its own unique ways and hence can leak memory in different ways. Hence proactive measures to identify and prevent such leaks from happening is crucial.

Flask is the most popular micro-framework for web programming in Python. Known for its lightweight build and flexibility, it is a fan favorite amongst beginners because of how easy it is to get started with, especially for building prototypes and small-scale projects. Even though Flask is one of the faster frameworks out there, there’s almost always scope for improving performance in web applications. Things might run fine when you serve minimal, static websites with ample compute resources.