In the vast landscape of cybersecurity, authentication stands as the guardian of digital fortresses, ensuring that only the right individuals gain access to sensitive information and services. Imagine you’re at the entrance of a top-secret facility, and you need to prove your identity to the security personnel. In the digital realm, this is precisely what authentication mechanisms do – they verify your identity before granting access.

Not long ago, I was handed a problem that’s no stranger to the world of programming: making asynchronous threads communicate effectively within the same process. Given the widespread nature of this issue, I expected to find an existing solution to resolve it. My search led me to the concept of message queue, which seemed promising for streamlining this communication challenge.

While working on an application that required executing a command to run a blocking program, such as a TCP/HTTP server, I encountered an interesting challenge. I needed a way to stop the application and its child processes when a signal was sent to the main program, such as SIGINT (Ctrl+C) or SIGTERM. This blog post shares my journey and the solutions I found to manage processes effectively in a Go application, focusing on Linux environments.

In this blog, we will demonstrate how to get the code coverage data for each incoming request on a python web server built using any web framework.

Whether you’re building a web application, a mobile app, or any other software product, integrating with third-party APIs is almost inevitable. But what happens when you need to test your application’s behavior without relying on these external services? That’s where the magic of simulation comes in handy. In this blog, we’ll explore how you can simulate responses effectively, even if the actual service isn’t available.