Efficient and consistent REST API naming conventions can streamline your development process and make navigating your API easier for developers. This guide will look at what’s needed for creating intuitive and consistent endpoint names, REST API naming conventions and best practices, and how to avoid common errors. Let’s begin by taking a quick refresher on some of the basics of REST API endpoints.

Imagine you want to leave a note for someone. You write the message on a piece of paper and put it in an envelope. The envelope around your note keeps the message contained and separate from other things. It's the same idea with terminating string literals. A string literal is like the note you wrote, while terminating it is like sealing the envelope. Here's an example: The phrase "Hello, world!" is the string literal, while the double quotation marks tell the computer where the string begins and ends.

Hakkoda’s 2024 State of Data report found misalignment between data leaders on AI readiness.

Confidential computing offers a groundbreaking approach to data security confidentiality, vital for industries like healthcare, finance, and government, where sensitive information reigns supreme. Unlike traditional security measures that center on data at rest or in transit, confidential computing shields data during the processing phase itself.

Magnite stands as the largest independent sell-side advertising platform, providing an essential bridge between publishers and advertisers. At its core, Magnite streamlines the advertising process, facilitating the buying and selling of advertising space across various channels, including connected TV (CTV), mobile, and desktop environments.

Whether you’re a leader, manager, or individual contributor, chances are you need to keep a close eye on a handful of key metrics. If you’re the Sales leader, it might be KPIs like Leads, SQLs, and Close Rate. If you’re running paid ads, it might be Total Ad Spend or Cost Per Conversion. Of course, you can view these metrics on dashboards and get updates through automated reports.

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.

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.

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.

Before immersing yourself in this tutorial, it’s best to ensure you’ve got the following prerequisites.