Is your startup operating with no QA team and trying to figure out your options for improving software quality? Perhaps you’re proactively thinking about your QA process before quality becomes a problem. Our maybe quality issues have forced you to finally address your QA process (or lack thereof). Either way, end-to-end (e2e) automated software testing is always part of the answer.

The agile development landscape needs strong and effective automated testing solutions to assure the quality of online applications. Choosing the correct test automation framework is critical for efficient testing cycles. While Selenium remains a popular standard, Playwright has evolved as a strong competitor because of its architecture and ability to handle the intricacies of modern online applications.

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.

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.

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.

One of the key processes in healthcare data management is integrating data from many patient information sources into a centralized repository. This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details.