Service virtualization vs. mocking vs. stubs (or test doubles/fake APIs)–In Part 2 of our series, learn the benefits, drawbacks, and when to use each.

While APIs are powerful tools, creating them from scratch can be a complex and time-consuming process. Fortunately, the advent of API generation tools has revolutionized this aspect of software development, enabling developers to automate and expedite the API creation process. In this blog post, we will explore some of the top API generation tools available today, each offering unique approaches to simplify and accelerate API creation.

Are you trying to derive deeper insights from your Amazon DynamoDB by moving the data into a larger Database like Amazon S3? Well, you have landed on the right article. Now, it has become easier to replicate data from DynamoDB to S3 using AWS Glue.

Picture it: All you have is a simple name and email address for a new lead. You need more information to determine if the lead is qualified and, if so, to close the deal. However, gathering this information is a time-consuming process when done manually. Lead enrichment tools are low-cost, efficient resources that can help you enrich your contact data.

As per the Internet World Stats information report, there are 2.4 billion Internet users worldwide. Per the United Nations factsheet on persons with disabilities, around 10 percent of the world’s population has some form of disability, which means more than 27 percent of potential users could have special needs when it comes to accessing the Internet. Accessibility issues can be categorized under four categories.

Hey DevSquad! Today, let's embark on a journey into the fascinating realm of code coverage in software testing. Buckle up because we're not just exploring the basics – we're diving deep into the advantages, potential pitfalls, and why this metric should matter in your daily coding escapades.

Hey there! Let’s talk about load testing. Think of it as the gym session for your website or app, where it lifts weights to see how much it can handle. This year, the game’s changed a bit, and I’m here to share some key lessons we’ve learned, especially with tools like LoadFocus making things a whole lot easier.

This year, our fully remote team turned every corner of the world into an office. Zoom calls? More like daily digital adventures, where we navigated projects in our home-office havens (extra points for the coolest virtual backgrounds and accidentally matching outfits). Coffee catch-ups took a global twist, with us sipping our favorite brews in different time zones – talk about a 24/7 café vibe!

Ready to implement generative AI in your business processes? Starting with the right generative AI use cases is key to your success. You’ll want to find areas where you can achieve quick wins as you grow toward your larger AI vision. In this article, we’ll highlight five use cases where you can incorporate generative AI for increased process efficiency.

Imagine you’ve just started a new job working as a business analyst. You’ve been given a new burning business question that needs an immediate answer. How long would it take you to find the data you need to even begin to come up with a data-driven response? Imagine how many iterations of query writing you’d have to go through. In this scenario, you also have reports that need updating as well. Those contain some of the biggest hair-ball queries you’ve ever seen.