Imagine you’re planning a road trip across the country. You’ve got your car, a map, and plenty of snacks for the journey. But there’s one crucial thing missing – a functional engine that will get you from point A to point B without any issues. That’s exactly why API functional testing is so important. APIs are the engines that power our software applications. They allow different systems to communicate with each other and transfer data seamlessly.

Today, all applications run on API. It connects one microservice to another, clients with servers, and runs the most basic yet essential application services. Clearly, a well-oiled API is imperative to ensure the smooth functioning of every system. If API breaks down, the complete user experience and application are put at risk. And only proper API testing can secure the system from such downtime possibilities.

In today’s data-driven world, businesses must deal with complex challenges related to managing, integrating, and properly using massive amounts of data housed in multiple locations. Organizations that unlock the right data architectural approach empower themselves with much better decision-making and strategic insights. Two popular approaches — data mesh and data fabric — have surfaced as prominent and innovative solutions for handling data at scale.

Didn’t you have the chance to listen to our podcast? Don’t worry. With this article series, you can read the highlights of each episode. In this episode, Maaret Pyhäjärvi is our QA therapist and helps us diagnose and prescribe the symptoms of exploratory testing. Maaret has several significant awards in the testing space. She has delivered hundreds of talks and is a frequent keynote speaker. She lives testing from the inside out and has contributed to the industry for years.

S3 Lake Formation with Apache Iceberg enables ACID compliance, the key to data lake governance and regulatory compliance.

Despite its many advantages, Node.js comes with a set of potential pitfalls if you don't maintain your application properly, such as: In this post, we'll explore these pitfalls and how to avoid them. Let's dive straight in!

Logs are the core of the human-machine interface for software developers and operators. Historically, they are very much like caveman paintings. They were our first attempt to express and understand how our software was working. For several decades, logs were an island of calm in a rapidly changing technological ecosystem. Logs remained the same even as software services became web-based and grew in scale.

The formula for determining transactions-per-second is simple, but with many important underlying considerations.

We call it Ad-hoc when we don’t have organization or structure. Thus, ad-hoc testing will be when the testing is executed without any planning or structuring. Ad-hoc testing is a type of black box or behavioral testing. With Ad-hoc testing, you don’t need to follow any strict process. There’s no formal process of testing to document. Let’s jump into this blog and learn in detail.