Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.

Postman is highly popular in the testing tools space for verifying API requests. While its use for general API testing is widely adopted, conducting load testing with Postman is not as straightforward. In this post, we assume that you have some experience working with Postman and are familiar with the fundamentals of creating and sending requests. If you’re new to Postman, there are numerous resources available in the Postman Learning Center.

So in today’s world of software development, where things happen so fast, test automation is no longer an option but a necessity. Thus, it helps developers shift their attention to creativity and develop new features rather than being bogged down by monotonous microtasks. But here’s the catch: automation isn’t an effortless solution. If not handled properly, it can create more issues than solutions—poor-quality test code, unreliable (flaky) tests, and holes in test coverage.

We at Loadero regularly plan, implement and execute performance tests for clients which has led to us acquiring plenty of first-hand experience on the topic. Within this article we want to share with readers exactly what performance testing is, why it is valuable, as well as cover several factors that should be taken into consideration when deciding on the tests' implementation.

IFrames were used, and are still used, in many embed frameworks. After much experimentation, including many unsuccessful platforms, iframes have proven themselves to be a simple and powerful way to let partners customize your experience. However, their limitations are also known: Consequently, platform teams have tested and continue to test alternatives. Certain platforms now exclude iframes entirely, while others combine iframes with non-iframe alternatives.

Within the domain of software quality assurance, functionality and user experience hold a paramount position, and visual testing becomes an indispensable protector of the digital environment. The complexity of modern apps is always growing, thus it's critical to guarantee pixel-perfect precision and smooth visual consistency across all platforms and devices.

Pharmaceutical industry leaders are adopting new artificial intelligence (AI) technologies and increasing process efficiency. The Infosys report on AI adoption shows that pharmaceuticals are among the most mature industries in Al adoption. In the same report, 40 percent of the respondents claimed their organizations had deployed Al and that it was working as expected. AI-powered features help them manage massive volumes of pharmaceutical data with great accuracy and speed.

Alright, I’m back. Time for part 2. In the first part, I covered how we handle bad data in batch processing. In particular, cutting out the bad data, replacing it, and running it again. But this strategy doesn’t work for immutable event streams as they are, well, immutable. You can’t cut out and replace bad data like you would in batch processed data sets.

Over one billion people worldwide live with some form of disability. Accessibility testing ensures that digital platforms are usable for everyone, including people with disabilities.