APIs are the backbone of the digital world. Every time you use an application such as Facebook or Instagram, or even check the weather, it is likely that some APIs are at work. They are the middleman of apps and web services, and API testing is crucial to ensure that this middleman works seamlessly. In this article, we’ll explore the concept of API testing in depth. We’ll also show you how easy and simple it is to automate API testing with just a few steps.

If you've performed any sort of data prep, you know how time-consuming it can be. But it's a vital step in finding the hidden nuggets your data offers. You have to “fix up” the data so it can become the insights you need without any outdated or biased information. So mastering, especially anything data-related, may sound like a pipeline dream — pun intended — but it can be done. Could Tableau Prep be the data preparation solution you need?

There are plenty of materials available out there about Schema Registry. From Confluent alone, if you head to Confluent Developer and search “Schema Registry” you will discover an ever-growing repository of over 100 results including courses, articles, tutorials, blog posts, and more, providing comprehensive resources for enthusiasts and professionals alike.

A few weeks ago, Andrey from Ecommlab contacted me to ask me about a strategy to get performance insights from Tideways into Shopware 6 checkout. The store of our joint customer “Bär Schuhe” was slow for customers during the order confirmation process.

Learn how to implement end-to-end process automation strategies successfully. Discover which hyperautomation technologies drive immediate and future business impact in the Gartner® Emerging Tech Impact Radar: Hyperautomation Report. Discover which use cases you should focus on for business process automation. Download theGartner® Market Guide for Business Process Automation Tools.

Why data lakes are the essential centerpiece of modern data architectures and an indispensable prerequisite for AI.

In the competitive analytics and data visualization landscape, Grafana has carved out a niche with its open-source flexibility and powerful data visualization features. However, Grafana faces certain limitations in terms of advanced analytics functionalities and less seamless integration with your software product compared to analytics and data visualization tools sourced from broader business intelligence (BI) ecosystems, such as.

Low-code is here to stay. In fact, Gartner anticipates the adoption of low-code development platforms will grow 20% per year to $44.5 billion by 2026. However, while low-code offers enterprise IT leaders undeniable advantages, its role in shaping the future of process automation is nuanced. This blog delves into the dichotomy of low-code's potential, exploring why it is the future but not the sole solution for process automation.