The debate between QA vs. QE and manual vs. automated has raged on. But it’s high time to end the “versus” mindset. Instead, we should focus on the strengths of both methodologies, recognizing that they play pivotal roles in ensuring top-notch user experiences and high-quality products. QA, emphasizing manual testing and exploratory techniques, provides the essential groundwork for identifying issues early in development.

Learn how to set up traffic capture and replay with Speedscale for more accurate, reliable testing of your Kubernetes apps.

As of 2023, organizations engaged in software development are investing 31% of their total budget into ensuring software quality meets their defined standards.

In this fast-paced era of artificial intelligence (AI), the need for data is multiplying. The demand for faster data life cycles has skyrocketed, thanks to AI’s insatiable appetite for knowledge. According to a recent McKinsey survey, 75% expect generative AI (GenAI) to “cause significant or disruptive change in the nature of their industry’s competition in the next three years.” Next-gen AI craves unstructured, streaming, industry-specific data.

We are pleased to announce the 2023.1 release of Tricentis LiveCompare. In this latest release, we introduce two groundbreaking features that will not only transform your approach to application retrofits, but also provide critical insights that minimize the risk of overwriting code, remove complexity and manual effort, and ensure the quality of releases. These features are Retrofit Analysis and Smart Impact Reports.

Imagine, you are developing Java software and suddenly you encounter errors. Where could have possibly gone wrong? There are many types of errors that you will encounter while developing Java software, but most are avoidable. If you have an error monitoring tool such as Stackify Retrace, you can write code with ease. In this article you will find: Read on to learn about the most common issues and their workarounds.

In the realm of data management, Hevo Data, Talend, and Integrate.io stand out, each bringing distinct data integration capabilities. While all three platforms prioritize integrations and 24/7 customer support, they differ in their offerings and pricing structures. Hevo Data is budget-friendly, Talend is enterprise-centric, and Integrate.io provides a balanced approach for various business sizes. Your choice will depend on your specific needs, budget, and preferred features.

Log4j2 is the updated version of the popular and influential log4j library, used extensively throughout the Java ecosystem for so many years. Version 2.x keeps all the logging features of its predecessor and builds on that foundation with some significant improvements, especially in the area of performance. And of course, given how instrumental logging is for any application, both for audit and debugging purposes, choosing a solid logging library is quite an important decision.

In this article, we will explore the differences between an API management vs. integration platform, and why understanding them is crucial for businesses seeking to optimize their data and service integrations. Here are the key differences between API management and integration platforms.

In the age of climate consciousness, industries worldwide are grappling with the urgent need to reduce their carbon footprints. One industry that has come under increased scrutiny is telecommunications, where Scope 3 emissions, or the indirect emissions that occur in a company’s value chain that the company has no direct control over, alone account for a staggering 85% of a typical telecom company’s carbon footprint.