With over 6.1 billion smartphone users expected by 2028, how will your app be unique in a highly saturated and competitive environment? It is all about proper mobile app testing, or rather, the lack of it in most cases. Good usability and high-level user experience are the major factors in the current conditions of market competition. That is where tools like emulators and simulators are really useful.

Hello, and welcome to part two of the BugSnag Beginners Series! We will cover the error details page and how it can be used to maximize error debugging in your BugSnag Dashboard. We’ll start by going over how error details heading information is organized, followed by what different pivots mean, how the status box works, where to find diagnostic data, and lastly how to create custom filters using your error’s metadata.

The holiday rush can be a make-or-break moment for retailers and e-commerce businesses. But the real challenge? Keeping those seasonal shoppers coming back long after the decorations come down. Following plentiful December 2023 sales, many retailers were surprised to start the new year with a sales slump as consumer spending dwindled. The Commerce Department reported that in January 2024, U.S. retail sales dropped 0.8% – much farther than economists expected.

In today's fast-paced software development landscape, maintaining application stability while delivering new features is a constant challenge. According to recent industry data, 80% of software defects are discovered after code has been merged into the main branch, making regression testing a critical component of quality assurance as we explained in our blog post: " Guide to Regression Testing: Example Test Plan & Best Practices".

Software development is a dynamic field that needs reliable and effective testing practices. Artificial Intelligence (AI) is poised to revolutionize software testing services in this dynamic environment. As 2025 draws near, AI is set to transform quality assurance (QA) by automating processes, increasing accuracy, and boosting software quality in general. In this blog article, the leading AI developments in software testing for 2025 are examined.

Last month, TestGuild’s Joe Colantonio sat down with two of SmartBear’s product wizards to discuss the world of developer observability and upcoming trends. Eran Grabiner is co-founder of distributed tracing tool Aspecto, which was acquired by SmartBear earlier this year. Right now, he works as Director of Product Management for Aspecto spearheading observability projects. Justin Collier is a longtime member of the SmartBear team and currently serves as Senior Director of Product Management.

For years, Cloudera’s platform has helped the world’s most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, it’s clear that our naming should reflect that shift. That’s why we’re moving from Cloudera Machine Learning to Cloudera AI.

Chaos testing, also known as chaos engineering, is one of the most-used methodology to test the resilience and reliability of systems by intentionally introducing controlled failures. Simply put, the goal is to identify weaknesses and improve a system’s ability to handle unexpected scenarios. Originating from Netflix’s famous Chaos Monkey tool, chaos testing has become a key practice in building robust distributed systems.