Visual tests are essential for making sure your website looks good, but they also can be challenging to run if your website has a lot of dynamic elements. In a typical visual regression test, your goal is to compare new website versions against previously set baselines to check that unnecessary changes don’t accidentally get loaded to production.
The world is undergoing a remarkable transformation fueled by data. Organizations have accumulated silos across their data infrastructure to support various workloads, languages, tools, and formats because of technology limitations. These silos can have major consequences in the form of greater operational burden, security vulnerabilities, increased total cost of ownership, incomplete insights, and reduced agility.
Containers have emerged as the modern approach to package code in any language to ensure portability and consistency across environments, especially for sophisticated AI/ML models and full-stack data-intensive apps. These types of modern data products frequently deal with massive amounts of proprietary data.
Active listening is an admired and sought after skill in both the professional and personal sphere. After all, who doesn’t love to be heard? But what happens when we apply that mindset to the way our organizations solicit feedback and interact with our customers? We don’t have to make any assumptions to answer this question, because we have the data.
Amidst growing concerns around user privacy and regulatory laws, the cookieless paradigm has been gaining momentum over time in digital advertising. In addition, web browsers are increasingly blocking third-party cookies altogether in web sessions, necessitating the need for new authentication methods in web applications. Cookieless authentication is a secure way to verify user identities in web applications without relying on cookies.
When to stop testing? This question gets asked more often than not. However, as simple and straightforward it sounds, the answer to this question spans multiple aspects and variables which should be considered when we really want to stop. We just wish the answer could be “When all defects are found!”. Like humans, the software is also mere mortal and never bug-free. This blog aims to discuss multiple factors which should be pondered before we make a decision to stop testing.