Overcoming Stale Element References in AJAX Table Loading with Katalon Studio The information in this blog post is based on a real-life scenario shared by a user on our Katalon Community forum and is intended to inspire peer-to-peer discussion and collaboration. Please always test solutions thoroughly before implementing them in a production environment.

When you run your Go programs or integration tests, numbers of raw coverage files are typically generated and dumped into a directory specified by the GOCOVERDIR environment variable. These files contain valuable data about which parts of your code were executed during tests, offering a glimpse into your code’s effectiveness and robustness. However, sifting through these raw files to extract actionable insights can be daunting and unclear for many developers.

To address quality concerns, crucial for customer satisfaction and loyalty, businesses are investing in more scalable and efficient software testing services. In fact report by Marketsandmarkets estimated the automation testing market to be worth more than USD 28 billion in 2023. This promising growth is owed to many managed testing services providers like Zymr that are helping businesses across industries to adopt Agile/DevOps, develop complex software systems, and achieve faster time-to-market.

Legacy systems have been important in the growth and success of several organizations. However, as these systems and applications age, they slow down and become increasingly costly to operate and manage. As per the U.S. Government Accountability Office, operating and maintaining legacy systems consumes over 80% of IT expenses. Organizations must scale and update these systems to accommodate their evolving business needs. This is where legacy application modernization can help.

A robust, modern data platform is the starting point for your organization’s data and analytics vision. At first, you may use your modern data platform as a single source of truth to realize operational gains — but you can realize far greater benefits by adding additional use cases. In this blog, we offer guidance for leveraging Snowflake’s capabilities around data and AI to build apps and unlock innovation.

REST Clients, or Representational State Transfer Clients, are essential tools in the world of web development and API integration. These clients facilitate seamless communication between applications and web services using the principles of REST architecture. A REST client is a software tool, library, or framework that enables developers to interact with RESTful web services by making HTTP requests and processing responses.

Significant API adoption, management, and integration with emerging technologies like Generative AI underscore the crucial role of API in modern digital landscapes. Recent research shows that companies integrating APIs experienced a significant 12.9% surge in market capitalization. Moving a step further, Gartner predicts that by 2026, more than 80% of enterprises will have employed Generative AI APIs or implemented applications enabled by Generative AI.

In an era where data breaches generate headlines and data privacy is an increasing concern, how can organizations use the massive amounts of data they acquire without jeopardizing individual privacy? The solution could be found in a unique amalgamation of data anonymization approaches. As we dive into this fascinating topic, we discover how technology is transforming how we anonymize data, ensuring that the insights we gain are useful and respectful of privacy.