There was a time when travel agents were essential for planning trips, not just for businesses but for individuals as well. About a decade ago, before everyone had computers at home and basic mobile phones were considered a luxury, people relied heavily on travel agents. Back then, the internet wasn't an integral part of life, and smartphones weren't widely used. Isn’t that so?

Instead of writing the same automation code repeatedly for the same actions, you can create keywords for those actions. When writing tests, you only need to call these keywords. This approach, known as creating a keyword-driven framework, makes test scripts more readable, maintainable, and efficient by avoiding redundancy.

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.

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.

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.

Like many other industries, fintech has also been witnessing the integration of cognitive technologies as a key driving force behind recent transformations. Powerful tools, such as artificial intelligence (AI) and machine learning, are empowering businesses with swift transaction processing, precise data analysis, and optimized resource utilization. Thus, it is apt to say that a future with sustainable fintech software development cannot be mutually exclusive to the aspirations of cognitive technologies.

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.

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.

REST APIs are a powerful tool to bring together multiple applications. While REST APIs are extremely useful, creating and deploying them into production is a highly complex and time-consuming process. If you’re building your own REST API, you should be familiar with some of the industry best practices for naming REST API endpoints. For many developers, using a development platform is a good way to get started. It streamlines the development process and ensures you're able to get started immediately.

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.