How often have you found been buried among piles of emails, expense reports, meeting invites, and other organizational tasks where a little part of you wished that this never-ending to-do list could organize itself on its own or even better, magically vanish? McKinsey reported that in an average workweek, 28% of an employee’s time goes into just responding to emails. Additionally, another 19% is spent on gathering information, while 14% of time is spent on communicative and collaborative tasks.

First published on The New Stack. The pandemic has accelerated the shift towards digital channels for banking, retail, and a host of other services. As a result, businesses are shifting their digital transformation initiatives into overdrive in order to meet customer demand for online interactions, which should be both inviting and secure. APIs act as key drivers behind most successful digital enterprises.

Given the array of ongoing challenges businesses face, including those posed by hybrid work and COVID-19, business automation is more important than ever. In large organizations, many business units have long been using robotic process automation (RPA) to automate simple manual tasks such as copying and pasting data. While RPA can address local needs quickly and easily, it can’t scale to deliver the complete end-to-end automation, also called hyperautomation, that modern companies need.

Selenium is the oldest and most well-recognized automated testing tool for web apps, so a lot of software teams try it out when they first experiment with automated testing. But most teams quickly run into three Selenium disadvantages: Because of these challenges, many software companies that use Selenium find testing to be a huge drain on time, effort, and resources. That’s why we designed Rainforest QA—to solve the limitations of Selenium and make QA easy to scale and maintain.

Our mission is to help our customers solve the hardest challenges in DevOps and we take this mission seriously. We’ve fully embraced the opportunity to grow, build stronger communities, and bring new capabilities to enterprise teams, so there’s nothing getting in the way of innovation. Our comprehensive solutions and deep domain expertise enable those same customers to address quality, security, compliance, collaboration and speed—across the technology lifecycle, at scale.

As the size of a software project grows, so does the complexity of integrating changes made by multiple developers and resolving conflicts and other issues as they arise. Quality control can also become progressively more difficult without proper management of the build pipeline. Automated builds are the standard solution to this problem across the industry. Understanding build automation in detail is a valuable skill for any developer, no matter the size of their team.

A common theme among most software testing organizations is their escalating interest in Test Automation. While test automation has grown in popularity, there are still many myths and biases surrounding it. Such myths can unknowingly create a self-limiting boundary and negatively impact the possibilities of test automation. In this article, I will discuss some common test automation myths and biases that people have towards test automation.