Language translation within a product impacts more than the words on the screen. When not tested thoroughly, localization can alter the compatibility with regional operating systems, interrupt a product’s functionality and scramble the layout of the entire user interface.
Both Agile and DevOps teams feel the pressure to quickly release products to market without sacrificing product quality. Fortunately, cloud based test automation tools enable IT teams to tackle these challenges successfully. In fact, many companies have streamlined QA processes, improved product security, accelerated information sharing and reduced cost - all with cloud based load testing tools.
With 31 billion IoT devices on the market today, it’s safe to say that the Internet of Things isn’t going anywhere anytime soon. From manufacturing and transportation to daily consumer life, IoT devices have integrated so seamlessly within our business and personal lives that it’s hard to imagine life without this technology.
If anything is certain these days, it’s the ever-changing digital landscape of retail. From in-person stores to eCommerce, businesses must offer an omni-channel experience in order to survive in today’s economy. And every consumer touchpoint relies on technology for delivery, be it a seamless frontend user experience online or a secure backend of transaction data to process and approve.
These days, a news story on a cyberattack is as common as the weather report. To defend against these potential attacks, companies have created products and software applications designed to secure their data. But can these security products and applications provide full protection against these threats?
Chances are, you’re reading this blog post on your mobile device. That’s because more and more users - over 50%, to be exact - choose their mobile device for web browsing, online shopping and application interaction.
It’s standard practice for companies to monitor APIs during production to ensure that the live API endpoints are up, functioning quickly and returning expected information to the user. That way, testing teams know whenever something breaks down and can fix any issue before users notice any discrepancy.
But what if consumers find issues related to the API issue before you do? And what if the problem is more serious than slowness?