Data modernization transforms an organization’s data into more usable and accessible formats, making it usable by modern applications and systems, such as cloud-native applications, IoT devices, and mobile applications. Data modernization also includes extracting, cleaning, and migrating the data into advanced platforms.

Imagine that your application is working as if it has no issues at all. This makes customers happy, and you are ready to launch a new feature in the next update. But with the arrival of a new update and new code, everything breaks! It does not only mean that a new feature does not work as intended but also that all functions cease to function correctly. Your team quickly looks for the errors and corrects them, often resulting in increased time, extra costs, and a drop in your company’s credibility.

Every slowdown in your application can be traced to specific components like a database or an API, and quickly identifying the source aids the troubleshooting process. But when an API is underperforming, it may be difficult to tell whether the issue is with the API logic itself or an external service like a database that it interacts with before sending responses.

Manual testing is no longer adequate in the fast-paced world of modern software development to guarantee the dependability and quality of online and mobile applications. With its ability to speed up test execution, enhance test coverage, and facilitate early problem discovery, automation testing services have become an essential technique to succeed.

Quality assurance (QA) is a very important aspect of the SDLC. Without proper QA of the software, it cannot be released. Although the rise of tools such as ChatGPT has made software development easier and made testing applications more crucial to ensuring the quality of applications. QA professionals play a key role in preventing software failures and ensuring high-quality, reliable products that satisfy customers.

Interoperability is one of the main reasons to reverse engineer APIs. Unlike a few decades ago, when software could exist in isolation, nowadays, a program runs on a complicated operating system and involves communication with several libraries created by different people. Reverse engineering APIs for interoperability involves API integration and learning new ways in which programs can exchange and use information.