According to UBS, ChatGPT was the fastest growing consumer application in history. In just two months it went from launch to 100 million monthly active users. That led to a cultural and technological impact that saw Microsoft invest billions in the product’s parent company. But even if your product doesn’t break records, knowing the number of active users can help you understand its product/market fit, the impact of the changes you make, and how well the product retains user loyalty.

Processes are the foundation of your organization. They lay the groundwork for how your business operates, from product development and customer service to procurement and financial operations—and everything in between. Even work that isn’t formally defined in a process is likely a part of one. If you’ve ever tried to map or document a business process, you’ve probably learned that there’s no straightforward way to get it done.

Software testing is an essential part of software development, and test data management (TDM) plays a crucial role in ensuring the quality of a software product. As testing becomes more complex and data-intensive, managing test data effectively is becoming increasingly challenging. In this article, we will explore the importance of test data management and how it can be streamlined with the help of Katalon.

The rapid growth in software delivery as a solution for all business needs for organizations has intensified the demand for efficient and comprehensive software testing processes. Ensuring the quality, reliability, and security of software products is of paramount importance as they become increasingly integrated into various aspects of our lives.

Katalon and OctoPerf play a critical role in the continuous performance testing process, where OctoPerf helps to build the performance activity, and Katalon triggers the build activity and pushes performance reports into the Katalon platform. By integrating Katalon into OctoPerf, you can ensure that you have comprehensive end-to-end test coverage in a fully automated way. The integration between these two solutions will help you automate the build, test, and deployment of your applications.

In software performance testing the landscape is continuously evolving, driven by advancements in technology and the growing complexity of modern applications.

This years I/O can be easily summed up by just one phrase: “AI”. AI absolutely everywhere. Sundar Pichai started, mentioned numerous times and ended the Keynote by mentioning AI. Some of the main announcements around AI for developers included the general availablity of “Bard” supporting 20 programming languages and use of the “PaLM 2” based models with some like “Gecko” small enough to run on mobile devices.

TL;DR: M2 machines are up to 33% faster than M1 machines! For macOS and iOS builds, we see build time improvements of ~50% compared with the Mac Pro.

Hitachi Vantara has once again been recognized as a leader and fast mover in the 2023 GigaOm Radar for Unstructured Data Management: Infrastructure-Focused Solutions, marking the third consecutive year we have achieved this honor. The report emphasizes the growing complexity of unstructured data management and highlights the importance of having a solution that can seamlessly handle data movement at scale automatically.

Software testing is a crucial aspect of any software development process, and test design plays a major role in ensuring the effectiveness of the testing process. It refers to the process of creating test cases that can effectively validate the functionality of the software being developed. It involves identifying test scenarios, defining test conditions, and creating test cases that can detect bugs in the software.