To see what Databox can do for you, including how it helps you track and visualize your performance data in real-time, check out our home page. Click here. “How are we doing?” You want to know how your company (or team) is performing. Are you trending up or down? What’s the improvement from last month? What’s going well, and what should we pay attention to? In short, “How are we doing?” The question is simple and straightforward. The answer isn’t.

Let's say you own an application program. You wanted to expand its capability and integrated several microservices to do so. Everything works fine, and you will see significant growth in customer traffic. Now, the problem slowly starts building up. You face some customer queries asking for certain fixes. You want to help as much as you can, but unfortunately, you don't know exactly where the problem has occurred. You will have to check the entire thing from the beginning. It feels like doom, isn't it?

Choosing the right development platform can be pivotal for a developer's career trajectory, job satisfaction, and the quality of solutions they’re able to create. The latest data from the Appian Developer Sentiment Survey revealed that the Appian Platform not only advances developer careers but also redefines what they can achieve in the digital landscape. Developers are increasingly recognizing the value of Appian for enhancing job prospects and attaining overall job satisfaction.

Today, we are excited to introduce the latest version of Katalon Studio, designed to transform your testing experience with cutting-edge features and enhancements. Here are the details.

2. Prioritize User Experience: Focusing on user experience (UX) within your test plan is crucial for building software that is not just functional, but also intuitive, enjoyable, and efficient for your target audience. Here's how to deepen your approach: User Personas and Scenarios: Develop user personas representing different user segments and create test cases based on their expected behavior and workflows. This ensures testing caters to the diverse needs of your user base.

Now GA, BigQuery data clean rooms has a new data contributor and subscriber experience, join restrictions, new analysis rules, usage metrics and more.

Differential privacy enforcement with privacy budgeting in BigQuery data clean rooms prevents data from being reidentified when it’s shared.