Data observability is a critical aspect of any data-driven business. It refers to the ability to monitor, understand, and troubleshoot data quality issues in real-time. In essence, data observability ensures that data is accurate, reliable, and accessible. It involves collecting and analyzing data from various sources to gain insight into how data is being used, how it is flowing through the system, and whether it is meeting the required quality standards.

Model-based test automation and record and playback — have you heard these buzz phrases before in the world of software testing? They’re two similar approaches to testing, yet they’re vastly different in their execution. But what exactly is the difference between these two techniques and why does it matter?

Load and performance testing remains a vital aspect of any software delivery process. Ensuring that your application supports the anticipated number of concurrent users prevents brand damage, system failures in production, and loss of revenue. There is a saying in engineering that the shape of the solution is dictated by the shape of the problem. Translating this to performance testing solutions, there are several common design elements that all load and performance testing solutions share.

We are pleased to announce Tricentis Vera™ 23.1! This release further enhances the ability for life sciences organizations to streamline their approach to computer systems validation and more easily adopt computer software assurance programs. The new release is a result of a multi-product development effort that spanned Tricentis Vera, Tricentis qTest, and Tricentis Tosca. In Vera, users will be able to incorporate test automation more seamlessly into regulated software testing.

We love our mobile phones. We take pictures, text friends, and sometimes even use them to make a phone call. For many of us, a mobile phone is about the apps. Apps help us stay connected, inform us, and make our work easier. Yet according to one study, users uninstall 49% of apps within the first 30 days of installation. Why? There are many reasons, including the app being too spammy, taking up too much storage space, or the user just didn’t need it anymore.

We are excited to announce the release of NeoLoad 9.2. This release delivers several important features, including enhancements to RealBrowser (see the NeoLoad 9.0 release blog for more information on RealBrowser) as well as integrations with opensource performance testing tools like JMeter and Gatling.

Say hello to the newest features of Tricentis Test Management for Jira (TTM for Jira)! Now, TTM for Jira improves productivity for QA, dev, and delivery teams by keeping test plans, test cases, and history inside Jira. The latest releases include new APIs, along with UX and performance improvements for faster teamwork.

It’s remarkable how many systems can manage unexpected performance demand, scaling resources and continuing operations. Yet truly unexpected demand can still apply enough stress to a system that it crashes. Here, we’re going to examine two failures that resulted from a single corporate controversy.

It’s no secret that more and more applications are moving to the cloud. According to the 2022 Flexera State of the Cloud report, 50% of all workloads are in public clouds. In addition, moving from on-premises software to SaaS was a top priority for 42% of survey respondents. According to the BetterCloud’s 2023 State of SaaSOps report, organizations are using 130 SaaS apps on average. Many of these apps are the backbone of your organization.

Artificial Intelligence (AI) is coming, whether we like it or not. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities.