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Tricentis

What's New in TTM for Jira: APIs, faster performance, and UX improvements

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.

Software Performance Failures due to Corporate Controversy

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.

Introducing Tricentis Test Automation: Delivering model-based testing in the cloud

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.

NeoLoad and ChatGPT

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.

6 ways Tosca 16.0 speeds up your Oracle deployments

In a digital-first world, delivering business apps with high efficiency and top-notch quality is critical to your business success and customer satisfaction. Oracle is a major ERP application used by the world’s biggest companies to ensure business runs smoothly, but Oracle deployments are heavy, risky, and slow. How can organizations make them more efficient?