When building APIs, developers face a crucial challenge: how to ensure they are structured for both ease of use and long-term scalability. API design patterns offer solutions to this challenge, serving as a roadmap for creating efficient, reliable, and adaptable web services. This guide unpacks these patterns, equipping you with the approaches needed to turn your API into an exemplary model of good design.

Artificial intelligence (AI) is rapidly transforming the business world, and Application testing is no exception. AI-powered testing tools can help businesses to automate tasks, improve accuracy, and reduce costs. One of the most important benefits of using AI for Application testing is that it can help automate repetitive tasks. This can free up testers to focus on more complex and strategic tasks. For example, AI can automate creating test cases, executing test cases, and analyzing test results.

Imagine having the keys to a vault where every piece of data about your business is stored—not just any vault, but one that you built, control, and customize according to your precise specifications! This is the empowering reality of self-hosted analytics. It's like being the captain of your ship, navigating through the vast ocean of digital information with the confidence that comes from knowing every inch of your vessel.

Cron is a time-based job scheduler in Unix-like operating systems. It allows you to schedule tasks (or jobs) to run at specified intervals. Now, let’s get down to business – testing these Cron jobs to make sure they’re doing what they’re supposed to do. How can you be certain they’re doing what they’re supposed to? Enter Cron Job Testing – a crucial step in ensuring the reliability of your scheduled tasks.

Today, we are excited to share insights into the strategic vision, product highlights, and the roadmap that will shape the future of data integration, analytics, AI, and machine learning. Click here to check out the webinar on-demand.

Push notifications play a vital role in user engagement and retention, keeping users up to date and creating a sense of FOMO that leads to purchases. And in iOS, we get the added benefit of Apple’s Push Notification Service (APNs). which acts as a middleman between the app server and the user’s device, facilitating the delivery of push notifications even if the app is not active or the user is checking another of their apps.

Kong Ingress Controller 3.1 provides brand-new capabilities for keeping your secrets secure. We’ve introduced new KongVault and KongLicense CRDs, and added a way to keep sensitive information in your cluster when using KIC in Konnect. Finally, there’s a quality-of-life improvement that allows you to use a Kubernetes secret to populate a single field in a KongPlugin configuration.

In today's dynamic software development landscape, efficient and scalable test management is crucial for ensuring the quality and reliability of software products. Jira, a popular project management tool, offers a robust solution for test management through its integration with Zephyr Scale. In this blog post, we’ll explore the high-level importance of reusability features in test management and how they contribute to scaling your testing efforts.

Effective quality management in the life sciences industry is essential for ensuring patient safety, regulatory compliance, and the delivery of high-quality, efficacious treatments and medical devices. And good quality management is about more than just checking a regulatory box. Ensuring the safety and efficacy of your products can prove challenging, but the right technology can help.

Collective (adj): done by people acting as a group. Collective (noun) a cooperative enterprise. What do these definitions tell us about collective testing? In its most basic form, it is a practice where individuals come together to test products, software, or ideas. Beyond that, collective testing is a powerful tool that not only improves the quality of what’s being tested but also fosters a sense of community and shared purpose.