Systems | Development | Analytics | API | Testing

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How to Maintain App Quality at Scale

In February 2024, approximately 89,000 mobile apps were released via the Apple App and Google Play stores—37,000 and 52,000, respectively. That’s about 3,100 mobile apps per day, and that’s not even counting the apps released via other platforms. App consumers know they have options, and if your app isn’t cutting it for them, they can simply delete it and find a better one—which means you can’t afford to scrimp on app quality assurance.

Decoding JSONPath: Navigating the Maze of Modern Data

JSON (JavaScript Object Notation) has become a foundational technology in the dynamic world of data exchange and management. Its lightweight, text-based format for data interchange has gained widespread popularity for its simplicity, ease of understanding, and language independence. Java Script Object Notation’s significant role is largely due to its wide compatibility across various programming environments, establishing it as a preferred choice among web developers and data professionals.

Postman Enables a Self-Serve Data Culture with Hevo Data

Discover how@postman, a leading API platform, was able to cultivate a data-driven culture across teams by making their data easy to use and easy to access. By building a modern data stack using tools like Hevo, Postman enabled folks across teams and hierarchies to take their decisions based on a strong foundation of data.

Combinatorial and model-based testing with Xray Enterprise

🚀 Deliver faster and more reliably than ever before with Xray Enterprise. Xray Test Case Designer will guarantee that 100% of the system interactions are covered in as few tests as possible. Every test you generate with the Test Case Designer is optimized to achieve maximum coverage, allowing teams to achieve greater coverage in fewer overall tests.

How to Verify Digital Content to Avoid Misinformation

Imagine a world where every piece of digital content can be verified and traced back to its source. Lindsay Walker, Product Lead at Starling Lab for Data Integrity, walks us through the emerging tools that could make this possible. While AI tools hold incredible potential for good, Lindsay also warns against threats and countermeasures needed to keep our virtual representations safe. She emphasizes the need to build provenance into tools, discusses blockchain use cases, and shares systems that implement hashes for security.