Systems | Development | Analytics | API | Testing

In April, we rolled out several exciting updates including Connected Apps for streamlined mobile app releases, advanced build triggers for precise control, a refreshed Workflow Editor, and the Gradle Critical Path Analyzer. Dive into the details and stay updated with our latest product enhancements by reading the full recap!

We’re happy to announce that DreamFactory was added to Snowflake’s Select partnership tier! Our mutual customers are getting tremendous value by using DreamFactory and Snowflake together, and we are excited for more collaboration to come. Through this partnership, we’re aiming to make it easier than ever for businesses to access and utilize their Snowflake data without the headaches of manual API coding.

In the realm of digital design, Sketch has emerged as a game-changer. With its powerful vector editor, built-in prototyping, and collaborative features, Sketch has become the go-to tool for over a million designers worldwide. This article provides an in-depth review of Sketch, tailored for web designers, developers, digital marketers, website owners, and e-commerce managers.

Bun and Node.js are two JavaScript runtime technologies to run JavaScript on the server. Node.js is the undisputed king of server-side development with JavaScript, but Bun has gained popularity thanks to its unbelievable performance capabilities. The real question is, though: does it really make sense to use Bun instead of Node.js? Let's learn about Bun and Node.js, dig into their characteristics, and explore some scenarios where Bun can be a better alternative to Node.js.

In modern web applications, real-time communication has become more than a feature: it's gradually evolved into a necessity. Users expect instant updates, live interactions, and dynamic content. In Rails applications, Action Cable has long been the go-to solution, harnessing WebSockets to fulfill these demands. In this article, we introduce: Let's get started!

As the wave of AI sweeps through the technology landscape, many have hopped on board. Interestingly enough, and often overlooked, is that many AI capabilities are served through APIs. Fancy user interfaces integrate with the actual mechanisms where the magic happens: the APIs. So, when generating revenue through AI platforms, the APIs drive the revenue.

Understanding how to make a GET request to an API using Python is an essential skill for developers. This article will guide you through the process, demonstrating how to use Python’s ‘requests’ library to fetch data, handle the full JSON object in response, and manage API errors efficiently. Step into the practical world of Python GET API calls without any detours.

Let’s pose a hypothetical scenario. You're the API product owner at the Paris, Texas Regional Airport. You're in charge of two main APIs: Flights API and Scheduling API. Flights API is primarily used by local research institutions that are interested in read-only access to information about departures and arrivals. Scheduling API is primarily used by airline partners who are interested in updating information about their flights and gates.

Game development has only grown more complicated as studios adjust to working with increasingly larger projects, globally distributed teams, and limited resources. It’s no surprise that teams are exploring alternative solutions, like cloud game development, to build their next break out game. The appeals of building a game in the cloud include its abilities to minimize developer and artist challenges and optimize your development pipeline.