Systems | Development | Analytics | API | Testing

BrowserStack and Bitrise partner to help mobile developers build, test and release apps faster with confidence

In the alphabet of mobile app development, it’s always been our honor to be so close to BrowserStack, so when the opportunity arose to officially partner up to improve your mobile DevOps experience: it was a no-brainer. We’re partnering to offer our customers access to best-in-class mobile-first CI/CD and automated mobile device testing, including an incredible free product offer.

Tracking Errors in Tesla with AppSignal for Elixir

While Elixir provides built-in libraries (like HTTPoison) for making HTTP requests, the Tesla library has gained popularity due to its simplicity, ease of use, and extensibility. Tesla offers a clean and composable way to define requests, handle responses, and customize client behavior. Even so, whenever you're working with external APIs, errors are inevitable. Network issues, server downtime, rate limiting, and unexpected responses can all lead to errors in your application.

Shared Destiny with Snowflake Horizon Catalog Built-In Security

Security has been an integral capability of Snowflake since the company was founded. Through the customer-configurable security capabilities of the Snowflake Horizon Catalog, we empower security admins and chief information security officers (CISOs) to better protect their environments and centralize threat monitoring and role-based access controls across clouds.

Yaml Vs Yml: Developer'S Guide To Syntax And Ease Of Use

It sounds funny to know, but YAML stands for "YAML Ain’t Markup Language." Well, contrary to its unserious nomenclature, it’s considered a pretty widely used data serialization format known for good human readability and scalability. The theory becomes funnier when we realize that YML is simply a brief alternative to YAML, which has been done for some practical purposes.

Coverage Requirements Discovery with WSO2 Accelerator for Healthcare

Coverage Requirements Discovery (CRD) is a process in the U.S. healthcare system that aims to improve the efficiency and accuracy of prior authorization workflows in healthcare. It involves a healthcare provider's system (like an Electronic Health Record or EMR) communicating with a payer's system to determine the specific requirements for a particular service or procedure before it is delivered to a patient.

Ably Chat updates: Introducing message editing and deletion, PLUS support for Android and iOS

We're happy to announce the release of message editing and deletion in our Javascript and React SDKs and within our NEW iOS and Android SDKs for Ably Chat. These additions will enable the development of richer chat experiences and simplify the development of cross-platform chat applications.

Sauce Labs: A one-stop solution for testing

Why did @eMoney Advisor choose Sauce Labs? When you need a one-stop solution for device testing and automation, you can’t compromise. Here’s why Sauce Labs stood out: The platform offers testing across a wide range of devices, ensuring comprehensive coverage with minimal effort. eMoney Advisor was able to automate their testing processes, cutting down on time and boosting efficiency. It allows teams to scale their testing efforts effortlessly, ensuring smooth growth with no testing bottlenecks.

Why real-world testing matters for global apps

How do you test an app used globally—from rural areas with bad connections to the users in cities with the latest devices? At @BlaBlaCar, Quality Assurance Manager, @Rémy Gronencheld explains their approach: Use low-connectivity simulations. Testing apps for offline access and slow networks ensures no user is left behind. Have device diversity. From high-end smartphones to aging devices, BlaBlaCar tests for every user scenario.

How Your Team Can Achieve Sustainable Test Growth: Balancing Speed, Cost, and Quality in the AI Era

The promise of AI-driven development is undeniable – faster code, quicker releases, and unprecedented innovation. But here’s the catch: AI isn’t perfect, and the code it generates could be riddled with hidden flaws. In fact, within three years, over a third of all code will be AI-generated, and much of it may introduce more bugs into production than ever before.