Systems | Development | Analytics | API | Testing

The new bugsnag-kmp SDK is a unified error monitoring solution for Kotlin Multiplatform (KMP) projects, enabling developers to track and monitor errors across Android, iOS, and web platforms from a single codebase. The new SDK works seamlessly on Android, iOS, and web browsers Native Integration, each one linking directly with our existing platform SDKs.

Fivetran’s Connector SDK radically simplifies the process of building custom connectors for unsupported data sources.

To unlock AI’s full potential, organizations must combine strong data integration with human insight and operational alignment.

Choosing the right framework can significantly impact the success of a dev project. If you've chosen to use Python for your project's backend, you might need to decide between Flask and Django, the most popular web frameworks in the Python ecosystem. This article will help you determine which of the two best suits your specific needs by examining the key factors to consider. Before diving into the technicalities, let's briefly introduce both Flask and Django.

To evaluate our software application’s quality and reliability we are going to have to test our application in a variety of ways. The two most basic forms of testing we have available to us are unit testing and functional testing. Unit testing and functional testing are the TRUE basic building blocks of those different types of testing.

The G2 Summer Report 2025 has arrived. Published by the renowned software review website g2.com, this report brings value to both sides of the market: With up to 37 G2 badges received this time, we're really happy to see that our product is resonating with users across a wide range of markets and industry segments, including DevOps, Software Testing, and Automation Testing. Here's a quick recap of the report.

Today, identifying, managing and understanding data is made faster and easier through the use of automation, algorithms and natural language capabilities that enhance – not replace – the key steps along the analytics life cycle. Most importantly, it isn’t as inaccessible as you may think.