Systems | Development | Analytics | API | Testing

Today we're excited to introduce SCIM (System for Cross-domain Identity Management) support in Kong Insomnia to automatically provision and deprovision user accounts using a third-party IDP. This capability will enormously simplify the process of onboarding enterprise users into Insomnia, and it's available today for every Enterprise plan customer.

AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.

Service virtualization, which gained prominence in 2012, has significantly transformed the way software testing and development are approached. Originally designed to address limited access to dependent systems during development, service virtualization has evolved into a critical technology for enabling efficient and continuous testing. This blog explores its origins, key advancements over the past decade, ongoing challenges, and how API simulation is shaping the future of testing.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.

Feature flags are a powerful tool in software development, allowing developers to control the behavior of an application at runtime without deploying new code. They enable teams to test new features, perform A/B testing, and roll out changes gradually. In Ruby on Rails, feature flags can be managed using diverse tools, the most popular being the Flipper gem.

All but the simplest applications borrow code. You could write everything yourself from just core language features but who has time for that? Instead you take on dependencies, pieces of code written by others that usually give us 80% or more of what we need with 20% of the effort. Sometimes these dependencies are made to interact with a specific technology like a database, or perhaps it’s just a library providing some feature that would be onerous to write yourself.