Systems | Development | Analytics | API | Testing

We understand how complex app distribution can be, especially when juggling multiple tools for mobile app testing and store releases. This is what prompted us to build Release Management back in 2022. Originally tightly coupled to Bitrise CI, we're excited to announce that Release Management can now be used with any CI tool. This means all mobile teams can use Release Management, and we're offering it with a generous free tier, regardless of their CI tool.

Today, WSO2 launched updates to the open source API management platform for building and managing full lifecycle APIs with new releases of its core WSO2 API Manager offering and WSO2 API Platform for Kubernetes (WSO2 APK).

Many developers focus on developing core application functionalities and pay little or no attention to memory management until they run out of memory, and their apps start crashing, freezing, or experiencing random performance downgrades.

API observability plays a crucial role in making sure that your API delivers its fullest potential and consistency. Therefore, it’s important to choose the right tool for your observability requirements. In this article, we take a look at two API observability tools—Moesif and Treblle. We briefly discuss the key components of API observability. Then we dive into how Moesif and Treblle compare with each other.

API generation, as implemented by DreamFactory, allows for direct, real-time access to data stored in Snowflake, while Reverse ETL typically involves moving data from the warehouse to operational systems in batches. Here are some specific examples and use cases for each approach.

Imagine working on a cutting-edge software project, your team is excited, the deadlines are looming, and suddenly, a critical flaw emerges just weeks before launch. What if I told you that all this could have been avoided with a solid Test Plan? In this blog, we will delve into the essentials of creating an effective Test Plan, a game-changing document that can save your project from unexpected pitfalls.

Developer productivity is ultimately a measure of the efficiency and effectiveness with which software developers produce high-quality code and complete projects. Where this becomes a bit more complicated is in the relationships between those efforts and the measurements that reflect them.

Rack is the foundation for every popular Ruby web framework in existence. It standardizes an interface between a Ruby application and a web server. This mechanism allows us to pair any Rack-compliant web server (such as Puma, Unicorn, or Falcon) with any Rack-compliant web framework (like Rails, Sinatra, Roda, or Hanami). Separating the concerns like this is immensely powerful and provides a lot of flexibility. It does, however, also come with limitations.