Reactive programming is a programming technique for asynchronous applications that lets you structure your code based on “reaction” to data input changes instead of an imperative programming style where you have to poll or block and wait for changes to happen. If you’re not 100% familiar with ReactiveX (RxJava being the implementation for the JVM), perhaps you know Java Stream, which is a similar concept introduced in Java 8.

Tideways history functionality is still mostly based on the features available 4 years ago, before we introduced Services and Environments, Downstream Layers and many others. Time for a redesign of the history to include support for all the features and data that are available now. By using the UI elements from the performance overview our we also introduce a familiar look and feel, where the previous history screen used its own widgets.

The PHP community is large and diverse in their approach to build and run PHP applications. We have seen hundreds of small applications running on a handful of servers and one product running on multiple clusters and hundreds of servers across the globe. Still, we believe all PHP applications regardless of size benefit from monitoring, profiling and exception tracking functionality.

Unless you’ve been living in a cave these last few months (a cave that somehow carries sufficient WiFi coverage to reach our blog), you’ll doubtless have heard about machine learning. If you’re a developer, chances are you’re intrigued. The machine learning algorithm, which solves problems without requiring detailed instructions, is one of the most exciting technologies on the planet.

Ever since we started logging with Bugfender back in 2015, we’ve been working towards integration with Firebase, the app development platform created by Google. Firebase is famous for the breadth of its integration libraries and millions of people use the product around the world, drawn to its sleek UI and range of features.