In this article, we want to share our approach to using server-driven UI in native mobile apps. In 2019 we created the first version of the in-house server-driven rendering tool called MBox and used it to render the homepage in the Allegro app on Android and iOS. We have come a long way since then, and now we use this tool to render more and more screens in the Allegro apps. After almost three years of working on MBox, we want to share how it works and the key advantages and challenges of using this approach.
With this article, I would like to introduce you to EventStorming and explain to you how to get started. I am not discovering anything new, just gathering available knowledge in one place. What I will show you is a few tips on how to conduct and facilitate EventStorming workshops.
Each of us has probably experienced a time in our career when we wanted to get rid of the Garbage Collector from our application because it was running too long, too often, and perhaps even led to temporary system freezes. What if we could still benefit from the GC, but in special cases, also be able to store data beyond its control? We could still take advantage of its convenience and, at the same time, be able to easily get rid of long GC pauses. It turns out that it is possible. In this article, we will look at whether and when it is worth storing data beyond the reach of the Garbage Collector’s greedy hands.
At Allegro we decided to introduce GraphQL as our API Gateway for building several internal client systems. By building such a solution we’ve learnt a lot about this technology and we would like to share it with you in this article.
Nowadays, technical debt can be considered the bread and butter of most IT-powered enterprises around the world. Almost every company that survived the startup phase and managed to deliver its first products to customers will face at some point technical challenges related to past architectural decisions. Although code engineering gets better every year, we cannot argue with the obvious fact of life: the market will always force many of us to deliver tech products faster than we wish. Time To Market has always been a key success factor for many product companies and it puts a lot of pressure on Engineering to keep up with challenging deadlines.
This blogpost is the result of a research collaboration between the Allegro Machine Learning Research team and the Institute of Mathematics of the Polish Academy of Sciences (IMPAN), Warsaw.
