Sometimes great results in code performance come with a small amount of work. We’d like to tell you a story about how we changed the Allegro mobile homepage and reduced usage of Allegro service infrastructure with only a few lines of code.
Let’s look at what transactions in MongoDB are and how they differ from SQL transactions.
Building a complex web platform can be a real challenge, especially when parts of it are delivered by independent teams. Picking out the correct architecture is crucial, but maintaining it can be even more challenging. Frontend microservices, aka microfrontends, is an architecture that gives a lot of flexibility, but can cause performance issues in the future, if not managed well. This article presents an approach to the microfrontends architecture to keep the frontend technology stack efficient based on the complexity of user interface.
What would you say if we stored 1 000 records in a database, and the database claimed that there were only 998 of them? Or, if we created a database storing sets of values and in some cases the database would claim that some element was in that set, while in fact it was not? It definitely must be a bug, right? It turns out such behavior is not necessarily an error, as long as we use a database that implements probabilistic algorithms and data structures. In this post we will learn about two probability-based techniques, perform some experiments and consider when it is worth using a database that lies to us a bit.
Currently, in the Android world, the topic of modularization is very popular. Many bloggers describe their experiences with it and analyze what Google recommends. Our team started the modularization process before it was hot. I will describe our reasons, decisions, problems and give you some advice. We will see if modularization makes sense and what it brings to the table. I will also post some statistics showing what it looked like before and after the modularization process.
Cloud providers like to brag about high availability and unlimited scaling of their services – and they are correct, as these features are indeed significant advantages of cloud solutions. Their computational power is so high that for most use cases, it’s almost unlimited. In this blog post, I would like to tell you about our experiences with Azure Cosmos DB and batch processing.
