Throughout my studies at university and work in the industry I switched my primary programming language from Java to C# and back again to Java. This article gathers some of my thoughts on using both languages. It’s not intended to be a comprehensive comparison of Java and C#. There are a lot of other resources on the Internet that cover this topic. Instead, I want to focus on what I personally liked about both languages and how it felt to transition between them.
The following article has two parts. The first part describes improving Allegro iOS app launch time by adopting static linking and sums it up with a speedup analysis. The second part describes how I managed to launch a custom macOS app using not-yet-fully-released dyld3 dynamic linker and also completes with an app launch speedup analysis.
Due to the high interest and controversy concerning this blog post, we believe that it is worth adding some context on how we work and make decisions at Allegro. Each of more than 50 development teams at Allegro has the freedom to choose technologies from those supported by our PaaS. We mainly code in Java, Kotlin, Python and Golang. The point of view presented in the article results from the author’s experience.
We all make errors, but some errors seem so ridiculous we wonder how anyone, let alone we ourselves, could have done such a thing. This is, of course, easy to notice only after the fact. Below, I describe a series of such errors which we recently made in one of our applications. What makes it interesting is that initial symptoms indicated a completely different kind of problem than the one actually present.
Spring is one of the most popular JVM-targeted frameworks. One of the reasons why it has become so popular is writing tests. Even before Spring Boot era, it was easy to run an embedded Spring application in tests. With Spring Boot, it became trivial. JUnit and Spock are two most popular frameworks for writing tests. They both provide great support and integration with Spring, but until recently it was not possible to leverage Spring’s @WebMvcTest in Spock. Why does it matter? @WebMvcTest is a type of an integration test that only starts a specified slice of Spring Application and thus its execution time is significantly lower compared to full end-to-end tests. Things have changed with Spock 1.2. Let me show you, how to leverage this new feature.
At Allegro, feature velocity is a top priority. We believe that one of our critical competitive advantages is the rate at which we introduce new features. In order to achieve a high feature velocity, one of the architectural choices that Allegro made a while back was to move to microservice architecture. So when somebody uses Allegro, a request comes in (and we just have a hypothetical example here) to service D — and we can imagine a service D being a proxy or an API layer — and whatever that service is, it is not going to have all the information it needs to serve a response. So the service D is going to reach out to service C and service F, and F in turn will reach out to A, and it will in turn reach out to B and E, and you see that this very quickly gets complicated. Allegro has somewhere around 500 microservices, so you can imagine how complicated the communication map looks.