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In the previous articles of this series, we explored how to build idiomatic gRPC APIs with Kotlin from schema design using Protobuf to leveraging streams, coroutines, and Kotlin DSL builders. Now it’s time to look beyond the application code. In this article, we’ll have a sneak peek on what it Read more…

In the previous articles of this series, we built a solid foundation: from setting up a gRPC service in Kotlin, to mastering schema design, and writing idiomatic, expressive code with Protobuf and Kotlin DSLs. Now, we’re ready to go beyond the basics into features that power real-time, reactive, and resilient Read more…

In the first two articles of this series, we built our first gRPC service in Kotlin and explored the essentials of Protobuf schema design from optional and repeated fields to enums, oneof, maps, and how to evolve your schema safely. In this article, we’ll level up again and explore how Read more…

In the previous (first) article of this series, we introduced gRPC and Protocol Buffers by building a minimal Kotlin gRPC service: a simple NoteService that allowed creating and retrieving notes. Now that we’ve covered the fundamentals and the codebase setup, it’s time to dig a bit deeper into the backbone Read more…

This is the first article in a hands-on series where we’ll explore how to build gRPC services using Kotlin. The series is designed to help you understand not only the technical how-to, but also the design choices behind Protocol Buffers and gRPC. We’ll start simple and gradually introduce more advanced concepts as we go. Here is Read more…

In the previous article, Taking Kotlin Builders to the Next Level: A Type-Safe DSL Approach, we explored how Kotlin’s type-safe builders allow you to build expressive and concise DSLs. But as soon as your DSL starts nesting structures, something sneaky can happen: receiver conflicts. Let’s take a deeper look at this Read more…

You might recall my Simplifying the Builder Pattern article about using Kotlin Data Classes as a simpler version of the Builder pattern. You saw how named parameters and default values removed much of the ceremony you see in a traditional Builder. Now, I want to guide you further. In this Read more…

In the previous chapters, we’ve seen cases where Kotlin’s features can profoundly alter traditional design patterns to a simpler, more concise and expressive solution. In this final article of the series, we’ll explore how Kotlin’s capabilities can help simplify other patterns. The changes and impact shown here can seem to Read more…

The Observer Pattern is a behavioral design pattern where an object (the subject) maintains a list of its dependents (observers), and notifies them automatically of any state changes. This pattern ensures that multiple objects are notified when certain state changes occur. It’s widely used in implementing distributed event handling systems. Read more…

The Proxy Pattern is a structural design pattern in object-oriented programming. It provides a surrogate or placeholder for another object to control access to it. This pattern creates a ‘proxy’ object that acts as an intermediary between the client and the real object. This pattern is useful when direct access Read more…