The when in Kotlin defines a conditional expression with more than one branch, that’s the statement you need to use when you want to write a Kotlin switch. In Java, we are using switch case statements. In Java, we need to define a break in each switch case, but in Kotlin we don’t need to. There are two ways you can use them in Kotlin. Either as a statement or as an expression.

Efficient handling of asynchronous data streams is an important tool of modern application development. Kotlin Flows, part of the Kotlin Coroutines library, provide a flexible and elegant solution for working with such data streams. Kotlin Flows are part of Kotlin Coroutines – unlike traditional callbacks or RxJava handling, which can be clunkier and may not directly integrate with your existing code structure easily.

In programming, exception handling is an essential concept to help developers catch and manage errors in a way that will support the application’s architecture robustness. An Exception is an event which disrupts the normal flow of your Android application. It can occur if a user provides an invalid input, or there are runtime errors, such as division by zero. Exceptions happen when there are unexpected conditions, like IOError file reading failed etc.

After a short break, we’re back with Part 2 of this series on Spring Framework, Confluent Cloud, and the Kotlin language. Many organizations that write applications and microservices for the JVM have chosen Spring Framework, leveraging the many libraries available for features such as REST services, persisting data to a variety of datastores, and integration with messaging. These organizations have existing investments in building, testing, deploying, and monitoring applications using Spring.

Kotlin Generics are a way to use generics in Kotlin that have type parameters specified to their usage. This powerful tool defines code components so that they will work with any data type in a flexible and reusable manner – and the main advantage of Kotlin Generics is how they are statically-typed.

Kotlin was built to replace Java. Or at least, supersede it for a wide range of Android development tasks. Released by JetBrains in 2016, it is designed to address some of Java’s drawbacks and provide a smoother, faster alternative for devs everywhere. So really the question in the title is redundant, right? Kotlin is just better, surely? Well, actually it’s much more nuanced than that.

Hey, you! Yeah, you! The puzzled-looking Spring Boot developer, scouring the web for a guide on integrating your microservices with Apache Kafka on Confluent Cloud with Stream Governance. Admit it, you’ve been Googling nonstop for the past hour and all you’ve found are examples using StringSerializer/StringDeserializer with not even the slightest mention of "schema registry-aware" serialization methods. And I bet the examples you found are implemented in Java.

In Kotlin, an enum (short for enumerator) is a special kind of predefined Kotlin data type used to store and represent a fixed set of named constant values, often simply referred to as constants. Each constant is an object, meaning they can have properties and methods, these are enums and are useful for representing elements that are fixed (for example days of the week) and don’t change.

Unit testing is one of the most powerful features of Android app development, saving us crucial time and reducing overall project cost and allowing developers to embrace test driven development With unit testing, we take an individual slice of code and test it to our requirements. If it passes, then the slice of code is pushed to the repository to merge with the existing code. If it fails, the developers fix the error and retest until it passes.