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.

Effective and efficient lakehouse data retention strategies are essential for enabling enterprise security operations (SecOps) teams to unlock the full value of your security log data.

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.

JSON, which stands for JavaScript Object Notation, is a lightweight data-interchange format that offers a way to store and exchange data that is simple to read and write. It can be viewed as a format for organizing data so that different programs can understand it. It is frequently used for transmitting data in web applications between a server and a client. JSON logs are log entries that are formatted in JSON.

Modern organizations generate large amounts of logs from multiple data sources, creating significant challenges when it comes to analyzing the data and extracting useful insights at scale. Data scientists can tackle these challenges with help from Mosaic AI, which helps Databricks users build and deploy artificial intelligence (AI) and machine learning (ML) solutions.

Logs play a vital role in understanding how applications and systems perform, but unstructured log data can be hard to analyse. The Grok parser helps by converting raw logs into structured, readable formats. It is widely used for extracting information such as timestamps, error codes, and IP addresses from logs, making them easier to analyse and query.

In the fast-changing landscape of mobile app development, delivering bug-free apps with a great user experience is essential. But crashes are inevitable, no matter how much developers try to avoid them. There are several mobile crash reporting tools that make the task of identifying, diagnosing and fixing these issues easy as pie.

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.

Modern organizations generate and collect vast amounts of log data each day from an ever-increasing number of sources that includes IT infrastructure, networking devices, applications, cloud services, security tools, and more. This data is essential for powering use cases from security operations and threat hunting to application performance monitoring, but tapping into the full potential of log data can be challenging for organizations without the right tools and capabilities.

Push notifications play an important role in user engagement and retention in your mobile app, keeping users up to date and creating a sense of urgency that leads to purchases. And in Android, we get the added benefit of Firebase Cloud Messaging (FCM) notification service, which acts as a middleman between the app server and the user’s Android device. It helps the delivery of push notifications, even if the app is not active or the user is using a different app on their device.