Apache Kafka provides a powerful set of command-line tools to help developers and administrators manage their Kafka clusters, topics, producers, and consumers. Whether you’re getting started or managing production workloads, these CLI commands are essential for working with Kafka in a ZooKeeper-based setup. Below are the most commonly used Kafka CLI commands to help you … Read more
Apache Kafka is a distributed streaming platform designed for scalability, speed, and fault tolerance. Behind the scenes, two core components play a major role in Kafka’s coordination: ZooKeeper and the Kafka Controller. While both are essential (in traditional Kafka deployments), their roles are often misunderstood — especially around who does what when something fails. Let’s … Read more
Apache Kafka’s consumer group model is a key reason why it scales so well in real-time data pipelines. But under the hood, the coordination between brokers, partitions, partition leaders, group coordinators, and offset tracking is what makes it work seamlessly. In this article, we’ll break down: How partitions are managed and assigned How consumer groups … Read more
In Apache Kafka, two concepts lie at the heart of how data flows and scales: topics and partitions. These simple yet powerful constructs are what make Kafka incredibly scalable, fault-tolerant, and fast. If you’re aiming to understand how Kafka distributes and balances data across systems — this is where it all begins. 🧠 What Is … Read more
In the world of big data, real-time processing, and microservices, the ability to handle large streams of data quickly, reliably, and at scale has become essential. This is exactly where Apache Kafka comes in. Whether you’re building an app that needs to process millions of user events or a system that coordinates dozens of microservices, … Read more
When you build a Spring Boot application and expose a REST endpoint, have you ever wondered what really happens behind the scenes when someone hits that API? In this article, we’ll walk through how a simple HTTP request flows through the Spring Boot ecosystem — from the moment it lands in your application until a … Read more
A Stream in Java is a new abstraction introduced in Java 8. It represents a sequence of elements (like a collection) that can be processed in a functional way. But unlike collections: It doesn’t store data. It operates on data from a source, such as a collection, an array, or I/O channels. It is immutable—you … Read more
Java 8 provides several ready-to-use functional interfaces in the java.util.function package. These interfaces make it easy to write cleaner and reusable code. Let’s start with one of the most commonly used: Predicate<T> A Predicate is a functional interface that represents a single argument function that returns a boolean result. It is commonly used for evaluating … Read more
A functional interface in Java is a special type of interface that has only one abstract method, meaning there is only one method to implement. It can also have default or static methods, but only one method must be abstract. Java 8 also introduced a new annotation called @FunctionalInterface that you can use to mark your … Read more
Java 8 introduced several powerful features, and one of the most important among them is Lambda Expressions. If you’re new to programming or coming from older Java versions, lambda expressions might seem strange at first, but they make your code shorter, cleaner, and easier to understand. What is a Lambda Expression? A lambda expression is … Read more