In this tutorial, you’ll learn how to set up Apache Kafka, create and delete topics, and send and receive events using the provided scripts. You’ll also learn about similar projects with the same purpose, and how Kafka compares.
URL: https://www.progressiverobot.com/kafka-migration-and-event-streaming/ Introduction Apache Kafka is an open-source distributed event and stream-processing platform written in Java, built to process demanding real-time data feeds. It is inherently scalable, with high throughput and availability. It can scale from a single-node cluster for testing to hundreds of nodes in production to serve large amounts of data. When expanding […]
Build real-time data pipelines with MongoDB and Apache Kafka. Step-by-step setup, Java e-commerce example, and best practices for streaming and durable storage.
In this tutorial, you’ll learn how to deploy Kafka using Docker Compose and deploy it on Kubernetes using Strimzi which integrates into Kubernetes and allows you to configure and maintain Kafka clusters using regular Kubernetes manifests without manual overhead.
In this tutorial, you’ll learn how to ingest data into Kafka topics using Kafka Connect – a tool used for reliably transferring data between Kafka and other systems such as filesystems and databases.
Discover how to master Kafka cluster management with KafkaAdminClient API, kcat CLI, and Kafka Cruise Control for efficient Kafka cluster management.
Secure your Apache Kafka with TLS and SASL, and visualize metrics in Grafana. Learn to configure for safety and monitor with AKHQ.
Learn how to create a Java program that consumes data from a Kafka topic using the Kafka client libraries. Understand how Kafka manages multiple consumers, tracks their progress, and manually reports consumer progress back to the cluster. Improve your Kafka skills with this step-by-step tutorial.
In this tutorial, you’ll create a Java program that produces data into a Kafka topic. You’ll create a Java project using Apache Maven, a tool for building and packaging Java projects, and add the Kafka client library as a dependency.
Learn to create a Kafka cluster with KRaft for scalable, fault-tolerant real-time data processing in this step-by-step tutorial.
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