Kafka

Explore Apache Kafka's tiered storage feature, which helps scale compute and storage resources independently and provides better client isolation.

Learn about the deployment and configuration of Apache Kafka MirrorMaker 2 used in a Kafka migration context.

This article explores custom metrics autoscaler's key components and configurations, highlighting its effectiveness and focusing on Kafka workloads.

Get an introduction to Kafka Connect's key features and use cases in this excerpt from Kafka Connect: Build and Run Data Pipelines.

Learn how to implement scaling with Apache Kafka consumers on Kubernetes in this demo.

Learn how to maintain consistent, reliable data flows in Kafka messaging environments using pause-resume methods and asynchronous implementation in Spring Boot.

Learn about Red Hat AMQ Streams functionality that helps address the challenge of integrating HTTP-based clients with an Apache Kafka cluster.

This article introduces tiered storage, a new feature from Apache Kafka 3.6.0, and demonstrates how to use it with Amazon S3.

Learn about the architecture, use cases, and components of Kafka MirrorMaker 2.0, a tool that replicates data between Kafka clusters.

Get started wif Kafka Connect, a tool for building reliable and scalable data pipelines.

This Deep Dive helps you to get started with the open source change data capture platform Debezium.

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Discover how event-driven architecture can transform data into valuable business intelligence with intelligent applications using AI/ML.

Learn how to easily deploy an Apache Kafka cluster based on Red Hat AMQ streams using the Ansible collection for Red Hat AMQ streams.

AKHQ is a community GUI for managing Apache Kafka clusters. Learn how to install and connect this tool in an AMQ streams cluster on Red Hat OpenShift 4.

This article demonstrates how to configure a Kafka Connect image to use Debezium SMT with Groovy to route events between topics.

Learn how Apache Kafka Cruise Control optimizes workload and improves performance.

Learn how to configure and deploy a Kafka Connect container with Strimzi, a tool that simplifies the process of running Apache Kafka in a Kubernetes cluster.

This article discusses configuration best practices and recommendations for the Knative Broker implementation for Apache Kafka, which is now GA.

Explore hands-on tutorials for developers who want to learn about application and API connectivity, data transformation, real-time messaging, and data streaming.

This cheat sheet covers the commands for working with the Red Hat OpenShift Application Services CLI tool rhoas.

Learn more about the differences between ActiveMQ and Kafka in this case-based comparison.

Red Hat services work well with open source tools. See how to use a popular Kafka management console with Red Hat OpenShift Streams for Apache Kafka.

Apache Kafka is an open-source distributed streaming platform used for stream processing, real-time data pipelines, and data integration at scale. SQL (Structured Query Language) is a standardized programming language that is used to manage relational databases and perform various operations on their data. This first article in a series of three describes how we can leverage on ksqlDB to process Apache Kafka streams using the industry standard SQL query language.