Kafka

Podman Desktop is a lightweight and efficient tool for managing containers and

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.

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.

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.

The latest installment in this monthly column covers improvements in Apache

Learn how to produce and consume messages efficiently using the Knative implementation (which is now available) in Red Hat OpenShift Serverless.

Integration using Apache Camel K makes it possible to build services that are scalable and reliable even when they depend on rapid interaction with data sources.

The latest installment in this monthly column covers improvements in Apache

Kafka Streams is now more accessible than ever, thanks to services offered by AWS and Red Hat OpenShift.