Apache Kafka

Build real-time streaming data pipelines or streaming applications

An open-source distributed streaming platform for building real-time streaming data pipelines or real-time streaming applications.

27 January 2026

Tutorial

Building an event-driven agentic AI system with Apache Kafka on Confluent Cloud and watsonx Orchestrate

Learn how to build an event-driven agentic AI system using Confluent Cloud and watsonx Orchestrate. Learn how to consume events from a Kafka topic using a watsonx Orchestrate agent, and configure the agent to analyze incoming events as they arrive. To add business context, the agent also references a set of documents, such as policies, procedures, or reference material, and correlates them with event data when generating insights.

22 August 2025

Series

Messaging fundamentals

What is messaging and why is it useful when developing applications? How does it differ from APIs, and where do events fit in? How can messaging improve your microservices applications? Get the answers to these questions and more by reading the following articles in this Messaging Fundamentals learning path.

29 July 2025

Article

IBM Event Streams cheat sheet for developers

In this article, we present some top tips for implementing, debugging, and operating applications with Event Streams.

29 July 2025

Article

IBM Event Streams fundamentals

IBM Event Streams is an event-streaming platform that helps you build smart applications that can react to events as they happen. IBM Event Streams offers a fully managed Apache Kafka service, ensuring durability and high availability.

29 July 2025

Learning Path

IBM Event Streams Developer Essentials

In this learning path, learn the core concepts for Apache Kafka and IBM Event Streams, gain some hands-on experience with an IBM Event Streams instance via a sample application, try out a coding challenge of developing a solution to a problem, and learn how to troubleshoot and debug simple errors and connectivity issues.

29 July 2025

Article

Apache Kafka fundamentals

Learn some of the common use cases for Apache Kafka and then learn the core concepts for Apache Kafka. Learn how producers and consumers work and how Kafka Streams and Kafka Connect can be used to create powerful data streaming pipelines.

29 July 2025

Tutorial

Take the IBM Event Streams Java app coding challenge

In this tutorial, you'll actually build a small application. First, however, you will first run a small binary application. This application will produce some records to a topic. Then, your challenge is to write a consumer application that will consume records from the topic and will recover the secret message that is put inside one of the records.

29 July 2025

Tutorial

Get hands on experience with an IBM Event Streams Java sample application

In this tutorial, we review an IBM Event Streams Java sample application. We look at how to write client code, so that you learn how to produce and consume messages from Apache Kafka.

29 July 2025

Tutorial

Deploying and using a basic Kafka instance

In this tutorial, we’ll show you just how easy it is to deploy a Kafka instance using IBM Event Streams on IBM Cloud service and then connect and run one of the sample applications.

22 July 2025

Article

Event-driven architecture usage patterns for the Kafka era

Explore the typical high-level event driven architecture (EDA) usage patterns for Apache Kafka. We will also look at how these usage patterns typically mature over time to handle issues such as topic governance, stream processing, and AI.

22 May 2025

Tutorial

Enable OMS to read Kafka messages with IBM MQ as bridge

Learn how to integrate Kafka with IBM Sterling OMS using IBM MQ and Kafka Connect for secure, scalable, real-time message processing.

06 May 2025

Article

Introduction to KEDA

Scale your event-driven applications more elegantly with KEDA, a lightweight, open source solution that automatically scales your containers on Kubernetes.

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Apache Kafka

Build real-time streaming data pipelines or streaming applications

Building an event-driven agentic AI system with Apache Kafka on Confluent Cloud and watsonx Orchestrate

Messaging fundamentals

IBM Event Streams cheat sheet for developers

IBM Event Streams fundamentals

IBM Event Streams Developer Essentials

Apache Kafka fundamentals

Take the IBM Event Streams Java app coding challenge

Get hands on experience with an IBM Event Streams Java sample application

Deploying and using a basic Kafka instance

Event-driven architecture usage patterns for the Kafka era

Enable OMS to read Kafka messages with IBM MQ as bridge

Introduction to KEDA