In Open Liberty 126.96.36.199, you can now access Kafka-specific properties such as the message key and message headers, rather than just the message payload, as was the case with the basic MicroProfile Reactive Messaging
Message API. Also, you can now set the
SameSite attribute in the session cookie, the LTPA, and JWT cookies as well as in application-defined cookies.
Continue reading How to use the new Kafka Client API for Kafka-specific message properties in Open Liberty 188.8.131.52
New projects require some help. Imagine you are getting ready to start that new feature your business has been asking for the last couple of months. Your team is ready to start coding to implement the new awesome thing that would change your business.
To achieve it, the team will need to interact with the current existing software components of your organization. Your developers will need to interact with API services and event endpoints already available in your architecture. Before being able to send and process information, developers need to be aware of the structure or schema expected by those services.
Red Hat announced the Technical Preview of the Red Hat Integration service registry to help teams to govern their services schemas. The service registry is a store for schema (and API design) artifacts providing a REST API and a set of optional rules for enforcing content validity and evolution. Teams can now use the service registry to query for the schemas required by each service endpoint or register and store new structures for future use.
Continue reading “Getting started with Red Hat Integration service registry”
In the previous articles in this series, we first covered the basics of Red Hat AMQ Streams on OpenShift and then showed how to set up Kafka Connect, a Kafka Bridge, and Kafka Mirror Maker. Here are a few key points to keep in mind before we proceed:
- AMQ Streams is based on Apache Kafka.
- AMQ Streams for the Red Hat OpenShift Container Platform is based on the Strimzi project.
- AMQ Streams on containers has multiple components, such as the Cluster Operator, Entity Operator, Mirror Maker, Kafka connect, and Kafka Bridge.
Now that we have everything set up (or so we think), let’s look at monitoring and alerting for our new environment.
Continue reading “Understanding Red Hat AMQ Streams components for OpenShift and Kubernetes: Part 3”
Red Hat AMQ Streams is an enterprise-grade Apache Kafka (event streaming) solution, which enables systems to exchange data at high throughput and low latency. AMQ Streams is available as part of the Red Hat AMQ offering in two different flavors: one on the Red Hat Enterprise Linux platform and another on the OpenShift Container Platform. In this three-part article series, we will cover AMQ Streams on the OpenShift Container Platform.
To get the most out of these articles, it will help to be familiar with messaging concepts, Red Hat OpenShift, and Kubernetes.
Continue reading “Understanding Red Hat AMQ Streams components for OpenShift and Kubernetes: Part 1”
Red Hat continues to increase the features available for users looking to implement a 100% open source, event-driven architecture (EDA) through running Apache Kafka on Red Hat OpenShift and Red Hat Enterprise Linux. The Red Hat Integration Q4 release provides new features and capabilities, including ones aimed at simplifying usage and deployment of the AMQ streams distribution of Apache Kafka.
Continue reading “Red Hat simplifies transition to open source Kafka with new service registry and HTTP bridge”
After a couple of months in Developer Preview, the Debezium Apache Kafka connectors for change data capture (CDC) are now available as a Technical Preview as part of the Q4 release of Red Hat Integration. Technology Preview features provide early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process.
Continue reading Red Hat advances Debezium CDC connectors for Apache Kafka support to Technical Preview
As part of Red Hat’s AMQ offerings, Red Hat offers a Kafka-based event streaming solution both for traditional deployment and microservices-based deployment branded as Red Hat AMQ Streams. The Red Hat OpenShift AMQ Streams deployment option is based on Strimzi, an open source tool that makes Kafka deployment as a container on a Kubernetes platform easy because most of the deployment prerequisites are automated with the OpenShift Operator Framework.
In this article, we look at how to deploy Apache Kafka on Red Hat OpenShift 4, using reasonable sample microservice applications to showcase the endless possibility of innovation brought by OpenShift and Kafka.
Continue reading “Event-based microservices with Red Hat AMQ Streams”
In the fifth and final part of this series, we will look at exposing Apache Kafka in Strimzi using Kubernetes Ingress. This article will explain how to use Ingress controllers on Kubernetes, how Ingress compares with Red Hat OpenShift routes, and how it can be used with Strimzi and Kafka. Off-cluster access using Kubernetes Ingress is available only from Strimzi 0.12.0. (Links to previous articles in the series can be found at the end.)
Continue reading “Accessing Apache Kafka in Strimzi: Part 5 – Ingress”