OpenShift

Using a custom builder image on Red Hat OpenShift with OpenShift Do

Using a custom builder image on Red Hat OpenShift with OpenShift Do

One of the things I enjoy most about using Red Hat OpenShift is the Developer Catalog. The Developer Catalog is a central location where a team working with Red Hat OpenShift can encapsulate and share how application components and services are deployed.

The Developer Catalog is often used to define an infrastructure pattern referred to as a builder image. A builder image is a container image that supports a particular language or framework, following best practices and Source-to-Image (s2i) specifications.

The OpenShift Developer Catalog provides several standard builder images supporting applications written in Node.js, Ruby, Python, and more. And while the Developer Catalog has many easy ways to get started deploying several supported languages, the catalog is also flexible in allowing you to add your own builder images to support an infrastructure pattern that is not preloaded in the catalog.

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Developer preview of Debezium Apache Kafka connectors for Change Data Capture (CDC)

Developer preview of Debezium Apache Kafka connectors for Change Data Capture (CDC)

With the release of Red Hat AMQ Streams 1.2, Red Hat Integration now includes a developer preview of Change Data Capture (CDC) capabilities to enable data integration for modern cloud-native microservices-based applications. CDC features are based on the upstream project Debezium and are natively integrated with Apache Kafka and Strimzi to run on top of Red Hat OpenShift Container Platform, the enterprise Kubernetes, as part of the AMQ Streams release.

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Accessing Apache Kafka in Strimzi: Part 5 – Ingress

Accessing Apache Kafka in Strimzi: Part 5 – Ingress

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.)

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Accessing Apache Kafka in Strimzi: Part 4 – Load balancers

Accessing Apache Kafka in Strimzi: Part 4 – Load balancers

In this fourth article of our series about accessing Apache Kafka clusters in Strimzi, we will look at exposing Kafka brokers using load balancers. (See links to previous articles at end.) This article will explain how to use load balancers in public cloud environments and how they can be used with Apache Kafka.

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Accessing Apache Kafka in Strimzi: Part 3 – Red Hat OpenShift routes

Accessing Apache Kafka in Strimzi: Part 3 – Red Hat OpenShift routes

In the third part of this article series (see links to previous articles below), we will look at how Strimzi exposes Apache Kafka using Red Hat OpenShift routes. This article will explain how routes work and how they can be used with Apache Kafka. Routes are available only on OpenShift, but if you are a Kubernetes user, don’t be sad; a forthcoming article in this series will discuss using Kubernetes Ingress, which is similar to OpenShift routes.

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Accessing Apache Kafka in Strimzi: Part 2 – Node ports

Accessing Apache Kafka in Strimzi: Part 2 – Node ports

This article series explains how Apache Kafka and its clients work and how Strimzi makes it accessible for clients running outside of Kubernetes. In the first article, we provided an introduction to the topic, and here we will look at exposing an Apache Kafka cluster managed by Strimzi using node ports.

Specifically, in this article, we’ll look at how node ports work and how they can be used with Kafka. We also will cover the different configuration options available to users and the pros and cons of using node ports.

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Accessing Apache Kafka in Strimzi: Part 1 – Introduction

Accessing Apache Kafka in Strimzi: Part 1 – Introduction

Strimzi is an open source project that provides container images and operators for running Apache Kafka on Kubernetes and Red Hat OpenShift. Scalability is one of the flagship features of Apache Kafka. It is achieved by partitioning the data and distributing them across multiple brokers. Such data sharding has also a big impact on how Kafka clients connect to the brokers. This is especially visible when Kafka is running within a platform like Kubernetes but is accessed from outside of that platform.

This article series will explain how Kafka and its clients work and how Strimzi makes it accessible for clients running outside of Kubernetes.

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Announcing Red Hat CodeReady Workspaces 1.2

Announcing Red Hat CodeReady Workspaces 1.2

We are pleased to introduce Red Hat CodeReady Workspaces version 1.2, which provides a cloud developer workspace server and browser-based IDE built for teams and organizations. CodeReady Workspaces includes ready-to-use developer stacks for most of the popular programming languages, frameworks, and Red Hat technologies.

Release overview

Red Hat CodeReady Workspaces 1.2 introduces:

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