mysql

Change data capture with Debezium: A simple how-to, Part 1

Change data capture with Debezium: A simple how-to, Part 1

One question always comes up as organizations moving towards being cloud-native, twelve-factor, and stateless: How do you get an organization’s data to these new applications? There are many different patterns out there, but one pattern we will look at today is change data capture. This post is a simple how-to on how to build out a change data capture solution using Debezium within an OpenShift environment. Future posts will also add to this and add additional capabilities.

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Using a MySQL database in your Red Hat OpenShift application

Using a MySQL database in your Red Hat OpenShift application

Creating a MySQL database in Red Hat OpenShift is useful for developers, there’s no doubt about that. But, once the database is ready, with tables and data, how do you use the data in your application? Is there some special magic when using Red Hat OpenShift? What about the fact that pod names can change? This article will walk you through the steps necessary to access a MySQL database that is running in your OpenShift cluster.

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MySQL for developers in Red Hat OpenShift

MySQL for developers in Red Hat OpenShift

As a software developer, it’s often necessary to access a relational database—or any type of database, for that matter. If you’ve been held back by that situation where you need to have someone in operations provision a database for you, then this article will set you free. I’ll show you how to spin up (and wipe out) a MySQL database in seconds using Red Hat OpenShift.

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PHP 7.2, Node.js 10, NGINX 1.14 and others now GA for RHEL

We are pleased to announce general availability Red Hat Software Collections 3.2, which adds these components to Red Hat Enterprise Linux 7:

  • PHP 7.2
  • Varnish Cache 6.0
  • MySQL 8.0
  • NGINX 1.14
  • Node.js 10
  • Git 2.18
  • Update of Apache HTTP server 2.4

These versions are available on Red Hat Enterprise Linux 7 (Devtools or RHSCL channel) for x86_64, s390x, aarch64, and ppc64le.  Read more details about each component in the “New Components details” section.

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Newest PHP, Varnish Cache, MySQL, NGINX, Node.js, and Git now in beta

Newest PHP, Varnish Cache, MySQL, NGINX, Node.js, and Git now in beta

We are pleased to announce the immediate availability Red Hat Software Collections 3.2 beta, which adds these components to Red Hat Enterprise Linux 7:

  • PHP 7.2
  • Varnish Cache 6.0
  • MySQL 8.0
  • NGINX 1.14
  • Node.js 10
  • Git 2.18
  • Update of Apache HTTP server 2.4

These beta versions are available on Red Hat Enterprise Linux 7 (Devtools or RHSCL channel) for x86_64, s390x, aarch64, and ppc64le.  Read more details about each component in the “New Components details” section.

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Announcing GA for latest Software Collections, Developer Toolset, Compilers

Announcing GA for latest Software Collections, Developer Toolset, Compilers

We are pleased to announce the general availability of:

  • Red Hat Software Collections 3.1 (including Ruby 2.5, Perl 2.26, PHP 7.0.27, PostgreSQL 10, MongoDB 3.6, Varnish 5, HAProxy 1.8, Apache 2.4 update)
  • Red Hat Developer Toolset 7.1 (GCC 7.3)
  • Clang/LLVM 5.0, Go 1.8.7, Rust 1.25.0

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Red Hat open source databases in beta: Adds PostgreSQL 10, MongoDB 3.6; updates MySQL 5.7

Red Hat open source databases in beta: Adds PostgreSQL 10, MongoDB 3.6; updates MySQL 5.7

Twice a year, Red Hat distributes new versions of compiler toolsets, scripting languages, open source databases, and/or web tools, etc. so that application developers will have access to the latest, stable versions. These Red Hat supported offerings are packaged as Red Hat Software Collections (scripting languages, open source databases, web tools, etc.), Red Hat Developer Toolset (GCC), and the recently added compiler toolsets Clang/LLVM, Go, and Rust. All are yum installable, and are included in most Red Hat Enterprise Linux subscriptions and all Red Hat Enterprise Linux Developer Subscriptions. Most Red Hat Software Collections and Red Hat Developer Toolset components are also available as Linux container images for hybrid cloud development across Red Hat Enterprise Linux, Red Hat OpenShift Container Platform, etc.

Red Hat Software Collections 3.1 beta brings the following new/updated open source databases:

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Deploying a Spring Boot App with MySQL on OpenShift

Deploying a Spring Boot App with MySQL on OpenShift

This article shows how to take an existing Spring Boot standalone project that uses MySQL and deploy it on Red Hat OpenShift,  In the process, we’ll create docker images which can be deployed to most container/cloud platforms. I’ll discuss creating a Dockerfile, pushing the container image to an OpenShift registry, and finally creating running pods with the Spring Boot app deployed.

To develop and test using OpenShift on my local machine, I used Red Hat Container Development Kit (CDK), which provides a single-node OpenShift cluster running in a Red Hat Enterprise Linux VM, based on minishift. You can run CDK on top of Windows, macOS, or Red Hat Enterprise Linux.   For testing, I used Red Hat Enterprise Linux Workstation release 7.3. It should work on macOS too.

To create the Spring Boot app I used this article as a guide. I’m using an existing openshift/mysql-56-centos7 docker image to deploy MySQL to  OpenShift.

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Red Hat JBoss Data Virtualization on OpenShift: Part 3 – Data federation

Welcome to part 3 of Red Hat JBoss Data Virtualization (JDV) running on OpenShift.

JDV is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. JDV makes data spread across physically diverse systems such as multiple databases, XML files, and Hadoop systems appear as a set of tables in a local database.

When deployed on OpenShift, JDV enables:

  1. Service enabling your data
  2. Bringing data from outside to inside the PaaS
  3. Breaking up monolithic data sources virtually for a microservices architecture

Together with the JDV for OpenShift image, we have made available several OpenShift templates that allow you to test and bootstrap JDV.

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