Red Hat Software Collection (RHSCL) 2.3 brings new rh-perl524 collection.
It includes Perl 5.24.0, which provides a number of bug fixes and enhancements over the previously released rh-perl520 Software Collection. The details about the changes can be found in 5.22.0 perldelta and 5.24.0 perldelta. The new collection adds package rh-perl524-perl-App-cpanminus, which contains the cpanm utility for getting, extracting, building, and installing modules from the Comprehensive Perl Archive Network (CPAN) repository.
Continue reading “Using Perl 5.24 Red Hat Software Collection”
Microservices Are Here, to Stay
A few years back, most software systems had a monolithic architecture and slow release cycle. In the recent years, there is a clear move towards Microservices architecture, which is optimized for scalability, elasticity, failure, and speed of change. This trend has been further enforced by the adoption of cloud and containers, which also enabled practices such as DevOps.
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All these changes have resulted in a growing number of services to develop and an even bigger number of deployments to do. It soon became clear that the explosion in the number of deployments cannot be controlled using pre-microservices tools and techniques, and new ways have been born. In this article, we will see how Cloud Native platforms such as Kubernetes allow deployment of Microservices in high scale with minimal human intervention.
Continue reading “Microservices Deployments Evolution”
A feature of OpenShift is jobs and today I will be explaining how you can use jobs to run your spark machine, learning data science applications against Spark running on OpenShift. You can run jobs as a batch or scheduled, which provides cron like functionality. If jobs fail, by default OpenShift will retry the job creation again. At the end of this article, I have a video demonstration of running spark jobs from OpenShift templates against Spark running on OpenShift v3.
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API plays a huge part in modern integration architecture design, a good design will allow your application to thrive, a bad design will end up on the cold stone bench and eventually vanishes. 🙁
Continue reading “Applying API Best Practices in Fuse”
The CDK 2.3 version has added the newest OpenShift Container Platform 3.3, allowing us to make use of the Jenkins Pipeline builds as well a special route configuration, which enables A/B deployments. In this post, I will show you how to achieve that configuration using a microservice application.
Continue reading “Jenkins Pipeline Builds and A/B Deployments in CDK”
To get started with FIS 2.0, for people who are just getting to know the technology, here is how I interpret it. Basically, it’s divided into two aspects.
Continue reading Getting Started with Fuse Integration Service 2.0 Tech preview
Red Hat Fuse Integration Service 2.0 tech preview was released a few weeks ago and as it’s based on Red Hat OpenShift 3.3, which has pipeline capability on top of it (tech preview on OpenShift as well), you are able to get one step closer to a more automated and agile continuous integration. As well as, a deployment one-stop platform for us, the integration developer.
Continue reading Automate integration CI/CD process
Wanting to become familiar with nftables, I decided to jump in at the deep end and just use it on my local workstation. The goal was to replace the existing iptables setup, ideally without any drawbacks. The following essay will guide you through what I have done in order to achieve that.
Continue reading “Migrating my iptables setup to nftables”
It’s been a while since Red Hat released version 3.3 of OpenShift Container Platform, this version is full of features.
Continue reading Using Pipelines in OpenShift 3.3+ for CI/CD