This is the first post in a series that shows how to use the new release of the community version of Red Hat Ansible Tower. In this post, we will start with the installation of AWX on top of OpenShift. In the next post, I’ll show how to set a dynamic inventory to access the servers from AWS (EC2) and how to run a playbook to access our AWS EC2 inventory.
Continue reading “Guide to starting use AWX on top of OpenShift, the upstream of Red Hat Ansible Tower”
According to Wikipedia, entropy is the randomness collected by an operating system or application for use in cryptography or other uses that require random data.
Entropy is often overlooked, misconfigured or forgotten and it can originate in sporadic errors whether it can be timeouts, refused connections, etc. Such errors are difficult to debug as the errors happen only when there is not enough entropy available.
This article tries to explain briefly how to check if this can be a problem in a RHEL system and how to fix it.
NOTE: This article is meant to provide some helpful hints about entropy. It is not meant to be exhaustive or definitive. There are hundreds of information sources on the Internet such as KCS articles; https://access.redhat.com/articles/221583 and https://access.redhat.com/solutions/19866 where this article is based. Check the bibliography section for more information.
Continue reading “Entropy in RHEL based cloud instances”
OpenShift Container Platform (OCP) offers many different types of persistent storage. Persistent storage ensures that data should be insistent between builds and container migrations. When choosing a persistent storage backend to ensure that the backend supports the scaling, speed, dynamic provisioning, RWX/RWO support and redundancy that the project requires. Container-Ready Storage (CRS), or native Gluster for OCP, is defined by the concept of persistent volumes, which are OCP created objects that allow storage to be defined and then used by pods to allow for data persistence.
Continue reading “Gluster for OpenShift – Part 1: Container-Ready Storage”
With a major release, you would usually expect major modifications in the core of the framework. But this time, the migration is not too complicated. Not only because of the migration tool provided to make a smooth transition from Framework 7 to Framework 8, but also because of the similarity in many of the components’ APIs.
Continue reading “Upgrading to Vaadin Framework 8 (Part 1 of 2)”
With nowadays virtualization technologies, low latency communications, CPU Power and The Cloud, the Infrastructure paradigm is being changed from the static old-fashion way of managing servers to a new standard automation way of deploying services.
Continue reading “Documentation as Code”
So, you’ve been told you need to build a Redis Server Cluster. First, if you don’t know what Redis is you are probably thinking, “What is this weird named thing and what do I need to do”. This guide will walk you through both in a way that will hopefully be easy to follow and be easy to repeat in the future.
While you can have more than three servers in a Redis cluster for the sake of simplicity, we will cover setting up a three server Redis cluster. In our three servers cluster, we will have two Redis servers with one Redis Sentinel with HAProxy to assist the Sentinel.
Much of this guide will work with a tested code stored in GitLab (https://gitlab.com/Kittell-Projects/RedHat/Redis) to make it easier to build the cluster. While this code is tested, it is suggested to build in a development environment first.
Continue reading “How To Setup A Redis Server Cluster on Red Hat”
When looking for installation instructions of Ansible under RHEL, I have always have found two ways:
- With epel-release (Which I don’t like just because I want to keep my system clean).
- From source code (Which I don’t like either for the same reason).
Continue reading “Managing Windows Updates with Ansible in Red Hat Enterprise Linux”