Process Insights with Red Hat Process Automation Manager and Kibana

Red Hat® Process Automation Manager is a platform for developing containerized microservices and applications that automate business decisions and processes. A critical piece of a business process system is having real-time insights into what is happening, and both monitoring KPI metrics and responding to problem trends is an integral part of operations.

In this video, we will take a look at how we can enable integration with Elasticsearch on a Red Hat® OpenShift environment, and how to represent the KPIs in a graphical business-friendly dashboard using Kibana.

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Native Supersonic Subatomic Applications with Quarkus

Say “Hello” to Buildah, Podman, and Skopeo

Are you still doing all your Linux container management using an insecure, bloated daemon? Well, don’t feel bad. I was too until recently. Now I’m finding myself saying goodbye to my beloved Docker daemon, and saying hello to Buildah, Podman, and Skopeo. In this article, we’ll explore the exciting new world of rootless and daemon-less Linux container tools.

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Configuring Envoy to Auto-Discover Pods on Kubernetes

This blog was originally published on Ales Nosek – The Software Practitioner.

Pods on Kubernetes are ephemeral and can be created and destroyed at any time. In order for Envoy to load balance the traffic across pods, Envoy needs to be able to track the IP addresses of the pods over time. In this blog post, I am going to show you how to leverage Envoy’s Strict DNS discovery in combination with a headless service in Kubernetes to accomplish this.

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How To: Stop and start a production OpenShift Cluster

This post was originally published on the ETI blog here.

So – you want to stop your OpenShift cluster? There are many reasons why you may want to stop your OpenShift cluster. Maybe you have an annual disaster recovery test where you shut down a whole datacenter. Perhaps you want to do some maintenance to your infrastructure or the hypervisor or storage that your cluster is hosted on. It’s not an uncommon to need to be able to do this, so I have collated some of the best practices I have experienced across a multitude of environments, both large and small.

Here is the process that I recommend to use as a best practice in order to stop and start your OpenShift cluster(s). Following this process will give you the best chance of a trouble free maintenance window. As with all things, you should exercise care with this process on your important clusters. Try it on an unimportant environment first and see if it is a good fit for you.

Important: This process will cause an outage to any application workload running on the cluster until the cluster is fully started. The cluster itself will be unavailable until manually started. Care should be taken to run this process only on appropriate environments. It is recommended to have backups available of your environment.

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OpenShift – From Design and Deploy to Deliver and Transform: Optimising Distributed Teams with Agile Practices

Previously published on She ITs and Giggles.

Overview

Frequently when I’m on site I am not directly asked but I am expected to provide answers to my customers how to get the best use of a technology. In this post I’m examining a recent scenario around providing structure around deploying OpenShift in order to provide a collaboration environment that would aide the use of this technology. We were also deploying OpenShift but writing about OpenShift deployment is a well covered subject across the board.

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