From Java code in your repo to a running Pod on Kubernetes. This article explains all the steps needed, including basic shortcuts.
Category: Kubernetes
As a computer scientist, I think the best thing about our job is clearly the need to keep up with the latest technological achievements. Depending on the specific area you work in, you can actually always be sure that the solutions to challenges are constantly changing. Kubernetes is no different in that regard. Let’s find […]
By Robert Baumgartner, Red Hat Austria, March 2023 (OpenShift 4.12, OpenShift distributed tracing data collection 0.63) In this blog, I will guide you on how to use OpenTelemetry with a Quarkus application; how to forward your OpenTelemetry information to Tempo and display it in Grafana UI. I will use distributed tracing to instrument my services […]
tl;dr To ensure application consistency for distributed (multi hybrid) cloud environments, streamline your target platform from the bottom up. This helps you dealing with the Moving Target Platform Dilemma (MTPD). As mentioned in the previous article, using the SaaS Kubernetes (K8s) offerings from cloud providers (such as EKS, AKS, GKS) causes your application services to […]
tl;dr You want to gain flexibility by leveraging the K8s offerings from multiple hyperscalers (“cloud providers”) for your application. You gain a bunch of inflexibility by assuring your application behaves equally on all these K8s target platforms. I remember the days as a Java developer when we had to ensure our applications (quite often pre-Spring […]
Photo by Rene Böhmer on Unsplash By using Quarkus you can write lightweight and lightning-fast Java applications that scale on OpenShift/Kubernetes in a matter of milliseconds. But to achieve linear scalability and resilience of your application you should strive to create stateless applications. If you scale up multiple application instances that all connect to the […]
Introduction Back in May of 2020, Red Hat and Amazon Web Services announced a jointly supported, fully managed Red Hat OpenShift offering that is natively integrated into AWS. Since the announcement in November of 2020, customers had the opportunity to get their hands on the preview version of Red Hat OpenShift Service on AWS (ROSA). […]
This walk-through example will encourage you to build an Apache Camel application from scratch, deploy it in a Kubernetes environment, gather metrics using Prometheus and display them in Grafana. Monitoring will automatically adjust when the system scales up or down. Table of Contents Introduction About Prometheus To-Do overview Scraping data The application Enabling Prometheus Enabling […]
OpenShift 3.3 and later contain the functionality to route pod traffic to the external world via a well-defined IP address. This is useful for example if your external services are protected using a firewall and you do not want to open the firewall to all cluster nodes. The way it works is that a egress […]
In the OpenShift world, Services take place on the OSI Layer 3 / IP, while Routing is an OSI Layer 7 / HTTP/TLS concept. Once you’ve wrapped your head around this backwards choice of naming, things are fairly easy: An OpenShift Router is a component which listens on a physical host’s HTTP/S ports for incoming […]