Open Sourcerers
A Guide to Seamless Connectivity in OpenShift and OKD In today’s rapidly evolving technological landscape, the integration of complex architectures into our systems is becoming more prevalent than ever. One of these challenges is to consolidate a multi-cloud architecture into a true hybrid cloud one. In this blog post we will delve into the motivations, solutions, and considerations […]
Photo by Daniel van den Berg on Unsplash On a warm summer day, I visited the Kubernetes Community Days Munich and enjoyed Adrian Reber’s talk about “Forensic container checkpointing and analysis”. Now I want to try that with OpenShift 4.13! This blog post will mainly cover how to enable and use checkpointing on OpenShift 4.13. […]
Introduction As a Solution Architect for Red Hat’s ecosystem, I talk to many independent software vendors (ISVs) about modernizing their applications to enable hybrid cloud and edge strategies. Linux, containers, Kubernetes and micro-services architecture are a default choice nowadays in many new application development projects. But sometimes you can not get rid of some dependencies […]
By Robert Baumgartner, Red Hat Austria, February 2023 (OpenShift 4.12) In this blog I will guide you on how to use service performance monitoring (SPM) with Jaeger. It should work with any application that is working with OpenTelemetry. This document is based on OpenShift 4.12. See Distributed tracing release notes. OpenShift distributed tracing platform Operator […]
From Java code in your repo to a running Pod on Kubernetes. This article explains all the steps needed, including basic shortcuts.
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 […]