In this blog I will guide you on How to use OpenTelemetry with a Quarkus application. How to display your OpenTeleemtry information on Jaeger UI. In this blog I will use distributed tracing to instrument my services to gather insights into my service architecture. I am using distributed tracing for monitoring, network profiling, and troubleshooting […]
Summary This article describes the installation of Red Hat Advanced Cluster Security (RHACS) using the Operator. It also covers the integration of Tekton Pipelines for the deployment of two different containers and the configuration of a Slack notification. A special feature here is that the installation and configuration is largely automated by scripts and can […]
In this blog I will guide you on How to enable an application performance monitoring (APM). How to scale a user application based on application metrics with a Horizontal Pod Autoscaler (HPA). How to create an alert based on application metrics and send this alert to an external system. For the monitoring, I will use […]
Introduction When you are serious about running a microservice architecture at scale, you will definitely run into some challenges at some point. Beside all the benefits microservices deliver, they’ll also add a layer of complexity and have all the associated complexities of a distributed system. And as the number of services scales, it becomes increasingly […]
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Quickly creating a REST CRUD service with Quarkus, making use of Dev Services for databases and a few extensions to move your service to a Kubernetes cluster.
Kelsey Hightower stated already in 2017, that Kubernetes is not a Platform by itself, but rather a better way to start to build a platform. But what does that really mean? From my point of view, this means that Kubernetes is a platform that provides a core abstraction- and Service layer for cloud-native applications to […]
Adopting Kubernetes in an Enterprise is a daunting task. In this series of articles I am trying to give you an opinionated view on what you might need to consider when you are in the middle of rolling out Kubernetes within your organisation. Whether you are a developer or an IT operator, I am trying […]
loose coupling to surrounding services to have more flexibility in the actual move of applications. Containerize your applications to have them more portable. Switch your test data as much as possible to synthetic data to have less legal and security hurdles. Standardize and automated your testing approach to have better verification possibilities. Beside that automated QA will be one of the major drivers in your business case.
Part 4/4 of the article series “Automated Application Packaging and Distribution with OpenShift – A guide through the jungle of modern development practices with Kubernetes”. This part explains GitOps and discusses an example with ArgoCD and Tekton.