Containers

Kubernetes may be the new application server for some, but not all Java apps. This article discusses the choices: traditional app servers, "just enough app server" choices like Thorntail, and Kubernetes.

The ability to generate Kubernetes YAML from Podman is under development. Podman can now capture the description of local pods and containers and then help users transition to a more sophisticated orchestration environment like Kubernetes. This article provides a demo to illustrate the process.

Learn how to create, develop, and run Sping Boot based Camel/Red Hat Fuse projects using VS Code. You will be able to run locally or deploy to Red Hat OpenShift.

Part 6 of Eric Schabell's integration series covers the storage elements of a generic architectural blueprint for the omnichannel customer experience use case.

Part 3 of a series about using a container platform for automated performance testing. It covers how to automate and orchestrate the provisioning of an environment and the execution of performance tests.

The pod concept for containers was introduced in Kubernetes. Podman lets you manage pods locally, giving it an advantage over other container runtimes.

This article, which is Part 5 of the series, covers core elements of a generic architectural blueprint (container platform and microservices) for the omnichannel customer experience use case.

Part 2 of a series about using a container platform for automated performance testing. It describes how to build an observability stack that can be used during automated performance tests.

Learn how to instrument and monitor Node.js applications on OpenShift with Prometheus. Increase observability of your microservice deployments.

This article, which is Part 4 of the series, covers details pertaining to API management and reverse proxies of a generic architectural blueprint for the omnichannel customer experience use case.

Video: Security Considerations for Container Runtimes. Explains/demonstrates using Kubernetes with different security features for your container environment.

This article discusses a fast and easy way to get Java apps running in a cloud by using OpenShift’s Source-to-Image (S2I) builder with Maven, Gradle,or Java 11.

This article, which is Part 3 of the series, covers details pertaining to the specific elements (mobile and web application deployments) that can be used in a generic architectural blueprint for the omnichannel customer experience use case.

This article describes how to build .NET Core container images using source-to-image (S2I). The container images can be built directly from a git repository, from local sources, or from a pre-built application on, which can be useful on your development machine or as part of a CI/CD pipeline.

Red Hat Container Development Kit (CDK) 3.7 is now available to run an OpenShift/Kubernetes cluster on your laptop for developing cloud- and container-based applications.

This article describes an easy installation demo that shows how to quickly install Red Hat Process Automation Manager so you have a standard configuration to start your first business rules project.

This article, which is Part 2 of the series, describes generic, common architectural elements that can be used in a generic architectural blueprint for the omnichannel customer experience use case.

Containers can be simple. Learn how to run MariaDB, Apache HTTPD, and WordPress in containers, managed through systemd and systemctl.

This article introduces the new Red Hat OpenShift extension for Visual Studio Code. It explains the benefits the extension provides, provides a demo video of using the extension, and covers installation details.

This article, which is the first in a series, discusses how integration is the key to omnichannel customer experience.