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This blog will explain 10 containers anti-patterns that I’ve seen over the past few months: Data or logs in containers – Containers are ideal for stateless applications and are meant to be ephemeral. This means no data or logs should be stored in the container otherwise they’ll be lost when the container terminates. Instead use volume mapping to persist them outside the containers. ELK stack could
14,000 commits and 400 contributors (including one tiny commit from me!) is what build Kubernetes 1.0. It is now available! Download here API Docs Kubectl command tool Getting Started Guide Kubernetes Introduction Slides This blog discusses some of the Kubernetes design patterns. All source code for the design patterns discussed below are available at kubernetes-java-sample. Key Concepts of Kubern
The main characteristics of a microservices-based application are defined in Microservices, Monoliths, and NoOps. They are functional decomposition or domain-driven design, well-defined interfaces, explicitly published interface, single responsibility principle, and potentially polyglot. Each service is fully autonomous and full-stack. Thus changing a service implementation has no impact to other
Microservices follow the divide-and-conquer methodology for technology and teams to create a software that is easier to develop, understand and maintain. The overall quality of the software is much higher because of the CI/CD practices that are an imperative part of using such an architecture. A new paper is released by the Red Hat Reference Architecture Team titled “Microservice Architecture: Bui
Cross-posted from www.voxxed.com/blog/2015/03/9-docker-recipes-for-java-ee-applications/ So, you’d like to start using Docker for Java EE applications? A typical Java EE application consists of an application server, such as WildFly, and a database, such as MySQL. In addition, you might have a separate front-end tier, say Apache, for load balancing a number of application server. A caching layer,
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