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What's new with Apache Camel 3? | DevNation Tech Talk
Reactive programming is a great way to work with microservices that pass asynchronous data to each other. See it in action with Coderland's latest ride.
Deploy the Reactica code and see it in action.
An in-depth look at the reactive system of microservices that work together to calculate wait times for the Reactica roller coaster.
This video shows you how to deploy and run the Reactica roller coaster.
This video is a short overview of the Reactica architecture and the middleware that supports it.
Read all about the Reactica roller coaster and the system of reactive microservices that keep it running.
This article talks about multiple layers of security available while deploying Red Hat Data Grid on OpenShift. The layers of security offer a combination of security measures provided by Data Grid as well as by OpenShift/Kubernetes.
This article describes how Red Hat Single Sign-On uses open source technology to provide a true multi-site single sign-on authentication platform capable of handling next-generation applications.
Using the Horizontal Pod Autoscaler to autoscale Red Hat Cache Service is a nice way to increase overall system capacity depending on the load. The autoscaler monitors the amount of memory used by the container and adds or removes Cache Service pods based on this measurement. This article provides a demo of how to use the autoscaler to autoscale Red Hat Cache Service.
Red Hat Data Grid was used to power the multi-cloud real-time scavenger hunt game at Red Hat Summit 2018. In this article, you will learn how features of Data Grid were used to implement the games functionality, while replicating across three different cloud environments for high availability and resiliency.
Here are behind-the-scenes details on how the Red Hat Summit 2018 multi-cloud demo was configured to run Red Hat Data Grid in active-active-active mode for cross-site replication across three clouds to handle a large amount of globally routed traffic.