Last week we showed you how to easily run Infinispan on top of OpenShift. This week we’re trying to do the same on Minikube, a tool that makes it easy to run vanilla Kubernetes locally.

Although we’ve already covered the topic in the past, we felt the descriptors needed a permanent location and an update to the latest Infinispan releases. Detailed instructions can be found in this repository.

With OpenShift, we took advantage of Templates which allow a set of objects to be parameterised. Templates are OpenShift specific, so Kubernetes does not understand them. Instead, we provide you with the individual descriptors required to run Infinispan (Helm chart to come…​). This includes:

Before applying the descriptors, download and install Minikube. Then, set a profile, select the VM driver, give it enough CPU and memory for your experiments, and start it.

Once Minikube it’s running and you have the corresponding kubectl command line tool installed, simply call:

$ kubectl apply -f .

Once all pods are ready, you should verify the 3-node cluster has formed correctly (find out how in the README file).

When ready, you can start storing and retrieving data. The HTTP REST endpoint is particularly useful for these initial tests, to verify everything works as expected:

$ kubectl exec \   -it infinispan-server-0 \   — curl -v -u test:changeme -H 'Content-type: text/plain' -d 'test' infinispan-server-http:8080/rest/default/stuff

Then:

$ kubectl exec -it infinispan-server-1 \   — curl -v -u test:changeme infinispan-server-http:8080/rest/default/stuff

Go and try it out and let us know what you think. You can find us on this Zulip chat :)

Cheers, Galder

I’m happy to announce that JGroups KUBE_PING 0.9.3 was released. The major changes include:

The bits might be downloaded from JBoss Repository as soon as the sync completes. Please download them from here in the meantime. 

I would also like to recommend you recent blog post created by Bela Ban. KUBE_PING was completely revamped (no embedded HTTP Server, reduced dependencies) and we plan to use new, 1.0.0 version in Infinispan soon! If you’d like to try it out, grab it from here.