Deploying a Neo4J single core on managed Kubernetes (Video)friday, june 05, 2020
Besides running a database cluster, it might already be sufficient for your project to deploy a single instance. In the following video I’ll explain how to deploy a single core Neo4J instance using Helm to a managed Kubernetes cluster.
I’ll be using a forked and modified version of the official Helm chart, which you can find in this GitHub repository branch.
The example Helm chart got rid of the discovery mechanisms which are not required and some other Kubernetes resources, so the resulting deployment is simpler compared to the cluster version I showed previously.
Try it yourself
Similar to the cluster version, you can try this out yourself by deploying on a managed Kubernetes environment.
If you need access to a Kubernetes cluster, you can follow this guide to get started on IKS.
You will need Helm in version
cd /tmp/ git clone https://github.com/sdaschner/neo4j-helm --branch single-instance cd neo4j-helm/ helm template graphdb \ --set acceptLicenseAgreement=yes \ --set neo4jPassword=mySecretPassword . \ > /tmp/neo4j.yaml kubectl apply -f /tmp/neo4j.yaml
With that, Kubernetes will provision the resources including the volume claim and your cloud provider will create the persistent volume.
kubectl get pvc NAME STATUS [...] STORAGECLASS AGE datadir-graphdb-neo4j-core-0 Pending ibmc-file-gold 13s
After a while your persistent volumes will be provisioned:
kubectl get pvc NAME STATUS VOLUME STORAGECLASS AGE datadir-graphdb-neo4j-core-0 Bound pvc-8c0ae307-[...] ibmc-file-gold 2m24s
Once that is the case, the single Neo4J pod provided by the stateful set should be up-and-running:
kubectl get pods NAME READY STATUS RESTARTS AGE graphdb-neo4j-core-0 1/1 Running 0 4m13s
Testing the connection, and running the example coffee beans application is similar to the cluster version.
Here, we only have the
core-0 instance available, which is also accessed from the
graphdb-neo4j service, or directly via
port-forward for debugging purposed, as shown previously.
Happy Neo4J graph databasing!
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