This is a Google Deployment Manager (DM) template that deploys Neo4j Enterprise Edition. You can run it from the CLI.
The template provisions Instance Group Managers (IGM), pd-ssd, and a Service Account to create a Runtime Config.
You will need a GCP account.
We also need to install glcoud. Instructions for installing the Google Cloud SDK that includes gcloud are here.
To set up your Google environment, run the command:
gcloud init
Now, you'll need a copy of this repo. To make a local copy, run the commands:
git clone https://github.com/neo4j-partners/google-deployment-manager-neo4j.git
cd google-deployment-manager-neo4j
cd scripts
cd neo4j-enterprise
This repo contains different parameters files. You can deploy with any of them using deploy.sh. For example, to deploy the single configuration using parameters.single.yaml, run the command:
./deploy.sh <some deployment name> single
Note for Data Science and Machine Learning Use Cases: In general, we recommend starting with the
singleas opposed toclusterconfiguration. It is easier to get started using Graph Data Science (GDS) on a single instance and doing so has no impact on GDS algorithm and ML performance.
Using the parameters.custom.yaml configuration file, deploy could look like this:
./deploy.sh <some deployment name> custom
The script then passes the cluster configuration to GCP and builds your cluster automatically.
To access the cluster, open the Google Cloud Console, navigate to Compute Engine and pick a node. You can access the Neo4j Browser on port 7474 of the public IP of that node.
To delete your deployment you can either run the command below or use the GUI in the Google Cloud Console.
gcloud deployment-manager deployments delete <some deployment name>
There are a number of useful log files to debug. /var/log/messages is the startup agent log. /var/log/neo4j/debug.log is the Neo4j log.