New Graph Database User from SF

[hi1]

I am new to graph DB and can't believe I didn't find out earlier I love it so much! I was a data analyst but have since then got pretty technical with machine learning and data science. I am so excited to use graph db to figure out hidden relationships in my recommendation dataset for my startup.

Yu Sun
San Francisco

[tom_geudens]

Welcome to the forum Yu !

Regards,
Tom

[ryan_boyd]

Welcome Yu Sun! So happy to have you here. Please share your project when you're ready -- we'd love to hear more about your recommendation dataset!

[hi1]

I end up trying to set up Neo4j in Google Cloud Engine (specifically Kubernetes causal cluster). Everything worked well, except the Neo4j browser. The default configure didn't support bolt connection. It would have been great to be able to use the Neo4j Browser. Any one had success?

[mckenzma]

Welcome You

Here are links to 2 articles/blog posts @david.allen has put together

Running Neo4j on Kubernetes

Launching Neo4j on Google Kubernetes Marketplace Community Content & Blogs

This summer, Neo4j launched the ability to create graph clusters in managed Google Kubernetes instances. Check it out! I'm also adding this as a thread on the community forum so that later folks can find it. You can feel free to post follow-up questions on this topic here, or in the #neo4j-graph-platform:cloud topic.

Idk if you have seen those. Maybe they will help.

Cheers,
Michael

[neo4j_devrel]

Thanks for helping, @mckenzma!

[david_allen]

Docs for setting up browser with neo4j on kubernetes can be found here:

github.com

neo-technology/neo4j-google-k8s-marketplace/blob/master/user-guide/USER-GUIDE.md#neo4j-browser

# Neo4j on Google Kubernetes Engine User Guide

## Overview

Neo4j on GKE allows users to deploy multi-node Neo4j Enterprise Causal Clusters to GKE instances, with configuration options for the most common scenarios.  It represents a very rapid way to get started running the world leading native graph database on top of Kubernetes.

This guide is intended only as a supplement to the [Neo4j Operations Manual](https://neo4j.com/docs/operations-manual/3.4/?ref=googlemarketplace).   Neo4j on GKE is essentially a docker container based deploy of Neo4j Causal Cluster.  As such, all of the information in the Operations Manual applies to its operation, and this guide will focus only on kubernetes-specific concerns and GKE-specific concerns.

## Licensing & Cost

Neo4j on GKE is available to any existing enterprise license holder of Neo4j in a Bring Your Own License (BYOL) arrangement.  Neo4j on GKE is also available under evaluation licenses, contact Neo4j in order to obtain one.   There is no hourly or metered cost associated with using Neo4j on GKE for current license holders; you will pay only for the google compute infrastructure necessary to run the software.

## One time Setup

Before installing Neo4j into your GKE cluster, confirm the following:
- You should have docker and kubectl installed locally from the machine where you want to use neo4j
- You have authenticated google’s CLI tools (gcloud) locally to your account.
- You have run gcloud container clusters get-credentials to configure your local kubectl client to interact with your GKE cluster.
- You should verify that you hold an existing Neo4j Enterprise license, whether purchased, via the startup program, or on an evaluation basis.

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Note that we're using SSH forwarding rather than going straight to the pod because of the networking setup. Please follow up if you have other questions.