Kubernetes

This chapter describes how to install and operate Neo4j (standalone or cluster) on Kubernetes.

This is the recommended way to run Neo4j on Kubernetes. The Neo4j Helm Charts replace the Labs Helm Charts project at https://neo4j.com/labs. For more information on how to move from the Labs Helm Charts to the Neo4j Helm Charts, see

This chapter describes the following:

Introduction — Introduction to running Neo4j on a Kubernetes cluster using Neo4j Helm Charts.
Configure the Neo4j Helm Chart repository — Configure the Neo4j Helm Chart repository and check for the available charts.
Quickstart: Deploy a standalone instance — Deploy a Neo4j standalone instance to a cloud (GKE, AWS, AKS) or a local (via Docker Desktop for macOS) Kubernetes cluster.
Quickstart: Deploy a cluster — Deploy a Neo4j cluster to a cloud (GKE, AWS, AKS) Kubernetes cluster.
Configure a Neo4j deployment — Configure a Neo4j deployment using a customized values.yaml file.
Persistent volumes — Use persistent volumes with the Neo4j Helm Charts and what types Neo4j supports.
Access a Neo4j DBMS — Access a Neo4j DBMS running on Kubernetes.
Access a Neo4j cluster — Access a Neo4j cluster running on Kubernetes.
Deploy a single Neo4j cluster across multiple AKS clusters — Deploy a single Neo4j cluster with three primary servers running on three different AKS clusters.
Import data — Import data into a Neo4j database.
Monitoring — Monitor a Neo4j deployment running on Kubernetes.
Operations — Maintain a Neo4j deployment running on Kubernetes.
Troubleshooting — Diagnose and troubleshoot a Neo4j deployment running on Kubernetes.

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