Kubernetes

This chapter describes how to install and operate a Neo4j standalone instance on Kubernetes.

Currently, the Neo4j product supports Helm charts for a standalone server. If you are interested in working with Neo4j Causal Clusters in Kubernetes, check the Neo4j-Helm Labs project at https://neo4j.com/labs/.

This chapter describes the following:

Introduction — Introduction to running a standalone Neo4j instance on a Kubernetes cluster.
Configure a Neo4j Helm chart and create a Neo4j Helm release — How to configure a Neo4j Helm chart and create a release name for your Neo4j instance.
Quickstart: Deploy a Neo4j instance to a Google Kubernetes Engine (GKE) cluster — A quick start guide for deploying a Neo4j instance to a Google Kubernetes Engine (GKE) cluster.
Quickstart: Deploy a Neo4j instance to an AWS Elastic Kubernetes Service (EKS) cluster — A quick start guide for deploying a Neo4j instance to a AWS Elastic Kubernetes Service (EKS) cluster.
Quickstart: Deploy a Neo4j instance to an Azure Kubernetes Service (AKS) cluster — A quick start guide for deploying a Neo4j instance to an Azure Kubernetes Service (AKS) cluster.
Quickstart: Deploy a Neo4j instance to a local Kubernetes cluster with Docker Desktop — A quick start guide for deploying a Neo4j instance to a local Kubernetes cluster (via Docker Desktop for Mac OS) using Neo4j Helm charts.
Configure and install Neo4j using a customized Helm chart — How to install a Neo4j instance with your preferred configuration using a customized Helm chart.
Persistent volumes — Information about the supported persistent volume types and how to use them with the Neo4j Helm charts.
Access a Neo4j Helm release — How to access a Neo4j instance running on Kubernetes.
Import data — How to import data into a standalone Neo4j instance on a Kubernetes cluster.
Operations — Descriptions of various operations that are specific to using Neo4j running on Kubernetes.
Monitoring How to monitor Neo4j when running on Kubernetes.
Maintenance operations — How to maintain Neo4j when running on Kubernetes.
Troubleshooting — Troubleshooting information that can help you diagnose and correct a problem.

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