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PuppyGraph Helm Chart Installation Guide

This guide walks you through installing PuppyGraph using Helm Charts.

Install Helm

Helm is a package manager for Kubernetes that simplifies deployment and management of applications. Install Helm by following the instructions for your operating system:

# macOS (Homebrew)
brew install helm

# Linux (via script)
curl -fsSL https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash

# Windows (Chocolatey)
choco install kubernetes-helm

For more installation details, refer to the official guide: Installing Helm

Verify Helm installation:

Run: 

helm version
If the command executes successfully and outputs version information such as version.BuildInfo, Helm is installed correctly.

Add the PuppyGraph Helm Repository

Add the PuppyGraph Helm repository to access the latest charts:

# Add PuppyGraph Helm repository
helm repo add puppygraph https://puppygraph.github.io/puppygraph-helm-chart/

# Update local Helm chart repository cache
helm repo update

Custom Deployment Guide

Deploy PuppyGraph on any Kubernetes cluster by customizing configuration values.

Deploying a specific version?

If you want to deploy a specific version of PuppyGraph, please refer to the Customize Configuration section.

Generate Default Values

# Generate default values file
helm show values puppygraph/puppygraph > values.yaml

A sample of the key components of the default values file is shown below:

nameOverride: ""

image:
  repository: docker.io/puppygraph/puppygraph
  pullPolicy: Always
  # PuppyGraph image tag to deploy; leave empty to use Chart.appVersion.
  # In production, pin a specific version (e.g. "1.0.0").
  # Available tags: https://hub.docker.com/r/puppygraph/puppygraph/tags
  tag: "latest"

imagePullSecret: ""

rootless: false

serviceAccount:
  create: false
  automount: true
  annotations: {}
  name: "default"

# additional node selectors
nodeSelectors:
  # cloud.google.com/machine-family: "c3d"

# service customizations
service:
  controlplane:
    # Set to LoadBalancer to expose the web UI externally (may incur cloud costs).
    type: ClusterIP
    # Optional LoadBalancer class, for example "service.k8s.aws/nlb" for AWS Load Balancer Controller.
    # Only used when type is LoadBalancer.
    loadBalancerClass: ""
    annotations: {}
  query:
    # Set to LoadBalancer to expose the query service externally (may incur cloud costs).
    type: ClusterIP
    # Optional LoadBalancer class, for example "service.k8s.aws/nlb" for AWS Load Balancer Controller.
    # Only used when type is LoadBalancer.
    loadBalancerClass: ""
    annotations: {}
  leader:
    annotations: {}
  compute:
    annotations: {}

# Please refer to "System Requirements" in PuppyGraph docs. https://docs.puppygraph.com/installation/

# resource for controlplane node (web UI and registry)
controlplane:
  replicas: 1

  # Controlplane readiness probe tuning.
  # Increase initialDelaySeconds/timeoutSeconds/failureThreshold when startup
  # phases are heavy and may briefly fail health checks.

  # readinessProbe:
  #   # Set to false to disable rendering readinessProbe for controlplane pods.
  #   enabled: true
  #   # Wait time before the first probe after container starts.
  #   initialDelaySeconds: 30
  #   # Maximum time for one probe request before it is treated as failed.
  #   timeoutSeconds: 3
  #   # Probe interval.
  #   periodSeconds: 10
  #   # Consecutive failures required to mark the pod Unready.
  #   failureThreshold: 5

  # inject extra Kubernetes PodSpec fields into spec.template.spec
  extraPodSpec: {}
  # inject extra fields into the controlplane container spec
  # examples: securityContext, lifecycle, livenessProbe, startupProbe
  # NOTE: these fields are rendered after chart defaults and may override resources,
  # readinessProbe, lifecycle, and securityContext.
  extraContainerSpec: {}
  # workload-targeted pod annotations rendered into spec.template.metadata.annotations
  # (not on the StatefulSet metadata). Use for things that must live on the pod
  # template, e.g. Datadog Agent Kubernetes autodiscovery (ad.datadoghq.com/...).
  podAnnotations: {}
  # override controlplane image; inherit from global image when empty
  image:
    repository: ""
    pullPolicy: ""
    tag: ""
  resources:
    requests:
      cpu: "2"
      memory: "4Gi"
    limits:
      memory: "4Gi"
  storage:
    size: "10Gi"

# resource for leader nodes
leader:
  replicas: 3

  # Leader readiness probe tuning.
  # Increase initialDelaySeconds/timeoutSeconds/failureThreshold when startup,
  # scaling, or indexing phases are heavy and may briefly fail health checks.

  # readinessProbe:
  #   # Set to false to disable rendering readinessProbe for leader pods.
  #   enabled: true
  #   # Wait time before the first probe after container starts.
  #   initialDelaySeconds: 30
  #   # Maximum time for one probe request before it is treated as failed.
  #   timeoutSeconds: 3
  #   # Probe interval.
  #   periodSeconds: 10
  #   # Consecutive failures required to mark the pod Unready.
  #   failureThreshold: 5

  # inject extra Kubernetes PodSpec fields into spec.template.spec
  # examples: affinity, tolerations, topologySpreadConstraints, hostAliases, priorityClassName
  # NOTE: these fields are rendered after chart defaults and may override securityContext,
  # serviceAccountName, imagePullSecrets, and nodeSelector.
  extraPodSpec: {}
  # inject extra fields into the leader container spec
  # examples: securityContext, lifecycle, livenessProbe, startupProbe
  # NOTE: these fields are rendered after chart defaults and may override resources,
  # readinessProbe, lifecycle, and securityContext.
  extraContainerSpec: {}
  # workload-targeted pod annotations rendered into spec.template.metadata.annotations
  # (not on the StatefulSet metadata). Use for things that must live on the pod
  # template, e.g. Datadog Agent Kubernetes autodiscovery (ad.datadoghq.com/...).
  podAnnotations: {}
  # override leader image; inherit from global image when empty
  image:
    repository: ""
    pullPolicy: ""
    tag: ""
  resources:
    requests:
      cpu: "8"
      memory: "32Gi"
      ephemeral-storage: "10Gi"
    limits:
      memory: "32Gi"

# resource for compute nodes
compute:
  replicas: 3

  # Compute readiness probe tuning.
  # Increase initialDelaySeconds/timeoutSeconds/failureThreshold when startup
  # phases are heavy and may briefly fail health checks.

  # readinessProbe:
  #   # Set to false to disable rendering readinessProbe for compute pods.
  #   enabled: true
  #   # Wait time before the first probe after container starts.
  #   initialDelaySeconds: 30
  #   # Maximum time for one probe request before it is treated as failed.
  #   timeoutSeconds: 3
  #   # Probe interval.
  #   periodSeconds: 10
  #   # Consecutive failures required to mark the pod Unready.
  #   failureThreshold: 5

  # inject extra Kubernetes PodSpec fields into spec.template.spec
  # examples: affinity, tolerations, topologySpreadConstraints, hostAliases, priorityClassName
  # NOTE: these fields are rendered after chart defaults and may override securityContext,
  # serviceAccountName, imagePullSecrets, and nodeSelector.
  extraPodSpec: {}
  # inject extra fields into the compute container spec
  # examples: securityContext, lifecycle, livenessProbe, startupProbe
  # NOTE: these fields are rendered after chart defaults and may override resources,
  # readinessProbe, lifecycle, and securityContext.
  extraContainerSpec: {}
  # workload-targeted pod annotations rendered into spec.template.metadata.annotations
  # (not on the StatefulSet metadata). Use for things that must live on the pod
  # template, e.g. Datadog Agent Kubernetes autodiscovery (ad.datadoghq.com/...).
  podAnnotations: {}
  # override compute image; inherit from global image when empty
  image:
    repository: ""
    pullPolicy: ""
    tag: ""
  resources:
    requests:
      cpu: "8"
      memory: "64Gi"
      ephemeral-storage: "10Gi"
    limits:
      memory: "64Gi"

# define data storage
# if provisioner is not provided, will use preset storage class by name
# other key value pairs are parameters compatible with the provisioner
storage:
  name: ""
  size: "200Gi"
  provisioner: ""
  type: ""

env:
  # applied to both leader and compute pods
  common:
    PRIORITY_IP_CIDR: ""
  # applied to controlplane pods only
  controlplane: {}
  # applied to leader pods only
  leader:
    # This is the number of data replicas for PuppyGraph metadata and local storage (default: 3).
    # Set to 1 if running a single compute node (non-HA) deployment.
    # DATAACCESS_DATA_REPLICATIONNUM: "3"
    CLUSTER_ID: "1000"

# these files will be mounted to /etc/config/puppygraph/
config:
  # Built-in schema content. Set via --set-file config.presetSchema=/path/to/puppygraph-schema.json
  # This will be mounted as /etc/config/puppygraph/schema.json
  presetSchema: ""
  # additional files to mount: map of filename -> file content
  # can be set via --set-file config.files.key\\.json=/path/to/key.json
  files: {}

# If existingSecretName is set, use that Secret and skip creating a new one.
# If `create` is true and existingSecretName is empty, create a Secret from values below.
# `PUPPYGRAPH_USERNAME` and `PUPPYGRAPH_PASSWORD` are for login puppygraph.
# `AUTHENTICATION_JWT_SECRETKEY` is for JWT token signing between controlplane and other nodes.
# More secrets may be needed by schema as environment variables and we can set them here.
secrets:
  existingSecretName: ""
  create: true
  PUPPYGRAPH_USERNAME: "puppygraph"
  PUPPYGRAPH_PASSWORD: "puppygraph123"
  AUTHENTICATION_JWT_SECRETKEY: ""
  # SOME_OTHER_KEY:

Customize Configuration

Edit values.yaml to match your environment. Key configurations include:

  • Image Version: To deploy a specific version of PuppyGraph, update the image.tag field in your values.yaml.

    Example for specifying PuppyGraph version

    image:
  repository: docker.io/puppygraph/puppygraph
  tag: latest
  pullPolicy: Always
    To find out the latest versions, please check released PuppyGraph versions.

    To install a specific chart version, pass an explicit version:

    helm install $RELEASE_NAME puppygraph/puppygraph --version <chart-version>

  • Network CIDR: Set env.common.PRIORITY_IP_CIDR to match your cluster node IP range.

    Check Node IP Range

    Before deployment, check your node internal IPs to configure the network correctly: 

    kubectl get nodes -o wide

  • Storage Size: Adjust storage.size based on data requirements (default: 50Gi).

    Storage Auto-Detection

    If you don't specify storage.provisioner and storage.type, the chart will automatically use the default storage class configured in your Kubernetes cluster.

  • Resources: Adjust CPU and memory requests/limits based on cluster capacity.

  • Replicas: Set appropriate replica counts for leader and compute pods.
  • Environment Variables: Configure PuppyGraph-specific settings under env.*.

Deploy with Custom Configuration

# Set environment variables
export RELEASE_NAME=puppygraph-test
export NAMESPACE=default

# Deploy with custom configuration
helm upgrade --install $RELEASE_NAME puppygraph/puppygraph \
  --namespace $NAMESPACE \
  --create-namespace \
  -f values.yaml

Override Specific Values

You can also override specific values without editing the file using --set flags: 

helm upgrade --install $RELEASE_NAME puppygraph/puppygraph \
    -f values.yaml \
    --set leader.replicas=3 \
    --set compute.replicas=3

Verify Deployment

# Check pod status
kubectl get pods -n $NAMESPACE

# Check persistent volumes
kubectl get pvc -n $NAMESPACE

# Check services
kubectl get svc -n $NAMESPACE

Access PuppyGraph

The chart deploys four services:

  • $RELEASE_NAME-controlplane-service exposes the Web UI (port 8081) and the controlplane gRPC endpoint (port 8082). Configurable via service.controlplane.type (default ClusterIP).
  • $RELEASE_NAME-query-service exposes the openCypher Bolt endpoint (port 7687). Configurable via service.query.type (default ClusterIP).
  • $RELEASE_NAME-leader-service is a headless service used for inter-leader communication; it also exposes the Gremlin port (8182) for direct Gremlin access.
  • $RELEASE_NAME-compute-service is a headless service used for inter-cluster communication.

To access the Web UI locally, port-forward the controlplane service:

kubectl -n $NAMESPACE port-forward --address 0.0.0.0 svc/$RELEASE_NAME-controlplane-service 8081:8081

Then open http://localhost:8081 in your browser.

For Bolt access, port-forward the query service:

kubectl -n $NAMESPACE port-forward --address 0.0.0.0 svc/$RELEASE_NAME-query-service 7687:7687

For Gremlin access, port-forward the leader service:

kubectl -n $NAMESPACE port-forward --address 0.0.0.0 svc/$RELEASE_NAME-leader-service 8182:8182

Access Method

LoadBalancer services are supported on cloud platforms (AWS EKS, GCP GKE, Azure AKS). Set service.controlplane.type=LoadBalancer (or service.query.type=LoadBalancer) in values.yaml to expose externally. For local development with Docker Desktop, use the port-forward method.

Uninstall and Clean Up

Data Loss Warning

These steps will permanently delete all PuppyGraph data.

# Uninstall Helm release
helm uninstall $RELEASE_NAME --namespace $NAMESPACE

# Delete persistent volume claims
kubectl get pvc -n $NAMESPACE | cut -f 1 -d ' ' | grep -E "data-${RELEASE_NAME}\S+" | xargs kubectl delete pvc -n $NAMESPACE