Helmfile Installation

This section covers the installation of the NVCF control plane components, which are required for all self-hosted NVCF deployments.

By default, the NVCF self-hosted stack is deployed using the provided Helmfile as described here. However, you can also install each Helm chart individually using helm install or helm upgrade (see self-hosted-standalone-deployment).

cd path/to/nvcf-self-managed-stack
ls
# Expected contents: helmfile.d/  environments/  secrets/  global.yaml.gotmpl  ...

Namespace Requirements

Each Helm chart in the NVCF stack must be installed into a specific namespace. These namespace assignments are fixed and must not be changed — service-to-service cluster DNS addressing and Vault (OpenBao) authentication claims depend on this layout.

Prerequisites

Required Tools and Software

The following tools must be installed on your deployment machine:

• kubectl
• helm >= 3.12
• helmfile >= 1.1.0 (recommended: 1.1.x)
• helm-diff plugin >=3.11

• A kubernetes cluster (CSP agnostic or on-prem).
• Kubernetes Gateway CRDs installed (optional, required for Gateway API Ingress)
• Artifacts must be available in a registry that your Kubernetes cluster can access. This can be the nvcf-onprem registry for NVCF control plane service artifacts, but function containers and helm charts must be configured to a user-managed registry. See self-hosted-artifact-manifest and self-hosted-image-mirroring.
• The nvcf-self-managed-stack repository must be downloaded to your local machine (see download-nvcf-self-managed-stack).

# Replace with desired version
kubectl apply -f https://github.com/kubernetes-sigs/gateway-api/releases/download/v1.2.0/experimental-install.yaml

# Install helm-diff plugin (required for helmfile)
helm plugin install https://github.com/databus23/helm-diff

kubectl version
# Ensure the Client Version and Server Version are within one minor version of each other.
# Example: Client v1.32.x against Server v1.31.x is OK.
#          Client v1.32.x against Server v1.29.x will cause failures.

Access Requirements

• kubectl configured to the kubernetes cluster you are deploying to

• Personal NGC API Key from ngc.nvidia.com authenticated with nvcf-onprem organization only if you pull artifacts directly from NGC or use NGC as your registry

• Registry credentials for your container registry (ECR, NGC, etc.) - see third-party-registries-self-hosted for setup instructions

• Local Helm/Docker authentication to your container registry where NVCF charts are stored. Helmfile pulls OCI charts during deployment, so your local environment must be authenticated. Examples:

  • AWS ECR: aws ecr get-login-password --region <region> | helm registry login --username AWS --password-stdin <account-id>.dkr.ecr.<region>.amazonaws.com
  • NGC: docker login nvcr.io -u '$oauthtoken' -p <NGC_API_KEY>
  • Other registries: Use docker login or helm registry login as appropriate for your registry

Installation Steps

The installation flow is as follows.

1. Prepare ingress configuration
2. Configure your environment file (environments/<environment-name>.yaml)
3. Configure your secrets file (secrets/<environment-name>-secrets.yaml)
4. Configure image pull secrets (skip if using a CSP registry with built-in credential helpers)
5. Deploy the NVCF control plane components
6. Verify the installation

Step 1. Prepare ingress configuration

1. First, create the required namespaces for NVCF components:

kubectl create namespace envoy-gateway-system && \
kubectl create namespace envoy-gateway && \
kubectl create namespace api-keys && \
kubectl create namespace ess && \
kubectl create namespace sis && \
kubectl create namespace nvcf

2. Next, label the namespaces for NVCF platform identification:

kubectl label namespace envoy-gateway nvcf/platform=true && \
kubectl label namespace api-keys nvcf/platform=true && \
kubectl label namespace sis nvcf/platform=true && \
kubectl label namespace ess nvcf/platform=true && \
kubectl label namespace nvcf nvcf/platform=true

3. Install Envoy Gateway:

helm install eg oci://docker.io/envoyproxy/gateway-helm \
  --version v1.1.3 \
  -n envoy-gateway-system

4. Create the GatewayClass resource:

kubectl apply -f - <<EOF
apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:
  name: eg
spec:
  controllerName: gateway.envoyproxy.io/gatewayclass-controller
EOF

5. Create the Gateway resource:

kubectl apply -f - <<EOF
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: nvcf-gateway
  namespace: envoy-gateway
  annotations:
    # --- AWS (EKS) ---
    service.beta.kubernetes.io/aws-load-balancer-type: "nlb"
    service.beta.kubernetes.io/aws-load-balancer-scheme: "internet-facing"
    # --- GCP (GKE) - use these instead for GCP ---
    # cloud.google.com/load-balancer-type: "External"
    # --- Azure (AKS) - use these instead for Azure ---
    # service.beta.kubernetes.io/azure-load-balancer-internal: "false"
spec:
  gatewayClassName: eg
  listeners:
  - name: http
    protocol: HTTP
    port: 80
    allowedRoutes:
      namespaces:
        from: Selector
        selector:
          matchLabels:
            nvcf/platform: "true"
  - name: tcp
    protocol: TCP
    port: 10081
    allowedRoutes:
      namespaces:
        from: Selector
        selector:
          matchLabels:
            nvcf/platform: "true"
EOF

6. Verify the Gateway is ready:

# Check Gateway status
kubectl get gateway nvcf-gateway -n envoy-gateway
# Wait for PROGRAMMED=True and ADDRESS to appear
kubectl wait --for=condition=Programmed gateway/nvcf-gateway -n envoy-gateway --timeout=300s
# Get the NLB address
GATEWAY_ADDR=$(kubectl get gateway nvcf-gateway -n envoy-gateway -o jsonpath='{.status.addresses[0].value}')
echo "$GATEWAY_ADDR"
# e.g. abc123-4567890.us-west-2.elb.amazonaws.com

7. Proceed to Step 2. Ensure you have your GATEWAY_ADDR ready to use in your environment configuration.

Step 2. Configure your environment file (environments/<environment-name>.yaml)

Environment configuration files define how NVCF is deployed in your specific environment. They are YAML files that provide values to the Helm charts.

Create your environment file from the template below (cp-env-eks-example.yaml).

cd path/to/nvcf-self-managed-stack
touch environments/<environment-name>.yaml
# Copy the template into the file

global:
  # Domain for external access (used by Gateway API HTTPRoutes)
  domain: "GATEWAY_ADDR" # Replace with ELB domain
  # =============================================================================
  # Helm Chart Sources Configuration
  # =============================================================================
  # Configure the OCI registry where NVCF Helm charts are stored.
  # This must point to a registry containing the NVCF chart packages.
  # =============================================================================
  helm:
    sources:
      registry: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
      repository: <your-ecr-repository-name> # if using nvcf-base, this will match the cluster name set in the terraform configuration
      # NGC Example:
      # registry: nvcr.io
      # repository: YOUR_ORG/YOUR_TEAM # e.g. 123456789102/YOUR_TEAM
      # ECR Example:
      # registry: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
      # repository: <your-ecr-repository-name>
  # =============================================================================
  # Container Image Registry Configuration
  # =============================================================================
  # Configure the container registry where NVCF service images are stored.
  # These images are pulled by Kubernetes when deploying the NVCF stack.
  # =============================================================================
  image:
    registry: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
    repository: <your-ecr-repository-name> # if using nvcf-base, this will match the cluster name set in the terraform configuration
    # NGC Example:
    # registry: nvcr.io
    # repository: YOUR_ORG/YOUR_TEAM # e.g. 123456789102/YOUR_TEAM
    # ECR Example:
    # registry: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
    # repository: <your-ecr-repository-name>
  nodeSelectors:
    enabled: true # If using nvcf-base to create EKS cluster, enabled: true
    vault:
      key: nvcf.nvidia.com/workload
      value: vault
    cassandra:
      key: nvcf.nvidia.com/workload
      value: cassandra
    controlplane:
      key: nvcf.nvidia.com/workload
      value: control-plane
  storageClass: "gp3" # Customize to your storage class, if using nvcf-base gp3
  storageSize: "10Gi" # Customize to your storage size, if using nvcf-base 20Gi
  # =============================================================================
  # Observability Configuration
  # =============================================================================
  # Enable distributed tracing via OTLP (dsiabled by default).
  # This must point to an OTLP-compatible collector.
  # =============================================================================
  observability:
    tracing:
      enabled: false
      collectorEndpoint: ""
      collectorPort: 4317
      collectorProtocol: http
      # Example:
      # enabled: true
      # collectorEndpoint: <your-collector-endpoint>
      # collectorPort: <your-collector-port>
      # collectorProtocol: <your-collector-protocol>
fakeGpuOperator:
  enabled: false # If deploying locally with no GPUs, true
  ubuntu:
    imageName: alpine-k8s
    tag: 1.30.12
accounts: # Default NVCF account configuration
  limits:
    maxFunctions: 10
    maxTasks: 10 # Note: Tasks (NVCT) are not currently supported for EA
    maxTelemetries: 10 # Note: BYOO is not currently supported for EA
    maxRegistryCreds: 10
# These static global values are processed in the values template
nats:
  enabled: true
cassandra:
  enabled: true
openbao:
  enabled: true
  migrations:
    issuerDiscovery:
      enabled: true # Recommended true for EKS - discovers OIDC issuer automatically
# Ingress Gateway Configuration
ingress:
  gatewayApi:
    enabled: true
    controllerNamespace: "envoy-gateway-system" # must be set by the environment
    routes:
      nvcfApi:
        routeAnnotations: {}
      apiKeys:
        routeAnnotations: {}
      invocation:
        routeAnnotations: {}
      grpc:
        routeAnnotations: {}
    gateways:
      shared:
        name: "nvcf-gateway" # must be set by the environment
        namespace: "envoy-gateway" # must be set by the environment
        listenerName: http
      grpc:
        name: "nvcf-gateway" # must be set by the environment
        namespace: "envoy-gateway" # must be set by the environment
        listenerName: tcp

domain and ingress Configuration

The domain and ingress sections of the environment file are used to configure the external access to the NVCF control plane.

If using the above example directly for EKS, you would replace the GATEWAY_ADDR with the actual ELB domain you obtained in Step 1.

domain: "GATEWAY_ADDR" # Replace with ELB domain

If using the above example directly for EKS, your ingress configuration would look like this:

ingress:
   gatewayApi:
      enabled: true
      controllerNamespace: "envoy-gateway-system"
      routes:
         nvcfApi:
            routeAnnotations: {}
         apiKeys:
            routeAnnotations: {}
         invocation:
            routeAnnotations: {}
         grpc:
            routeAnnotations: {}
      gateways:
         shared:
            name: "nvcf-gateway"
            namespace: "envoy-gateway"
            listenerName: http
         grpc:
            name: "nvcf-gateway"
            namespace: "envoy-gateway"
            listenerName: tcp

nodeSelectors Configuration

The nodeSelectors section of the environment file is used to configure the nodes on which the NVCF control plane components are deployed. Disable this unless you have a cluster with node selectors pre-configured on node pools within your cluster.

If using nvcf-base to create your cluster, you would enable this section with the following configuration:

nodeSelectors:
  enabled: true
  vault:
    key: nvcf.nvidia.com/workload
    value: vault
  cassandra:
    key: nvcf.nvidia.com/workload
    value: cassandra
  controlplane:
    key: nvcf.nvidia.com/workload
    value: control-plane

cassandra Resource Tuning

The default Cassandra resource limits may be insufficient for clusters with large instance types (e.g., p5.48xlarge), causing Cassandra pods to be OOM-killed during initialization. If you observe Cassandra pods restarting with OOMKilled status, increase the Cassandra resource requests and limits using a Helmfile release values override (see overriding-helm-chart-values).

Add a values block to the cassandra release in helmfile.d/01-dependencies.yaml.gotmpl:

- name: cassandra
  version: 0.9.0
  condition: cassandra.enabled
  namespace: cassandra-system
  <<: *dependency
  values:
    - ../global.yaml.gotmpl
    - ../secrets/{{ requiredEnv "HELMFILE_ENV" }}-secrets.yaml
    - cassandra:
        resources:
          limits:
            cpu: "8"
            memory: 8192Mi
          requests:
            cpu: "2"
            memory: 4096Mi

Then apply the change to just Cassandra:

HELMFILE_ENV=<environment-name> helmfile --selector name=cassandra sync

helm and image Configuration

The helm and image sections tell NVCF which registries to pull Helm charts and container images from.

• helm.sources: The OCI registry where NVCF Helm charts are stored. Helmfile pulls charts from here at deploy time (requires local authentication — see [Access Requirements]).
• image: The container registry where NVCF service images are stored. Kubernetes pulls images from here at runtime.

# Helm Chart Sources Configuration
helm:
  sources:
    registry: "nvcr.io"
    repository: "YOUR_ORG/YOUR_TEAM"
    # NGC Example:
    # registry: nvcr.io
    # repository: 123456789102/YOUR_TEAM
    # ECR Example:
    # registry: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
    # repository: <your-ecr-repository-name>
# Container Image Registry Configuration
image:
  registry: nvcr.io
  repository: YOUR_ORG/YOUR_TEAM
  # NGC Example:
  # registry: nvcr.io
  # repository: 123456789102/YOUR_TEAM
  # ECR Example:
  # registry: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
  # repository: <your-ecr-repository-name>

Overriding Helm Chart Values

# Example: helmfile.d/01-dependencies.yaml.gotmpl
- name: cassandra
  version: 0.9.0
  condition: cassandra.enabled
  namespace: cassandra-system
  <<: *dependency
  values:
    - ../global.yaml.gotmpl
    - ../secrets/{{ requiredEnv "HELMFILE_ENV" }}-secrets.yaml
    - cassandra:
        resources:
          requests:
            cpu: "2"
            memory: 4096Mi
          limits:
            cpu: "8"
            memory: 8192Mi

values:
  - api:
      image:
        tag: 2.223.9
      env:
        NVCF_REGISTRIES_ACCOUNT_PROVISIONING_ARTIFACT_TYPES: "CONTAINER,HELM"

# Preview changes
HELMFILE_ENV=<environment-name> helmfile --selector name=cassandra template
# Apply changes to just that release
HELMFILE_ENV=<environment-name> helmfile --selector name=cassandra sync

Step 3. Configure your secrets file (secrets/<environment-name>-secrets.yaml)

Secrets configuration contains any sensitive data required for NVCF operation. The image pull secret credentials you insert here will be used to bootstrap the NVCF API with registry credentials for all worker components (function sidecars), function containers and helm charts.

These credentials will then be used for function deployments. Note that if the registry credentials are not correct you can always update them using the steps in third-party-registries-self-hosted.

Create your secrets file from the template below (example-secrets.yaml). You must replace all instances of REPLACE_WITH_BASE64_DOCKER_CREDENTIAL with your actual base64-encoded registry credentials.

cd path/to/nvcf-self-managed-stack
touch secrets/<environment-name>-secrets.yaml
# Copy the template into the file

# Required structure for any environment secrets.
# This is the minimal set of values to provide.
# Notes:
# Cassandra:
#   The password should match the value set in the cassandra keyspace migrations
#
# API:
#   The value for the registry will be used in three places, as it is
#   expected the same registry is used as a single source for all images.
#     openbao.migrations.env[1].value
#     api.accountBootstrap.registryCredentials[0].secret.value
#     api.accountBootstrap.registryCredentials[1].secret.value
openbao:
  migrations:
    env:
      # Stored in OpenBao shared secrets (written by migration job)
      - name: DEFAULT_CASSANDRA_PASSWORD
        value: "ch@ng3m3"
      # Stored in OpenBao KV for nvcf-api (written by migration job)
      - name: NVCF_API_SIDECARS_IMAGE_PULL_SECRET
        value: REPLACE_WITH_BASE64_DOCKER_CREDENTIAL # Replace with base64 credentials (ex. NGC / ECR / etc.) for your registry, refer to Working with Third-Party Registries.
      - name: ADMIN_CLIENT_ID
        value: ncp # <- keep this value
api:
  accountBootstrap:
    registryCredentials:
      - registryHostname: nvcr.io # ECR: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
        secret:
          name: nvcr-containers # ECR: ecr-containers
          value: REPLACE_WITH_BASE64_DOCKER_CREDENTIAL # Replace with base64 credentials (ex. NGC / ECR / etc.) for your registry, refer to Working with Third-Party Registries.
        artifactTypes: ["CONTAINER"]
        tags: []
        description: "NGC Container registry"
      - registryHostname: helm.ngc.nvidia.com # ECR: <your-account-id>.dkr.ecr.<your-region>.amazonaws.com
        secret:
          name: nvcr-helmcharts # ECR: ecr-helmcharts
          value: REPLACE_WITH_BASE64_DOCKER_CREDENTIAL # Replace with base64 credentials (ex. NGC / ECR / etc.) for your registry, refer to Working with Third-Party Registries.
        artifactTypes: ["HELM"]
        tags: []
        description: "NGC Helm registry"

Generating Base64-encoded Registry Credentials

Registry credentials must be base64-encoded in the format username:password. For detailed instructions on setting up credentials for specific registries (including IAM user creation for ECR), see third-party-registries-self-hosted.

# Replace YOUR_NGC_API_KEY with your actual personal NGC API key from ngc.nvidia.com
echo -n '$oauthtoken:YOUR_NGC_API_KEY' | base64 -w 0

Step 4. Configure image pull secrets (conditional)

The secrets file you configured in Step 3 handles API bootstrap registry credentials — these allow the NVCF API service to pull user function containers at runtime. Separately, Kubernetes itself needs image pull secrets to pull the NVCF control plane service images (API, SIS, Cassandra, etc.) from your registry.

If your image registry is private and your cluster nodes do not have built-in credential helpers, you must create Kubernetes docker-registry secrets in each NVCF namespace and configure the helmfile to reference them.

1. Create the pull secret in each NVCF namespace (create-nvcr-pull-secrets.sh):

export NGC_API_KEY="<your-ngc-api-key>"
for ns in cassandra-system nats-system nvcf api-keys ess sis vault-system; do
  kubectl create namespace "$ns" --dry-run=client -o yaml | kubectl apply -f -
done
for ns in cassandra-system nats-system nvcf api-keys ess sis vault-system; do
  kubectl create secret docker-registry nvcr-pull-secret \
    --docker-server=nvcr.io \
    --docker-username='$oauthtoken' \
    --docker-password="$NGC_API_KEY" \
    --namespace="$ns" \
    --dry-run=client -o yaml | kubectl apply -f -
done

For registries other than NGC, replace --docker-server, --docker-username, and --docker-password with your registry credentials.

2. Reference the secret in your helmfile environment. The helmfile propagates imagePullSecrets to all NVCF charts automatically. Add the secret name to your environment YAML (e.g. environments/<your-env>.yaml):

imagePullSecrets:
  - name: nvcr-pull-secret

This replaces any need for a separate admission controller or policy engine to inject pull secrets.

Step 5. Deploy the NVCF control plane components

Set kubectl context to your cluster.

Before deploying, preview the rendered Kubernetes manifests:

cd path/to/nvcf-self-managed-stack
HELMFILE_ENV=<environment-name> helmfile template

This command will:

1. Render all Helm charts with your environment and secrets
2. Run validation hooks
3. Display the resulting Kubernetes manifests

Deploy the self-managed stack:

HELMFILE_ENV=<environment-name> helmfile sync

Deployment Progresssion and Monitoring

Helmfile will deploy services in the correct order with dependencies:

Phase 1: Dependency Layer (5-10 minutes)

• NATS messaging service
• OpenBao (secrets management)
• Cassandra (database)
• Helmfile Selector: release-group=dependencies

Phase 2: Control Plane Services (5-10 minutes)

• NVCF API Service
• SIS (Spot Instance Service)
• gRPC Proxy
• Invocation Service
• API Keys Service
• ESS API
• Notary Service
• Admin Issuer Proxy
• Helmfile Selector: release-group=services

kubectl get events -n nvcf -w

Phase 3: Ingress Configuration (1-2 minutes)

• Gateway API Routes (if enabled)
• Helmfile Selector: release-group=ingress

Phase 4: (Optional) GPU Operator (1-2 minutes)

• Fake GPU Operator (optional, for development environments)
• Helmfile Selector: release-group=workers

Open a separate terminal to monitor the deployment progress:

Monitor Each Deployment Phase:

# Check namespace creation and preparation
kubectl get ns
# Phase 1: Check dependency services (release-group=dependencies)
kubectl get pods -n nats-system        # Should see nats-0, nats-1, nats-2
kubectl get pods -n vault-system       # Should see openbao-server-0, openbao-server-1, openbao-server-2
kubectl get pods -n cassandra-system   # Should see cassandra-0, cassandra-1, cassandra-2
# Note: It's normal to see cassandra-initialize-cluster pods with "Error" status.
# The initialization job retries on failure - as long as one pod shows "Completed"
# and cassandra-migrations is Running/Completed, the deployment is progressing normally.
# Phase 2: Check control plane services (release-group=services)
kubectl get events -n nvcf -w       # Watch for account bootstrap failures
kubectl get pods -n nvcf            # API, invocation-service, grpc-proxy, notary-service
kubectl get pods -n sis             # Spot Instance Service
kubectl get pods -n api-keys        # API Keys service, admin-issuer-proxy
...
# Phase 3: Check ingress (release-group=ingress)
kubectl get httproutes -A          # Gateway API routes (if enabled)

Recovering from Partial Deployments

Redeploying Dependencies (if needed):

If a dependency service (Cassandra, NATS, OpenBao) fails or gets stuck, you can safely redeploy it individually:

# Redeploy only Cassandra
HELMFILE_ENV=<environment-name> helmfile --selector name=cassandra apply
# Redeploy all dependencies (NATS, Cassandra, OpenBao)
HELMFILE_ENV=<environment-name> helmfile --selector release-group=dependencies apply

Recovering from Services Failures (without destroying dependencies):

If the release-group=services deployment hangs or fails (for example, account bootstrap failure due to secrets misconfiguration), you can recover without destroying your dependencies.

1. Monitor for failures:

In a separate terminal, watch events in the nvcf namespace:

kubectl get events -n nvcf -w

2. Check the account bootstrap logs (if it failed):

kubectl logs job/nvcf-api-account-bootstrap -n nvcf

3. Check the NVCF API logs for detailed error messages:

kubectl logs -n nvcf -l app.kubernetes.io/name=nvcf-api --tail=100

4. Fix the root cause (e.g., correct your secrets/<environment-name>-secrets.yaml file).

5. Destroy the services and downstream releases:

# Destroy services release group
HELMFILE_ENV=<environment-name> helmfile --selector release-group=services destroy
# Destroy downstream releases (ingress, workers, admin-issuer-proxy)
HELMFILE_ENV=<environment-name> helmfile --selector release-group=ingress destroy
HELMFILE_ENV=<environment-name> helmfile --selector release-group=workers destroy
HELMFILE_ENV=<environment-name> helmfile --selector name=admin-issuer-proxy destroy

6. Clean up the service namespaces:

kubectl delete namespace nvcf api-keys ess sis --ignore-not-found

7. Recreate namespaces and labels (required for Gateway API routing):

kubectl create namespace api-keys && \
kubectl create namespace ess && \
kubectl create namespace sis && \
kubectl create namespace nvcf
kubectl label namespace api-keys nvcf/platform=true && \
kubectl label namespace sis nvcf/platform=true && \
kubectl label namespace ess nvcf/platform=true && \
kubectl label namespace nvcf nvcf/platform=true

8. Re-sync services (this triggers fresh post-install hooks):

HELMFILE_ENV=<environment-name> helmfile --selector release-group=services sync

9. Sync remaining releases after services succeed:

HELMFILE_ENV=<environment-name> helmfile --selector name=admin-issuer-proxy sync
HELMFILE_ENV=<environment-name> helmfile --selector release-group=ingress sync
HELMFILE_ENV=<environment-name> helmfile --selector release-group=workers sync

Full Restart (if dependencies are also broken):

If dependencies are corrupted or you prefer a clean slate, follow the complete [Uninstalling] steps, fix your configuration, then redeploy from Step 1.

Recovering from Gateway Address Changes

If your Gateway or its underlying load balancer was deleted and recreated (e.g., due to a TCPRoute misconfiguration or infrastructure change), the external address will change. Services that depend on the domain value — including Gateway API routes, SIS cluster registration, and API hostname resolution — will break until the new address is propagated.

1. Get the new Gateway address:

GATEWAY_ADDR=$(kubectl get gateway nvcf-gateway -n envoy-gateway -o jsonpath='{.status.addresses[0].value}')
echo "$GATEWAY_ADDR"

2. Update your environment file with the new address:

# Edit environments/<environment-name>.yaml
# Change: domain: "OLD_ADDRESS"
# To:     domain: "NEW_GATEWAY_ADDR"

3. Re-sync ingress and services that depend on the domain:

# Re-sync gateway routes (picks up new domain)
HELMFILE_ENV=<environment-name> helmfile --selector release-group=ingress sync
# Re-sync services that embed the domain (API, admin-issuer-proxy)
HELMFILE_ENV=<environment-name> helmfile --selector release-group=services sync
HELMFILE_ENV=<environment-name> helmfile --selector name=admin-issuer-proxy sync

4. Verify routes are using the new address:

kubectl get httproutes -A
kubectl get tcproutes -A

Step 6: Verify the Installation

Verify the installation is successful by checking the pods are running and the helm releases are successful.

# View all pods with node assignment and status, should all be Running or Completed state
kubectl get pods -A -o wide
# Check helm releases status
helm list -A

Verify API Connectivity (Optional)

If you configured Gateway API ingress, you can verify the NVCF API is accessible by running the following commands.

1. Set up environment variables:

# Get the Gateway address (from Step 1)
export GATEWAY_ADDR=$(kubectl get gateway nvcf-gateway -n envoy-gateway -o jsonpath='{.status.addresses[0].value}')
echo "Gateway Address: $GATEWAY_ADDR"

2. Generate an admin token:

# Generate an admin API token
export NVCF_TOKEN=$(curl -s -X POST "http://${GATEWAY_ADDR}/v1/admin/keys" \
  -H "Host: api-keys.${GATEWAY_ADDR}" \
  | grep -o '"value":"[^"]*"' | cut -d'"' -f4)
echo "Token generated: ${NVCF_TOKEN:0:20}..."

3. List functions (should be empty initially):

# List all functions
curl -s -X GET "http://${GATEWAY_ADDR}/v2/nvcf/functions" \
  -H "Host: api.${GATEWAY_ADDR}" \
  -H "Authorization: Bearer ${NVCF_TOKEN}" | jq .

Next Steps

After the control plane installation is successfully complete, proceed to self-managed-clusters to set up GPU cluster operations.

Uninstalling

To remove the NVCF installation:

HELMFILE_ENV=<environment-name> helmfile destroy

After helmfile destroy completes, clean up the namespaces:

# Delete NVCF namespaces
kubectl delete namespace cassandra-system nats-system vault-system \
  nvcf api-keys ess sis \
  --ignore-not-found

To also remove the Gateway infrastructure created in Step 1:

# Delete the Gateway and GatewayClass resources
kubectl delete gateway nvcf-gateway -n envoy-gateway --ignore-not-found
kubectl delete gatewayclass eg --ignore-not-found
# Uninstall Envoy Gateway
helm uninstall eg -n envoy-gateway-system
# Delete the gateway namespaces
kubectl delete namespace envoy-gateway envoy-gateway-system --ignore-not-found
# (Optional) Remove Gateway API CRDs if no longer needed
kubectl delete -f https://github.com/kubernetes-sigs/gateway-api/releases/download/v1.2.0/experimental-install.yaml