Parseable
InstallationStandalone

Kubernetes (OSS)

Install Parseable OSS in standalone mode on Kubernetes with Helm. Follow the setup steps and practical guidance for using Kubernetes (OSS) in your Parseable…


This guide installs Parseable OSS as a single standalone pod on Kubernetes. You can use local storage, MinIO, Amazon S3, Google Cloud Storage, or Azure Blob Storage.

Standalone mode supports Parseable OSS only. To install Parseable Enterprise, use the distributed Enterprise Kubernetes guide.

Prerequisites

Before you begin, make sure you have:

  • kubectl installed and configured for the Kubernetes cluster where you want to install Parseable
  • Helm 3 or later
  • A Kubernetes storage class
  • An existing, empty bucket or container with access credentials if you use an object store

Confirm the Kubernetes context and find an available storage class:

kubectl config current-context
kubectl get nodes
kubectl get storageclass

The kubectl config current-context output should point to the cluster where you want to install Parseable. Use one of the storage class names returned by kubectl get storageclass in the values file below.

1. Create the namespace

kubectl create namespace parseable

If you are testing in a shared cluster, use a separate namespace for your test installation and replace parseable in the commands below with that namespace.

2. Choose a storage option

Choose exactly one storage option below. Replace every <...> placeholder in the selected option before creating the Kubernetes Secret.

After completing one option, continue to step 4.

Option A: Local storage

Create a file named parseable-env-secret:

cat <<'EOF' > parseable-env-secret
addr=0.0.0.0:8000
username=admin
password=<password>
EOF

Use local-store in standalone-values.yaml.

Option B: MinIO

This single-node MinIO setup is for testing only. Skip the installation if you already have a MinIO or another S3-compatible object store.

Install MinIO and create a bucket named parseable:

helm repo add minio https://charts.min.io/
helm install --namespace minio --create-namespace --set "buckets[0].name=parseable,buckets[0].policy=none,buckets[0].purge=false,rootUser=minioadmin,rootPassword=minioadmin,replicas=1,persistence.enabled=true,persistence.storageClass="",resources.requests.memory=128Mi,mode=standalone" minio minio/minio

Forward the MinIO console port:

kubectl port-forward svc/minio-console -n minio 9001:9001

Open http://localhost:9001. A bucket named parseable should be available.

Create a file named parseable-env-secret using the MinIO test credentials:

cat << EOF > parseable-env-secret
s3.url=http://minio.minio.svc.cluster.local:9000
s3.access.key=minioadmin
s3.secret.key=minioadmin
s3.region=us-east-1
s3.bucket=parseable
addr=0.0.0.0:8000
username=admin
password=admin
EOF

These credentials are for testing only. Replace the MinIO and Parseable administrator credentials before using this setup outside a test cluster.

Use s3-store in standalone-values.yaml.

Option C: Amazon S3

Create a file named parseable-env-secret using the bucket credentials provided by your AWS administrator:

cat <<'EOF' > parseable-env-secret
addr=0.0.0.0:8000
username=admin
password=<password>
s3.url=<s3.url>
s3.access.key=<s3.access.key>
s3.secret.key=<s3.secret.key>
s3.bucket=<s3.bucket>
s3.region=<s3.region>
EOF

Using Amazon EKS IRSA with Helm chart 3.0.1 or later? Omit s3.access.key and s3.secret.key and configure the Parseable ServiceAccount instead. Follow the S3 IRSA guide.

Use s3-store in standalone-values.yaml.

Option D: Google Cloud Storage

Create a file named parseable-env-secret using the bucket details provided by your Google Cloud administrator:

cat <<'EOF' > parseable-env-secret
addr=0.0.0.0:8000
username=admin
password=<password>
gcs.url=<gcs.url>
gcs.bucket=<gcs.bucket>
EOF

Keep the service-account JSON file ready. You will create its Kubernetes Secret after creating the main Secret.

The service-account JSON file is a credential. Store it securely and never commit it to source control.

Use gcs-store in standalone-values.yaml.

Option E: Azure Blob Storage

Create a file named parseable-env-secret using the storage credentials provided by your Azure administrator:

cat <<'EOF' > parseable-env-secret
addr=0.0.0.0:8000
username=admin
password=<password>
azr.access_key=<azr.access_key>
azr.account=<azr.account>
azr.container=<azr.container>
azr.url=<azr.url>
EOF

Use blob-store in standalone-values.yaml.

3. Create the Kubernetes Secret

Review the file created for your selected storage option, then create the Secret:

chmod 600 parseable-env-secret

kubectl create secret generic parseable-env-secret \
  --namespace parseable \
  --from-env-file=parseable-env-secret

If you selected Google Cloud Storage, also create the service-account key Secret:

kubectl create secret generic parseable-gcs-key \
  --namespace parseable \
  --from-file=key.json='<path-to-service-account-json>'

Confirm that the required Secrets exist without displaying their values:

kubectl get secret parseable-env-secret --namespace parseable
kubectl get secret parseable-gcs-key --namespace parseable

The second command is required only for Google Cloud Storage.

Delete the local plaintext configuration file after creating the Secret:

rm parseable-env-secret

4. Add the Parseable Helm repository

helm repo add parseable https://charts.parseable.com
helm repo update parseable

5. Create standalone-values.yaml

Create a file named standalone-values.yaml:

parseable:
  deploymentMode: standalone

  image:
    repository: quay.io/parseablehq/parseable
    tag: "" # Defaults to the Helm chart appVersion
    pullPolicy: IfNotPresent

  store:
    # Local storage: local-store
    # MinIO and Amazon S3: s3-store
    # Google Cloud Storage: gcs-store
    # Azure Blob Storage: blob-store
    type: local-store
    secretName: parseable-env-secret
    # Google Cloud Storage only: uncomment this block.
    # gcsCredentials:
    #   secretName: parseable-gcs-key
    #   secretKey: key.json
    #   mountPath: /var/secrets/google

  standalone:
    unified:
      env:
        RUST_LOG: warn
      resources:
        requests:
          cpu: 250m
          memory: 1Gi
        limits:
          cpu: 500m
          memory: 4Gi
      persistence:
        staging:
          enabled: true
          storageClass: <storage-class>
          accessMode: ReadWriteOnce
          size: 5Gi
        data:
          enabled: true
          storageClass: <storage-class>
          accessMode: ReadWriteOnce
          size: 5Gi

To enable OIDC, add the variables under parseable.standalone.unified.env. See the OIDC guide.

Before continuing:

  1. Set parseable.store.type for the storage option selected in step 3.
  2. If you selected Google Cloud Storage, uncomment the gcsCredentials block.
  3. Replace each enabled volume's <storage-class> with a storage class returned by kubectl get storageclass.
  4. Adjust volume sizes for your workload.

You can render the chart before installing it:

helm template parseable parseable/parseable \
  --namespace parseable \
  --values ./standalone-values.yaml

This catches invalid storage combinations before anything is created in the cluster.

Storage behavior

  • staging.enabled: true creates a staging PVC. false uses emptyDir, so pending staged data is lost if the Pod is replaced.
  • With local-store, data.enabled: true creates a data PVC. false uses emptyDir, so stored data is lost if the Pod is replaced.
  • If local-store data is disabled, staging must also be disabled. The chart rejects persistent staging with temporary local data.
  • With S3, GCS, or Azure Blob Storage, permanent data is stored in the object store. The chart does not create or mount a data volume.
  • Choose between PVC and emptyDir during installation. Changing that choice later requires recreating the StatefulSet.
  • Kubernetes rejects changing a volume claim template's size on an existing StatefulSet. If the StorageClass supports volume expansion, resize the generated PVC directly.

Upgrading to chart 3.1.0 or later

New installations are not affected. If standalone Parseable was installed with chart 3.0.2 or earlier, do not upgrade it directly. Create a separate installation with chart 3.1.0 or later, migrate and verify the data, and then switch traffic to the new installation.

6. Install Parseable

helm upgrade --install parseable parseable/parseable \
  --namespace parseable \
  --values ./standalone-values.yaml \
  --wait \
  --timeout 10m

7. Verify the installation

helm status parseable --namespace parseable
kubectl get pods,pvc,services,statefulsets --namespace parseable

The Parseable pod should be Running, and every created PVC should be Bound. With the release name parseable, a standalone local-store install with both staging and data persistence enabled creates two PVCs:

  • stage-volume-parseable-standalone-0
  • data-volume-parseable-standalone-0

8. Access Parseable

kubectl port-forward service/parseable-standalone-service 8000:80 --namespace parseable

Open http://localhost:8000 and sign in with the username and password stored in parseable-env-secret.

9. Troubleshooting

kubectl get events --namespace parseable --sort-by=.lastTimestamp
kubectl describe pod --namespace parseable -l app.kubernetes.io/instance=parseable
kubectl logs statefulset/parseable-standalone --namespace parseable --tail=200
  • Pending PVCs usually indicate an invalid storage class or unavailable volume provisioner.
  • CreateContainerConfigError usually indicates a missing Secret or Secret key.
  • Object-store authentication errors usually indicate incorrect credentials, permissions, endpoint, bucket, or container values.
  • Use an empty bucket or container for a new Parseable installation.

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