Configure your InfluxDB cluster using Helm
Manage your InfluxDB Clustered deployments using Kubernetes and apply configuration settings using a YAML configuration file.
The InfluxDB Clustered Helm chart
provides an alternative method for deploying your InfluxDB cluster using
Helm. It acts as a wrapper for the InfluxDB AppInstance
resource. When using Helm, apply configuration options in a
a values.yaml
on your local machine.
InfluxData provides the following items:
influxdb-docker-config.json
: an authenticated Docker configuration file. The InfluxDB Clustered software is in a secure container registry. This file grants access to the collection of container images required to install InfluxDB Clustered.
Configuration data
When ready to install InfluxDB, have the following information available:
- InfluxDB cluster hostname: the hostname Kubernetes uses to expose InfluxDB API endpoints
- PostgreSQL-style data source name (DSN): used to access your PostgreSQL-compatible database that stores the InfluxDB Catalog.
- Object store credentials (AWS S3 or S3-compatible)
- Endpoint URL
- Access key
- Bucket name
- Region (required for S3, may not be required for other object stores)
- Local storage information (for ingester pods)
- Storage class
- Storage size
- OAuth2 provider credentials
- Client ID
- JWKS endpoint
- Device authorization endpoint
- Token endpoint
InfluxDB is deployed to a Kubernetes namespace which, throughout the following
installation procedure, is referred to as the target namespace.
For simplicity, we assume this namespace is influxdb
, however
you may use any name you like.
AppInstance resource
The InfluxDB installation, update, and upgrade processes are driven by editing
and applying a Kubernetes custom resource (CRD)
called AppInstance
.
The AppInstance
CRD is included in the InfluxDB Clustered Helm chart and can
be configured by applying custom settings in the values.yaml
included in the
chart.
The AppInstance
resource contains key information, such as:
- Name of the target namespace
- Version of the InfluxDB package
- Reference to the InfluxDB container registry pull secrets
- Hostname where the InfluxDB API is exposed
- Parameters to connect to external prerequisites
Kubit operator
The InfluxDB Clustered Helm chart also includes the
kubecfg kubit
operator (maintained by InfluxData)
which simplifies the installation and management of the InfluxDB Clustered package.
It manages the application of the jsonnet templates used to install, manage, and
update an InfluxDB cluster.
Configure your cluster
- Install Helm
- Create a values.yaml file
- Create a namespace for InfluxDB
- Configure access to the InfluxDB container registry
- Set up cluster ingress
- Modify the configuration file to point to prerequisites
- Provide a custom certificate authority bundle (Optional)
Install Helm
If you haven’t already, install Helm on your local machine.
Create a values.yaml file
Download or copy the base values.yaml
for the InfluxDB Clustered Helm chart
from GitHub and store it locally. For example–if using cURL:
curl -O https://raw.githubusercontent.com/influxdata/helm-charts/master/charts/influxdb3-clustered/values.yaml
Or you can copy the default values.yaml
from GitHub:
Create a namespace for InfluxDB
Create a namespace for InfluxDB. For example, using kubectl
:
kubectl create namespace influxdb
If you use a namespace name other than influxdb
, update the namespaceOverride
field in your values.yaml
to use your custom namespace name.
Configure access to the InfluxDB container registry
The provided influxdb-docker-config.json
grants access to a collection of
container images required to run InfluxDB Clustered.
Your Kubernetes Cluster needs access to the container registry to pull down and
install InfluxDB.
When pulling images, there are two main scenarios:
- You have a Kubernetes cluster that can pull from the InfluxData container registry.
- You run in an environment with no network interfaces (“air-gapped”) and you can only access a private container registry.
In both scenarios, you need a valid container registry secret file. Use crane to create a container registry secret file.
- Install crane
- Use the following command to create a container registry secret file and retrieve the necessary secrets:
mkdir /tmp/influxdbsecret
cp influxdb-docker-config.json /tmp/influxdbsecret/config.json
DOCKER_CONFIG=/tmp/influxdbsecret \
crane manifest \
us-docker.pkg.dev/influxdb2-artifacts/clustered/influxdb:PACKAGE_VERSION
Replace PACKAGE_VERSION
with your InfluxDB Clustered package version.
If your Docker configuration is valid and you’re able to connect to the container registry, the command succeeds and the output is the JSON manifest for the Docker image, similar to the following:
If there’s a problem with the Docker configuration, crane won’t retrieve the manifest and the output is similar to the following error:
Error: fetching manifest us-docker.pkg.dev/influxdb2-artifacts/clustered/influxdb:<package-version>: GET https://us-docker.pkg.dev/v2/token?scope=repository%3Ainfluxdb2-artifacts%2Fclustered%2Finfluxdb%3Apull&service=: DENIED: Permission "artifactregistry.repositories.downloadArtifacts" denied on resource "projects/influxdb2-artifacts/locations/us/repositories/clustered" (or it may not exist)
Public registry (non-air-gapped)
To pull from the InfluxData registry, you need to create a Kubernetes secret in the target namespace.
kubectl create secret docker-registry gar-docker-secret \
--from-file=.dockerconfigjson=influxdb-docker-config.json \
--namespace influxdb
If successful, the output is the following:
secret/gar-docker-secret created
By default, this secret is named gar-docker-secret
.
If you change the name of this secret, you must also change the value of the
imagePullSecrets.name
field in your values.yaml
.
Private registry (air-gapped)
If your Kubernetes cluster can’t use a public network to download container images from our container registry, do the following:
- Copy the images from the InfluxDB registry to your own private registry.
- Configure your
AppInstance
resource with a reference to your private registry name. - Provide credentials to your private registry.
The list of images that you need to copy is included in the package metadata. You can obtain it with any standard OCI image inspection tool. For example:
DOCKER_CONFIG=/tmp/influxdbsecret \
crane config \
us-docker.pkg.dev/influxdb2-artifacts/clustered/influxdb:PACKAGE_VERSION \
| jq -r '.metadata["oci.image.list"].images[]' \
> /tmp/images.txt
The output is a list of image names, similar to the following:
us-docker.pkg.dev/influxdb2-artifacts/idpe/idpe-cd-ioxauth@sha256:5f015a7f28a816df706b66d59cb9d6f087d24614f485610619f0e3a808a73864
us-docker.pkg.dev/influxdb2-artifacts/iox/iox@sha256:b59d80add235f29b806badf7410239a3176bc77cf2dc335a1b07ab68615b870c
...
Use crane
to copy the images to your private registry:
</tmp/images.txt xargs -I% crane cp % REGISTRY_HOSTNAME/%
Replace REGISTRY_HOSTNAME
with the hostname of your private registry–for example:
myregistry.mydomain.io
Set the
images.registryOverride
field in your values.yaml
to the location of your
private registry–for example:
images:
registryOverride: REGISTRY_HOSTNAME
Set up cluster ingress
InfluxDB Clustered components use gRPC/HTTP2 protocols. If using an external load balancer, you may need to explicitly enable these protocols on your load balancers.
The InfluxDB Clustered Helm chart includes the Kubernetes Nginx Ingress Controller. Add a valid TLS Certificate to the cluster as a secret. Provide the paths to the TLS certificate file and key file:
kubectl create secret tls ingress-tls \
--namespace influxdb \
--cert TLS_CERT_PATH \
--key TLS_KEY_PATH
Replace the following:
TLS_CERT_PATH
: Path to the certificate file on your local machine.TLS_KEY_PATH
: Path to the certificate secret key file on your local machine.
Provide the TLS certificate secret to the InfluxDB configuration in the Configure ingress step.
Modify the configuration file to point to prerequisites
Update your values.yaml
file with credentials necessary to connect your
cluster to your prerequisites.
- Configure ingress
- Configure the object store
- Configure the catalog database
- Configure local storage for ingesters
- Configure your OAuth2 provider
- Configure the size of your cluster
Configure ingress
To configure ingress, provide values for the following fields in your
values.yaml
:
ingress.hosts
: Cluster hostnamesProvide the hostnames that Kubernetes should use to expose the InfluxDB API endpoints–for example:
cluster-host.com
.You can provide multiple hostnames. The ingress layer accepts incoming requests for all listed hostnames. This can be useful if you want to have distinct paths for your internal and external traffic.
You are responsible for configuring and managing DNS. Options include:
- Manually managing DNS records
- Using external-dns to synchronize exposed Kubernetes services and ingresses with DNS providers.
ingress.tlsSecretName
: TLS certificate secret nameProvide the name of the secret that contains your TLS certificate and key. The examples in this guide use the name
ingress-tls
.The
tlsSecretName
field is optional. You may want to use it if you already have a TLS certificate for your DNS name.
ingress:
hosts:
- cluster-host.com
tlsSecretName: ingress-tls
Configure the object store
To connect your InfluxDB cluster to your object store. The information required to connect to your object store depends on your object storage provider.
If using Amazon S3 or an S3-compatible object store, provide values for the
following fields in your values.yaml
:
objectStore
bucket
: Object storage bucket names3
:endpoint
: Object storage endpoint URLallowHttp
: Set totrue
to allow unencrypted HTTP connectionsaccessKey.value
: Object storage access key (can use avalue
literal orvalueFrom
to retrieve the value from a secret)secretKey.value
: Object storage secret key (can use avalue
literal orvalueFrom
to retrieve the value from a secret)region
: Object storage region
objectStore:
# Bucket that the Parquet files will be stored in
bucket: S3_BUCKET_NAME
s3:
# URL for S3 Compatible object store
endpoint: S3_URL
# Set to true to allow communication over HTTP (instead of HTTPS)
allowHttp: 'false'
# S3 Access Key
# This can also be provided as a valueFrom: secretKeyRef:
accessKey:
value: S3_ACCESS_KEY
# S3 Secret Key
# This can also be provided as a valueFrom: secretKeyRef:
secretKey:
value: S3_SECRET_KEY
# This value is required for AWS S3, it may or may not be required for other providers.
region: S3_REGION
Replace the following:
S3_BUCKET_NAME
: Object storage bucket nameS3_URL
: Object storage endpoint URLS3_ACCESS_KEY
: Object storage access keyS3_SECRET_KEY
: Object storage secret keyS3_REGION
: Object storage region
If using Azure Blob Storage as your object store, provide values for the
following fields in your values.yaml
:
objectStore
bucket
: Azure Blob Storage bucket nameazure
:accessKey.value
: Azure Blob Storage access key (can use avalue
literal orvalueFrom
to retrieve the value from a secret)account.value
: Azure Blob Storage account ID (can use avalue
literal orvalueFrom
to retrieve the value from a secret)
objectStore:
# Bucket that the Parquet files will be stored in
bucket: AZURE_BUCKET_NAME
azure:
# Azure Blob Storage Access Key
# This can also be provided as a valueFrom:
accessKey:
value: AZURE_ACCESS_KEY
# Azure Blob Storage Account
# This can also be provided as a valueFrom: secretKeyRef:
account:
value: AZURE_STORAGE_ACCOUNT
Replace the following:
AZURE_BUCKET_NAME
: Object storage bucket nameAZURE_ACCESS_KEY
: Azure Blob Storage access keyAZURE_STORAGE_ACCOUNT
: Azure Blob Storage account ID
If using Google Cloud Storage as your object store, provide values for the
following fields in your values.yaml
:
objectStore
bucket
: Google Cloud Storage bucket namegoogle
:serviceAccountSecret.name
: the Kubernetes Secret name that contains your Google IAM service account credentialsserviceAccountSecret.key
: the key inside of your Google IAM secret that contains your Google IAM account credentials
objectStore:
# Bucket that the Parquet files will be stored in
bucket: GOOGLE_BUCKET_NAME
google:
# This section is not needed if you are using GKE Workload Identity.
# It is only required to use explicit service account secrets (JSON files)
serviceAccountSecret:
# Kubernetes Secret name containing the credentials for a Google IAM
# Service Account.
name: GOOGLE_IAM_SECRET
# The key within the Secret containing the credentials.
key: GOOGLE_CREDENTIALS_KEY
Replace the following:
GOOGLE_BUCKET_NAME
: Google Cloud Storage bucket nameGOOGLE_IAM_SECRET
: the Kubernetes Secret name that contains your Google IAM service account credentialsGOOGLE_CREDENTIALS_KEY
: the key inside of your Google IAM secret that contains your Google IAM account credentials
Configure the catalog database
The InfluxDB catalog is a PostgreSQL-compatible relational database that stores
metadata about your time series data.
To connect your InfluxDB cluster to your PostgreSQL-compatible database,
provide values for the following fields in your values.yaml
:
We recommend storing sensitive credentials, such as your PostgreSQL-compatible DSN, as secrets in your Kubernetes cluster.
catalog.dsn
SecretName
: Secret nameSecretKey
: Key in the secret that contains the DSN
catalog:
# Secret name and key within the secret containing the dsn string to connect
# to the catalog
dsn:
# Kubernetes Secret name containing the dsn for the catalog.
SecretName: SECRET_NAME
# The key within the Secret containing the dsn.
SecretKey: SECRET_KEY
Replace the following:
SECRET_NAME
: Name of the secret containing your PostgreSQL-compatible DSNSECRET_KEY
: Key in the secret that references your PostgreSQL-compatible DSN
PostgreSQL instances without TLS or SSL
If your PostgreSQL-compatible instance runs without TLS or SSL, you must include
the sslmode=disable
parameter in the DSN. For example:
postgres://username:passw0rd@mydomain:5432/influxdb?sslmode=disable
Configure local storage for ingesters
InfluxDB ingesters require local storage to store the Write Ahead Log (WAL) for
incoming data.
To connect your InfluxDB cluster to local storage, provide values for the
following fields in your values.yaml
:
ingesterStorage
storageClassName
: Kubernetes storage class. This differs based on the Kubernetes environment and desired storage characteristics.storage
: Storage size. We recommend a minimum of 2 gibibytes (2Gi
).
ingesterStorage:
# (Optional) Set the storage class. This will differ based on the K8s
# environment and desired storage characteristics.
# If not set, the default storage class will be used.
storageClassName: STORAGE_CLASS
# Set the storage size (minimum 2Gi recommended)
storage: STORAGE_SIZE
Replace the following:
STORAGE_CLASS
: Kubernetes storage classSTORAGE_SIZE
: Storage size (example:2Gi
)
Configure your OAuth2 provider
InfluxDB Clustered uses OAuth2 to authenticate administrative access to your cluster.
To connect your InfluxDB cluster to your OAuth2 provide, provide values for the
following fields in your values.yaml
:
admin
identityProvider
: Identity provider name. If using Microsoft Entra ID (formerly Azure Active Directory), set the name toazure
.jwksEndpoint
: JWKS endpoint provide by your identity provider.users
: List of OAuth2 users to grant administrative access to your InfluxDB cluster. IDs are provided by your identity provider.
Below are examples for Keycloak, Auth0, and Microsoft Entra ID, but other OAuth2 providers should work as well:
admin:
# The identity provider to be used e.g. "keycloak", "auth0", "azure", etc
# Note for Azure Active Directory it must be exactly "azure"
identityProvider: keycloak
# The JWKS endpoint provided by the Identity Provider
jwksEndpoint: |-
https://KEYCLOAK_HOST/auth/realms/KEYCLOAK_REALM/protocol/openid-connect/certs
# The list of users to grant access to Clustered via influxctl
users:
# All fields are required but `firstName`, `lastName`, and `email` can be
# arbitrary values. However, `id` must match the user ID provided by Keycloak.
- id: KEYCLOAK_USER_ID
firstName: Marty
lastName: McFly
email: mcfly@influxdata.com
Replace the following:
KEYCLOAK_HOST
: Host and port of your Keycloak serverKEYCLOAK_REALM
: Keycloak realmKEYCLOAK_USER_ID
: Keycloak user ID to grant InfluxDB administrative access to
admin:
# The identity provider to be used e.g. "keycloak", "auth0", "azure", etc
# Note for Azure Active Directory it must be exactly "azure"
identityProvider: auth0
# The JWKS endpoint provided by the Identity Provider
jwksEndpoint: |-
https://AUTH0_HOST/.well-known/openid-configuration
# The list of users to grant access to Clustered via influxctl
users:
- AUTH0_USER_ID
Replace the following:
AUTH0_HOST
: Host and port of your Auth0 serverAUTH0_USER_ID
: Auth0 user ID to grant InfluxDB administrative access to
admin:
# The identity provider to be used e.g. "keycloak", "auth0", "azure", etc
# Note for Azure Active Directory it must be exactly "azure"
identityProvider: azure
# The JWKS endpoint provided by the Identity Provider
jwksEndpoint: |-
https://login.microsoftonline.com/AZURE_TENANT_ID/discovery/v2.0/keys
# The list of users to grant access to Clustered via influxctl
users:
- AZURE_USER_ID
Replace the following:
AZURE_TENANT_ID
: Microsoft Entra tenant IDAZURE_USER_ID
: Microsoft Entra user ID to grant InfluxDB administrative access to (See Find user IDs with Microsoft Entra ID)
Add users
Finally, add the users you wish to have access to use influxctl
.
Update the admin.users
field with a list of the users.
See Manage users for more details.
Configure the size of your cluster
By default, an InfluxDB cluster is configured with the following:
- 3 ingesters:
Ensures redundancy on the write path. - 1 compactor:
While you can have multiple compactors, it is more efficient to scale the compactor vertically (assign more CPU and memory) rather than horizontally (increase the number of compactors). - 1 querier:
The optimal number of queriers depends on the number of concurrent queries you are likely to have and how long they take to execute.
The default values provide a good starting point for testing. Once you have your cluster up and running and are looking for scaling recommendations, please contact the InfluxData Support team. We are happy to work with you to identify appropriate scale settings based on your anticipated workload.
To use custom scale settings for your InfluxDB cluster, modify the following fields in your values.yaml`. If omitted, your cluster will use the default scale settings.
resources
ingester.requests
cpu
: CPU resource units to assign to ingestersmemory
: Memory resource units to assign to ingestersreplicas
: Number of ingester replicas to provision
compactor.requests
cpu
: CPU resource units to assign to compactorsmemory
: Memory resource units to assign to compactorsreplicas
: Number of compactor replicas to provision
querier.requests
cpu
: CPU resource units to assign to queriersmemory
: Memory resource units to assign to queriersreplicas
: Number of querier replicas to provision
router.requests
cpu
: CPU resource units to assign to routersmemory
: Memory resource units to assign to routersreplicas
: Number of router replicas to provision
Related Kubernetes documentation
# The following settings tune the various pods for their cpu/memory/replicas
# based on workload needs. Only uncomment the specific resources you want
# to change. Anything left commented will use the package default.
resources:
# The ingester handles data being written
ingester:
requests:
cpu: INGESTER_CPU
memory: INGESTER_MEMORY
replicas: INGESTER_REPLICAS # Default is 3
# The compactor reorganizes old data to improve query and storage efficiency.
compactor:
requests:
cpu: COMPACTOR_CPU
memory: COMPACTOR_MEMORY
replicas: COMPACTOR_REPLICAS # Default is 1
# The querier handles querying data.
querier:
requests:
cpu: QUERIER_CPU
memory: QUERIER_MEMORY
replicas: QUERIER_REPLICAS # Default is 1
# The router performs some api routing.
router:
requests:
cpu: ROUTER_CPU
memory: ROUTER_MEMORY
replicas: ROUTER_REPLICAS # Default is 1
Provide a custom certificate authority bundle
InfluxDB attempts to make TLS connections to the services it depends on; notably the Catalog, and the Object store. InfluxDB validates the certificates for all of the connections it makes.
If you host these services yourself and you use a private or otherwise not well-known certificate authority to issue certificates to theses services, InfluxDB will not recognize the issuer and will be unable to validate the certificates. To allow InfluxDB to validate these certificates, provide a PEM certificate bundle containing your custom certificate authority chain.
Use
kubectl
to create a config map containing your PEM bundle. Your certificate authority administrator should provide you with a PEM-formatted certificate bundle file.This PEM-formatted bundle file is not the certificate that InfluxDB uses to host its own TLS endpoints. This bundle establishes a chain of trust for the external services that InfluxDB depends on.
In the example below,
private_ca.pem
is the certificate bundle file.kubectl --namespace influxdb create configmap custom-ca --from-file=certs.pem=/path/to/private_ca.pem
It’s possible to append multiple certificates into the same bundle. This can help if you need to include intermediate certificates or explicitly include leaf certificates. Leaf certificates should be included before any intermediate certificates they depend on. The root certificate should be last in the bundle.
Update your
values.yaml
to enable custom egress and refer to your certificate authority config map. SetuseCustomEgress
totrue
and update theegress
property to refer to that config map. For example:useCustomEgress: true egress: # # If you're using a custom CA you will need to specify the full custom CA bundle here. # # # # NOTE: the custom CA is currently only honoured for outbound requests used to obtain # # the JWT public keys from your identiy provider (see `jwksEndpoint`). customCertificates: valueFrom: configMapKeyRef: key: ca.pem name: custom-ca
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Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, use the following resources:
Customers with an annual or support contract can contact InfluxData Support.