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Baserow Helm Chart

Baserow is an open-source no-code database tool and Airtable alternative. It is a modern database tool that allows you to create a database, web-based application, and API without code. It is built on top of Django and Vue.js and is designed to be easily deployed to a platform like Kubernetes.

This chart can have dependencies on other charts, such as PostgreSQL, Redis, Minio, and Caddy. The chart can be configured to use an existing instance of these services or deploy them as part of the Baserow deployment.

Installing the Chart

To install the chart with the release name my-baserow run the following commands:

From repo

helm repo add baserow-chart https://baserow.gitlab.io/baserow-chart
helm install my-baserow baserow-chart/baserow --namespace baserow --create-namespace --values config.yaml

From source code

helm dependency update
helm install my-baserow . --namespace baserow --create-namespace
helm upgrade my-baserow . --namespace baserow

Minimal configuration

Make the following changes to the values file to deploy the Baserow application with the default configuration.

global:
  baserow:
    domain: "your-baserow-domain.com"
    backendDomain: "api.your-baserow-domain.com"
    objectsDomain: "objects.your-baserow-domain.com"

Using existing Postgres and Redis

You can use the following configuration to use an existing Postgres database and Redis cluster.

redis:
  enabled: false

postgres:
  enabled: false

Add the following configuration to the backendSecrets to use an existing managed database and Redis cluster.

backendSecrets:
  DATABASE_HOST: "my-baserow-baserow-backend-postgresql"
  DATABASE_PORT: "5432"
  DATABASE_NAME: "baserow"
  DATABASE_USER: "baserow"
  DATABASE_PASSWORD: "password"
  REDIS_HOST: "my-baserow-baserow-backend-redis"
  REDIS_PORT: "6379"
  REDIS_PASSWORD: "password"

Caddy Ingress Configuration

Caddy is a web server that can be used as an ingress controller. When using Caddy, set the ingress configuration to use Caddy as the ingress controller. Make note of the onDemandAsk configuration, which is used to trigger on-demand TLS certificates. Pointed here to the health check endpoint of caddy itself to always create new certificates. On production workloads set it to the backend api endpoint to check if the domain exists in the database.

caddy:
  enabled: true
  ingressController:
    className: caddy
    config:
      email: "my@email.com"
      proxyProtocol: true
      experimentalSmartSort: false
      onDemandTLS: true
      onDemandAsk: http://:9765/healthz
      onDemandAsk: "http://my-baserow-baserow-backend-wsgi/api/builder/domains/ask-public-domain-exists/"

Different Cloud Providers

On different cloud providers, you may need to configure the Object storage, ingress and Load Balancer differently. Below are some examples of how to configure them.

AWS

S3 Config

When deploying to AWS, you can use the following configuration to use S3 for object storage. Make sure to disable minio as it is not needed.

minio:
  enabled: false

backendConfigMap:
  AWS_STORAGE_BUCKET_NAME: "my-baserow-baserow-backend-bucket"
  AWS_S3_CUSTOM_DOMAIN: "my-baserow-baserow-backend-bucket"
  AWS_S3_REGION_NAME: "us-east-1"
  AWS_S3_ENDPOINT_URL: "https://s3.us-east-1.amazonaws.com/my-baserow-baserow-backend-bucket"

AWS Authentication

AWS authentication can be set by service account or environment variables. Below is an example of setting the AWS credentials using the environment variables.

backendSecrets:
  AWS_ACCESS_KEY_ID: "my-access-key"
  AWS_SECRET_ACCESS_KEY: "my-secret-key"

When running on EKS you can also use a service account with an IAM role and permissions. For the service account, you can use the following configuration. To create the corresponding IAM role, refer to the AWS documentation. https://docs.aws.amazon.com/eks/latest/userguide/iam-roles-for-service-accounts.html

global:
  baserow:
    serviceAccount:
      shared: true
      create: true
      name: baserow
      annotations: {}

Ingress

When deploying to AWS, you can use the following configuration to create a Network Load Balancer. For more information about the annotations, refer to the AWS documentation. https://docs.aws.amazon.com/eks/latest/userguide/network-load-balancing.html

ingress:
  enabled: true

caddy:
  enabled: true
  ingressController:
    className: caddy
    config:
      email: "my@email.com"
      proxyProtocol: true
      experimentalSmartSort: false
      onDemandTLS: true
      onDemandAsk: http://:9765/healthz
  loadBalancer:
    externalTrafficPolicy: "Local"
    annotations:
      service.beta.kubernetes.io/aws-load-balancer-proxy-protocol: "*"
      service.beta.kubernetes.io/aws-load-balancer-scheme: "internet-facing"
      service.beta.kubernetes.io/aws-load-balancer-nlb-target-type: "ip"
      service.beta.kubernetes.io/aws-load-balancer-healthcheck-protocol: "TCP"
      service.beta.kubernetes.io/aws-load-balancer-alpn-policy: "HTTP2Preferred"

Digital ocean

Ingress

When deploying to Digital Ocean, you can use the following configuration to create a Load Balancer. For more information about the annotations, refer to the Digital Ocean documentation. https://docs.digitalocean.com/products/kubernetes/how-to/add-load-balancers/

ingress:
  enabled: true

caddy:
  enabled: true
  ingressController:
    config:
      email: "my@email.com"
      proxyProtocol: true
      experimentalSmartSort: false
      onDemandTLS: true
      onDemandRateLimitInterval: "2m"
      onDemandRateLimitBurst: 5
      onDemandAsk: http://:9765/healthz
  loadBalancer:
    externalTrafficPolicy: "Local"
    annotations:
      service.beta.kubernetes.io/do-loadbalancer-protocol: "http"
      service.beta.kubernetes.io/do-loadbalancer-algorithm: "round_robin"
      service.beta.kubernetes.io/do-loadbalancer-tls-ports: "443"
      service.beta.kubernetes.io/do-loadbalancer-tls-passthrough: "true"
      service.beta.kubernetes.io/do-loadbalancer-redirect-http-to-https: "true"
      service.beta.kubernetes.io/do-loadbalancer-enable-proxy-protocol: "true"

Parameters

Global parameters

Name Description Value
global.baserow.imageRegistry Global Docker image registry baserow
global.baserow.imagePullSecrets Global Docker registry secret names as an array []
global.baserow.image.tag Global Docker image tag 1.27.2
global.baserow.serviceAccount.shared Set to true to share the service account between all application components. true
global.baserow.serviceAccount.create Set to true to create a service account to share between all application components. true
global.baserow.serviceAccount.name Configure a name for service account to share between all application components. baserow
global.baserow.serviceAccount.annotations Configure annotations for the shared service account. {}
global.baserow.serviceAccount.automountServiceAccountToken Automount the service account token to the pods. false
global.baserow.backendConfigMap Configure a name for the backend configmap. backend-config
global.baserow.backendSecret Configure a name for the backend secret. backend-secret
global.baserow.frontendConfigMap Configure a name for the frontend configmap. frontend-config
global.baserow.sharedConfigMap Configure a name for the shared configmap. shared-config
global.baserow.envFrom Configure secrets or configMaps to be used as environment variables for all components. []
global.baserow.domain Configure the domain for the frontend application. cluster.local
global.baserow.backendDomain Configure the domain for the backend application. api.cluster.local
global.baserow.objectsDomain Configure the domain for the external facing minio api. objects.cluster.local

Baserow Configuration

Name Description Value
generateJwtSecret Generate a new JWT secret true

Shared ConfigMap Configuration

Name Description Value
sharedConfigMap Additional configuration for the shared ConfigMap, key value map. {}

Frontend ConfigMap Configuration

Name Description Value
frontendConfigMap.DOWNLOAD_FILE_VIA_XHR Set to "1" to download files via XHR 1

backend Secrets Configuration

Name Description Value
backendSecrets Additional configuration for the backend Secrets, key value map. {}

backend ConfigMap Configuration

Name Description Value
backendConfigMap.DONT_UPDATE_FORMULAS_AFTER_MIGRATION Set to "yes" to disable updating formulas after migration yes
backendConfigMap.SYNC_TEMPLATES_ON_STARTUP Set to "false" to disable syncing templates on startup false
backendConfigMap.MIGRATE_ON_STARTUP Set to "false" to disable migration on startup false
backendConfigMap.BASEROW_TRIGGER_SYNC_TEMPLATES_AFTER_MIGRATION Set to "true" to trigger syncing templates after migration true

Migration Job Configuration

Name Description Value
migration.enabled Enabled the migration job true
migration.image.repository Migration job Docker image repository backend
migration.priorityClassName Kubernetes priority class name for the migration job ""
migration.nodeSelector Node labels for pod assignment {}
migration.tolerations Tolerations for pod assignment []
migration.affinity Affinity settings for pod assignment []
migration.extraEnv Extra environment variables for the migration job []
migration.envFrom ConfigMaps or Secrets to be used as environment variables []
migration.volumes Volumes for the migration job []
migration.volumeMounts Volume mounts for the migration job []

Baserow Backend ASGI Configuration

Name Description Value
baserow-backend-asgi.image.repository Docker image repository for the ASGI server. backend
baserow-backend-asgi.args Arguments passed to the ASGI server. ["gunicorn"]
baserow-backend-asgi.livenessProbe.exec.command The command used to check the liveness of the ASGI server. ["/bin/bash","-c","/baserow/backend/docker/docker-entrypoint.sh backend-healthcheck"]
baserow-backend-asgi.livenessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-backend-asgi.livenessProbe.initialDelaySeconds Delay before the liveness probe is initiated after the container starts. 120
baserow-backend-asgi.livenessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-backend-asgi.livenessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-backend-asgi.livenessProbe.timeoutSeconds Number of seconds after which the probe times out. 5
baserow-backend-asgi.readinessProbe.exec.command The command used to check the readiness of the ASGI server. ["/bin/bash","-c","/baserow/backend/docker/docker-entrypoint.sh backend-healthcheck"]
baserow-backend-asgi.readinessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-backend-asgi.readinessProbe.initialDelaySeconds Delay before the readiness probe is initiated after the container starts. 120
baserow-backend-asgi.readinessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-backend-asgi.readinessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-backend-asgi.readinessProbe.timeoutSeconds Number of seconds after which the probe times out. 5

Baserow Backend WSGI Configuration

Name Description Value
baserow-backend-wsgi.image.repository Docker image repository for the WSGI server. backend
baserow-backend-wsgi.args Arguments passed to the WSGI server. ["gunicorn-wsgi","--timeout","120"]
baserow-backend-wsgi.livenessProbe.exec.command The command used to check the liveness of the WSGI server. ["/bin/bash","-c","/baserow/backend/docker/docker-entrypoint.sh backend-healthcheck"]
baserow-backend-wsgi.livenessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-backend-wsgi.livenessProbe.initialDelaySeconds Delay before the liveness probe is initiated after the container starts. 120
baserow-backend-wsgi.livenessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-backend-wsgi.livenessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-backend-wsgi.livenessProbe.timeoutSeconds Number of seconds after which the probe times out. 5
baserow-backend-wsgi.readinessProbe.exec.command The command used to check the readiness of the wsgi server. ["/bin/bash","-c","/baserow/backend/docker/docker-entrypoint.sh backend-healthcheck"]
baserow-backend-wsgi.readinessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-backend-wsgi.readinessProbe.initialDelaySeconds Delay before the readiness probe is initiated after the container starts. 120
baserow-backend-wsgi.readinessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-backend-wsgi.readinessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-backend-wsgi.readinessProbe.timeoutSeconds Number of seconds after which the probe times out. 5

Baserow Web Frontend Configuration

Name Description Value
baserow-frontend.image.repository Docker image repository for the Web Frontend server. web-frontend
baserow-frontend.args Arguments passed to the Web Frontend server. ["nuxt"]
baserow-frontend.workingDir Working Directory for the container. ""
baserow-frontend.livenessProbe.httpGet.path The path to check for the liveness probe. /_health
baserow-frontend.livenessProbe.httpGet.port The port to check for the liveness probe. 3000
baserow-frontend.livenessProbe.httpGet.scheme The scheme to use for the liveness probe. HTTP
baserow-frontend.livenessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-frontend.livenessProbe.initialDelaySeconds Delay before the liveness probe is initiated after the container starts. 5
baserow-frontend.livenessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-frontend.livenessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-frontend.livenessProbe.timeoutSeconds Number of seconds after which the probe times out. 5
baserow-frontend.readinessProbe.httpGet.path The path to check for the readiness probe. /_health
baserow-frontend.readinessProbe.httpGet.port The port to check for the readiness probe. 3000
baserow-frontend.readinessProbe.httpGet.scheme The scheme to use for the readiness probe. HTTP
baserow-frontend.readinessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-frontend.readinessProbe.initialDelaySeconds Delay before the readiness probe is initiated after the container starts. 5
baserow-frontend.readinessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-frontend.readinessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-frontend.readinessProbe.timeoutSeconds Number of seconds after which the probe times out. 5
baserow-frontend.mountConfiguration.backend If enabled, all the backend service configurations and secrets will be mounted. false
baserow-frontend.mountConfiguration.frontend If enabled, all the frontend service configurations and secrets will be mounted. true
baserow-frontend.service.targetPort The port the Web Frontend server listens on. 3000

Baserow Celery beat Configuration

Name Description Value
baserow-celery-beat-worker.image.repository Docker image repository for the Celery beat worker. backend
baserow-celery-beat-worker.args Arguments passed to the Celery beat worker. ["celery-beat"]
baserow-celery-beat-worker.service.create Set to false to disable creating a service for the Celery beat worker. false

Baserow Celery export worker Configuration

Name Description Value
baserow-celery-export-worker.image.repository Docker image repository for the Celery export worker. backend
baserow-celery-export-worker.args Arguments passed to the Celery export worker. ["celery-exportworker"]
baserow-celery-export-worker.service.create Set to false to disable creating a service for the Celery beat worker. false

Baserow Celery worker Configuration

Name Description Value
baserow-celery-worker.image.repository Docker image repository for the Celery worker. backend
baserow-celery-worker.args Arguments passed to the Celery worker. ["celery-worker"]
baserow-celery-worker.service.create Set to false to disable creating a service for the Celery beat worker. false
baserow-celery-worker.livenessProbe.exec.command The command used to check the liveness of the WSGI server. ["/bin/bash","-c","/baserow/backend/docker/docker-entrypoint.sh celery-worker-healthcheck"]
baserow-celery-worker.livenessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-celery-worker.livenessProbe.initialDelaySeconds Delay before the liveness probe is initiated after the container starts. 10
baserow-celery-worker.livenessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-celery-worker.livenessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-celery-worker.livenessProbe.timeoutSeconds Number of seconds after which the probe times out. 10
baserow-celery-worker.readinessProbe.exec.command The command used to check the readiness of the wsgi server. ["/bin/bash","-c","/baserow/backend/docker/docker-entrypoint.sh celery-worker-healthcheck"]
baserow-celery-worker.readinessProbe.failureThreshold Number of times the probe can fail before the container is restarted. 3
baserow-celery-worker.readinessProbe.initialDelaySeconds Delay before the readiness probe is initiated after the container starts. 10
baserow-celery-worker.readinessProbe.periodSeconds How often (in seconds) to perform the probe. 30
baserow-celery-worker.readinessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
baserow-celery-worker.readinessProbe.timeoutSeconds Number of seconds after which the probe times out. 10

Baserow Celery Flower Configuration

Name Description Value
baserow-celery-flower.enabled Set to true to enable the Celery Flower monitoring tool. false
baserow-celery-flower.image.repository Docker image repository for the Celery Flower monitoring tool. backend
baserow-celery-flower.args Arguments passed to the Celery Flower monitoring tool. ["celery-flower"]

Ingress Configuration

Name Description Value
ingress.enabled Enable the Ingress resource true
ingress.annotations.kubernetes.io/ingress.class Ingress class annotation {"kubernetes.io/ingress.class":"caddy"}
ingress.tls TLS configuration for the Ingress resource []

Redis Configuration

Name Description Value
redis.enabled Enable the Redis database true
redis.architecture The Redis architecture standalone
redis.auth.enabled Enable Redis authentication true
redis.auth.password The password for the Redis database baserow
redis.auth.existingSecret The name of an existing secret containing the database password ""

PostgreSQL Configuration

Name Description Value
postgresql.enabled Enable the PostgreSQL database true
postgresql.auth.database The name of the database baserow
postgresql.auth.existingSecret The name of an existing secret containing the database password ""
postgresql.auth.password The password for the database baserow
postgresql.auth.username The username for the database baserow

Minio Configuration

Name Description Value
minio.enabled Enable the Minio object storage service true
minio.networkPolicy.enabled Enable the Minio network policy false
minio.disableWebUI Disable the Minio web UI true
minio.provisioning.enabled Enable the Minio provisioning service true
minio.provisioning.buckets[0].name Name of the bucket to create baserow
minio.provisioning.extraCommands List of extra commands to run after provisioning mc anonymous set download provisioning/baserow

Caddy Configuration

Name Description Value
caddy.enabled Enable the Caddy ingress controller true
caddy.ingressController.className Ingress class name which caddy will look for on ingress annotations. caddy
caddy.ingressController.config.email Email address to use for Let's Encrypt certificates my@email.com
caddy.ingressController.config.proxyProtocol Enable the PROXY protocol true
caddy.ingressController.config.experimentalSmartSort Enable experimental smart sorting false
caddy.ingressController.config.onDemandTLS Enable on-demand TLS true
caddy.ingressController.config.onDemandAsk URL to check for on-demand TLS http://:9765/healthz
caddy.loadBalancer.externalTrafficPolicy External traffic policy for the load balancer Local
caddy.loadBalancer.annotations Annotations for the load balancer {}