bramw_baserow/deploy/helm/baserow

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

postgresql:
  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

Autoscaling configuration

For each Baserow component, a HorizontalPodAutoscaler can be configured individually. The following example enables autoscaling on the wsgi backend deployment.

baserow-backend-wsgi:
  autoscaling:
    enabled: true
    minReplicas: 2
    maxReplicas: 10 
    targetCPUUtilizationPercentage: 80
    targetMemoryUtilizationPercentage: 80

      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	1.29.2
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-asgi.autoscaling.enabled	Enable autoscaling	false
baserow-backend-asgi.autoscaling.minReplicas	Minimum number of replicas	2
baserow-backend-asgi.autoscaling.maxReplicas	Maximum number of replicas	10
baserow-backend-asgi.autoscaling.targetCPUUtilizationPercentage	Target CPU utilization percentage for autoscaling	80
baserow-backend-asgi.autoscaling.targetMemoryUtilizationPercentage	Target memory utilization percentage for autoscaling	80

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-backend-wsgi.autoscaling.enabled	Enable autoscaling	false
baserow-backend-wsgi.autoscaling.minReplicas	Minimum number of replicas	2
baserow-backend-wsgi.autoscaling.maxReplicas	Maximum number of replicas	10
baserow-backend-wsgi.autoscaling.targetCPUUtilizationPercentage	Target CPU utilization percentage for autoscaling	80
baserow-backend-wsgi.autoscaling.targetMemoryUtilizationPercentage	Target memory utilization percentage for autoscaling	80

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-frontend.autoscaling.enabled	Enable autoscaling	false
baserow-frontend.autoscaling.minReplicas	Minimum number of replicas	2
baserow-frontend.autoscaling.maxReplicas	Maximum number of replicas	10
baserow-frontend.autoscaling.targetCPUUtilizationPercentage	Target CPU utilization percentage for autoscaling	80
baserow-frontend.autoscaling.targetMemoryUtilizationPercentage	Target memory utilization percentage for autoscaling	80

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.replicaCount	Number of replicas for the Celery beat worker.	1
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.replicaCount	Number of replicas for the Celery export worker.	1
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.replicaCount	Number of replicas for the Celery worker.	1
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"]
baserow-celery-flower.replicaCount	Number of replicas for the Celery Flower monitoring tool.	1

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	{}