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Version: 3.1.0-Beta 🚧

Kubernetes (EKS)

Follow the steps below to deploy ToolJet on an EKS Kubernetes cluster.

info

You should set up a PostgreSQL database manually to be used by ToolJet. We recommend using an RDS PostgreSQL database. You can find the system requirements here

  1. Create an EKS cluster and connect to it to start with the deployment. You can follow the steps as mentioned in the AWS documentation.

  2. Create a k8s Deployment:

The file below is just a template and might not suit production environments. You should download the file and configure parameters such as the replica count and environment variables according to your needs.

kubectl apply -f https://tooljet-deployments.s3.us-west-1.amazonaws.com/pre-release/kubernetes/deployment.yaml

Make sure to edit the environment variables in the deployment.yaml. We advise using secrets to set up sensitive information. You can check out the available options here.

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For the setup, ToolJet requires:

    • TOOLJET_DB
    • TOOLJET_DB_HOST
    • TOOLJET_DB_USER
    • TOOLJET_DB_PASS
    • PG_HOST
    • PG_DB
    • PG_USER
    • PG_PASS
    • SECRET_KEY_BASE
    • LOCKBOX_KEY

Read environment variables reference

  1. Create a Kubernetes service to publish the Kubernetes deployment that you have created. We have a template for exposing the ToolJet server as a service using an AWS Load Balancer.

Example:

ToolJet Database

To use ToolJet Database, you'd have to set up and deploy a PostgREST server, which helps in querying the ToolJet Database. Please follow the instructions here.

  1. Set up PostgREST server
kubectl apply -f https://raw.githubusercontent.com/ToolJet/ToolJet/main/deploy/kubernetes/postgrest.yaml

Update ToolJet deployment with the appropriate env variables here and apply the changes.

Workflows

ToolJet Workflows allows users to design and execute complex, data-centric automations using a visual, node-based interface. This feature enhances ToolJet's functionality beyond building secure internal tools, enabling developers to automate complex business processes.

Create workflow deployment:

kubectl apply -f https://tooljet-deployments.s3.us-west-1.amazonaws.com/pre-release/kubernetes/workflow-deployment.yaml

Note: Ensure that the worker deployment uses the same image as the ToolJet application deployment to maintain compatibility. Additionally, the variables below need to be a part of tooljet-deployment.

ENABLE_WORKFLOW_SCHEDULING=true TOOLJET_WORKFLOWS_TEMPORAL_NAMESPACE=default TEMPORAL_SERVER_ADDRESS=<Temporal_Server_Address>

Upgrading to the Latest LTS Version

New LTS versions are released every 3-5 months with an end-of-life of at least 18 months. To check the latest LTS version, visit the ToolJet Docker Hub page. The LTS tags follow a naming convention with the prefix LTS- followed by the version number, for example tooljet/tooljet:ee-lts-latest.

If this is a new installation of the application, you may start directly with the latest version. This guide is not required for new installations.

Prerequisites for Upgrading to the Latest LTS Version:

  • It is crucial to perform a comprehensive backup of your database before starting the upgrade process to prevent data loss.

  • Users on versions earlier than v2.23.0-ee2.10.2 must first upgrade to this version before proceeding to the LTS version.

If you have any questions feel free to join our Slack Community or send us an email at [email protected].