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Deploy lakeFS on Azure

Expected deployment time: 25min

Table of contents

  1. Prerequisites
  2. Creating the Database on Azure Database
  3. Installation Options
    1. On Azure VM
    2. On Azure Container instances
    3. On AKS
  4. Load balancing
  5. DNS
  6. Next Steps


A production-suitable lakeFS installation will require three DNS records pointing at your lakeFS server. A good convention for those will be, assuming you already own the domain

  • - this is the S3 Gateway Domain
  • *

The second record, the S3 Gateway Domain, needs to be specified in the lakeFS configuration (see the S3_GATEWAY_DOMAIN placeholder below). This will allow lakeFS to route requests to the S3-compatible API. For more info, see Why do I need these three DNS records?

Creating the Database on Azure Database

lakeFS requires a PostgreSQL database to synchronize actions on your repositories. We will show you how to create a database on Azure Database, but you can use any PostgreSQL database as long as it’s accessible by your lakeFS installation.

If you already have a database, take note of the connection string and skip to the next step

  1. Follow the official Azure documentation on how to create a PostgreSQL instance and connect to it. Make sure you’re using PostgreSQL version >= 11.
  2. Once your Azure Database for PostgreSQL server is set up and the server is in Available state, take note of the endpoint and username. Azure postgres Connection String
  3. Make sure your Access control roles allow you to connect to the database instance.

Installation Options

On Azure VM

  1. Save the following configuration file as config.yaml:

      connection_string: "[DATABASE_CONNECTION_STRING]"
        # replace this with a randomly-generated string:
        secret_key: "[ENCRYPTION_SECRET_KEY]"
      type: azure
        auth_method: msi # msi for active directory, access-key for access key 
          # In case you chose to authenticate via access key unmark the following rows and insert the values from the previous step 
          # storage_account: [your storage account]
          # storage_access_key: [your access key]
          # replace this with the host you will use for the lakeFS S3-compatible endpoint:
         domain_name: [S3_GATEWAY_DOMAIN]
  2. Download the binary to the Azure Virtual Machine.
  3. Run the lakefs binary on the machine:
    lakefs --config config.yaml run

    Note: it is preferable to run the binary as a service using systemd or your operating system’s facilities.

  4. To support Azure AD authentication go to Identity tab and switch Status toggle to on, then add the `Storage Blob Data Contributor’ role on the container you created.

On Azure Container instances

To support container-based environments like Azure Container Instances, lakeFS can be configured using environment variables. Here is a docker run command to demonstrate starting lakeFS using Docker:

docker run \
  --name lakefs \
  -p 8000:8000 \
  treeverse/lakefs:latest run

See the reference for a complete list of environment variables.


See Kubernetes Deployment.

Load balancing

Depending on how you chose to install lakeFS, you should have a load balancer direct requests to the lakeFS server.
By default, lakeFS operates on port 8000, and exposes a /_health endpoint which you can use for health checks.


As mentioned above, you should create 3 DNS records for lakeFS:

  1. One record for the lakeFS API:
  2. Two records for the S3-compatible API: and *

Depending on your DNS provider, refer to the documentation on how to add CNAME records.

Next Steps

Your next step is to prepare your storage. If you already have a storage bucket/container, you are ready to create your first lakeFS repository.

Why do I need the three DNS records?

Multiple DNS records are needed to access the two different lakeFS APIs (covered in more detail in the Architecture section):

  1. The lakeFS OpenAPI: used by the lakectl CLI tool. Exposes git-like operations (branching, diffing, merging etc.).
  2. An S3-compatible API: read and write your data in any tool that can communicate with S3. Examples include: AWS CLI, Boto, Presto and Spark.

lakeFS actually exposes only one API endpoint. For every request, lakeFS checks the Host header. If the header is under the S3 gateway domain, the request is directed to the S3-compatible API.

The third DNS record (* allows for virtual-host style access. This is a way for AWS clients to specify the bucket name in the Host subdomain.