Installing lakeFS

You are now ready to install the lakeFS server. Following are some options for doing that.

Table of contents

1. Kubernetes with Helm
   1. Configurations
2. Docker
3. Fargate and other container-based environments
4. AWS EC2

Kubernetes with Helm

lakeFS can be easily installed on Kubernetes using a Helm chart. To install lakeFS with Helm:

1. Create a conf-values.yaml file, replacing values as described in the comments:

   secrets:
     # replace this with the connection string of the database you created in a previous step:
     databaseConnectionString: postgres://postgres:myPassword@my-lakefs-db.rds.amazonaws.com:5432/lakefs?search_path=lakefs
     # replace this with a randomly-generated string
     authEncryptSecretKey: <some random string>
   lakefsConfig: |
     blockstore:
       type: s3
       s3:
         region: us-east-1
     gateways:
       s3:
         # replace this with the host you will use for the lakeFS S3-compatible endpoint:
         domain_name: s3.lakefs.example.com
   

   See below for more configuration options. The lakefsConfig parameter is the lakeFS configuration documented here, but without sensitive information. Sensitive information like databaseConnectionString is given through separate parameters, and the chart will inject them into Kubernetes secrets.

2. In the directory where you created conf-values.yaml, run the following commands:

    # Add the lakeFS repository
    helm repo add lakefs https://charts.lakefs.io
    # Deploy lakeFS
    helm install example-lakefs lakefs/lakefs -f conf-values.yaml
   

   example-lakefs is the Helm Release name.

You should give your Kubernetes nodes access to all S3 buckets you intend to use lakeFS with. If you can’t provide such access, lakeFS can be configured to use an AWS key-pair to authenticate (part of the lakefsConfig YAML below).

Configurations

Docker

To deploy using Docker, create a yaml configuration file. Here is a minimal example, but you can see the reference for the full list of configurations.

database:
  connection_string: "postgres://user:pass@<RDS_ENDPOINT>:5432/postgres"

auth:
  encrypt:
    secret_key: "<RANDOM_GENERATED_STRING>"

blockstore:
  type: s3

gateways:
  s3:
    domain_name: s3.lakefs.example.com

Depending on your runtime environment, running lakeFS using docker would look like this:

docker run \
  --name lakefs \
  -p 8000:8000 \
  -v <PATH_TO_CONFIG_FILE>:/home/lakefs/.lakefs.yaml \
  treeverse/lakefs:latest run

Fargate and other container-based environments

Some environments make it harder to use a configuration file, and are best configured using environment variables.

Here is an example of running lakeFS using environment variables. See the reference for the full list of configurations.

docker run \
  --name lakefs \
  -p 8000:8000 \
  -e LAKEFS_DATABASE_CONNECTION_STRING="postgres://user:pass@<RDS ENDPOINT>..." \
  -e LAKEFS_AUTH_ENCRYPT_SECRET_KEY="<RANDOM_GENERATED_STRING>" \
  -e LAKEFS_BLOCKSTORE_TYPE="s3" \
  -e LAKEFS_GATEWAYS_S3_DOMAIN_NAME="s3.lakefs.example.com" \
  treeverse/lakefs:latest run

AWS EC2

Alternatively, you can run lakeFS directly on an EC2 instance:

1. Download the binary for your operating system

2. lakefs is a single binary, you can run it directly, but preferably run it as a service using systemd or your operating system’s facilities.

   lakefs --config <PATH_TO_CONFIG_FILE> run