You can use one or multiple buckets on S3 to store logs, job outputs, and experiment artifacts.

Create an S3 bucket

You should create an S3 bucket (e.g. plx-storage).

You need to expose information about how to connect to the blob storage, the standard way is to expose these keys:

  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY

And optionally these keys:

  • AWS_ENDPOINT_URL
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_SECURITY_TOKEN
  • AWS_REGION

Create a secret or a config map for storing these keys

We recommend using a secret to store your access information json object:

kubectl create secret -n polyaxon generic s3-secret --from-literal=AWS_ACCESS_KEY_ID=key-id --from-literal=AWS_SECRET_ACCESS_KEY=hash-key

Use the secret name and secret key in your data persistence definition

artifactsStore:
  name: s3-dataset1
  kind: wasb
  schema:
    bucket: "s3://bucket/"
  secret:
    name: "s3-secret"

Update/Install Polyaxon deployment

You can deploy/upgrade your Polyaxon CE or Polyaxon Agent deployment with access to the artifacts store.