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8 changes: 7 additions & 1 deletion docs/deploying-airbyte/integrations/secrets.md
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Expand Up @@ -7,7 +7,13 @@ import TabItem from '@theme/TabItem';

# Secret Management

Airbyte's default behavior is to store connector secrets on your configured database. Airbyte recommends storing connector secrets in an external secret manager. The currently supported Secret managers are: AWS Secrets Manager, Google Secrets Manager or Hashicorp Vault. Upon creating a new connector, secrets (e.g. OAuth tokens, database passwords) will be written to and read from the configured Secrets manager.
Secrets are sensitive information that should be kept confidential to protect the security and integrity of your instance.

:::info
Airbyte's default behavior is to store connector secrets on your configured database. This will be stored in plain-text and not encrypted.
:::

Airbyte **highly recommends** storing connector secrets in an external secret manager to ensure secrets are not exposed. The currently supported Secret managers are: AWS Secrets Manager, Google Secrets Manager or Hashicorp Vault. Upon creating a new connector, secrets (e.g. OAuth tokens, database passwords) will be written to and read from the configured Secrets manager.

## Secrets

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2 changes: 2 additions & 0 deletions docs/using-airbyte/getting-started/oss-quickstart.md
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Expand Up @@ -21,6 +21,8 @@ If you've already set up an Airbyte instance using Docker Compose and want to mo
**When you're ready to put an Airbyte instance into production, you'll want to review our guides on deployment.**

For the best experience, we recommend [Deploying Airbyte on Kubernetes via Helm](../../deploying-airbyte/deploying-airbyte.md).

On a local deployment, Airbyte's default behavior is to store connector secrets in your configured database. These secrets are stored in plain text and are not encrypted. Refer to the [Secret Management documentation](../../deploying-airbyte/integrations/secrets.md) to set up an external secrets manager.
:::

If setting up an Airbyte server does not fit your use case needs (i.e. you're using Jupyter Notebooks or iterating on an early prototype for your project) you may find the [PyAirbyte](../pyairbyte/getting-started.mdx) documentation useful.
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