@kapa.ai Which best practices for configuring airbyte source/connections etc, I would like to store all configuration in gitlab

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@kapa.ai curl -s -o- https://raw.githubusercontent.com/airbytehq/airbyte/master/octavia-cli/install.sh | bash return 404

A message from kapa.ai

The error you're encountering is likely due to the fact that the Octavia CLI has been removed from the Airbyte repository. This is mentioned in several of the provided knowledge sources, such as [Github Issue 35694](https://github.com/airbytehq/airbyte/issues/35694), [Github Issue 14582](https://github.com/airbytehq/airbyte/issues/14582), and [Github Issue 24256](https://github.com/airbytehq/airbyte/issues/24256). As a result, the URL you're using to install Octavia CLI via curl is no longer valid, hence the 404 error. As an alternative, you might want to consider using the official [Airbyte Terraform Provider](https://registry.terraform.io/providers/airbytehq/airbyte/0.1.0) for managing your Airbyte configurations, as suggested in the [Version control Airbyte configurations with Octavia CLI](https://airbyte.com/tutorials/version-control-airbyte-configurations) tutorial.

@kapa.ai give me code for install octavia

A message from kapa.ai

I'm sorry for the confusion, but as mentioned in the previous responses and in the provided knowledge sources, the Octavia CLI has been removed from the Airbyte repository and is no longer maintained. This means that the installation script for Octavia CLI is no longer available and the tool won't receive updates anymore. This is confirmed in several Github issues such as [Github Issue 35694](https://github.com/airbytehq/airbyte/issues/35694), [Github Issue 14582](https://github.com/airbytehq/airbyte/issues/14582), and [Github Issue 24256](https://github.com/airbytehq/airbyte/issues/24256). As an alternative for managing your Airbyte configurations, you might want to consider using the official [Airbyte Terraform Provider](https://registry.terraform.io/providers/airbytehq/airbyte/0.1.0) as suggested in the [Version control Airbyte configurations with Octavia CLI](https://airbyte.com/tutorials/version-control-airbyte-configurations) tutorial.

@kapa.ai so how i can used terraform apply, store scheduller etc

A message from kapa.ai

To use Terraform with Airbyte, you can follow these general steps: 1. Navigate to the Airbyte Configuration Directory: Change to the relevant directory containing the Terraform configuration for Airbyte:

bash cd infra/airbyte

2. Modify Configuration Files: Within the

infra/airbyte

directory, you'll find three crucial Terraform files: - `provider.tf`: Defines the Airbyte provider. - `main.tf`: Contains the main configuration for creating Airbyte resources. - `variables.tf`: Holds various variables, including credentials. Adjust the configurations in these files to suit your project's needs. Specifically, provide credentials for your connections. You can utilize the

<http://variables.tf|variables.tf>

file to manage these credentials. 3. Initialize Terraform: This step prepares Terraform to create the resources defined in your configuration files.

bash terraform init

4. Review the Plan: Before applying any changes, review the plan to understand what Terraform will do.

bash terraform plan

5. Apply Configuration: After reviewing and confirming the plan, apply the Terraform configurations to create the necessary Airbyte resources.

bash terraform apply

6. Verify in Airbyte UI: Once Terraform completes its tasks, navigate to the Airbyte UI. Here, you should see your source and destination connectors, as well as the connection between them, set up and ready to go. For scheduling, Airbyte provides a scheduler within its UI that allows you to set the frequency of data syncs. After setting up your source and destination connectors, you can configure the schedule in the connection setup process. Please note that the exact details and values in the configuration files will depend on your specific use case and the systems you're connecting with Airbyte. For more detailed instructions, you can refer to the tutorials provided in the knowledge sources, such as [this one](https://airbyte.com/tutorials/e-commerce-analytics-with-airbyte-dbt-dagster-and-bigquery) or [this one](https://airbyte.com/tutorials/building-an-e-commerce-data-pipeline-a-hands-on-guide-to-using-airbyte-dbt-dagster-and-bigquery).