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[Docs] Use relative links in docs homepage (#38350)
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docs/deploying-airbyte/on-kubernetes-via-helm.md

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### External Logs with GCS
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:::Info
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:::info
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GCS Logging is similar to the approach taken for S3 above, with a few small differences
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GCS logging was tested on [Airbyte Helm Chart Version 0.54.69](https://artifacthub.io/packages/helm/airbyte/airbyte/0.54.69)
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:::
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#### Create Google Cloud Storage Bucket

docs/readme.md

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1. **The connector catalog**
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- **350+ pre-built connectors**: Airbyte’s connector catalog comes “out-of-the-box” with over 350 pre-built connectors. These connectors can be used to start replicating data from a source to a destination in just a few minutes.
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- **No-Code Connector Builder**: You can easily extend Airbyte’s functionality to support your custom use cases through tools like the [No-Code Connector Builder](https://docs.airbyte.com/connector-development/connector-builder-ui/overview).
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- **No-Code Connector Builder**: You can easily extend Airbyte’s functionality to support your custom use cases through tools like the [No-Code Connector Builder](/connector-development/connector-builder-ui/overview).
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2. **The platform:** Airbyte’s platform provides all the horizontal services required to configure and scale data movement operations, available as [cloud-managed](https://airbyte.com/product/airbyte-cloud) or [self-managed](https://airbyte.com/product/airbyte-enterprise).
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3. **The user interface:** Airbyte features a UI, [**PyAirbyte**](https://docs.airbyte.com/pyairbyte) (Python library), [**API**](https://docs.airbyte.com/api-documentation), and [**Terraform Provider**](https://docs.airbyte.com/terraform-documentation) to integrate with your preferred tooling and approach to infrastructure management.
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3. **The user interface:** Airbyte features a UI, [**PyAirbyte**](/using-airbyte/pyairbyte/getting-started) (Python library), [**API**](/api-documentation), and [**Terraform Provider**](/terraform-documentation) to integrate with your preferred tooling and approach to infrastructure management.
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Airbyte is suitable for a wide range of data integration use cases, including AI data infrastructure and EL(T) workloads. Airbyte is also [embeddable](https://airbyte.com/product/powered-by-airbyte) within your own application or platform to power your product.
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