> ## Documentation Index
> Fetch the complete documentation index at: https://docs.odigos.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure Blob Storage

> Configuring the Azure Blob Storage backend (Managed)

### Getting Started

<img src="https://d15jtxgb40qetw.cloudfront.net/blobstorage.svg" alt="azureblob" className="not-prose h-20" />

Odigos exports data to Azure Blob Storage in [OTLP format](https://opentelemetry.io/docs/specs/otlp/). Data can be exported either in JSON format or in binary format (protobuf).

### Configuring Destination Fields

<Accordion title="Supported Signals:">
  ✅ Traces
  ❌ Metrics
  ✅ Logs
  ❌ Profiles
</Accordion>

* **AZURE\_BLOB\_ACCOUNT\_NAME** `string` : Account Name.
  * This field is required
* **AZURE\_BLOB\_CONTAINER\_NAME** `string` : Container Name.
  * This field is required

### Adding Destination to Odigos

There are two primary methods for configuring destinations in Odigos:

##### **Using the UI**

<Steps>
  <Step>
    Use the [Odigos CLI](https://docs.odigos.io/cli/odigos_ui) to access the UI

    ```bash theme={null}
    odigos ui
    ```
  </Step>

  <Step>
    Click on `Add Destination`, select `Azure Blob Storage` and follow the on-screen instructions
  </Step>
</Steps>

##### **Using Kubernetes manifests**

<Steps>
  <Step>
    Save the YAML below to a file (e.g. `azureblob.yaml`)

    ```yaml theme={null}
    apiVersion: odigos.io/v1alpha1
    kind: Destination
    metadata:
      name: azureblob-example
      namespace: odigos-system
    spec:
      data:
        AZURE_BLOB_ACCOUNT_NAME: <Account Name>
        AZURE_BLOB_CONTAINER_NAME: <Container Name>
      destinationName: azureblob
      signals:
      - TRACES
      - LOGS
      type: azureblob
    ```
  </Step>

  <Step>
    Apply the YAML using `kubectl`

    ```bash theme={null}
    kubectl apply -f azureblob.yaml
    ```
  </Step>
</Steps>