Log streaming: Microsoft Azure Blob Storage

1. Review the information in our guide to setting up remote log streaming.

2. In the Azure Blob Storage area, click Create endpoint.

3. Fill out the Create a Microsoft Azure Blob Storage endpoint fields as follows:

   • In the Name field, enter a human-readable name for the endpoint.
   • In the Placement area, select where the logging call should be placed in the generated VCL. Valid values are Format Version Default, waf_debug (waf_debug_log), and None. Read our guide on changing log placement for more information.
   • In the Log format field, enter a string formatted as a comma-separated value (CSV) to use for log formatting. See Ingesting data for Azure Data Explorer for more information.
   • In the Storage account name field, enter the unique Azure namespace in which your data objects will be stored.
   • In the Container field, enter the name of the Blob Storage container to store logs in. Check out Microsoft's Blob storage page for more information.
   • In the SAS token field, enter the token associated with the container.
   TIP

   Ensure you update your token before it expires otherwise the logging functionality will not work.

   • (Optional) In the Maximum bytes field, enter the maximum file size in bytes.
   • (Optional) In the Period field, enter an interval (in seconds) to control how frequently your log files are rotated. Rotation entails the finalization of one file object and the start of a new one, never removing any previously created file object. This value defaults to 3600 seconds.
   • (Optional) In the Timestamp format field, enter a timestamp format for log files. The default is an strftime compatible string. Our guide on changing where log files are written provides more information.

4. Click Advanced options and fill out the fields as follows:

   • (Optional) In the Path field, enter the path within the bucket to store the files. The path ends with a trailing slash. If this field is left empty, the files will be saved in the bucket's root path. Our guide on changing where log files are written provides more information.
   • (Optional) In the PGP public key field, enter a PGP public key that Fastly will use to encrypt your log files before writing them to disk. You will only be able to read the contents by decrypting them with your private key. The PGP key should be in PEM (Privacy-Enhanced Mail) format. Read our guide on log encryption for more information.
   • In the Select a log line format area, select the log line format for your log messages. Our guide on changing log line formats provides more information.
   • (Optional) In the Compression field, select the compression format you want applied to the log files. Our guide on changing log compression options provides more information.
5. Click Create to create the new logging endpoint.
6. Click Activate to deploy your configuration changes.

Ingesting data for Azure Data Explorer

Azure Data Explorer is a data exploration service for log and telemetry data. To ingest your data correctly, Data Explorer requires your logs to be formatted as comma-separated values (CSVs). When creating your logging endpoint:

• Set the Log format to a CSV string ( %H,%{time.start.sec}V,%{regsub(req.http.User-Agent, \{"""\}, \{""""\})}V).
• Specify blank when you Select a log line format in the Advanced options.

Our guide on changing log line formats provides more information.