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Azure blob storage archiving

Splunk AppInspect Passed
Admins: Please read about Splunk Enterprise 8.0 and the Python 2.7 end-of-life changes and impact on apps and upgradeshere.
Overview
Details
The Splunk Add-on for Azure blob storage archiving application documentation provides a robust and smart archiving framefork solution for Splunk Enterprise and Azure blob storage.

It relies on the Splunk built-in archiving capabilities and Azure blob storage and tables via the usage of the Python SDK for Azure.

The framework and concept can be summarised the following way:

- Splunk automatically calls the AzFrozen2Blob.py Python script when a bucket is frozen from cold storage (assuming archiving is enabled on the index)
- The Python script accesses an Azure storage account and verifies in a pre-defined Azure storage table if that bucket ID has been archived already (management of buckets replication for Splunk indexers in cluster)
- If the bucket has not been archived yet, a tgz archive of the bucket is created and uploaded to the pre-defined container in Azure blob
- If the upload to blob is successful, the Python script inserts a new record in the Azure storage table with all the useful information related to this bucket
- If the upload is successful, the script exists with an error code=0 which instructs Splunk that the bucket can be frozen, otherwise the script exit=1 and a new attempt will be made automatically by Splunk

See: https://ta-azure-blob-archiving.readthedocs.io

*** This is application is for Splunk Enterprise on-premise or private Clouds only, and not intented to be deployed on Splunk Cloud ***

This project is hosted on GitHub:
- https://github.com/guilhemmarchand/TA-azure-blob-archiving

See the documentation on-line:
- https://ta-azure-blob-archiving.readthedocs.io/

Release Notes

Version 1.0.4
Oct. 7, 2020

- Feature: Add archived volume Metadata to be stored in the Azure table, and used for analytic purposes in Splunk UIs

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