Considering various options for automation
Azure Storage, as a generic solution for building solutions that need scalable and reliable storage, can be easily automated using either native or external tools. In this section, we’ll talk about scenarios that could possibly be automated and how to approach this. Let’s start with managing data stored in Blob Service.
Automated cleanup of data
One of the biggest challenges when working with data-based infrastructure is providing a way to automatically clean up data that is no longer needed. This is often a requirement in systems that must follow legal requirements regarding how long users’ data is stored. In Azure Storage, if you choose to use Blob Storage as your storage service, you can leverage life cycle management, which will help you move files between tiers (hot -> cool -> archive) and delete them after a certain period of inactivity.
SAS token handling
If you decide to use SAS tokens as your...
