Exponential data growth has long been recognised as a challenge for organisations of all sizes. As we forge a path into cloud compute and storage, alongside virtual and physical platforms, IT complexity becomes an ever-increasing battle. Microsoft's StorSimple solution is a hybrid cloud storage solution that addresses the complexities of exponential data growth. It does this by leveraging Microsoft Azure cloud storage as an extension of the on-premises solution and automatically tiering data across both parts of the infrastructure. Recently, Microsoft enhanced this offering with support for Veritas Backup Exec 16, recognising the value this extension to a 30 year partnership brings in the battle against complexity.
Why StorSimple is a great backup target
- It provides standard, local storage for backup applications to use as a fast backup destination, without any changes. You also can use StorSimple for a quick restore of recent backups.
- Cloud tiering is seamlessly integrated with an Azure cloud storage account to use cost-effective Azure Storage.
- It automatically provides offsite storage for disaster recovery.
Why Backup Exec 16 is the perfect partner
- It protects data faster and more frequently, minimizing data loss in the event of disaster.
- Virtual, physical and cloud infrastructures are all protected and leveraged to deliver off-site protection and instant recovery
- With simple capacity-based licensing, everything is included with no additional charge for protecting data to cloud storage
With 78% of organisations using or considering cloud storage in the next three years*, a focus on harnessing the power and flexibility of seamlessly integrated, easy to use, backup and recovery from application to cloud storage and back again should be high on your list of priorities. It could be the difference between business survival and business failure.
If you are ready to recognise that the difference could be you,
Download the infographic here
Watch the video here
Read the Spiceworks report here
*Spiceworks Survey, 2016
