They spent the majority of their time at Virtualisation Field Day going through all the details of how they can do backups and restores and to be honest it was rather dull. Backups are hugely critical to your infrastructure and just like insurance you don’t want to find out you are not protected when it is too late. The thing though is backup nowadays is such a utility service. It would be unfair to say that backups haven’t evolved because they have particularly with virtualisation but ultimately you are still taking a copy of your data and storing it remotely from your live data. The what hasn’t changed much even if the how has.
This makes talking about backup a difficult task because your audience always certainly knows what backup does and generally how it works even if your tool may have a few differences. Being able to back something up and restore it is a given, being able to mount backups of VMs and restore files within those backed up VMs is now a given as well however your backup vendor choses to do it.
I feel CommVault did itself a disservice at Virtualisation Field Day which is evident by the lack of post game talk and analysis about their solution compared to some of the other presentations, proof that backups are not sexy.
However I feel that CommVault has an interesting story to tell if they could just elevate themselves from the backup bandwagon.
CommVault Simpana’s USP is not in the backup but in the use and analysis of the data that has been ingested. I use ingested deliberately to make the distinction between it just being a backup used to recover something some time in the future. Companies are being asked to do more and more with their data, some of it is in live databases or files but a huge amount is actually archive data, old log files, old emails, old text messages, old voicemails, old x-rays, old files. Companies are often required legally to keep this old stuff around for a long time and you know how this is stored, in a completely separate copy from backups. Emails are journalled by product x. text messages by product y, voicemails by product z. These products may be even separate companies with completely separate data formats, there’s no way you could search across them.