All applications are not the same but most organization treat them that way. The problem with treating all application equally is it increases the cost of your disaster recovery effort and, in most cases, decreases your ability to meet expectations.…
Storage Switzerland’s W. Curtis Preston suggests in a recent video the key to a successful DR plan is classifying your applications into recovery buckets or priorities. But how exactly do you determine which applications should go into which bucket? In…
Flash often makes the hardware selection less important, but makes the software selection very important. The right software can not only ensure optimal flash performance, but also extend flash implementation beyond the typical high-transaction database use cases and into modern…
It is impossible for all applications to be recovered instantly with no data loss after a disaster. But that is exactly what users expect. We find in some organizations IT avoids having the necessary conversation that brings users and application…
Disaster Recovery is a complex and fragile process. That is why it is important for IT to simplify that process as much as possible. An area where we are seeing success is how you group applications. While each application will…
Most data centers have some sort of backup strategy where it copies data on a periodic basis, typically once per night, to a secondary storage device and then either replicated or transported to a disaster recovery site. They count on…
Is instant recovery compatible with inline deduplication? That’s the question I found myself asking after listening to the briefing for Altaro VM Backup 7, since Altaro announced the addition of both features in this version. I’m a fan of instant…
Achieving a zero or near-zero recovery point and recovery time objective requires planning. From a data perspective, IT needs to position the data in a ready state on the recovery system. The positioning or copying of data needs to happen either as,…
OpsDataStore Briefing Note One of the most practical use cases of big data analytics is the analysis of data that the organization is already generating, typically in the form of log file examination, which yields impressive results (most notably in…
The data protection process always seems like it is playing catch up to the recovery expectations of production data. Part of the problem is that data protection is often considered after an application has rolled-out in production. The other part…
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