That fix is probably going to be systems with automatic storage optimization. Systems where you just turn on the optimization switch and it works. You don't have to think about it and it is so intelligent it knows what data it can be effective on and leaves other data alone. You don't have time to teach your optimization system what to optimize and what to leave out. It needs to figure it out, automatically.
For automatic storage optimization to work, it has to be delivered with minimal or zero performance impact. The performance aspect of these optimization techniques is critical to their wide spread adoption and value. If you can turn on these capabilities, free up some existing capacity and bend the curve on data growth without a penalty why wouldn't you? Automatic means not having to plan when and if optimization is going to happen. As we discussed in our article "What is Real-Time Data Compression?" and "High Performance Primary Storage Deduplication", thanks to better software techniques, tighter integration with the storage software or file system and just faster processing capabilities suppliers should be able to provide you with better storage utilization rates without causing a noticeable performance impact on active, production data.
Automatic also means that the optimization happens in real time as data is being written to the devices. Real time provides the benefit of optimization throughout the data's lifecycle. It also means you do not have to manage your storage in two states (optimized and non optimized), it is simply always optimized to its highest level.
If automatic optimization can be delivered without you having to worry about the impact, then the significant roll down hill efficiency effect occurs that makes all the other storage processes more efficient. We will dive deeper into this in an upcoming entry.
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George Crump is lead analyst of Storage Switzerland, an IT analyst firm focused on the storage and virtualization segments. Find Storage Switzerland's disclosure statement here.