Predictive Storage Caching
The easiest way to increase performance AND lower storage costs
Patented caching algorithms for performance and control
Reliable
Pre-load frequently used data sets for consistent high performance, accelerate read and write operations and slash I/O latency
Simple
Easily configure systems to precise IOPS and capacity with a patented method for predicting ‘hot’ data that best utilizes cache tiers
Lower Costs
Leverage caching in a lightweight solution to avoid the cost and complexity of all-flash and over-provisioned systems
Features of Predictive Storage Caching
Write back caching (SSD) – write operations are directed to SSD for immediate acknowledgement back to the server, and the data is written from SSD to hard disk at a later time. This accelerates write operations, but also allows faster read operations of data in the SSD cache.
Predictive read ahead caching (SSD and memory) – Identifies sequential read I/O patterns, pre-fetching subsequent related data from disk into memory. It also addresses the virtual server “I/O blender effect” by using sophisticated algorithms that can identify patterns that are interleaved I/O requests from multiple different VMs.
Data pinning – Frequently repeated operations, such as booting virtual machines, or end of month processing can be mapped and loaded into memory from disk ahead of time, allowing the memory cache to be ‘pre-warmed’.
StorMagic’s Predictive Storage Caching features allow organizations to build a solution which uses multiple storage types as a cache and delivers exceptional performance in a cost-effective manner. Compared to a system with no storage caching, Predictive Storage Caching can help organizations achieve significant performance gains and considerable reductions in CAPEX and OPEX. At a basic level, in many StorMagic use cases, organizations have discovered that simply adding a small amount of SSD as cache on top of their existing hard disks has dramatically improved performance, increased the life of their hardware and saved money, all by leveraging the caching features that StorMagic has to offer.

“Performance was essential for us. We cannot afford to spend half a day waiting for data imports. With the new solution the speed has increased enormously and positive feedback from our users confirm this.”
– Max Berndt | Head of IT | Autohaus Gruppe Seitz

“We’ve seen a ten-fold increase in performance on those servers running SvSAN – it used to be 50MB/second, now it’s 500-800MB/second – plus we see outstanding hardware redundancy on a two node cluster, and at half the cost.”
– Anders Kringstad | Solutions Architect | ITsjefen
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