So now it is OK to sell systems using “Raw IOPS”???

As the self-proclaimed storage vigilante, I will keep bringing these idiocies up as I come across them.

So, the latest “thing” now is selling systems using “Raw IOPS” numbers.

Simply put, some vendors are selling based on the aggregate IOPS the system will do based on per-disk statistics and nothing else.

They are not providing realistic performance estimates for the proposed workload, with the appropriate RAID type and I/O sizes and hot vs cold data and what the storage controller overhead will be to do everything. That’s probably too much work.

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An explanation of IOPS and latency

<I understand this extremely long post is redundant for seasoned storage performance pros – however, these subjects come up so frequently, that I felt compelled to write something. Plus, even the seasoned pros don’t seem to get it sometimes… 🙂 >

IOPS: Possibly the most common measure of storage system performance.

IOPS means Input/Output (operations) Per Second. Seems straightforward. A measure of work vs time (not the same as MB/s, which is actually easier to understand – simply, MegaBytes per Second).

How many of you have seen storage vendors extolling the virtues of their storage by using large IOPS numbers to illustrate a performance advantage?

How many of you decide on storage purchases and base your decisions on those numbers?

However: how many times has a vendor actually specified what they mean when they utter “IOPS”? 🙂

For the impatient, I’ll say this: IOPS numbers by themselves are meaningless and should be treated as such. Without additional metrics such as RAID type, randomness, latency, read vs write % and I/O size (to name a few), an IOPS number is useless.

And now, let’s elaborate… (and, as a refresher regarding the perils of ignoring such things when it comes to sizing, you can always go back here).

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What is hard disk short stroking?

This is going to be a short post, to atone for my past sins of overly long posts but mostly because I want to eat dinner.

On storage systems with spinning disks, a favorite method for getting more performance is short-stroking the disk.

It’s a weird term but firmly based on science. Some storage vendors even made a big deal about being able to place data on certain parts of the disk, geometrically speaking.

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NetApp posts great Cluster-Mode SPC-1 result

<Edited to add some more information on how SPC-1 works since there was some confusion based on the comments received>

We’ve been busy at NetApp… busy perfecting the industry’s only scale-out unified platform, among other things.

We’ve already released ONTAP 8.1, which, in Cluster-Mode, allows 24 nodes (each with up to 8TB cache) for NAS workloads, and 4 nodes for block workloads (FC and iSCSI).

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