Tag: storage

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How to Successfully Navigate Storage Vendor Capacity Guarantees

beancounter

I want to arm you with the knowledge needed to properly navigate storage efficiency guarantee contracts and arrive at a safe system sizing, with reasonable assumptions.

This is another of my generic, vendor-neutral posts aimed at helping the audience be aware of certain important things that I often see overlooked.

How does one navigate the small print around storage data reduction guarantees? What are you entitled to if the vendor misses the mark? And how do you minimize your risk when faced with certain sales teams that are determined to win even if it means huge customer risk?

Do you know your data makeup? And how it may affect a capacity guarantee? But, more importantly, how it will affect your overall efficiency?

Let’s start with a nice reductio ad absurdum example to illustrate what I mean.

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HPE GreenLake for File Storage

A critical part of the recent April 4th, 2023 announcements from HPE Storage was the scale-out HPE GreenLake for File Storage.

For the foundational piece explaining the common hardware between the various offerings please go here. For the Block storage piece, here.

The new HPE File offering is based on the HPE Alletra Storage MP hardware, and uses a common management interface for both File and Block, providing a seamless, centralized, multiprotocol management experience.

For the people that like looking at boxes, a small one would look like this:

A Small HPE GreenLake for File Storage System – Compute Separate from Capacity
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The New HPE GreenLake for Block Storage – Powered by Alletra Storage MP.

The joy of blocks

Now that we have the basic Alletra Storage MP hardware architecture details explained, what is the new Block storage offering from HPE?

It is the next evolution of HPE storage, combining novel approaches with certain tried-and-true elements and concepts from our existing systems.

For the people that love looking at boxes, here’s a photo of one of the new systems.

Bezel designers are the unsung heroes of storage. Without them everything would look the same.
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When Terrified Vendors Attack: The Dell PowerStore Edition

Dell is at it again. This time, they paid Principled Technologies to do some tests in order to produce a ridiculous report trying to compare the high-end HPE Primera to the midrange Dell EMC PowerStore.

I’ll expose some of the more egregious errors in their methodology and overall thinking, but first I want to direct readers to an easy way to impartially compare for themselves, without having to read a FUD document sponsored by anyone at all.

Executive Summary: A Primera 670 is multiple times faster than a PowerStore 9000T, has stronger data protection, and much higher uptime.

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The Harsh Realities of PCIe Lane Shortage in Storage Systems

There are a lot of myths and misinformation, plus more than a modicum of misunderstanding, regarding how storage systems can use available bandwidth, especially with certain newer kinds of media.

I wanted to explain some of the harsh facts of storage system design in the real world, and why one shouldn’t just add up drive speeds to estimate performance.

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The Loss of Important Knowledge and Acumen Through Perceived Commoditization

I posit that we now have a whole new class of consumer that is completely oblivious to certain hitherto fundamental concepts – and this can lead to poor business decisions and overall sub-optimal execution and results.

I got the idea after a discussion with an ex colleague (that’s now working for a cloud vendor) where he proudly proclaimed that infrastructure is unimportant and uninteresting.

I’ll start generically and shift to IT. The generic aspect of this problem is very interesting, since it’s lowering quality in all sorts of fields.

And never forget: Just because something is widely and easily available doesn’t mean it’s better. It simply means that more people have access to it.

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The Well-Behaved Storage System: Automatic Noisy Neighbor Avoidance

This topic is very near and dear to me, and is one of the big reasons I came over to Nimble Storage.

I’ve always believed that storage systems should behave gracefully and predictably under pressure. Automatically. Even under complex and difficult situations.

It sounds like a simple request and it makes a whole lot of sense, but very few storage systems out there actually behave this way. This creates business challenges and increases risk and OpEx.

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Architecture has long term scalability implications for All Flash Appliances

Recently, many vendors announced the availability of large SSDs. It’s not extremely exciting – it’s just a larger storage medium. Sure, it’s really advanced 3D NAND, it’s fast and ultra-reliable, and will allow some nicely dense configurations at a reduced $/GB. Another day in Enterprise Storage Land.

But, ultimately, that’s how drives roll – they get bigger. And in the case of SSD, the roadmaps seem extremely aggressive regarding capacities, with 100TB per device coming.

Then I realized that several vendors don’t have large SSD capacities available.

But why? Why ignore such a seemingly easy and hugely cost-effective way to increase density?

In this post I will attempt to explain why certain architectural decisions may lead to inflexible design constructs that can have long-term flexibility and scalability ramifications.

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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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