Fall 2013 Dutch cloud, virtual and storage I/O seminars

Storage I/O trends

Fall 2013 Dutch cloud, virtual and storage I/O seminars

It is that time of the year again when StorageIO will be presenting a series of seminar workshops in the Netherlands on cloud, virtual and data storage networking technologies, trends along with best practice techniques.

Brouwer Storage

StorageIO partners with the independent firm Brouwer Storage Consultancy of Holland who organizes these sessions. These sessions will also mark Brouwer Storage Consultancy celebrating ten years in business along with a long partnership with StorageIO.

Server Storage I/O Backup and Data Protection Cloud and Virtual

The fall 2013 Dutch seminars include coverage of storage I/O networking data protection and related trends topics for cloud and virtual environments. Click on the following links or images to view an abstract of the three sessions including what you will learn, who they are for, buzzwords, themes, topics and technologies that will covered.

Modernizing Data Protection
Moving Beyond Backup and Restore

Storage Industry Trends
What’s News, What’s The Buzz and Hype

Storage Decision Making
Acquisition, Deployment, Day to Day Management

Modern Data Protection
Modern Data Protection
Modern Data Protection
September 30 & October 1
October 2 2013
October 3 and 4 2013

All seminar workshop seminars are presented in a vendor technology neutral including (e.g. these are not vendor marketing sales presentations) providing independent perspectives on industry trends, who is doing what, benefits, caveats of various approaches to addressing data infrastructure and storage challenges. View posts about earlier events here and here.

Storage I/O trends

As part of theme of being vendor and technology neutral, the workshop seminars are held off-site at hotel venues in Nijkerk Netherlands so no need to worry about the sales teams coming in to sell you something during the breaks or lunch which are provided. There are also opportunities throughout the workshops for engagement, discussion and interaction with other attendees that includes your peers from various commercial, government and service providers among others.

Learn more and register for these events by visiting the Brouwer Storage Consultancy website page (here) and calling them at +31-33-246-6825 or via email info@brouwerconsultancy.com.

Storage I/O events

View other upcoming and recent StorageIO activities including live in-person, online web and recorded activities on our events page here, as well as check out our commentary and industry trends perspectives in the news here.

Bitter ballen
Ok, nuff said, I’m already hungry for bitter ballen (see above)!

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

IBM Server Side Storage I/O SSD Flash Cache Software

Storage I/O trends

IBM Server Side Storage I/O SSD Flash Cache Software

As I often say, the best server storage I/O or IOP is the one that you do not have to do. The second best storage I/O or IOP is the one with least impact or that can be done in a cost-effective way. Likewise the question is not if solid-state device (SSD) including nand flash are in your future, rather when, where, why, with what, how much along with from whom. Also location matters when it comes to SSD including nand flash with different environments and applications leveraging different placement (locality) options, not to mention how much performance do you need vs. want?

As part of their $1 billion USD (to be spent over three years, or $333.3333 million per year) flash ahead initiative IBM has announced their Flash Cache Storage Accelerator (FCSA) server software. While IBM did not use the term, (congratulations and thank you btw) some creative marketer might want to try calling this Software Defined Cache (SDC) or Software Defined SSD (SDSSD) which if that occurs, apologies in advance ;). Keep in mind that it was about a year ago this time when IBM announced that they were acquiring SSD industry veteran Texas Memory Systems (TMS).

What was announced, introducing Flash Cache Storage Acceleration or FCSA

With this announcement of FCSA slated for customer general availability by end of August, IBM joins EMC and NetApp among other storage systems vendors who developed their own, or have collaborated on server-side IO optimization and cache software. Some of the other startup and established vendors who have IO optimization, performance acceleration and caching software include DataRam (Ramdisk), FusionIO, Infinio (NFS for VMware), Pernix (block for VMware), Proximal and SANdisk (bought flashsoft) among others.

Read more about IBM Flash Cache Software (FCSA) including various questions and perspectives in part two of this two-part post located here.

Ok, nuff said (for now)

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Part II: IBM Server Side Storage I/O SSD Flash Cache Software

Storage I/O trends

Part II IBM Server Flash Cache Storage I/O accelerator for SSD

This is the second in a two-part post series on IBM’s Flash Cache Storage Accelerator (FCSA) for Solid State Device (SSD) storage announced today. You can view part I of the IBM FCSA announcement synopsis here.

Some FCSA ssd cache questions and perspectives

What is FCSA?
FCSA is a server-side storage I/O or IOP caching software tool that makes use of local (server-side) nand flash SSD (PCIe cards or drives). As a cache tool (view IBM flash site here) FCSA provides persistent read caching on IBM servers (xSeries, Flex and Blade x86 based systems) with write through cache (e.g. data cached for later reads) while write data is written directly to block attached storage including SANs. back-end storage can be iSCSI, SAS, FC or FCoE based block systems from IBM or others including all SSD, hybrid SSD or traditional HDD based solutions from IBM and others.

How is this different from just using a dedicated PCIe nand flash SSD card?
FCSA complements those by using them as a persistent storage to cache storage I/O reads to boost performance. By using the PCIe nand flash card or SSD drives, FCSA and other storage I/O cache optimization tools free up valuable server-side DRAM from having to be used as a read cache on the servers. On the other hand, caching tools such as FCSA also keep local cached reads closer to the applications on the servers (e.g. locality of reference) reducing the impact on backed shared block storage systems.

What is FCSA for?
With storage I/O or IOPS and application performance in general, location matters due to locality of reference hence the need for using different approaches for various environments. IBM FCSA is a storage I/O caching software technology that reduces the impact of applications having to do random read operations. In addition to caching reads, FCSA also has a write-through cache, which means that while data written to back-end block storage including on iSCSI, SAS, FC or FCoE based storage (IBM or other vendors), a copy of the data is cached for later reads. Thus while the best storage I/O is the one that does not have to be done (e.g. can be resolved from cache), the second best would be writes that go to a storage system that are not competing with read requests (handled via cache).

Storage I/O trends

Who else is doing this?
This is similar to what EMC initially announced and released in February 2012 with VFcache now renamed to be XtremSW along with other caching and IO optimization software from others (e.g. SANdisk, Proximal and Pernix among others.

Does this replace IBM EasyTier?
Simple answer is no, one is for tiering (e.g. EasyTier), the other is for IO caching and optimization (e.g. FCSA).

Does this replace or compete with other IBM SSD technologies?
With anything, it is possible to find a way to make or view it as competitive. However in general FCSA complements other IBM storage I/O optimization and management software tools such as EasyTier as well as leverage and coexist with their various SSD products (from PCIe cards to drives to drive shelves to all SSD and hybrid SSD solutions).

How does FCSA work?
The FCSA software works in either a physical machine (PM) bare metal mode with Microsoft Windows operating systems (OS) such as Server 2008, 2012 among others. There is also *nix support for RedHat Linux, along with in a VMware virtual machine (VM) environment. In a VMware environment High Availability (HA), DRS and VMotion services and capabilities are supported. Hopefully it will be sooner vs. later that we hear IBM do a follow-up announcement (pure speculation and wishful thinking) on more hypervisors (e.g. Hyper-V, Xen, KVM) support along with Centos, Ubuntu or Power based systems including IBM pSeries. Read more about IBM Pure and Flex systems here.

What about server CPU and DRAM overhead?
As should be expected, a minimal amount of server DRAM (e.g. main memory) and CPU processing cycles are used to support the FCSA software and its drivers. Note the reason I say as should be expected is how you can have software running on a server doing any type of work that does not need some amount of DRAM and processing cycles. Granted some vendors will try to spin and say that there is no server-side DRAM or CPU consumed which would be true if they are completely external to the server (VM or PM). The important thing is to understand how much of an impact in terms of CPU along with DRAM consumed along with their corresponding effectiveness benefit that are derived.

Storage I/O trends

Does FCSA work with NAS (NFS or CIFS) back-end storage?
No this is a server-side block only cache solution. However having said that, if your applications or server are presenting shared storage to others (e.g. out the front-end) as NAS (NFS, CIFS, HDFS) using block storage (back-end), then FCSA can cache the storage I/O going to those back-end block devices.

Is this an appliance?
Short and simple answer is no, however I would not be surprised to hear some creative software defined marketer try to spin it as a flash cache software appliance. What this means is that FCSA is simply IO and storage optimization software for caching to boost read performance for VM and PM servers.

What is this hardware or storage agnostic stuff mean?
Simple, it means that FCSA can work with various nand flash PCIe cards or flash SSD drives installed in servers, as well as with various back-end block storage including SAN from IBM or others. This includes being able to use block storage using iSCSI, SAS, FC or FCoE attached storage.

What is the difference between Easytier and FCSA?
Simple, FCSA is providing read acceleration via caching which in turn should offload some reads from affecting storage systems so that they can focus on handling writes or read ahead operations. Easytier on the other hand is for as its name implies tiering or movement of data in a more deterministic fashion.

How do you get FCSA?
It is software that you buy from IBM that runs on an IBM x86 based server. It is licensed on a per server basis including one-year service and support. IBM has also indicated that they have volume or multiple servers based licensing options.

Storage I/O trends

Does this mean IBM is competing with other software based IO optimization and cache tool vendors?
IBM is focusing on selling and adding value to their server solutions. Thus while you can buy the software from IBM for their servers (e.g. no bundling required), you cannot buy the software to run on your AMD/Seamicro, Cisco (including EMC/VCE and NetApp) , Dell, Fujitsu, HDS, HP, Lenovo, Oracle, SuperMicro among other vendors servers.

Will this work on non-IBM servers?
IBM is only supporting FCSA on IBM x86 based servers; however, you can buy the software without having to buy a solution bundle (e.g. servers or storage).

What is this Cooperative Caching stuff?
Cooperative caching takes the next step from simple read cache with write-through to also support chance coherency in a shared environment, as well as leverage tighter application or guest operating system and storage system integration. For example, applications can work with storage systems to make intelligent predictive informed decisions on what to pre-fetch or read ahead and cached, as well as enable cache warming on restart. Another example is where in a shared storage environment if one server makes a change to a shared LUN or volume that the local server-side caches are also updated to prevent stale or inconsistent reads from occurring.

Can FCSA use multiple nand flash SSD devices on the same server?
Yes, IBM FCSA supports use of multiple server-side PCIe and or drive based SSD devices.

How is cache coherency maintained including during a reboot?
While data stored in the nand flash SSD device is persistent, it’s up to the server and applications working with the storage systems to decide if there is coherent or stale data that needs to be refreshed. Likewise, since FCSA is server-side and back-end storage system or SAN agnostic, without cooperative caching it will not know if the underlying data for a storage volume changed without being notified from another server that modified it. Thus if using shared back-end including SAN storage, do your due diligence to make sure multi-host access to the same LUN’s or volumes is being coordinated with some server-side software to support cache coherency, something that would apply to all vendors.

Storage I/O trends

What about cache warming or reloading of the read cache?
Some vendors who have tightly interested caching software and storage systems, something IBM refers to as cooperative caching that can have the ability to re-warm the cache. With solutions that support cache re-warming, the cache software and storage systems work together to main cache coherency while pre-loading data from the underlying storage system based on hot bands or other profiles and experience. As of this announcement, FCSA does not support cache warming on its own.

Does IBM have service or tools to complement FCSA?
Yes, IBM has an assessment, profile and planning tool that are available on a free consultation services basis with a technician to check your environment. Of course, the next logical step would be for IBM to make the tool available via free download or on some other basis as well.

Do I recommend and have I tried FCSA?
On paper, or WebEx, YouTube or other venue FCSA looks interesting and capable, a good fit for some environments particular if IBM server-based. However since my PM and VMware VM based servers are from other vendors, along with the fact that FCSA only runs on IBM servers, have not actually given it a hands on test drive yet. Thus if you are looking at storage I/O optimization and caching software tools for your VM or PM environment, checkout IBM FCSA to see if it meets your needs.

Storage I/O trends

General comments

It is great to see server and storage systems vendors add value to their solutions with I/O and performance optimization as well as caching software tools. However, I am also concerned with the growing numbers of different software tools that only work with one vendor’s servers or storage systems, or at least are supported as such.

This reminds me of a time not all that long ago (ok, for some longer than others) when we had a proliferation of different host bus adapter (HBA) driver and pathing drivers from various vendors. The result is a hodge podge (a technical term) of software running on different operating systems, hypervisors, PM’s, VMs, and storage systems, all of which need to be managed. On the other hand, for the time being perhaps the benefit will outweigh the pain of having different tools. That is where there are options from server-side vendor centric, storage system focused, or third-party software tool providers.

Another consideration is that some tools work in VMware environments; others support multiple hypervisors while others also support bare metal servers or PMs. Which applies to your environment will of course depend. After all, if you are an all VMware environment given that many of the caching tools tend to be VMware focused, that gives more options vs. for those who are still predominately PM environments.

Ok, nuff said (for now)

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Part II: How many IOPS can a HDD HHDD SSD do with VMware?

How many IOPS can a HDD HHDD SSD do with VMware?

server storage data infrastructure i/o iop hdd ssd trends

Updated 2/10/2018

This is the second post of a two-part series looking at storage performance, specifically in the context of drive or device (e.g. mediums) characteristics of How many IOPS can a HDD HHDD SSD do with VMware. In the first post the focus was around putting some context around drive or device performance with the second part looking at some workload characteristics (e.g. benchmarks).

A common question is how many IOPS (IO Operations Per Second) can a storage device or system do?

The answer is or should be it depends.

Here are some examples to give you some more insight.

For example, the following shows how IOPS vary by changing the percent of reads, writes, random and sequential for a 4K (4,096 bytes or 4 KBytes) IO size with each test step (4 minutes each).

IO Size for test
Workload Pattern of test
Avg. Resp (R+W) ms
Avg. IOP Sec (R+W)
Bandwidth KB Sec (R+W)
4KB
100% Seq 100% Read
0.0
29,736
118,944
4KB
60% Seq 100% Read
4.2
236
947
4KB
30% Seq 100% Read
7.1
140
563
4KB
0% Seq 100% Read
10.0
100
400
4KB
100% Seq 60% Read
3.4
293
1,174
4KB
60% Seq 60% Read
7.2
138
554
4KB
30% Seq 60% Read
9.1
109
439
4KB
0% Seq 60% Read
10.9
91
366
4KB
100% Seq 30% Read
5.9
168
675
4KB
60% Seq 30% Read
9.1
109
439
4KB
30% Seq 30% Read
10.7
93
373
4KB
0% Seq 30% Read
11.5
86
346
4KB
100% Seq 0% Read
8.4
118
474
4KB
60% Seq 0% Read
13.0
76
307
4KB
30% Seq 0% Read
11.6
86
344
4KB
0% Seq 0% Read
12.1
82
330

Dell/Western Digital (WD) 1TB 7200 RPM SATA HDD (Raw IO) thread count 1 4K IO size

In the above example the drive is a 1TB 7200 RPM 3.5 inch Dell (Western Digital) 3Gb SATA device doing raw (non file system) IO. Note the high IOP rate with 100 percent sequential reads and a small IO size which might be a result of locality of reference due to drive level cache or buffering.

Some drives have larger buffers than others from a couple to 16MB (or more) of DRAM that can be used for read ahead caching. Note that this level of cache is independent of a storage system, RAID adapter or controller or other forms and levels of buffering.

Does this mean you can expect or plan on getting those levels of performance?

I would not make that assumption, and thus this serves as an example of using metrics like these in the proper context.

Building off of the previous example, the following is using the same drive however with a 16K IO size.

IO Size for test
Workload Pattern of test
Avg. Resp (R+W) ms
Avg. IOP Sec (R+W)
Bandwidth KB Sec (R+W)
16KB
100% Seq 100% Read
0.1
7,658
122,537
16KB
60% Seq 100% Read
4.7
210
3,370
16KB
30% Seq 100% Read
7.7
130
2,080
16KB
0% Seq 100% Read
10.1
98
1,580
16KB
100% Seq 60% Read
3.5
282
4,522
16KB
60% Seq 60% Read
7.7
130
2,090
16KB
30% Seq 60% Read
9.3
107
1,715
16KB
0% Seq 60% Read
11.1
90
1,443
16KB
100% Seq 30% Read
6.0
165
2,644
16KB
60% Seq 30% Read
9.2
109
1,745
16KB
30% Seq 30% Read
11.0
90
1,450
16KB
0% Seq 30% Read
11.7
85
1,364
16KB
100% Seq 0% Read
8.5
117
1,874
16KB
60% Seq 0% Read
10.9
92
1,472
16KB
30% Seq 0% Read
11.8
84
1,353
16KB
0% Seq 0% Read
12.2
81
1,310

Dell/Western Digital (WD) 1TB 7200 RPM SATA HDD (Raw IO) thread count 1 16K IO size

The previous two examples are excerpts of a series of workload simulation tests (ok, you can call them benchmarks) that I have done to collect information, as well as try some different things out.

The following is an example of the summary for each test output that includes the IO size, workload pattern (reads, writes, random, sequential), duration for each workload step, totals for reads and writes, along with averages including IOP’s, bandwidth and latency or response time.

disk iops

Want to see more numbers, speeds and feeds, check out the following table which will be updated with extra results as they become available.

Device
Vendor
Make

Model

Form Factor
Capacity
Interface
RPM Speed
Raw
Test Result
HDD
HGST
Desktop
HK250-160
2.5
160GB
SATA
5.4K
HDD
Seagate
Mobile
ST2000LM003
2.5
2TB
SATA
5.4K
HDD
Fujitsu
Desktop
MHWZ160BH
2.5
160GB
SATA
7.2K
HDD
Seagate
Momentus
ST9160823AS
2.5
160GB
SATA
7.2K
HDD
Seagate
MomentusXT
ST95005620AS
2.5
500GB
SATA
7.2K(1)
HDD
Seagate
Barracuda
ST3500320AS
3.5
500GB
SATA
7.2K
HDD
WD/Dell
Enterprise
WD1003FBYX
3.5
1TB
SATA
7.2K
HDD
Seagate
Barracuda
ST3000DM01
3.5
3TB
SATA
7.2K
HDD
Seagate
Desktop
ST4000DM000
3.5
4TB
SATA
HDD
HDD
Seagate
Capacity
ST6000NM00
3.5
6TB
SATA
HDD
HDD
Seagate
Capacity
ST6000NM00
3.5
6TB
12GSAS
HDD
HDD
Seagate
Savio 10K.3
ST9300603SS
2.5
300GB
SAS
10K
HDD
Seagate
Cheetah
ST3146855SS
3.5
146GB
SAS
15K
HDD
Seagate
Savio 15K.2
ST9146852SS
2.5
146GB
SAS
15K
HDD
Seagate
Ent. 15K
ST600MP0003
2.5
600GB
SAS
15K
SSHD
Seagate
Ent. Turbo
ST600MX0004
2.5
600GB
SAS
SSHD
SSD
Samsung
840 PRo
MZ-7PD256
2.5
256GB
SATA
SSD
HDD
Seagate
600 SSD
ST480HM000
2.5
480GB
SATA
SSD
SSD
Seagate
1200 SSD
ST400FM0073
2.5
400GB
12GSAS
SSD

Performance characteristics 1 worker (thread count) for RAW IO (non-file system)

Note: (1) Seagate Momentus XT is a Hybrid Hard Disk Drive (HHDD) based on a 7.2K 2.5 HDD with SLC nand flash integrated for read buffer in addition to normal DRAM buffer. This model is a XT I (4GB SLC nand flash), may add an XT II (8GB SLC nand flash) at some future time.

As a starting point, these results are raw IO with file system based information to be added soon along with more devices. These results are for tests with one worker or thread count, other results will be added with such as 16 workers or thread counts to show how those differ.

The above results include all reads, all writes, mix of reads and writes, along with all random, sequential and mixed for each IO size. IO sizes include 4K, 8K, 16K, 32K, 64K, 128K, 256K, 512K, 1024K and 2048K. As with any workload simulation, benchmark or comparison test, take these results with a grain of salt as your mileage can and will vary. For example you will see some what I consider very high IO rates with sequential reads even without file system buffering. These results might be due to locality of reference of IO’s being resolved out of the drives DRAM cache (read ahead) which vary in size for different devices. Use the vendor model numbers in the table above to check the manufactures specs on drive DRAM and other attributes.

If you are used to seeing 4K or 8K and wonder why anybody would be interested in some of the larger sizes take a look at big fast data or cloud and object storage. For some of those applications 2048K may not seem all that big. Likewise if you are used to the larger sizes, there are still applications doing smaller sizes. Sorry for those who like 512 byte or smaller IO’s as they are not included. Note that for all of these unless indicated a 512 byte standard sector or drive format is used as opposed to emerging Advanced Format (AF) 4KB sector or block size. Watch for some more drive and device types to be added to the above, along with results for more workers or thread counts, along with file system and other scenarios.

Using VMware as part of a Server, Storage and IO (aka StorageIO) test platform

vmware vexpert

The above performance results were generated on Ubuntu 12.04 (since upgraded to 14.04 which was hosted on a VMware vSphere 5.1 (upgraded to 5.5U2) purchased version (you can get the ESXi free version here) with vCenter enabled system. I also have VMware workstation installed on some of my Windows-based laptops for doing preliminary testing of scripts and other activity prior to running them on the larger server-based VMware environment. Other VMware tools include vCenter Converter, vSphere Client and CLI. Note that other guest virtual machines (VMs) were idle during the tests (e.g. other guest VMs were quiet). You may experience different results if you ran Ubuntu native on a physical machine or with different adapters, processors and device configurations among many other variables (that was a disclaimer btw ;) ).

Storage I/O trends

All of the devices (HDD, HHDD, SSD’s including those not shown or published yet) were Raw Device Mapped (RDM) to the Ubuntu VM bypassing VMware file system.

Example of creating an RDM for local SAS or SATA direct attached device.

vmkfstools -z /vmfs/devices/disks/naa.600605b0005f125018e923064cc17e7c /vmfs/volumes/dat1/RDM_ST1500Z110S6M5.vmdk

The above uses the drives address (find by doing a ls -l /dev/disks via VMware shell command line) to then create a vmdk container stored in a dat. Note that the RDM being created does not actually store data in the .vmdk, it’s there for VMware management operations.

If you are not familiar with how to create a RDM of a local SAS or SATA device, check out this post to learn how.This is important to note in that while VMware was used as a platform to support the guest operating systems (e.g. Ubuntu or Windows), the real devices are not being mapped through or via VMware virtual drives.

vmware iops

The above shows examples of RDM SAS and SATA devices along with other VMware devices and dats. In the next figure is an example of a workload being run in the test environment.

vmware iops

One of the advantages of using VMware (or other hypervisor) with RDM’s is that I can quickly define via software commands where a device gets attached to different operating systems (e.g. the other aspect of software defined storage). This means that after a test run, I can quickly simply shutdown Ubuntu, remove the RDM device from that guests settings, move the device just tested to a Windows guest if needed and restart those VMs. All of that from where ever I happen to be working from without physically changing things or dealing with multi-boot or cabling issues.

Where To Learn More

View additional NAS, NVMe, SSD, NVM, SCM, Data Infrastructure and HDD related topics via the following links.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

So how many IOPs can a device do?

That depends, however have a look at the above information and results.

Check back from time to time here to see what is new or has been added including more drives, devices and other related themes.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.