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June 20, 2013January 23, 2019

EPA Energy Star Data Center Storage Draft Specification review

For those of you interested in EPA Energy Star for Data Center Storage, here is an announcement for an upcoming conference call and review of the version 1.0 final draft specification.

There are a few attachments referenced in the following note from EPA that can be accessed here:

EPA_Version 1.0 Storage Final Draft Specification Cover Letter
EPA_Version 1.0 Storage Draft 4 Specification Comment Response Document
EPA_Version 1.0 Storage Final Draft Test Method
EPA_Version 1.0 Storage Final Draft Specification

Dear ENERGY STAR® Data Center Storage Partner or Other Interested Party:

Please see the attached important correspondence from the U.S. Environmental Protection Agency concerning the ENERGY STAR Version 1.0 Data Center Storage Final Draft Specification and Test Method. EPA will host a webinar on July 9, 2013 from 3:00 5:00 PM Eastern Time to discuss the documents with stakeholders. Please RSVP for the webinar to storage@energystar.gov no later than July 5, 2013.

Thank you for your continued support of the ENERGY STAR program.

For more information, visit:www.energystar.gov

This message was sent to you on behalf of ENERGY STAR. Each ENERGY STAR partner organization must have at least one primary contact receiving e-mail to maintain partnership. If you are no longer working on ENERGY STAR, and wish to be removed as a contact, please update your contact status in your MESA account. If you are not a partner organization and wish to opt out of receiving e-mails, you may call the ENERGY STAR Hotline at 1-888-782-7937 and request to have your mass mail settings changed. Unsubscribing means that you will no longer receive program-wide or product-specific e-mails from ENERGY STAR.

Ok, nuff said.

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)
twitter @storageio

June 4, 2013March 7, 2022

IBM buys Softlayer, for software defined infrastructures and clouds?

Storage I/O trends

IBM today announced that they are acquiring privately held Dallas Texas-based Softlayer and Infrastructure as a Service (IaaS) provider.

IBM is referring to this as Cloud without Compromise (read more about clouds, conversations and confidence here).

It’s about the management, flexibly, scale up, out and down, agility and valueware.

Is this IBM’s new software defined data center (SDDC) or software defined infrastructure (SDI) or software defined management (SDM), software defined cloud (SDC) or software defined storage (SDS) play?

This is more than a software defined marketing or software defined buzzword announcement.
buzzword bingo

If your view of software define ties into the theme of leveraging, unleashing resources, enablement, flexibility, agility of hardware, software or services, then you may see Softlayer as part of a software defined infrastructure.

On the other hand, if your views or opinions of what is or is not software defined align with a specific vendor, product, protocol, model or punditry then you may not agree, particular if it is in opposition to anything IBM.

Cloud building blocks

During today’s announcement briefing call with analysts there was a noticeable absence of software defined buzz talk which given its hype and usage lately, was a refreshing welcome relief. So with that, lets set the software defined conversation aside (for now).

Cloud image

Who is Softlayer, why is IBM interested in them?

Softlayer provide software and services to support both SMB, SME and other environments with bare metal (think traditional hosted servers), along with multi-tenant (shared) cloud virtual public and private cloud service offerings.

Softlayer supports various applications, environments from little data processing to big data analytics to little data processing, from social to mobile to legacy. This includes those app’s or environments that were born in the cloud, or legacy environments looking to leverage cloud in a complimentary way.

Some more information about Softlayer includes:

Privately held IaaS firm founded in 2005
Estimated revenue run rate of around $400 million with 21,000 customers
Mix of SMB, SME and Web-based or born in the cloud customers
Over 100,000 devices under management
Provides a common modularized management framework set of tools
Mix of customers from Web startups to global enterprise
Presence in 13 data centers across the US, Asia and Europe
Automation, interoperability, large number of API access and supported
Flexibility, control and agility for physical (bare metal) and cloud or virtual
Public, private and data center to data center
Designed for scale, durability and resiliency without complexity
Part of OpenStack ecosystem both leveraging and supporting it
Ability for customers to use OpenStack, Cloudstack, Citrix, VMware, Microsoft and others
Can be white or private labeled for use as a service by VARs

Storage I/O trends

What IBM is planning for Softlayer

Softlayer will report into IBM Global Technology Services (GTS) complimenting existing capabilities which includes ten cloud computing centers on five continents. IBM has created a new Cloud Services Division and expects cloud revenues could be $7 billion annually by the end of 2015. Amazon Web Services (AWS) is estimated to hit about $3.8 Billion by end of 2013. Note that in 2012 AWS target available market was estimated to be about $11 Billion which should become larger moving forward. Rackspace by comparison had recent earning announcements on May 8 2013 of $362 Million with most that being hosting vs. cloud services. That works out to an annualized estimated run rate of $1.448 Billion (or better depending on growth).

I mention AWS and Rackspace to illustrate the growth potential for IBM and Softlayer to discuss the needs of both cloud services customers such as those who use AWS (among other providers), as well as bare metal or hosting or dedicated servers such as with Rackspace among others.

Storage I/O trends

What is not clear at this time is if IBM is combing traditional hosting, managed services, new offerings, products and services in that $7 billion number. In other words if the $7 billion represents what the revenues of the new Cloud Services Division independent of other GTS or legacy offerings as well as excluding hardware, software products from STG (Systems Technology Group) among others, that would be impressive and a challenge to the likes of AWS.

IBM has indicated that it will leverage its existing Systems Technology Group (STG) portfolio of servers and storage extending the capabilities of Softlayer. While currently x86 based, one could expect IBM to leverage and add support for their Power systems line of processors and servers, Puresystems, as well as storage such as XIV or V7000 among others for tier 1 needs.

Some more notes:

Ties into IBM Smart Cloud initiatives, model and paradigm
This deal is expected to close 3Q 2013, terms or price were not disclosed.
Will enable Softlayer to be leveraged on a larger, broader basis by IBM
Gives IBM increased access to SMB, SME and web customers than in the past
Software and development to stay part of Softlayer
Provides IBM an extra jumpstart play for supporting and leveraging OpenStack
Compatible and supports Cloustack and Citrix who are also IBM partners
Also compatible and supports VMware who is also an IBM partner

Storage I/O trends

Some other thoughts and perspectives

This is a good and big move for IBM to add value and leverage their current portfolios of both services, as well as products and technologies. However it is more than just adding value or finding new routes to markets for those goods and services, it’s also about enablement IBM has long been in the services including managed services, out or in sourcing and hosting business. This can be seen as another incremental evolution of those offerings to both existing IBM enterprise customers, as well to reach new, emerging along with SMB or SME’s that tend to grow up and become larger consumers of information and data infrastructure services.

Further this helps to add some product and meaning around the IBM Smart Cloud initiatives and programs (not that there was not before) giving customers, partners and resellers something tangible to see, feel, look at, touch and gain experience not to mention confidence with clouds.

On the other hand, is IBM signaling that they want more of the growing business that AWS has been realizing, not to mention Microsoft Azure, Rackspace, Centurylink/Savvis, Verizon/Terremark, CSC, HP Cloud, Cloudsigma, Bluehost among many others (if I missed you or your favorite provider, feel free to add it to the comments section). This also gets IBM added Devops exposure something that Softlayer practices, as well as a Openstack play, not to mention cloud, software defined, virtual, big data, little data, analytics and many other buzzword bingo terms.

Congratulations to both IBM and the Softlayer folks, now lets see some execution to watch how this unfolds.

Ok, nuff said.

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)
twitter @storageio

May 29, 2013November 26, 2023

Web chat Thur May 30th: Hot Storage Trends for 2013 (and beyond)

Storage I/O trends

Join me on Thursday May 30, 2013 at Noon ET (9AM PT) for a live web chat at the 21st Century IT (21cit) site (click here to register, sign-up, or view earlier posts). This will be an online web chat format interactive conversation so if you are not able to attend, you can visit at your convenience to view and give your questions along with comments. I have done several of these web chats with 21cit as well as other venues that are a lot of fun and engaging (time flies by fast).

For those not familiar, 21cIT is part of the Desum/UBM family of sites including Internet Evolution, SMB Authority, and Enterprise Efficiency among others that I do article posts, videos and live chats for.

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

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

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.

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

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

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 ;) ).

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.

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.

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.

Can we get a side of context with them IOPS and other storage metrics?
WHEN AND WHERE TO USE NAND FLASH SSD FOR VIRTUAL SERVERS
Revisiting RAID storage remains relevant and resources
NVMe overview and primer – Part I
Part 1 of HDD for content servers series Trends and Content Application Servers
Part 2 of HDD for content servers series Content application server decisions and testing plans
Part 3 of HDD for content servers series Test hardware and software configuration
Part 4 of HDD for content servers series Large file I/O processing
Part 5 of HDD for content servers series Small file I/O processing
Part 6 of HDD for content servers series General I/O processing
Part 7 of HDD for content servers series How HDD continue to evolve over different generations and wrap up
As the platters spin, HDD’s for cloud, virtual and traditional storage environments
How many IOPS can a HDD, HHDD or SSD do?
Hard Disk Drives (HDD) for Virtual Environments
Server and Storage I/O performance and benchmarking tools
Server storage I/O performance benchmark workload scripts Part I and Part II
How to test your HDD, SSD or all flash array (AFA) storage fundamentals
What is the best server storage I/O workload benchmark? It depends
I/O, I/O how well do you know about good or bad server and storage I/Os?
Big Files Lots of Little File Processing Benchmarking with Vdbench
Part II – NVMe overview and primer (Different Configurations)
Part III – NVMe overview and primer (Need for Performance Speed)
Part IV – NVMe overview and primer (Where and How to use NVMe)
Part V – NVMe overview and primer (Where to learn more, what this all means)
PCIe Server I/O Fundamentals
If NVMe is the answer, what are the questions?
NVMe Wont Replace Flash By Itself
Via Computerweekly – NVMe discussion: PCIe card vs U.2 and M.2
Intel and Micron unveil new 3D XPoint Non Volatie Memory (NVM) for servers and storage
Part II – Intel and Micron new 3D XPoint server and storage NVM
Part III – 3D XPoint new server storage memory from Intel and Micron
Server storage I/O benchmark tools, workload scripts and examples (Part I) and (Part II)
Data Infrastructure Overview, Its Whats Inside of Data Centers
All You Need To Know about Remote Office/Branch Office Data Protection Backup (free webinar with registration)
Software Defined, Converged Infrastructure (CI), Hyper-Converged Infrastructure (HCI) resources
The SSD Place (SSD, NVM, PM, SCM, Flash, NVMe, 3D XPoint, MRAM and related topics)
The NVMe Place (NVMe related topics, trends, tools, technologies, tip resources)
Data Protection Diaries (Archive, Backup/Restore, BC, BR, DR, HA, RAID/EC/LRC, Replication, Security)
Software Defined Data Infrastructure Essentials (CRC Press 2017) including SDDC, Cloud, Container and more
Various Data Infrastructure related events, webinars and other activities
www.objectstoragecenter.com and Software Defined, Cloud, Bulk and Object Storage Fundamentals
Server Storage I/O Network PCIe Fundamentals

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

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.

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.

May 19, 2013November 26, 2023

How many I/O iops can flash SSD or HDD do?

How many i/o iops can flash ssd or hdd do with vmware?

Updated 2/10/2018

A common question I run across is how many I/O iopsS can flash SSD or HDD storage device or system do or give.

The answer is or should be it depends.

This is the first of a two-part series looking at storage performance, and in context specifically around drive or device (e.g. mediums) characteristics across HDD, HHDD and SSD that can be found in cloud, virtual, and legacy environments. In this first part the focus is around putting some context around drive or device performance with the second part looking at some workload characteristics (e.g. benchmarks).

What about cloud, tape summit resources, storage systems or appliance?

Lets leave those for a different discussion at another time.

Getting started

Part of my interest in tools, metrics that matter, measurements, analyst, forecasting ties back to having been a server, storage and IO performance and capacity planning analyst when I worked in IT. Another aspect ties back to also having been a sys admin as well as business applications developer when on the IT customer side of things. This was followed by switching over to the vendor world involved with among other things competitive positioning, customer design configuration, validation, simulation and benchmarking HDD and SSD based solutions (e.g. life before becoming an analyst and advisory consultant).

Btw, if you happen to be interested in learn more about server, storage and IO performance and capacity planning, check out my first book Resilient Storage Networks (Elsevier) that has a bit of information on it. There is also coverage of metrics and planning in my two other books The Green and Virtual Data Center (CRC Press) and Cloud and Virtual Data Storage Networking (CRC Press). I have some copies of Resilient Storage Networks available at a special reader or viewer rate (essentially shipping and handling). If interested drop me a note and can fill you in on the details.

There are many rules of thumb (RUT) when it comes to metrics that matter such as IOPS, some that are older while others may be guess or measured in different ways. However the answer is that it depends on many things ranging from if a standalone hard disk drive (HDD), Hybrid HDD (HHDD), Solid State Device (SSD) or if attached to a storage system, appliance, or RAID adapter card among others.

Taking a step back, the big picture

Various HDD, HHDD and SSD’s

Server, storage and I/O performance and benchmark fundamentals

Even if just looking at a HDD, there are many variables ranging from the rotational speed or Revolutions Per Minute (RPM), interface including 1.5Gb, 3.0Gb, 6Gb or 12Gb SAS or SATA or 4Gb Fibre Channel. If simply using a RUT or number based on RPM can cause issues particular with 2.5 vs. 3.5 or enterprise and desktop. For example, some current generation 10K 2.5 HDD can deliver the same or better performance than an older generation 3.5 15K. Other drive factors (see this link for HDD fundamentals) including physical size such as 3.5 inch or 2.5 inch small form factor (SFF), enterprise or desktop or consumer, amount of drive level cache (DRAM). Space capacity of a drive can also have an impact such as if all or just a portion of a large or small capacity devices is used. Not to mention what the drive is attached to ranging from in internal SAS or SATA drive bay, USB port, or a HBA or RAID adapter card or in a storage system.

HDD fundamentals

How about benchmark and performance for marketing or comparison tricks including delayed, deferred or asynchronous writes vs. synchronous or actually committed data to devices? Lets not forget about short stroking (only using a portion of a drive for better IOP’s) or even long stroking (to get better bandwidth leveraging spiral transfers) among others.

Almost forgot, there are also thick, standard, thin and ultra thin drives in 2.5 and 3.5 inch form factors. What’s the difference? The number of platters and read write heads. Look at the following image showing various thickness 2.5 inch drives that have various numbers of platters to increase space capacity in a given density. Want to take a wild guess as to which one has the most space capacity in a given footprint? Also want to guess which type I use for removable disk based archives along with for onsite disk based backup targets (compliments my offsite cloud backups)?

Thick, thin and ultra thin devices

Beyond physical and configuration items, then there are logical configuration including the type of workload, large or small IOPS, random, sequential, reads, writes or mixed (various random, sequential, read, write, large and small IO). Other considerations include file system or raw device, number of workers or concurrent IO threads, size of the target storage space area to decide impact of any locality of reference or buffering. Some other items include how long the test or workload simulation ran for, was the device new or worn in before use among other items.

Tools and the performance toolbox

Then there are the various tools for generating IO’s or workloads along with recording metrics such as reads, writes, response time and other information. Some examples (mix of free or for fee) include Bonnie, Iometer, Iorate, IOzone, Vdbench, TPC, SPC, Microsoft ESRP, SPEC and netmist, Swifttest, Vmark, DVDstore and PCmark 7 among many others. Some are focused just on the storage system and IO path while others are application specific thus exercising servers, storage and IO paths.

Server, storage and IO performance toolbox

Having used Iometer since the late 90s, it has its place and is popular given its ease of use. Iometer is also long in the tooth and has its limits including not much if any new development, never the less, I have it in the toolbox. I also have Futremark PCmark 7 (full version) which turns out has some interesting abilities to do more than exercise an entire Windows PC. For example PCmark can use a secondary drive for doing IO to.

PCmark can be handy for spinning up with VMware (or other tools) lots of virtual Windows systems pointing to a NAS or other shared storage device doing real world type activity. Something that could be handy for testing or stressing virtual desktop infrastructures (VDI) along with other storage systems, servers and solutions. I also have Vdbench among others tools in the toolbox including Iorate which was used to drive the workloads shown below.

What I look for in a tool are how extensible are the scripting capabilities to define various workloads along with capabilities of the test engine. A nice GUI is handy which makes Iometer popular and yes there are script capabilities with Iometer. That is also where Iometer is long in the tooth compared to some of the newer generation of tools that have more emphasis on extensibility vs. ease of use interfaces. This also assumes knowing what workloads to generate vs. simply kicking off some IOPs using default settings to see what happens.

Another handy tool is for recording what’s going on with a running system including IO’s, reads, writes, bandwidth or transfers, random and sequential among other things. This is where when needed I turn to something like HiMon from HyperIO, if you have not tried it, get in touch with Tom West over at HyperIO and tell him StorageIO sent you to get a demo or trial. HiMon is what I used for doing start, stop and boot among other testing being able to see IO’s at the Windows file system level (or below) including very early in the boot or shutdown phase.

Here is a link to some other things I did awhile back with HiMon to profile some Windows and VDI activity test profiling.

What’s the best tool or benchmark or workload generator?

The one that meets your needs, usually your applications or something as close as possible to it.

Various 2.5 and 3.5 inch HDD, HHDD, SSD with different performance

Where To Learn More

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

Can we get a side of context with them IOPS and other storage metrics?
WHEN AND WHERE TO USE NAND FLASH SSD FOR VIRTUAL SERVERS
Revisiting RAID storage remains relevant and resources
NVMe overview and primer – Part I
Part 1 of HDD for content servers series Trends and Content Application Servers
Part 2 of HDD for content servers series Content application server decisions and testing plans
Part 3 of HDD for content servers series Test hardware and software configuration
Part 4 of HDD for content servers series Large file I/O processing
Part 5 of HDD for content servers series Small file I/O processing
Part 6 of HDD for content servers series General I/O processing
Part 7 of HDD for content servers series How HDD continue to evolve over different generations and wrap up
As the platters spin, HDD’s for cloud, virtual and traditional storage environments
How many IOPS can a HDD, HHDD or SSD do?
Hard Disk Drives (HDD) for Virtual Environments
Server and Storage I/O performance and benchmarking tools
Server storage I/O performance benchmark workload scripts Part I and Part II
How to test your HDD, SSD or all flash array (AFA) storage fundamentals
What is the best server storage I/O workload benchmark? It depends
I/O, I/O how well do you know about good or bad server and storage I/Os?
Big Files Lots of Little File Processing Benchmarking with Vdbench
Part II – NVMe overview and primer (Different Configurations)
Part III – NVMe overview and primer (Need for Performance Speed)
Part IV – NVMe overview and primer (Where and How to use NVMe)
Part V – NVMe overview and primer (Where to learn more, what this all means)
PCIe Server I/O Fundamentals
If NVMe is the answer, what are the questions?
NVMe Wont Replace Flash By Itself
Via Computerweekly – NVMe discussion: PCIe card vs U.2 and M.2
Intel and Micron unveil new 3D XPoint Non Volatie Memory (NVM) for servers and storage
Part II – Intel and Micron new 3D XPoint server and storage NVM
Part III – 3D XPoint new server storage memory from Intel and Micron
Server storage I/O benchmark tools, workload scripts and examples (Part I) and (Part II)
Data Infrastructure Overview, Its Whats Inside of Data Centers
All You Need To Know about Remote Office/Branch Office Data Protection Backup (free webinar with registration)
Software Defined, Converged Infrastructure (CI), Hyper-Converged Infrastructure (HCI) resources
The SSD Place (SSD, NVM, PM, SCM, Flash, NVMe, 3D XPoint, MRAM and related topics)
The NVMe Place (NVMe related topics, trends, tools, technologies, tip resources)
Data Protection Diaries (Archive, Backup/Restore, BC, BR, DR, HA, RAID/EC/LRC, Replication, Security)
Software Defined Data Infrastructure Essentials (CRC Press 2017) including SDDC, Cloud, Container and more
Various Data Infrastructure related events, webinars and other activities
www.objectstoragecenter.com and Software Defined, Cloud, Bulk and Object Storage Fundamentals
Server Storage I/O Network PCIe Fundamentals

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

What This All Means

That depends, however continue reading part II of this series to see some results for various types of drives and workloads.

Ok, nuff said, for now.

May 7, 2013March 7, 2022

EMC ViPR software defined object storage part III

Storage I/O trends

This is part III in a series of posts pertaining to EMC ViPR software defined storage and object storage. You can read part I here and part II here.

EMCworld

More on the object opportunity

Other object access includes OpenStack storage part Swift, AWS S3 HTTP and REST API access. This also includes ViPR supporting EMC Atmos, VNX and Isilon arrays as southbound persistent storage in addition.

object storage
Object (and cloud) storage access example

EMC is claiming that over 250 VNX systems can be abstracted to support scaling with stability (performance, availability, capacity, economics) using ViPR. Third party storage will be supported along with software such as OpenStack Swift, Ceph and others running on commodity hardware. Note that EMC has some history with object storage and access including Centera and Atmos. Visit the micro site I have setup called www.objectstoragecenter.com and watch for more content to be updated and added there.

More on the ViPR control plane and controller

ViPR differs from some others in that it does not sit in the data path all the time (e.g. between application servers and storage systems or cloud services) to cut potential for bottlenecks.

ViPR architecture

Organizations that can use ViPR include enterprise, SMB, CSP or MSP and hosting sites. ViPR can be used in a control mode to leverage underlying storage systems, appliances and services intelligence and functionality. This means ViPR can be used to complement as oppose to treat southbound or target storage systems and services as dumb disks or JBOD.

On the other hand, ViPR will also have a suite of data services such as snapshot, replication, data migration, movement, tiering to add value for when those do not exist. Customers will be free to choose how they want to use and deploy ViPR. For example leveraging underlying storage functionality (e.g. lightweight model), or in a more familiar storage virtualization model heavy lifting model. In the heavy lifting model more work is done by the virtualization or abstraction software to create an added value, however can be a concern for bottlenecks depending how deployed.

Software defined, storage hypervisor, virtual storage or storage virtualization?

Most storage virtualization, storage hypervisors and virtual storage solutions that are hardware or software based (e.g. software defined) implemented what is referred to as in band. With in band the storage virtualization software or hardware sits between the applications (northbound) and storage systems or services (southbound).

While this approach can be easier to carry out along with add value add services, it can also introduce scaling bottlenecks depending on implementations. Examples of in band storage virtualization includes Actifio, DataCore, EMC VMAX with third-party storage, HDS with third-party storage, IBM SVC (and their V7000 Storwize storage system based on it) and NetApp Vseries among others. An advantage of in band approaches is that there should not need to be any host or server-side software requirements and SAN transparency.

There is another approach called out-of-band that has been tried. However pure out-of-band requires a management system along with agents, drivers, shims, plugins or other software resident on host application servers.

Example of generic fast path control path model

ViPR takes a different approach, one that was seen a few years ago with EMC Invista called fast path, control path that for the most part stays out of the data path. While this is like out-of-band, there should not be a need for any host server-side (e.g. northbound) software. By being a fast path control path, the virtualization or abstraction and management functions stay out of the way for data being moved or work being done.

Hmm, kind of like how management should be, there to help when needed, out-of-the-way not causing overhead other times ;).

Is EMC the first (even with Invista) to leverage fast path control path?

Actually up until about a year or so ago, or shortly after HP acquired 3PAR they had a solution called Storage Virtualization Services Platform (SVPS) that was OEMd from LSI (e.g. StorAge). Unfortunately, HP decided to retire that as opposed to extend its capabilities for file and object access (northbound) as well as different southbound targets or destination services.

Whats this northbound and southbound stuff?

Simply put, think in terms of a vertical stack with host servers (PMs or VMs) on the top with applications (and hypervisors or other tools such as databases) on top of them (e.g. north).

software defined storage
Northbound servers, southbound storage systems and cloud services

Think of storage systems, appliances, cloud services or other target destinations on the bottom (or south). ViPR sits in between providing storage services and management to the northbound servers leveraging the southbound storage.

What host servers can VIPR support for serving storage?

VIPR is being designed to be server agnostic (e.g. virtual or physical), along with operating system agnostic. In addition VIPR is being positioned as capable of serving northbound (e.g. up to application servers) block, file or object as well as accessing southbound (e.g. targets) block, file and object storage systems, file systems or services.

Note that a difference between earlier similar solutions from EMC have been either block based (e.g. Invista, VPLEX, VMAX with third-party storage), or file based. Also note that this means VIPR is not just for VMware or virtual server environments and that it can exist in legacy, virtual or cloud environments.

ViPR image

Likewise VIPR is intended to be application agnostic supporting little data, big data, very big data ( VBD) along with Hadoop or other specialized processing. Note that while VIPR will support HDFS in addition to NFS and CIFS file based access, Hadoop will not be running on or in the VIPR controllers as that would live or run elsewhere.

How will VIPR be deployed and licensed?

EMC has indicated that the VIPR controller will be delivered as software that installs into a virtual appliance (e.g. VMware) running as a virtual machine (VM) guest. It is not clear when support will exist for other hypervisors (e.g. Microsoft Hyper-V, Citrix/XEN, KVM or if VMware vSphere with vCenter or simply on ESXi free version). As of the announcement pre briefing, EMC had not yet finalized pricing and licensing details. General availability is expected in the second half of calendar 2013.

Keep in mind that the VIPR controller (software) runs as a VM that can be hosted on a clustered hypervisor for HA. In addition, multiple VIPR controllers can exist in a cluster to further enhance HA.

Some questions to be addressed among others include:

How and where are IOs intercepted?
Who can have access to the APIs, what is the process, is there a developers program, SDK along with resources?
What network topologies are supported local and remote?
What happens when JBOD is used and no advanced data services exist?
What are the characteristics of the object access functionality?
What if any specific switches or data path devices and tools are needed?
How does a host server know to talk with its target and ViPR controller know when to intercept for handling?
Will SNIA CDMI be added and when as part of the object access and data services capabilities?
Are programmatic bindings available for the object access along with support for other APIs including IOS?
What are the performance characteristics including latency under load as well as during a failure or fault scenario?
How will EMC place Vplex and its caching model on a local and wide area basis vs. ViPR or will we see those two create some work together, if so, what will that be?

Bottom line (for now):

Good move for EMC, now let us see how they execute including driving adoption of their open APIs, something they have had success in the past with Centera and other solutions. Likewise, let us see what other storage vendors become supported or add support along with how pricing and licensing are rolled out. EMC will also have to articulate when and where to use ViPR vs. VPLEX along with other storage systems or management tools.

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)
twitter @storageio

May 7, 2013March 7, 2022

EMC ViPR software defined object storage part II

Storage I/O trends

This is part II in a series of posts pertaining to EMC ViPR software defined storage and object storage. You can read part I here and part III here.

EMCworld

Some questions and discussion topics pertaining to ViPR:

Whom is ViPR for?

Organizations that need to scale with stability across EMC, third-party or open storage software stacks and commodity hardware. This applies to large and small enterprise, cloud service providers, managed service providers, virtual and cloud environments/

What this means for EMC hardware/platform/systems?

They can continue to be used as is, or work with ViPR or other deployment modes.

Does this mean EMC storage systems are nearing their end of life?

IMHO for the most part not yet, granted there will be some scenarios where new products will be used vs. others, or existing ones used in new ways for different things.

As has been the case for years if not decades, some products will survive, continue to evolve and find new roles, kind of like different data storage mediums (e.g. ssd, disk, tape, etc).

How does ViPR work?

ViPR functions as a control plane across the data and storage infrastructure supporting both north and southbound. northbound refers to use from or up to application servers (physical machines PM and virtual machines VMs). southbound refers target or destination storage systems. Storage systems can be traditional EMC or third-party (NetApp mentioned as part of first release), appliances, just a bunch of disks (JBOD) or cloud services.

Some general features and functions:

Provisioning and allocation (with automation)
Data and storage migration or tiering
Leverage scripts, templates and workbooks
Support service categories and catalogs
Discovery, registration of storage systems
Create of storage resource pools for host systems
Metering, measuring, reporting, charge or show back
Alerts, alarms and notification
Self-service portal for access and provisioning

ViPR data plane (adding data services and value when needed)

Another part is the data plane for implementing data services and access. For block and file when not needed, ViPR steps out-of-the-way leveraging the underlying storage systems or services.

Object storage access

When needed, the ViPR data plane can step in to add added services and functionality along with support object based access for little data and big data. For example, Hadoop Distributed File System (HDFS) services can support northbound analytic software applications running on servers accessing storage managed by ViPR.

Continue reading in part III of this series here including how ViPR works, who it is for and more analysis.

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)
twitter @storageio

May 6, 2013January 1, 2022

EMC ViPR virtual physical object and software defined storage (SDS)

Storage I/O trends

Introducing EMC ViPR

This is the first in a three part series, read part II here, and part III here.

During the recent EMCworld event in Las Vegas among other things, EMC announced ViPR (read announcement here) . Note that this ViPR is not the same EMC Viper project from a few years ago that was focused on data footprint reduction (DFR) including dedupe. ViPR has been in the works for a couple of years taking a step back rethinking how storage is can be used going forward.

EMCworld

ViPR is not a technology creation developed in a vacuum instead includes customer feedback, wants and needs. Its core themes are extensible, open and scalable.

EMCworld

On the other hand, ViPR addresses plenty of buzzword bingo themes including:

Agility, flexibility, multi-tenancy, orchestration
Virtual appliance and control plane
Data services and storage management
IT as a Service (ITaaS) and Infrastructure as a Service (IaaS)
Scaling with stability without compromise
Software defined storage
Public, private, hybrid cloud
Big data and little data
Block, file and object storage
Control plane and data plane
Storage hypervisor, virtualization and virtual storage
Heterogeneous (third-party) storage support
Open API and automation
Self-service portals, service catalogs

Buzzword bingo

Note that this is essentially announcing the ViPR product and program initiative with general availability slated for second half of 2013.

What is ViPR addressing?

IT and data infrastructure (server, storage, IO and networking hardware, software) challenges for traditional, virtual and cloud environments.

Data growth, after all, there is no such thing as an information recession with more data being generated, moved, processed, stored and retained for longer periods of time. Then again, people and data are both getting larger and living longer, for both little data and big data along with very big data.

Overhead and complexities associated with managing and using an expanding, homogenous (same vendor, perhaps different products) or heterogeneous (different vendors and products) data infrastructure across cloud, virtual and physical, legacy and emerging. This includes add, changes or moves, updates and upgrades, retirement and replacement along with disposition, not to mention protecting data in an expanding footprint.

road to cloud

Operations and service management, fault and alarm notification, resolution and remediation, rapid provisioning, removing complexity and cost of doing things vs. simply cutting cost and compromising service.

EMC ViPR

What is this software defined storage stuff?

There is the buzzword aspect, and then there is the solution and business opportunity.

First the buzzword aspect and bandwagon:

Software defined marketing (SDM) Leveraging software defined buzzwords.

Software defined data centers (SDDC) Leveraging software to derive more value from hardware while enabling agility, flexibility, and scalability and removing complexity. Think the Cloud and Virtual Data Center models including those from VMware among others.

Software defined networking (SDN) Rather than explain, simply look at Nicira that VMware bought in 2012.

Software defined storage (SDS) Storage software that is independent of any specific hardware, which might be a bit broad, however it is also narrower than saying anything involving software.

Software defined BS (SDBS) Something that usually happens as a result when marketers and others jump on a bandwagon, in this case software defined marketing.

Note that not everything involved with software defined is BS, only some of the marketing spins and overuse. The downside to the software defined marketing and SDBS is the usual reaction of skepticism, cynicism and dismissal, so let us leave the software defined discussion here for now.

software defined storage

An example of software defined storage can be storage virtualization, virtual storage and storage hypervisors that are hardware independent. Note that when I say hardware independent, that also means being able to support different vendors systems. Now if you want to have some fun with the software defined storage diehards or purist, tell them that all hardware needs software and all software needs hardware, even if virtual. Further hardware is defined by its software, however lets leave sleeping dogs lay where they rest (at least for now ;)).

Storage hypervisors were a 2012 popular buzzword bingo topic with plenty of industry adoption and some customer deployment. While 2012 saw plenty of SDM buzz including SDC, SDN 2013 is already seeing an increase including software defined servers, and software defined storage.

Regardless of what you view of software defined storage, storage hypervisor, storage virtualization and virtual storage is, the primary focus and goal should be addressing business and application needs. Unfortunately, some of the discussions or debates about what is or is not software defined and related themes lose focus of what should be the core goal of enabling business and applications.

Continue reading in part II of this series here including how ViPR works, who it is for and more analysis.

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)
twitter @storageio

April 29, 2013March 7, 2022

April 2013 Server and StorageIO Update Newsletter

April 2013 News letter

Welcome to the April 2013 edition of the StorageIO Update. This edition includes more on nand flash SSD, after all its not if, rather when, where, why, with what along with how much SSD is in your future. Also more on object storage, clouds, big data and little data, HDDs, SNW, backup/restore, HA, BC, DR and data protection along with data center topics and trends.

You can get access to this news letter via various social media venues (some are shown below) in addition to StorageIO web sites and subscriptions.

Click on the following links to view the April 2013 edition as (HTML sent via Email) version, or PDF versions.

Visit the news letter page to view previous editions of the StorageIO Update.

You can subscribe to the news letter by clicking here.

Enjoy this edition of the StorageIO Update news letter, let me know your comments and feedback.

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)
twitter @storageio

April 23, 2013June 7, 2022

Spring SNW 2013, Storage Networking World Recap

Storage I/O trends

A couple of weeks ago I attended the spring 2013 Storage Networking World (SNW) in Orlando Florida. Talking with SNIA Chairman Wayne Adams and SNIA Director Leo Legar this was the 28th edition of the US SNW (two shows a year), plus the international ones. While I have not been to all 28 of the US SNWs, I have been to a couple of dozen SNWs in the US, Europe and Brazil going back to around 2001 as an attendee, main stage as well as breakout, and tutorial presenter (see here and here).

SNW image

For the spring 2013 SNW I was there for a mix of meetings, analyst briefings, attending the expo, doing some podcasts (see below), meeting with IT professionals (e.g. customers), VARs, vendors along with presenting three sessions (you can download them and others backup, restore, BC, DR and archiving).

Some of the buzz and themes heard included big data was a little topic at the event, while cloud was in the conversations, dedupe and data footprint reduction (DFR) do matter for some people and applications. However also a common theme with customers including Media and Entertainment (M&E) is that not everything can be duped thus other DFR approaches are needed.

There was some hype in and around hybrid storage along with storage hypervisors, which was also an entertaining panel discussion with HDS (Claus Mikkelsen aka @YoClaus), Datacore, IBM and Virstro.

The theme of that discussion seemed for the most part to gravitate towards realities of storage virtualization and less about the hypervisor hype. Some software defined marketing hype I heard is that it is impossible to spend more than a million dollars on a server today. I guess with the applicable caveats, qualifiers and context that could be true, however I also know some vendors and customers that would say otherwise.

Lunch
Lunchtime at SNW Spring 2013

Not surprisingly, there was an increase in vendors wanting to jump on the software defined and object storage bandwagons; however, customers tended to be curious at best, confused or concerned otherwise. Speaking of object storage, check out this podcast discussion with Cleversafe customer Justin Stottlemyer of Shutterfly and his 80PB environment.

In addition to Cleversafe, heard from Astute (if you need fast iSCSI storage check them out), Avere has a new NAS for dummies book out, Exablox a storage system startup with emphasis on scalability, ease of use and NAS access and hybrid storage Tegile. Also, check out SwifTest for generating application workloads and measurement that had their customer Go Daddy presenting at the event. A couple of others to keep an eye on include Raxco with their thin provision storage reclamation tool, and Infinio with their NAS acceleration for VMware software tools among others.

backup, restore, BC, DR and archiving

Here are the three presentations that I did while at the event:

Analyst Perspective: Increase Your Return on Innovation (The New ROI) With Data Management and Dedupe
There is no such thing as an information recession with more data to move, process and store, however there are economic challenges. Likewise, people and data are living longer and getting larger which requires leveraging data footprint reduction (DFR) techniques on a broader focus. It is time to move upstream finding and fixing things at the source to reduce the downstream impact of expanding data footprints, enabling more to be done with what you have.

Analyst Perspective: Metrics that Matter – Meritage of Data Management and Data Protection
Not everything in the data center or information factory is the same. This session recaps and builds off the morning increase your ROI with data footprint and data management session while setting the stage for the rethinking data protection (backup, BC and DR). Are you maximizing the return on innovation in how using new tools and technology in new ways, vs. using new tools in old ways? Also discussed performance capacity planning, forecasting analysis in cloud, virtual and physical environments. Without metrics that matter, you are flying blind, or perhaps missing opportunities to further drive your return on innovation and return on investment.

Analyst Perspective: Time to Rethink Data Protection Including BC and DR
When it comes to today’s data centers and information factories including physical, virtual and cloud, everything is not the same, so why treat business continuance (BC), disaster recovery (DR) and data protection in general the same? Simply using new tools, technologies and techniques in the same old ways is no longer a viable option. Since there is no such thing as a data or information recession, yet there are economic and budget challenges, along with new or changing threat risks, now is the time to review data protection including BC and DR including using new technologies in new ways.

You can view the complete SNW USA spring 2013 agenda here.

Podcasts are also available on

Here are links to some podcasts from spring 2013 SNW:
Stottlemyer of Shutterfly and object storage discussion
Dave Demming talking tech education from SNW Spring 2013
Farley Flies into SNW Spring 2013
Talking with Tony DiCenzo at SNW Spring 2013
SNIA Spring 2013 update with Wayne Adams
SNIA’s new SPDEcon conference

Also, check out these podcasts from fall 2012 US and Europe SNWs:
Ben Woo on Big Data Buzzword Bingo and Business Benefits
Networking with Bruce Ravid and Bruce Rave
Industry trends and perspectives: Ray Lucchesi on Storage and SNW
Learning with Leo Leger of SNIA
Meeting up with Marty Foltyn of SNIA
Catching up with Quantum CTE David Chapa (Now with Evault)
Chatting with Karl Chen at SNW 2012
SNW 2012 Wayne’s World
SNW Podcast on Cloud Computing
HDS Claus Mikkelsen talking storage from SNW Fall 2012

Storage I/O trends

What this all means?

While busy, I liked this edition of SNW USA in that it had a great agenda with diversity and balance of speaker sessions (some tutorials, some vendors, some IT customers, and some analysts) vs. too many of one specific area.

In addition to the agenda and session length, the venue was good, big enough, however not spread out so much to cause loss of the buzz and energy of the event.

This SNW had some similar buzz or energy as early versions granted without the hype and fanfare of a startup industry or focus area (that would be some of the other events today)

Should SNW go to a once a year event?

While it would be nice to have a twice a year venue for convenience, practicality and budgets say once would be enough given all the other conferences and venues on the agenda (or that could be).

The next SNW USA will be October 15 to 17 2013 in Long Beach California, and Europe in Frankfurt Germany October 29-30 2013.

Thanks again to all the attendees, participants, vendor exhibitors, event organizers and SNIA, SNW/Computerworld staffs for another great event.

Ok, nuff said

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)
twitter @storageio

April 21, 2013January 23, 2019

How a pressure cooker should be used for good things

Storage I/O cloud virtual and big data perspectives

First, let me say condolences to those and their families that were killed and/or injured in the tragic terrorist act at the Boston marathon bombings this past week.

Second, let me say thank you and congratulations to all of those involved in capturing one of the suspects and terminating another. This also goes to all of those who helped with tips and sending in large amounts of photos, video and other big data that was and is being used by investigators.

Also best wishes to the prosecutors and their forensic investigators to tie the pieces together bringing the captured suspect to justice including determining a motive.

Of course, also speedy recovery to those maimed or injured by the pressure cooker bombs.

Let us talk about pressure cookers, and not in how they were used in a bad way last week in Boston.

Pressure cookers when used properly for what they are designed for can be used for making good things.

Cold snowy day
Cold April Saturday, good day to make ham soup.

I used my pressure cooker the other day to make ham, barley vegetable soup with kale.

The reason I use pressure cookers is to make soups, stocks, sauces or other things in a shorter amount of time while boosting flavors. For example with a soup or stock, instead of simmering for hours, I can get the results needed in 10-20 minutes, granted, the longer simmer is better if time allows. Instead of taking all day to make lunch, or getting up really early, simple solution, use the pressure cooker.

As their name implies, pressure cookers transfer heat and liquid into steam pressure which combine for more concentrated cooking in a shorter amount of time while keeping moisture and flavors in.

cooking wusthoff knive
I use a 26cm Wusthof chef knife kept sharp to safely speed up prep

So after doing my prep (cutting, dicing, chopping) of onions, celery, carrots, potato, parsnips (these are so underrated, under appreciated), apple, ginger and garlic, time to brown the Ham in the pressure cooker (I realized this should have been done with video, ok, next time).

After browning the Ham bone and pieces (not burning) with a bit of grape seed oil (olive oil will burn if too hot) remove and set aside. Then add chopped onions, celery, parsnip, carrot and ginger to brown, then de glaze with some white wine (I used a pinot grigio). While waiting for the vegetables to lightly brown or caramelized, cut up the ham into smaller pieces (e.g. bite sized) before putting them back in the pressure cooker.

pressure coolking
Cooking with my Boston Bruins shirt (Go Bs)

Season with some black pepper (hold off on the salt for now as you are working with Ham), add in the apple, garlic, can of diced tomatoes (or fresh), some bay leaves, oregano, cup of uncooked barley, the ham pieces and about a quart or so of good low sodium liquid chicken stock. Pay attention to how full the pressure cooker is (there should be a full fill line to serve as a guide), bring to simmer and cover per your manufactures directions.

Pressure cooker details

I gave the cooker about 20 minute once it pressurized cooking on medium heat, just enough to keep up the pressure. Too high of temperature and the pressure builds too much and will be a problem, too low and you will lose pressure, follow your manufactures instructions.

DO NOT ATTEMPT TO REMOVE COVER WHILE UNDER PRESSURE BAD THINGS WILL HAPPEN!

Do not be scared, be prepared and informed along with safe.

Here is the result of how something good can be accomplished with pressure cookers.

pressure cooker ham soup

At this point in the process I add some chopped up kale and let sit and get happy in the food hut tub of fun (see photo), then plate, top with some cheese and enjoy.

Do not be scared of pressure cookers.

Like electricity, or other tools for cooking or technology including clouds, have respect for them, understand what to do and not do, best practices, safety which can result in good experiences.

Any tool or technology used in the wrong way can result in bad things.

Learn more about pressure cooker cooking by Googling or using your favorite search tool.

pressure cooker ham soup

This is how pressure cookers should be used, that is for good things.

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)
twitter @storageio

April 17, 2013November 26, 2023

Dave Demming talking tech education from SNW Spring 2013

Now also available via

This is a new episode in the continuing StorageIO industry trends and perspectives pod cast series (you can view more episodes or shows along with other audio and video content here) as well as listening via iTunes or via your preferred means using this RSS feed (https://storageio.com/StorageIO_Podcast.xml)

Storage I/O trends

In this episode from SNW Spring 2013in Orlando Florida, Bruce Ravid (@BruceRave) and me visit with our guest long time storage industry educator Dave Demming of Solution Technology.

Our conversation covers learning and education, from instructor lead to self paced, now and in the future. We also discuss how to learn and transfer knowledge, self-improvement and career development, time management, SNIA and SNW along with FCIA, industry trends. Also discussed are music to learn with, expanding spheres of influence (and here) and keeping the mind active among other things.

Speaking of learning new things, Dave tells us of a great new musician named Lindsey Stirling that you can check out at Amazon.com (I already bought a copy).

Click here (right-click to download MP3 file) or on the microphone image to listen to the conversation with Dave Demming.

Also available via

Watch (and listen) for more StorageIO industry trends and perspectives audio blog posts pod casts and other upcoming events. Also be sure to heck out other related pod casts, videos, posts, tips and industry commentary at StorageIO.com and StorageIOblog.com.

Enjoy this episode from SNW Spring 2013 with Dave Demming.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

April 17, 2013March 7, 2022

HDS Claus Mikkelsen talking storage from SNW Fall 2012

Now also available via

Storage I/O cloud virtual and big data perspectives

In this episode from SNW Fall 2012 in Santa Clara, I am joined by my co-host Bruce Ravid (@BruceRave) of Ravid and Associates as we catch up with long time storage industry veteran Claus Mikkelsen (@YoClaus) and HDS Chief Scientist.

Bruce and Claus meet for the first time having been around and probably passed each other in the halls at various events, hence, its a small world, however there is always opportunity to meet somebody new. We also chat about SNW past and present, data storage, technologies, networking with people, travel and of course with Claus, touch on wine.

Note that Claus and me were apart of a consortium of people that collaborated on the original book The Resilient Enterprise released in spring of 2012 published by Veritas. Ok, nuff said.

Click here (right-click to download MP3 file) or on the microphone image to listen to the conversation with Claus Mikkelsen.

Also available via

Enjoy this episode from SNW Fall 2013 with Claus Mikkelsen.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

April 9, 2013November 26, 2023

Introducing Josh Apter and the Padcaster from NAB 2013

Now also available via

Storage I/O cloud virtual and big data perspectives

Some times simplicity and flexibility without complexity (and cost) are the enablers for innovation and productivity.

Image of The padcaster from NAB 2013

In this episode from NAB 2013 in Las Vegas (more on that in a future post), I meet up with the Padcaster (@ThePadcaster) creator Josh Apter (@PJmakemovies).

Image of The padcaster from NAB 2013

The Padcaster (both the name of the company and product) is a mounting bracket for iPads (among other things) that enables you to safely attach lights, lenses, microphones, tripods among other things to create a production studio.

Click here (right-click to download MP3 file) or on the microphone image to listen to the conversation with Josh Apter.

Also available via

Enjoy this episode from NAB 2013 with Josh Apter and the Padcaster and check out their website www.thepadcaster.com. See if they will give you the NAB show special price, tell them Greg from StorageIO sent you.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

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