March 31 is [World Backup Day]!
Recently, a client asked how to backup their IBM PureData System for Analytics devices. IBM had [acquired Netezza in November 2010], and later renamed their TwinFin devices as the IBM PureData for Analytics, powered by Netezza.
The [IBM PureData System for Analytics] is incredibly fast for performing deep, ad-hoc analytics. However, the people who use them are "data scientists", not backup experts.
Likewise, there are backup administrators who may not be familiar with the unique characteristics of this expert-integrated system to know what backup options are available.
As with the rest of the IBM PureSystems line, the IBM PureData System for Analytics (or, PDA for short) has a combination of servers, storage and switches inside.
In a full-frame PDA, there are two servers in Active/Passive mode, these coordinate activity to FPGA-based blade servers, which have parallel access to hundreds of disk drives, storing nearly 200 TB of compressed database data. A system can span up to four frames.
But what do you backup? And why? You don't need to worry about backing up the Linux operating system or NPS server code, that is considered firmware and if anything every got corrupted, IBM would help restore it for you. System-wide metadata, such as the host catalog and global users, groups, and permissions should be backed up periodically to protect against data corruption.
There are a number of reasons to backup your user databases:
The PDA has three backup formats. You can backup the entire user database in compressed format, backup individual tables in compressed format, or export to a text-format file.
Compressed format is faster, but can only be restored to the same PDA, or a PDA that has the same or higher level of NPS firmware. The text-format is slower, but can be used to restore to lower levels of NPS firmware, or to other database systems.
There are basically two methods to backup your PDA. The first is called the "Filesystem" method. Basically, you can attach an external storage device to the NPS server, and use the built-in command line interface (CLI) to store the backups onto its file system.
You may find that your databases are so large, they will exceed the limits of the filesystem on the external storage device. For SAN or NAS deployments, I recommend the IBM Storwize V7000 Unified with IBM General Parallel File System (GPFS). However, if you are using something else, you may need to use the "nz_backup" scripts provided which split up the backup images into smaller pieces that most other filesystems can handle.
The PDA comes with 10GbE Ethernet ports that you can attach a NAS storage device over a Local Area Network (LAN), or add Fibre Channel Protocol (FCP) ports and connect over a Storage Area Network (SAN). To keep things simple, I will refer to whichever network you decide as the "Backup Network" in the drawings.
The second method for backup is called the "External Backup Software" method. As you have probably guessed, it involves sending the backups to a supported software product like IBM Tivoli Storage Manager (or, TSM for short).
In this case, the PDA acts as a client node, similar to a laptop, desktop, or application server with internal disk. Backup data is sent over the LAN to the designated TSM server, and the TSM server in turn writes over the SAN to its storage hierarchy of disk, virtual tape and/or physical tape resources.
Backups can be done by command "on demand", or automated on a schedule. For the /nz/data directory, direct the nzhostbackup command to send the backup copy to local disk, then use TSM's dsmc archive command to transfer this backup copy to the TSM server.
For nzbackup with the users or db parameters, you can send the data directly to the appropriate TSM server by specifying the connector and connectorArgs parameters.
To reduce traffic on the TSM Server, an intermediary "TSM Proxy Node" can be put in between. In this case, the PDA sends the backup to the Proxy Node, the Proxy Node uses a "LAN Free Storage Agent" to send the backups directly to the virtual tape and/or physical tape, and then notifies the TSM Server to updates its system catalog to record which tape holds these new backups.
Another configuration involves installing the TSM LAN Free storage agent directly on the PDA. While this will require FCP ports to be added and consume more CPU resources on the NPS server, it eliminates most of the LAN traffic, allowing the PDA to send its backups directly to virtual or physical tape.
To learn more about this, see my full presentation [Backup Options: IBM PureData System for Analytics, powered by Netezza] on the IBM Expert Network powered by SlideShare, or attend the upcoming [IBM Edge 2014] conference in Las Vegas, May 19-23. I will be there!
technorati tags: IBM, Netezza, PureData, PureData for Analytics, PDA, World Backup Day, Backup, NPS, nzhostbackup, nzbackup, expert-integrated, Tivoli, Tivoli Storage Manager, TSM, dsmc, #ibmedge, Slideshare
If Eskimos have 37 words for "snow", then EMC has perhaps a similar number of names for "failure". I have already covered a few of their past attempts, including [ATMOS], [Invista], and [VPLEX]. Last week, EMC introduced its latest, called XtremeIO.
But rather than focus on XtremeIO's many shortcomings, I thought it would be better to point out the highlights of IBM's All-Flash array, IBM FlashSystem.
But first, a quick story.
Two years ago, I worked the booth at [Oracle OpenWorld 2011]. After a conference attendee had visited the booths of Violin Memory and Pure Storage, he asked me why IBM did not have an all-Flash array.
Since then, IBM has added 800GB support to the Storwize V7000, doubling the capacity. More importantly, IBM acquired Texas Memory Systems, and offers a much better all-Flash array.
Flash can be deployed in three levels. The first is in the server itself, such as with PCiE cards containing Flash chips, limited to applications running on that server only.
The second option is a hybrid disk system, that can intermix Flash-based Solid State Drives (SSD) with regular spinning hard disk drives (HDD). These can be attached to many servers.
The problem with this approach is that when Flash is packaged to pretend to be spinning disk, it undermines some of the performance benefits. Traditional disk system architectures using SCSI commands over Device adapter loops can introduce added latency.
The third fits snuggly in the middle: all-Flash arrays designed from the ground up to be only Flash.
Whereas SSD can typically achieve an I/O latency in the 300 to 1000 microseconds range, IBM FlashSystem can process I/O in the 25 to 110 microsecond range. That is a huge difference!
(FTC Disclosure: The U.S. Federal Trade Commission requires that I mention that I am an IBM employee, and that this post may be considered a paid, celebrity endorsement of both the IBM FlashSystem and IBM Storwize family of products. I have no financial interest in EMC, do not endorse the XtremeIO mentioned here, and was not paid to mention their company or products in any manner.)
Fellow blogger and IBM Master Inventor Barry Whyte has a great comparison table in his blog post [Extreme Blogging]. I thought I would add an added column for the Storwize V7000 with 18 Solid State drives.
While it is easy to show that EMC's XtremeIO does not hold a candle to IBM FlashSystems, I think it is more amusing that it is not even as good as a Storwize V7000 with SSD that IBM offered two years ago, long before [EMC acquired XtremeIO company] back in May 2012.
But don't just take my word for it, fellow blogger Robin Harris, on his StorageMojo blog, has several posts, including [EMC's Xtreme embarrassment] and [ XtremLY late XtremIO launch]. Both are worth a read.
Earlier this year, [IBM announced it is investing $1 Billion USD in Flash technology]. EMC's announcement last week shows that they are at least 18 months behind IBM in Flash technology solutions.
This week I am in IBM Research Triangle Park (RTP) near Raleigh, NC visiting clients and participating in the ITSO Cloud Social Media Residency.
This blog post is part of a five-part series:
The first day of the residency started with introductions. Our emcee and project leader is Vasfi Gucer from IBM Austin lab. There are 17 participants (referred to as "residents") from the USA and various countries including Brazil, Canada and Sweden.
Michael Fork presenting. I am sitting on the far left side
in the pink shirt. Photo taken by Tina Williams.
To set the right expectations, Tina Williams (IBM Social Media ITSO Projects Program Manager) explained what was going to happen this week.
In a typical "residency", residents are brought together for 4-6 weeks to write an [IBM Redbook] which are often how-to guides written in a very conversational tone.
This residency is different. A bunch of social media and Cloud experts have been brought together to share experiences and to build up skills to write individual blog posts about IBM Cloud offerings. I was invited as both a world-reknown blogger as well as a Cloud expert. Everyone who signed up for this commits to write at least six blog posts about Cloud sometime in the next 90 days.
(Residents who do not have their own blogs can post to the IBM [Thoughts on Cloud] group blog Publishing is part of our promotion process, and writing blogs consistently over a period of time counts!)
Jennifer Turner (IBM Worldwide Cloud Marketing Manager) explained IBM Cloud Social Media Initiative. Five years ago, IBM was one of the top 5 Cloud service providers, then a whole bunch of things happened, and we fell out of the top 5 list, and now with the recent [IBM acquisition of SoftLayer], we are in the top 5 again!
Michael Fork (IBM CloudFirst Lead Architect), presented the latest about SoftLayer. Wow! He did a great job, and am glad to have him as a contact in case I have future questions from clients at the Tucson Executive Briefing Center.
Mohsin Syed [@mohsinusyed], IBM Development Manager, presented [IBM Social Media Analytics], combining Hadoop-style analytics using IBM BigInsights, DB2 database and Cognos reporting. IBM can do [sentiment analysis] to determine positive and negative comments in various languages. This product was formerly known as Cognos Consumer Insight.
I was the last speaker of the day. As one of the top bloggers in both the IT Storage Industry, and company-wide within IBM, I was invited to provide a few tips on blogging to the newbies in the audience. Jeff Antley, the "co-owner" of my blog [Inside System Storage] who works on the IBM developerWorks team, was there on hand to help answer questions.
(IBM requires all highly-visible corporate blogs like mine to have at least two owners. Jeff is an expert at HTML, CSS and other web design and has been immensely helpful in getting my blog looking nicer.)
Everybody asks me how to be a great blogger. Luckily, I just happened upon a post from fellow blogger David Spark of Spark Media Solutions titled [Why I'm Annoyed By All "How to Create Great Content" Advice] and it was perfect timing!
Anyways, my presentation [A dozen blogging tips from an experienced blogger] is posted on the IBM Expert Network on SlideShare for everyone to look at. And yes, SlideShare runs on IBM SoftLayer!
What's the best, or worst, advice you have ever heard about blogging? Enter your comments below!
technorati tags: IBM, #cloudres, ITSO, Redbook, Vasfi Gucer, Michael Fork, Tina Williams, Jennifer Turner, Mohsin Syed, Jeff Antley, David Sparks, Spark Media Solutions, IBM Expert Network, SlideShare
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Well it's Tuesday again, and you know what that means.. IBM announcements! Today, IBM announces that next Monday marks the 60th anniversary of first commercial digital tape storage system! I am on the East coast this week visiting clients, but plan to be back in Tucson in time for the cake and fireworks next Monday.
Note that I said first commercial tape system as tape itself, in various forms, [has been around since 4000 B.C.]. A little historical context might help:
According to the IBM Archives the [IBM 726 tape drive was formally announced May 21, 1952]. It was the size of a refrigerator, and the tape reel was the size of a large pizza. The next time you pull a frozen pizza from your fridge, you can remember this month's celebration!
When I first joined IBM in 1986, there were three kinds of IBM tape. The round reel called 3420, and the square cartridge called 3480, and the tubes that contained a wide swath of tape stored in honeycomb shelves called the [IBM 3850 Mass Storage System].
My first job at IBM was to work on DFHSM, which was specifically started in 1977 to manage the IBM 3850, and later renamed to the DFSMShsm component of the DFSMS element of the z/OS operating system. This software was instrumental in keeping disk and tape at high 80-95 percent utilization rates on mainframe servers.
While visiting a client in Detroit, the client loved their StorageTek tape automation silo, but didn't care for the StorageTek drives inside were incompatible with IBM formats. They wanted to put IBM drives into the StorageTek silos. I agreed it was a good idea, and brought this back to the attention of development. In a contentious meeting with management and engineers, I presented this feedback from the client.
Everyone in the room said IBM couldn't do that. I asked "Why not?" The software engineers I spoke to already said they could support it. With StorageTek at the brink of Chapter 11 bankruptcy, I argued that IBM drives in their tape automation would ease the transition of our mainframe customers to an all-IBM environment.Was the reason related to business/legal concerns, or was their a hardware issue? It turned out to be a little of both. On the business side, IBM had to agree to work with StorageTek on service and support to its mutual clients in mixed environments. On the technical side, the drive had to be tilted 12 degrees to line up with the robotic hand. A few years later, the IBM silo-compatible 3592 drive was commercially available.
Rather than put StorageTek completely out of business, it had the opposite effect. Now that IBM drives can be put in StorageTek libraries, everyone wanted one, basically bringing StorageTek back to life. This forced IBM to offer its own tape automation libraries.
In 1993, I filed my first patent. It was for the RECYCLE function in DFHSM to consolidate valid data from partial tapes to fresh new tapes. Before my patent, the RECYCLE function selected tapes alphabetically, by volume serial (VOLSER). My patent evaluated all tapes based on how full they were, and sorted them least-full to most-full, to maximize the return of cartridges.
Different tape cartridges can hold different amounts of data, especially with different formats on the same media type, with or without compression, so calculating the percentage full turned out to be a tricky algorithm that continues to be used in mainframe environments today.
The patent was popular for cross-licensing, and IBM has since filed additional patents for this invention in other countries to further increase its license revenue for intellectual property.
In 1997, IBM launched the IBM 3494 Virtual Tape Server (VTS), the first virtual tape storage device, blending disk and tape to optimal effect. This was based off the IBM 3850 Mass Storage Systems, which was the first virtual disk system, that used 3380 disk and tape to emulate the older 3350 disk systems.
In the VTS, tape volume images would be emulated as files on a disk system, then later moved to physical tape. We would call the disk the "Tape Volume Cache", and use caching algorithms to decide how long to keep data in cache, versus destage to tape. However, there were only a few tape drives, and sometimes when the VTS was busy, there were no tape drives available to destage the older images, and the cache would fill up.
I had already solved this problem in DFHSM, with a function called pre-migration. The idea was to pre-emptively copy data to tape, but leave it also on disk, so that when it needed to be destaged, all we had to do was delete the disk copy and activate the tape copy. We patented using this idea for the VTS, and it is still used in the successor models of IBM Sysem Storage TS7740 virtual tape libraries today.
Today, tape continues to be the least expensive storage medium, about 15 to 25 times less expensive, dollar-per-GB, than disk technologies. A dollar of today's LTO-5 tape can hold 22 days worth of MP3 music at 192 Kbps recording. A full TS1140 tape cartridge can hold 2 million copies of the book "War and Peace".
(If you have not read the book, Woody Allen took a speed reading course and read the entire novel in just 20 minutes. He summed up the novel in three words: "It involves Russia." By comparison, in the same 20 minutes, at 650MB/sec, the TS1140 drive can read this novel over and over 390,000 times.)
If you have your own "war stories" about tape, I would love to hear them, please consider posting a comment below.
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Tonight PBS plans to air Season 38, Episode 6 of NOVA, titled [Smartest Machine On Earth]. Here is an excerpt from the station listing:
"What's so special about human intelligence and will scientists ever build a computer that rivals the flexibility and power of a human brain? In "Artificial Intelligence," NOVA takes viewers inside an IBM lab where a crack team has been working for nearly three years to perfect a machine that can answer any question. The scientists hope their machine will be able to beat expert contestants in one of the USA's most challenging TV quiz shows -- Jeopardy, which has entertained viewers for over four decades. "Artificial Intelligence" presents the exclusive inside story of how the IBM team developed the world's smartest computer from scratch. Now they're racing to finish it for a special Jeopardy airdate in February 2011. They've built an exact replica of the studio at its research lab near New York and invited past champions to compete against the machine, a big black box code -- named Watson after IBM's founder, Thomas J. Watson. But will Watson be able to beat out its human competition?"
Craig Rhinehart offers [10 Things You Need to Know About the Technology Behind Watson].
An artist has come up with this clever [unofficial poster].
Like most supercomputers, Watson runs the Linux operating system. The system runs 2,880 cores (90 IBM Power 750 servers, four sockets each, eight cores per socket) to achieve 80 [TeraFlops]. TeraFlops is the unit of measure for supercomputers, representing a trillion floating point operations. By comparison, Hans Morvec, principal research scientist at the Robotics Institute of Carnegie Mellon University (CMU) estimates that the [human brain is about 100 TeraFlops]. So, in the three seconds that Watson gets to calculate its response, it would have processed 240 trillion operations.
Several readers of my blog have asked for details on the storage aspects of Watson. Basically, it is a modified version of IBM Scale-Out NAS [SONAS] that IBM offers commercially, but running Linux on POWER instead of Linux-x86. System p expansion drawers of SAS 15K RPM 450GB drives, 12 drives each, are dual-connected to two storage nodes, for a total of 21.6TB of raw disk capacity. The storage nodes use IBM's General Parallel File System (GPFS) to provide clustered NFS access to the rest of the system. Each Power 750 has minimal internal storage mostly to hold the Linux operating system and programs.
When Watson is booted up, the 15TB of total RAM are loaded up, and thereafter the DeepQA processing is all done from memory. According to IBM Research, "The actual size of the data (analyzed and indexed text, knowledge bases, etc.) used for candidate answer generation and evidence evaluation is under 1TB." For performance reasons, various subsets of the data are replicated in RAM on different functional groups of cluster nodes. The entire system is self-contained, Watson is NOT going to the internet searching for answers.
On ZDnet, Steven J. Vaughan-Nichols welcomes our new [Linux Penguin Jeopardy overlords]. I have to say I share his enthusiasm!
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“In times of universal deceit, telling the truth will be a revolutionary act.”
Well, it has been over two years since I first covered IBM's acquisition of the XIV company. Amazingly, I still see a lot of misperceptions out in the blogosphere, especially those regarding double drive failures for the XIV storage system. Despite various attempts to [explain XIV resiliency] and to [dispel the rumors], there are still competitors making stuff up, putting fear, uncertainty and doubt into the minds of prospective XIV clients.
Clients love the IBM XIV storage system! In this economy, companies are not stupid. Before buying any enterprise-class disk system, they ask the tough questions, run evaluation tests, and all the other due diligence often referred to as "kicking the tires". Here is what some IBM clients have said about their XIV systems:
In this blog post, I hope to set the record straight. It is not my intent to embarrass anyone in particular, so instead will focus on a fact-based approach.
For more about IBM XIV reliability, read this whitepaper [IBM XIV© Storage System: Reliability Reinvented]. To find out why so many clients LOVE their XIV, contact your local IBM storage sales rep or IBM Business Partner.
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This week, I was reminded that back in 2011, Watson beat two human players, Ken Jennings and Brad Rutter on the TV game show "Jeopardy!" On his last response, Ken wrote "I for one welcome our new computer overlords." With IBM investing heavily in Cognitive Solutions, should people be worried, or welcome the new technology?
Back in 1950, Isaac Asimov proposed "Three laws of robots":
Let's take a look at how Artificial Intelligence has been represented in the movies over the past few decades. I have put these in chronological order when they were initially released in the United States.
(FCC Disclosure and Spoiler Alert: I work for IBM. This blog post can be considered a "paid celebrity endorsement" for cognitive solutions made by IBM. While IBM may have been involved or featured in some of these movies, I have no financial interest in them. I have seen them all and highly recommend them. I am hoping that you have all seen these, or at least familiar enough with their plot lines that I am not spoiling them for you.)
Movies that depict the bad guys as a particular nationality, ethnicity or religion may be offensive to some movie audiences. Instead, having dinosaurs, monsters, aliens or robots provides a villain that all people can fear equally. This helps movie makers reach a more global audience!
Of course, if robots, androids and other forms of Artificial Intelligence did exactly what humans expect them to, we would not have the tense, thrilling action movies to watch on the big screen.
This is not a complete list of movies. Enter in the comments below your favorite movie that features Artificial Intelligence and why it is your favorite!
technorati tags: IBM, Watson, Jeopardy, Ken Jennings, Brad Rutter, computer overlords, cognitive solutions, Isaac Asimov, three laws of robots, Artificial Intelligence, Stanley Kubrick, Arthur C. Clarke, HAL 9000, Space Odyssey, Westworld, Michael Crichton, Yul Brenner, Jurassic Park, HBO, Blade Runner, Ridley Scott, Harrison Ford, WarGames, Matthew Broderick, WOPR, Terminator, Skynet, Arnold Schwarzenegger, I, Robot, Will Smith, VIKI, Ex Machina, Domhnall Gleeson, Alicia Vikander, Turing Test, Alan Turing
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Last month, I had the pleasure to help train Watson in its latest mission, to help answer questions from sellers, this are not just for the IBM feet on the street, but also for IBM distributors and IBM Business Partners as well.
In their post [Workers Spend Too Much Time Searching for Information], Cottrill Research explains the problem all too well. Here is an excerpt:
"... [survey by SearchYourCloud] revealed 'workers took up to 8 searches to find the right document and information.' Here are a few other statistics that help tell the tale of information overload and wasted time spent searching for correct information -- either external or internal:
In the early days of the Internet, before search engines like Google or Bing, I competed in [Internet Scavenger Hunts]. A dozen or more contestants would be in a room, and would be given a list of 20 questions to find answers for. Each of us would then hunt down answers on the Internet. The person to find the most documented answers before time runs out wins. It was quite the challenge!
Over the years, I have honed my skills as a [Search Ninja]. With over 30 years of experience in IBM Storage, many sellers come to me for answers. Sometimes sellers are just too lazy to look for the answers themselves, too busy trying to meet client deadlines, or too green to know where to look.
A good portion of my 60-hour week is spent helping sellers find the answers they are looking for. Sometimes I dig into the [SSIC], product data sheets, or various IBM Redbooks.
Other times, I would confer with experts, engineers and architects in particular development teams. Often, I learn something new myself. In a few cases, I have turned some questions into ideas for blog posts!
It was no surprise when I was asked to help train Watson for the new "Systems SmartSeller" tool. This will be a tool that runs on smartphones or desktops to help answer questions that sellers might need to respond to RFP or other client queries.
The premise was simple. Treat Watson as a student at "Cognitive University" taking classes from dozens of IBM professors, in a series of semesters, or "phases".
Phase I involved building the "Corpus", the set of documents related to z Systems, POWER systems, Storage and SDI solutions; and a "Grading Tool" that would be used as the Graphical User Interface. I was not involved in phase I.
Phase II was where I came in. Hundreds of questions are categorized by product area. I worked on 500 questions for storage. For each question, Watson had up to eleven different responses, typically a paragraph from the Corpus. My job as a professor was to grade the responses to some 500 storage questions:
Most of the answers were either 1-star (not storage related) or 2-star (mentioned storage, but poor response). I would search through the existing Corpus looking for a better answer, and at best found only 3-star responses, which I would add to the list and grade as a 3-star response.
I then searched the Internet for better answers. Once I found a good match, I would type up a 4-star response, add it to the list, and point it to the appropriate resources on the Web.
Other professors, who were also looking at these questions, would then get to grade my suggested responses as well. Watson would learn based on the consensus of how appropriate and accurate each response was graded.
I don't know where the Cognitive University team got some of the questions, but they were quite representative of the ones I get every week. In some cases, the seller didn't understand the question he heard from the client, making it difficult for me to figure out what they were actually asking for.
It reminds me of that parlor game ["Telephone" or "Chinese Whispers"], in which one person whispers a message to the ear of the next person through a line of people until the last player announces the message to the entire group. I have actually played this at an IBM event in China!
Watson needs to parse the question into nouns and verbs, and use that Natural Linguistic Programming (NLP) to then search the Corpus for appropriate answer. I determined three challenges for Watson in this case:
I managed to grade the responses in the two weeks we were given. Part of my frustration was the grading tool itself was a bit buggy, and I spent some time trying to track down some of its flaws.
The next phase is in late January and February. This will give the Cognitive University team a chance to update the Corpus, improve the grading interface, and find more professors and different set of questions. I volunteered the most recent four years' worth of my blog posts to be added to the Corpus.
Maybe this tool will help me turn my 60-hour week back to the 40-hour week it should be!
technorati tags: IBM, Watson, Cottrill Research, SearchYourCloud, McKinsey, IDC, Google, Bing, Search Ninja, Internet Scavenger Hunts, SSIC, Telephone Game, Chinese Whispers, NLP, RFP, Storwize, RtC, Zoltar, Cognitive University
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Well, it's Tuesday again, and you know what that means? IBM Announcements!
(OK, yes, today is Friday, but I was busy getting married on Tuesday, so IBM pushed the announcements out one day to Wednesday, and technically I am writing this blog post during my honeymoon vacation, so the IBM marketing team and my new wife both cut me some slack. Work/Life balance is all about compromises, right?)
By now, there are multitude news articles on these announcements, so I recommend you go look for them.
technorati tags: IBM, DS8880, DS8884, DS8886, High Performance Flash Enclosure, HPFE, DSCLI, FICON, Spectrum Virtualize, Data-at-Rest Encryption, Spectrum Copy Data Management, Transparent Cloud Tiering, SAS, NL-SAS, LFF, SFF, FDWP, FlashSystem V9000, DeepFlash 150, DeepFlash ESS, Elastic Storage Server, Erasure Coding, Widows, Linux, AIX, BSSD
I am presenting a Webinar on Monday, October 31, 1:00pm CDT!
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