This week, I am attending the [InterConnect Conference] in Las Vegas, Feb 21-25, 2016. This is IBM's premier Cloud & Mobile conference for the year.
Monday morning I attended the General session and a break-out session.
- 7030A General Session Day 1: Digital Business Transformation
The General Session was kicked off by three clients:
- Richard Holmes, Westpac Group, a 200-year-old bank with 21,000 branch locations across Australia and New Zealand. They have migrated 70 percent of their applications to the Hybrid Cloud. Provisioning server and storage resources went from 84 days to just minutes.
- William Alessi, Alpha Modus, a startup company that helps investors maximize their risk-adjusted value of their stock portfolio. They use IBM Watson Cognitive Services to the sentiment on Twitter, and use that the predict up and down swings in the financial markets. Their use of IBM Bluemix allows them to develop new apps in 3 days, and deploy them to market in 7 days.
Matthias Rebellius, Siemens AG, Building Services. They use IBM Watson IoT to monitor the energy usage of their buildings. They have reduced energy consumption 20 to 30 percent, eliminating over 10 million cubic feet of CO2 greenhouse gas.
Robert LeBlanc, IBM Senior Vice President for Cloud, took the stage and welcomed the 23,000 attendees. Developers are turning to IBM Cloud to deliver timely, knowledgeable, and secure experiences for their customers and end-users. Business leaders are seeking new ways to enable their companies to securely implement hybrid cloud strategies that integrate mobile, IoT, and cognitive. He focused on five areas:
- Choice, but with Consistency
- Hybrid Cloud Integration
- DevOps productivity
- Powerful, Accessible data and analytics
- Cognitive solutions
Robert indicates that 100 percent of our strategic software products are now Hybrid-Cloud enabled. We get over 3.2 billion API calls per month, and 20,000 new IBM Bluemix users per month. More than 7,000 startups are now running on IBM SoftLayer. IBM was once again ranked #1 for Hybrid Cloud by industry analysts.
IBM predicts that 80 percent of Internet traffic will be video by year 2019. To that end, IBM offers Aspera, Ustream, and Cloudleap.
New IBM Watson APIs can analyze "tone", "emotion" and "vision".
IBM has partnered with Github to offer an Enterprise-class Github-as-a-Service offering suitable for business use.
IBM "Open for Data" has over 150 pre-populated public data sources for use with analytics. This allows applications to analyze their own data in context with public sources.
Carl Eschenbach, VMware, emphasized its partnership with IBM, announcing the ability to run VMware on IBM SoftLayer "bare metal" systems, enabling features like NSX networking and VSAN virtual storage.
Brian Cross, Apple Vice President of Product Marketing, presented the enormity of Apple's developer ecosystem:
- 1.5 million apps on Apple iOS application store
- 11 million developers making these apps
- 100 billion downloads of these apps
- 1 billion Apple devices
In the past, these developers used Xcode development environment. To take the most advantage of Apple hardware features, many developers use C or C++ programming languages to develop "Native Apps".
Apple developed a new programming language called Swift that has already made it to the top 20 development languages. He gave a demo of "Swift Playground" that allows developers see their apps running while they develop and edit the code.
Apple has made Swift open source, and extended its use across iOS, Mac OS X, Watch OS, tvOS and even Linux operating systems. This means you can write code for devices, client workstations and even servers in your datacenter or Cloud. Download it at [Swift.org].
John Ponzo, IBM Fellow, Vice President and CTO of MobileFirst, wrapped up the General session. He mentioned the "IBM Swift Sandbox" service that helps developers learn Swift programming:
- Kitura -- This open source framework would allow developers to build end-to-end applications, deploy, and collaborate on web services and applications written in Swift. Kitura allows developers to build front-end and back-end code using Swift as the programming language to help simplify modern application development.
- OpenWhisk -- A feature on IBM Bluemix that provides an event-driven computing service for dynamic applications. It competes against Amazon's Lambda service.
- [Swift Package Catalog]
With new ways to deploy Hybrid Cloud, using new composable development tools, it is clear that "Cloud" is not merely a destination, but a new innovation platform.
- 1581A University of Chicago Taps into IBM Cloud Object Storage for More Effective Patient Treatments
This session was 30 minutes with Piers Nash, University of Chicago - Center for Data Intensive Science (CDIS), client testimonial, followed by Russell Kennedy, IBM, that covered an overview of Cleversafe used in the solution.
University of Chicago's Center for Data Intensive Science (CDIS) accelerates medical discoveries by democratizing access to data for scientific research. Utilizing an object storage solution, CDIS centrally stores and manages vast amounts of genomic and clinical data at web-scale, allowing researchers to collaborate via shared access to harmonized data sets, speeding discovery and enabling precision medicine.
Their initial focus is cancer research. Cancer costs over $100 Billion USD per year in healthcare costs. It is #1 killer among people under 85 years old, affecting half of all men, and a third of all women. There are 1.7 million new cancer cases in the USA every year, 15 million worldwide.
There is no "single cure" for cancer. Whereas all humans share nearly identical 3.2 billion base pairs of genetic material, there are over 15,000 different kinds of cancers, each with its own genome. Capturing RNA sequences of patients results in images 10-20 GB in size, and over the course of treatment could add up to 1 TB of image data per patient. A million patients with 1TB of data each would be an Exabyte of data (1,000 Petabytes).
To store all of this data, CDIS created the Bionimbus Protected Data Cloud, using Cleversafe as the underlying storage technology. This system goes live June 2016, and they plan to keep the data forever.
(We'll see how well that goes 10 years from now! It might be cheaper just to re-sequence a human's DNA as needed, rather than storing it forever, since an individual's DNA never changes.)
The data is "de-identified" meaning that researches using the data are unable to identify individual people associated with each case study or genomic result. They have already collected 1.66 PB of this data.
Most cancer treatments that have been effective have focused on specific genetics. The problem is targeting precise therapies to the right patients. For example, there are two very similar Lung cancers, and about 20 percent of the time, a Lung cancer is mis-identified, such that the patients has adverse reactions to the wrong treatment. By having more analytics-based medicine, the hope is to reduce this trial-and-error approach.
Russ Kennedy, IBM, wrapped up the session explaining Cleversafe, which was a Chicago-based company formed in 2004 that was acquired last year by IBM. Why did University of Chicago choose Cleversafe? Several reasons:
- University of Chicago attempts to use open source projects like Gluster or Ceph failed around the 1-2 PB mark. They knew they would need much more than this!
- Cleversafe was a Chicago-based company, offering local support
- IDC ranked Cleversafe #1 marketshare leader of object storage in 2014 and 2015! It beats out competitors like Dell/EMC and Salty, as well as Cloud Service Providers like Amazon or Google.
Why object storage? IBM predicts a 332 percent growth in data generated from Mobile devices. As much as 90 percent of traffic on Mobile devices will be from Cloud apps rather than voice or text messages. There will be a 10-fold increase of data stored by year 2020, and at least 80 percent of this data will be unstructured content. Cleversafe estimates that managing object storage requires 15x fewer administrators than traditional storage.
Cleversafe consists of three components. The "Accessor" is software that runs bare metal, as Virtual Machine or Docker container. It offers the OpenStack Swift, HTTP/REST and Amazon S3 object-based interfaces to ingest the data. The data is encrypted, divided into pieces, then through a process called [Erasure Coding] is converted to slices. Those slices are stored on storage-rich servers called "storage nodes".
For example, five pieces of data converted to nine slices could be stored on nine machines, three machines at Site 1, three at Site 2, and three at Site 3. You only need to read back any five slices to reconstruct the data, so you could lose any four of the nine machines and still have full recoverability. If the 5/9 example above, you could lose any one site, and a machine in one of the two remaining surviving sites, and still retrieve all of your data.
There is now an "open beta" called the Transparent Cloud Storage Tiering that bridges GPFS and Spectrum Scale over to Cleversafe.
I wrapped up the morning with a lunch at Border Grill with storage clients and IBM Business Partners. This was the best steak I have had this week!
technorati tags: IBM, #InterConnect, Richard Holmes, Westpac Group, William Alessi, Alpha Modus, Matthias Rebellius, Siemens AG, Robert LeBlanc, Hybrid Cloud, Bluemix, SoftLayer, Aspera, Ustream, Cloudleap, Watson, Open+for+Data, Github, Carl Eschenbach, VMware, NSX, VSAN, Brian Cross, Apple, Xcode, Apple Swift, John+Ponzo, MobileFirst, Kitura, OpenWhisk, Piers+Nash, University of Chicago, Center for Data Intensive Science, CDIS, cancer research, genome, genomics, genetics, Bionimbus Protected Data Cloud, Cleversafe, OpenStack Swift, Amazon S3, HTTP, REST, Transparent Cloud Storage Tiering, beta, GPFS, Spectrum Scale,
This week, I am attending the [InterConnect Conference] in Las Vegas, Feb 21-25, 2016. This is IBM's premier Cloud & Mobile conference for the year.
Sunday, I attended a series from IBM Research talking about the latest research areas.
- 7110A Future Directions in Enterprise Mobile Computing
Gabi Zodik (IBM) presented. Mobile and wearables are transforming all industries. Enabling technologies are required to support the new computing models that are cognitive in nature. Real-time proactive decisions can be made based on the mobile context of a user. Driven by the huge amounts of data produced by mobile devices, the next wave in computing will need to exploit data and computing at the edge of the network.
Future mobile apps will have to be cognitive to "understand" user intentions based on all the available interactions and unstructured data. A new distributed programming paradigm is emerging to meet these needs, which has to deal with massive amounts of data and devices. While the compute and storage capacity on individual devices is small, collectively they exceed all of the servers and storage in Cloud datacenters.
- 7107A Wearables in the Enterprise
Asaf Adi (IBM) presented. Wearable technology is booming. It is only our imagination that will limit the number of industrial, military, consumer and healthcare applications for this new emerging technology. Wearables are transforming industries and professions, enabling new business opportunities. From a show of hands, half the audience was wearing smart technology already.
In one example, he focused on construction industry. In the USA alone, there are thousands of workplace injuries, costing $190 Billion dollars. Wearable technologies can be incorporated into a hardhat to bright orange vest. In a steel mill, heat stress can be determined from ambient temperature and an employee's heart rate. Over time, we will have multiple wearables, communicating to each other.
In another example, he was able to make a hand gesture (waving his hand in front of his smartphone), and use that to generate code fragment that can be used by software developers to detect that particular hand gesture was made in any application.
Wearables cannot assume they are always connected to the Cloud. Take for example mining, where miners are deep below the ground. Technology to ensure safety needs to work regardless of connectivity.
Privacy is also a big concern. Wearables should not be used by employers to monitor every movement and activity of the employees.
- 7152A Cognitive IoT -- Today, Tomorrow and Beyond
Alessandro Curioni (IBM) presented. Today's sensors aren't up to the task of unlocking the complex links between people, places and things. To reach the next level, we need technologies that enable them to gather and integrate data from many sources, to reason over that data, and to learn from it. IBM calls this the Cognitive Internet of Things (IoT).
We already know IoT data can be used to predict maintenance needs, but what if it can also help designers engineer more reliable products from scratch? In addition, with advancements in nanotechnology and machine learning we can bring the power of cognitive to the edge—where the data is collected. Imagine tiny edge computers providing Watson services on every sensor?
It is estimated that we have 13 billion IoT sensors today, and that this will more than double to 29 billion by year 2020. This introduces new security threats, new levels of employee engagement, and fundamental shifts in business models.
Sadly, 88 percent of all the IoT is dark, meaning that it is not collected or processed for analysis. While the IT industry has done amazing things with the other 12 percent, we realize that programming techniques are too limited.
That is why cognitive is needed to unleash the value of the data. IBM Watson offers excellent capabilities, including Natural Language Processing (NLP), Machine Learning (ML), Image/Video analytics, and Text Analytics.
Manufacturers like Whirlpool are investigating use of IoT for home appliances, like refrigerators, washers and dryers. This is just the beginning, other industries including Healthcare, Retail, Oil, Mining and Farming will also benefit.
- 7108A Blockchain and the Future of Finance
Ramesh Gopinath (IBM) presented. Transferring products and funds today is inefficient, expensive, and vulnerable. Blockchain is an emerging fabric for transaction services. It has the potential to radically transform multi-party business networks, enabling significant cost and risk reduction and innovative new business models.
About 18 months ago, the "Blockchain" concept was not ready for business. Since then, Apache has accepted the "HyperLedger" project, with 17 founding companies.
Imagine a company in China or India exporting a product to a company in USA. There may be 10 or some companies or agencies involved, including multiple banks, port authorities, trucking companies, etc. The hand off the equipment, and ensure all parties are paid, some 30 different paper documents may be needed. Each company maintains their own set of records, and all the middlemen take their cut.
Blockchain represents a digitally-signed, encrypted, immutable "ledger" that records all of the steps related to a particular transaction. Since each new block has a checksum of all of the previous blocks, it prevents tampering and fraud. All parties have access to all of the ledger, eliminating discrepancies between different repositories of records.
This can be used to sell stocks, buy real estate, or transfer financial funds to your family overseas. Each party involved in a Blockchain has a node in a peer-to-peer network of nodes that can access a shared Blockchain request. A user initiates the transaction, and the nodes in the network use a Practical Byzantine Fault Tolerance [PBFT] protocol.
(Check out Donna Dillenberger's video: [Blockchain Demo with IBM z Systems])
By providing [disintermediation], fewer middlemen in the process reduces costs, processing time, and risks. The method allows for the user's transactional privacy, but also ensures accountability and auditability.
- 7234A Building Cloud Infrastructure for Next-Generation Workloads
Krishna Nathan (IBM) presented. Today's cloud providers are efficient at providing today's cloud services at low costs. However, this efficiency comes with the penalty of inflexible instance types and no real guarantees on performance or quality of service.
Today's systems are organized and optimized for transactional processing, a result of evolution of the past 60 years. Relational Databases offer specific features like Atomicity, Consistency, Isolation, and Durability, known collectively as [ACID].
However, we are expanding beyond "automating our world", or "understanding our world". This means tapping into 90% unstructured workloads, multi-modal scanning, noise-tolerant with variable precision and probabilistic outcomes.
Cloud Providers have used the "best practices" of transactional datacenters. Consequently, next-generation workloads that often do not share the characteristics of traditional workloads are limited in expressing their full potential because of these infrastructure limitations. Now they need to focus on four characteristics: Locality, Composability, Heterogeneity, and Dynamic resource allocation.
New workloads need a combination of CPU, GPU, NVMe, and other resources. How do you schedule which equipment to deploy for incoming workload processing that optimizes performance? By taking these factors into account, clever Cloud providers can optimize performance results to provide best fit for each workload request.
- 7135A Storing and Using Data in the Cloud -- Putting Together the Puzzle Pieces
Michael Factor (IBM) presented. What do OpenStack Swift, Spark, CouchDB, Kafka and ElasticSearch have in common? They are all open source, they all are available on IBM's cloud today, and they all focus on storage and using data. The trick, though, is putting these puzzle pieces together to solve real problems. You need smart integration between data services motivated by real examples from domains such as IoT, transport and retail.
There are a plethora of of open services to manage data. A recent IDC Analyst study indicates that the worlds data will grow from 8.6 Zetabytes today to 40 Zetabytes in 2020. Michael gave some eye-opening comparisons. If the data was stored on 10-TB hard disk drives, we could make some physical comparisons:
- Imagine stacking all of those disk drives one on top of each like a stack of books. the stack today would be 22,000 kilometers, more than half the way to geosynchronous orbiting satellites, but would be over 100,000 kilometers, way past those satellites in 2020.
- The weight of those drives today would be comparable to the weight of 1,450 Airbus 380 airplanes. In 2020, they would weigh 6,755 Airbus 380 airplanes.
- If the drives were spread across the entire Mandalay Bay convention center floor, they would be 1.7 meters deep today (about 5 feet), but would be 8 meters deep in 2020.
An example of the EMT Madrid bus company using real-time sensors to react to traffic conditions.
Here are the various pieces:
- OpenStack Swift -- provides object storage
- ElasticSearch, based on Apache Lucene - search engine, such as for metadata or queries
- Apache Spark - combines SQL, streams and complex analytics, with filter pushdown support
- Apache Parquet -- a column-based data format to replace row-based Comma-Separated-Variable (CSV) format
- Apache Kafka - a message bus, works with dashDB and Secor
Beyond programming "glue", we need smart integration to get an order of magnitude boost in performance.
This was an exciting way to start the conference!
technorati tags: IBM, #IBMInterConnect, #IBMsystems, Gabi Zodik, Enterprise Mobile Computing, Asaf Adi, Wearable+Technology, Alessandro Curioni, Cognitive, IoT, Internet of Things, Whirlpool, Ramesh Gopinath, Blockchain, Krishna Nathan, Cloud Infrastructure, CPU, GPU, NVMe, Michael Factor, OpenStack Swift, Apache Spark, CouchDB, Apache Kafka, ElasticSearch, Apache Lucene, DashDB, Secor, Parquet, CSV, EMT Madrid
Next week, I will be attending the [InterConnect Conference] in Las Vegas, Feb 21-25, 2016. This is IBM's premier Cloud & Mobile conference for the year.
(For those not attending in person, you can watch live streams of the event at [IBMGO InterConnect channel].)
With over 2,000 technical sessions and 500 client testimonials, the event can be intimidating. For those of you attending this conference for the first time, I have some advice:
- Review all the sessions you want to attend.
- Don't limit yourself to just sessions in your area of job responsibility. Venture out. Look for adjacent spaces. Attend a session of two that you might learn something completely new and different.
- Build your schedule in advance. The mobile app [IBM Events] can help you plan out your week.
- Select one to five sessions per time slot, this gives you the choice to make a final selection, if there are last minute cancellations, or you discover a room is completely full.
- Be mindful that some sessions are at the MGM Grand hotel, and others at the Mandalay Bay Resort, so you may need to account for travel time. This [Week-at-a-Glance] can help. I will be focusing my efforts at the Mandalay Bay.
Here's my first cut at my schedule. Maybe this will help you organize your own.
|09:35am||7152A IBM Research Day: Cognitive IoT -- Today, Tomorrow and Beyond|
|10:00am||7176A IBM Research Day Demo: Cognitive IoT Analytics Enable Connected Vehicle Service Innovations|
|10:10am||7108A IBM Research Day: Blockchain and the Future of Finance|
|11:20am||7234A IBM Research Day: Building Cloud Infrastructure for Next-Generation Workloads|
|11:55am||7135A IBM Research Day: Storing and Using Data in the Cloud -- Putting Together the Puzzle Pieces|
|01:00pm||7085A Discover InterConnect: Discover the Value of IBM Systems for Your Business|
|02:00pm||7291A IBM Research Day Demo: Event-Driven, Serverless Cloud Compute and Storage|
|03:25pm||7112A IBM Research Day: Cloud Programming Models|
|04:00pm||7144A Open Technology Summit|
|05:00pm||Networking Reception -- Mandalay Bay South Convention Center Ballroom|
|08:15am||7030A General Session Day 1: Digital Business Transformation|
- 1581A University of Chicago Taps into IBM Cloud Object Storage for More Effective Patient Treatments
- 7221A Is Your Data Infrastructure Designed for Cloud, Analytics and Cognitive? Get Ready with IBM Storage!
- 1441A Data Resiliency: Data-Driven Analytics and Beyond
- 6488A Blockchain for Dummies
- 1267A Prudential and IBM: Integrating Application and Storage Management to Drive Cloud Service Levels
- 7433A Special Session: Open for Data -- An Open Invitation to Help You Solve Your Greatest Data Challenges
- 3050A IBM Cloud Architecture Center: A Story of 1001 Client Implementations and How You Can Leverage Them
- 6285A Data Management from the Cloud: Introduction to IBM Storage Insights
- 7215A Software Defined Storage: How Data Growth and Analytics are Driving New Innovation in Cloud Storage
- 3690A Meet the Experts on IBM Cloud Storage Services
|05:30pm||7171A Solution EXPO Reception - Monday|
- 6139A Manulife's Transformation to Agility with a Hybrid Cloud
- 4852A The Weather Company: How Insurers Can Differentiate with Weather Data
- 4955A IBM and Box: Delivering Hybrid Solutions for Enterprise Content Management
- 7032A General Session Day 2: IT Transformation
|12:00pm||6524A The Role of Tape in a Cloud-Based World for Economical and Secure Data Retention|
- 7310A Cleversafe: Access Breakthrough Object-Based Storage Technology to Solve Storage Challenges
- 7450A "Outta Space": Limitless Learning and the Cognitive Cloud
- 4759A Cloud Storage Success: MSPs and Enterprises Reveal their Secrets
- 7276A Rethink Mainframe Storage: A Hybrid Cloud Strategy for the Best of Both Worlds
- 5467A My Data is Out of Control! Managing the Lifecycle of Your Data with "Big Storage" Cloud Archive
- 1272A Learn How New IBM Spectrum Virtualize and Storwize Solutions Solve Cloud Challenges
|05:00pm||7215B Software Defined Storage: How Data Growth and Analytics are Driving New Innovation in Cloud Storage|
|05:00pm||7343A Solution EXPO Reception - Tuesday|
|06:30pm||7235A Addressing the Data Deluge with Web-Scale Object Storage Solutions|
- 1273A New IBM DS8880 Family: Always-On Data at Cloud Speed
- 6266A 3D Printed Cars, Microfactories and Autonomous Vehicles: Local Motors' Partnership with IBM
- 4547A Aspera on the SoftLayer Cloud at Jabil
- 3015A Open Doors with an OpenStack Approach
- 7170A General Session Day 3: Personal Transformation
- 7229A All Roads Lead to Hybrid Cloud: Are You on the Right One?
|12:00pm||7186A IBM Spectrum Storage Experiences|
- 5663A Beyond Hyperconvergence to a Hyperscale Converged Infrastructure
- 4753A Finnish Telco Anvia Rides the Lightning with IBM Storage
|01:45pm||1841A Tony Pearson presents: [IBM Cloud Storage Options]|
Systems Engagement Center – Mandalay Bay Solution EXPO
- 7253A Blogging 201: Plan, Maintain, and Optimize Your Blog
- 1013A Trends in Encryption of Data at Rest: On-Premise and in the Cloud
- 3757A Moving from Enterprise Premises to the Cloud in Gradual Steps
- 2131A Enabling Cloud Business with IBM FlashSystem
- 1709A Big Data—Beyond the Hype
- 3318A System of Systems Transformation at the Boeing Company
|04:15pm||7408A IBM + Box: Transforming Work in the Cloud|
- 1885A Enterprise IT "as-a-Service": A Hybrid Model for the Digital Enterprise
- 2692A In Wine There is Wisdom, in Beer There is Freedom, in IBM There is Digital Transformation...
- 5602A Successfully Architecting the Enterprise Edge: Insight from ADP
- 1234A Ubuntu -- Make It Your Choice for Cloud and Scale-Out Linux Workloads on POWER8
- 2154A Expert Panel on Hybrid Cloud Data Protection: Who Is the Service Provider?
|05:00pm||7172A Solution EXPO Cocktail Reception|
|08:00pm||7175A InterConnect ROCKS with Elton John|
- 2419A Enhance the Agility of Your Cloud with IBM FlashSystem
- 7398A Cybersecurity Jeopardy! Are We Putting the Answers before the Question?
|09:30am||4331A Leverage zOS and Cloud Storage for Backup/Archive Efficiency and Cost Reduction|
- 7341A IBM Storage and Catalogic: Software Defined Solutions for Hybrid Cloud and DevOps
- 2027A Get the Best From Your Storage: Why IBM Spectrum Virtualize Makes Sense for Your Cloud
|11:30am||4921A Radical Storage Simplicity for Your Cloud and How it Can Impact Your Customers|
If you use Twitter, follow @IBMInterConnect, @IBMSystems and @IBMStorage for updates, and my own tweets @az990tony. If you take a photo at the event, tag it with #ileadIT to enter into the social-photo contest!
I will be there all week! Contact me if you want to get together.
technorati tags: IBM, InterConnect, #IBMInterConnect, IoT, Internet of Things, Blockchain, Cloud, Storlets, University of Chicago, Prudential, Spectrum Control, Storage Insights, Software Defined Storage, Solution EXPO, Manulife, Weather Company, IBM and Box, Cloud-based Tape, Cleversafe, Object-based storage, Web-Scale, DS8880, Aspera, SoftLayer, OpenStack, Hybrid Cloud, Converged Infrastructure, Hyperconvergence, Anvia, Jabil, FlashSystem, Boeing, Ubuntu, Scale-out Linux, POWER8, Elton John, Cybersecurity, Jeopardy, zOS, Catalogic, DevOps, Spectrum Virtualize
Well, it's Tuesday again, and you know what that means? IBM Announcements!
This week, IBM announces the second generation of Storwize V5000 flash and disk storage systems. There are the V5000F All-flash configurations, as well as the V5000 that can support a variety of flash and spinning disk drives.
There are three models:
- Storwize V5010
The V5010 has dual 2-core/2-thread processors and 16GB of cache. It supports thin provisioning, FlashCopy, Easy Tier, and remote mirroring. The base unit includes 1 GbE Ethernet ports for iSCSI host connectivity, with options to add 16GB Fibre Channel, 12Gb SAS, and 10GbE iSCSI/FCoE as well.
The 2U controllers and expansion enclosures can hold either 24 small 2.5-inch drives, or 12 larger 3.5-inch drives. A single control enclosure has two active/active IBM Spectrum Virtualize nodes, and can attach up to 10 expansion enclosures for a maximum of 264 drives.
- Storwize V5020
The V5020 unit has dual 2-core/4-thread processors and up to 32GB of cache. It supports everything the V5010 does, plus encryption. The encryption is done via the Intel AES-NI instruction set to eliminate the need for special "self-encrypting drives" (SED) that other storage devices may require.
- Storwize V5030
The V5030 has dual 6-core/4-thread processors and up to 64GB of cache. It supports everything the V5010 and V5020 do, plus Real-time Compression and external virtualization. The Real-time Compression can achieve up to 80 percent space savings, representing a 5:1 compression ratio.
Each control enclosure can attach to 20 expansion enclosures, which can support 504 internal drives per controller, and up to 1,008 with two controllers (four Spectrum Virtualize nodes) clustered together. This is in addition to the drives in external storage systems virtualized.
To learn more, read the
[Storwize V5000 Gen2 announcement letter].
technorati tags: IBM, Storwize, Spectrum Virtualize, Storwize V5000F, Storwize V5000, Storwize V5010, Storwize V5020, Storwize V5030, Thin Provisioning, FlashCopy, Easy Tier, Remote Mirroring, Metro Mirror, Global Mirror, iSCSI, Fibre Channel, SAS, FCoE, Encryption, Intel AES-NI, SED, Real-time Compression
Modified by TonyPearson
Can you believe it has been a year already since IBM announced VersaStack?
In my May 2012 blog post, [EMC Strikes Back], I poked fun at the fact that Cisco had two
girlfriends "significant others": EMC and NetApp.
Cisco originally partnered with EMC to create a converged system called Vblock which combined Cisco UCS servers and switches with EMC storage. The partnership between VMware, Cisco and EMC was dubbed Virtual Computing Environment (VCE).
However, Cisco then partnered with NetApp to create Flexpod, a converged system that combined Cisco UCS servers and switches with NetApp storage. Many of my clients felt that Flexpod was an improvement over Vblock.
A lot has happened since then. In 2014, [drastically reduced its investment in VCE]. Last year, Dell then spent $67 Billion dollars to effectively take EMC out of the storage business. While this was a huge birthday present for IBM, not everyone is happy to see EMC fade away. Whitney Garcia has a great article titled [Crying at the Dell-EMC wedding: Why VCE customers should consider alternatives].
Before VersaStack, IBM had its own converged system, PureSystems, which combined IBM POWER and x86 servers with IBM storage. The x86 server portion of this business was sold off to Lenovo, but IBM continues to sell POWER-only and blended x86-and-POWER PureFlex systems, as well as PureApplication and PureData systems.
The [VersaStack] collaboration between IBM and Cisco offers an alternative to Vblock and Flexpod converged systems. Cisco is a leader in x86 blades and networking switches, and IBM is #1 in Flash and Software Defined Storage, including Storage Virtualization. VersaStack gives you the best of both worlds!
The VersaStack has Cisco Validated Designs for use with IBM's Spectrum Virtualize products:
- FlashSystem V9000
- Storwize V7000
- Storwize V7000 Unified
- Storwize V5000
This week, February 11, 2016, 12pm EDT, IBM and Cisco are hosting a webinar on VersaStack. Join us for the one year anniversary of VersaStack in a discussion with IBM, Cisco and VersaStack customers.
The speakers will be discussing VersaStack progress to date and the value VersaStack brings to client workloads. Topics of discussion will include how VersaStack can lower TCO, administrative overhead, reduce downtime and improve resource utilization, and allow for business innovation. The speakers include:
- Jonathan Cox, Medicat, Director, Technology Services
- Susan Martens, IBM, Director, VersaStack Sales, North America
- Kent Hixson, Cisco, Sales Business Development Manager
Here is the [Registration Link] to participate. Hope you can make it!
technorati tags: IBM, Cisco, EMC, VCE, VMware, Vblock, NetApp, Flexpod, VersaStack, #VersaStack, POWER, x86, Lenovo, PureSystems, PureFlex, PureApplication, PureData, Whitney Garcia, Jonathan Cox, Susan Martens, Kent Hixson, FlashSystem V9000, Storwize V7000, Storwize V7000 Unified, Storwize V5000, Medicat