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The Hottest Panels of this Fall!
It’s probably a good idea to state I wrote this blog while employed by Amplidata

It’s probably a good idea to state I wrote this blog while employed by Amplidata, but during my own time. This article reflects my own opinion, not necessarily that of Amplidata or its partners.

As I am writing this,  I am crossing the Atlantic for the seventh time in about two months. I’m on my way to CloudExpo West in Santa Clara, one of the few technology trade shows that are still growing. At the event I will be sitting on the last Object Storage for Big Data panel of the season. Robin Harris – aka StorageMojo – and I have been working hard this fall educating the industry on the benefits, challenges and opportunities of Object Storage. We’ve been trying to explain how the current generation of Object Storage platforms is so much different from the first attempt at it (EMC’s Centera), how it enables companies cope with the massive amounts of unstructured data that we are all generating and how companies can even monetize archived data by re-activating their archives.

Unlike StorageMojo and some other people who I have been working with lately, I don’t have decades of experience in the storage industry. However, being located in Belgium, I’ve had the privilege of working with people who used to be  part of the Filepool team (and spent years at EMC after the acquisition). Those were the earliest object storage days, I had no idea of what was coming. Later, at Sun, I learned a lot about Object Storage when we were working on the Sun Cloud project. The architecture (ZFS) was different of what we are seeing on the market today, but the concept was – as was often the case at Sun – promising. This article is not another take at describing Object Storage and the benefits it brings, it’s more an overview of what we have learned at the past four Object Storage for Big Data panels. The setup for each of the panels was mostly the same: Robin Harris would challenge between 4 and 6 Object Storage specialists (technology vendors or users) and try to have the audience participate with. We did expect the topics of the panels to be different as we were hosted by trade shows with different audiences, but we never expected the discussions to vary as much as they did.

The common thread for each panel was the challenge companies have to store different types of Big Data and more particularly Big Unstructured Data. The latter represents up to 90% of the digital data that we will be generating over the next decades and will put traditional storage technologies under heavy stress as they are hitting their scalability limits. Unstructured data is currently mostly stored in file system based storage infrastructures. File systems will not only be unable to scale as required – try setting up a file structure for 5 petabytes of data – but they will also become obsolete as applications can provide a lot more features to keep your unstructured data organized (structured?), to analyze that information and potentially monetize what is today stored in (dead) tape archives. Rich applications that talk directly to a large and (infinitely) scalable storage pool make a lot more sense than maintenance-intensive files systems. Also, properly designed Object Storage (with erasure coding technology instead of RAID to protect the data) requires a lot less overhead, consumes a lot less power, can easily be implemented over multiple sites and does not require migration to new systems when a system cannot be further scaled. So what else did we discuss at the panels?

The first panel after summer was at Intel’s IDF in San Francisco. Panel members came from Intel and Quanta, who with Amplidata built an Object Storage reference architecture. We also had Michelle Munson of Aspera, who presented a couple of perfect use cases of Object Storage in the media and entertainment industry. Aspera developed a very smart way to transfer large amounts of data over the WAN in a much more efficient way than how it is currently done. Aspera’s bandwidth optimization software practically enables this new generation of Object Storage by taking away the latency issue, e.g. to stream high res movies over a long distance. Once we had explained the drivers for Object Storage, the opportunities and best practices, most of the discussion (questions from the audience) was about why RAID is not the right technology to architect an Object Storage platform with. We discussed the benefits of erasure coding in much detail and spent a lot of time on the differences with RAID. In short: in Erasure Coding based systems, all disks are equal (all parity) and there is no need to rebuild a disk when broken: when codes are lost due to bit errors or hardware failures, new codes can be generated spread over the whole pool, not just one system. A recent and very good independent deepdive in the Amplidata erasure coding technology can be found here.

A lot less RAID and erasure coding at the Createasphere DAM Show in New York a few weeks later. The show focusses on Digital Asset Management and the attendees are more interested in the applications and content than the actual data. That did not make the discussion any less interesting. From Sarah Berndt of Johnson Space Center we learned a *lot* about the importance of metadata, an issue that would be discussed at SNW Europe as well (see further). Interesting newcomer on the panel was Dalet, a DAM vendor who integrate with many Object Storage platforms and see a clear benefit of having their platform interface with a scale-out storage pool directly (REST) rather than through an additional file system. Dalet is the perfect valet in my car analogy that is becoming more and more popular: a file system is like a public parking lot where you have to go find your car yourself (this once took me a few hours in Paris’ CDG airport). Object storage is much more like valet parking, where you get a ticket when you leave your car and use that ticket to get it back later. The application, Dalet, is the valet.

At SNWUSA in Santa Clara in October we had David Chapa of Quantum on board for the firs time. David is an authority to explain the use cases where tape is the better alternative and when it is better to use Object Storage, or Wide Area Storage (WAS) as Quantum calls it. WAS is Quantum’s attempt to take away the confusion caused by the name Object Storage, a term first used by EMC almost a decade ago. I think it’s a good idea of Quantum to try to introduce a new term, I’m not sure WAS is the best choice though. Maybe something new will come up next month at Greg Duplessie’s Object Storage summit, although I doubt it. Once we kind of agreed that this generation of Object Storage, or whatever it will be called later, has very little or nothing to do with EMC’s product line that was most famous for locking-in customers, the conversation took a very sudden change. In an attempt to spice up the discussion, Ranajit Nevatia of Panzura claimed Object Storage provides very bad performance. This was very much true for the first generation of Object Storage platforms we just discussed and might be true of the platforms they currently promote (including Atmos, EMC’s second attempt at Object Storage), but not at all for the technologies that are most successful on the market today. Scality have been promoting their high IOPS (smaller files, IO intensive workloads). Amplidata  focus more on large file storage, which is IMO the more obviouse use case for Object Storage, but I may be biassed. In a recent independent test, Amplidata demonstrated throughout numbers that can only be called “extremely high-performant”. Howard Marks confirmed Amplidata provides 1 GB/s of throughput with a single controller. But it gets better: Amplidatas scale throughput linearly by adding more controllers. So a system with 6 controllers provides 6 GB/s of throughput.

Last week’s panel at SNW Europe, which is traditionally well attended by press and analysts, was again very interactive. Robin Harris set the stage explaining how this generation of Object Storage is different from earlier products. This led to a lengthy discussion about API’s, a call for one standard API (I say let’s just all standardize on Amazon) and complaints about lock-ins by … yes, EMC. Vendors be warned, that trick is getting old and is not getting any respect. The audience included some of the better analysts and bloggers, including the451′s Simon Robinson and Storagebod. The latter, known for being a critic of the Object Storage paradigm (with great arguments), helped us bring the discussion to the next level by bringing up interesting topics such as the importance of metadata for the applications: who/what will enter metadata? The application? People? The panel acknowledged that, while applications already generate quite some metadata, companies will have to make business decisions on how much metadata they need. Adding more metadata comes at a cost as it will require manual work. The day after the panel, it was interesting to see Chris Mellor be critical of Object Storage in his review of the show (how dare the Object Storage vendors doubt the many benefits of tape?). Chris, join us on the panel next time!

Read the original blog entry...

About Tom Leyden
Tom Leyden is VP Product Marketing at Scality. Scality was founded in 2009 by a team of entrepreneurs and technologists. The idea wasn’t storage, per se. When the Scality team talked to the initial base of potential customers, the customers wanted a system that could “route” data to and from individual users in the most scalable, efficient way possible. And so began a non-traditional approach to building a storage system that no one had imagined before. No one thought an object store could have enough performance for all the files and attachments of millions of users. No one thought a system could remain up and running through software upgrades, hardware failures, capacity expansions, and even multiple hardware generations coexisting. And no one believed you could do all this and scale to petabytes of content and billions of objects in pure software.

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The cloud computing infrastructure and platform market is expected to be a $43 billion market by 2018 and account for 11% of enterprise IT spending. At this point in the war we can say that AWS is the winner of the cloud infrastructure market segment only. The platform market (and what I believe is the more lucrative segment) is still up for grabs. The recent revenue announcement by AWS demonstrates what they mean for the industry and their focus on cloud since the beginning has given AWS leadership status. Microsoft and Google, of course, have been working hard, albeit lagging, in the battle ...
DoubleDown Interactive, a provider of online free-to-play casino games, needs to process huge amounts of streaming event data from their games and make that data rapidly available to data scientists and analysts. Hear how Amazon S3 and Snowflake’s Elastic Data Warehouse have made it possible for DoubleDown to deploy a reliable, scalable data architecture for their analytics needs. You’ll learn how Amazon S3 and Snowflake technology help address key challenges in building data pipelines and processing data and how DoubleDown combines Amazon Kinesis, S3, and Snowflake to ingest, store, and proc...
Mobile, social, Big Data, and cloud have fundamentally changed the way we live. “Anytime, anywhere” access to data and information is no longer a luxury; it’s a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver meaningful services to the business and customers. New tools, technologies, and frameworks have evolved recently to help manage rapid shifts in the technology landscape, but they’re only as good as the underlying processes that exist within the organization. As lines of business change or add requiremen...
It was recently revealed that Linux-powered drones were released which has unveiled a new frontier for open source software. Drone control, once limited to proprietary software, has now entered the open source realm. This opens up new possibilities of more flexible platforms for many Internet-connected objects as well as sparking conversation among the open source community about its potential relationship with the Internet of Things (IoT). Open source software has allowed drone builders and programmers to create a platform using a free open source software development kit. In some cases, i...
In “Thinking Like a Data Scientist – Part I”, we examined the challenges for getting the business users to think like data scientists when contemplating where and how to leverage big data to drive business value. We introduced a “Thinking Like a Data Scientist” process that starts with identifying and understanding the organization’s top-level strategic business initiatives, then uses a “Strategic Nouns” technique to create potential business questions that were descriptive, predictive or in nature.
Do you think development teams really update those BMC Remedy tickets with all the changes contained in a release? They don't. Most of them just "check the box" and move on. They rose a Risk Level that won't raise questions from the Change Control managers and they work around the checks and balances. The alternative is to stop and wait for a department that still thinks releases are rare events. When a release happens every day there's just not enough time for people to attend CAB meetings and file never-ending streams of CR tickets. Change control can't keep up with development. To ...
The Internet of Things is already changing the way we track fitness, manage our homes, and drive our cars. But while there is considerable discussion around how we securely provision our devices and who will have access to the data they capture, an important topic no one seems to be talking much about is the de-provisioning of smart objects. What happens when I ditch my Fitbit, trade in my connected car, or sell my house with its Nest thermostat, smart fridge and next-generation home security system? How do I manage to remove these smart devices from my life and make sure that no one has acces...
I read an insightful article this morning from Bernard Golden on DZone discussing the DevOps conundrum facing many enterprises today – is it better to build your own DevOps tools or go commercial? For Golden, the question arose from his observations at a number of DevOps Days events he has attended, where typically the audience is composed of startup professionals: “I have to say, though, that a typical feature of most presentations is a recitation of the various open source products and components and how they integrated them to implement their solution. In a word, how they created their ho...
What winning sales organizations do to separate themselves from the competition by creating market advantage through improved user experiences and better information services. The next BriefingsDirect thought-leader interview focuses on what winning sales organizations do to separate themselves from the competition by creating market advantage through improved user experiences and better information services.
Providing the needed data for application development and testing is a huge headache for most organizations. The problems are often the same across companies – speed, quality, cost, and control. Provisioning data can take days or weeks, every time a refresh is required. Using dummy data leads to quality problems. Creating physical copies of large data sets and sending them to distributed teams of developers eats up expensive storage and bandwidth resources. And, all of these copies proliferating the organization can lead to inconsistent masking and exposure of sensitive data.
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Cloud Expo 2011 Allstar Conference Faculty

S.F.S.
Dell

Singer
NRO

Pereyra
Oracle

Ryan
OpSource

Butte
PwC

Leone
Oracle

Riley
AWS

Varia
AWS

Lye
Oracle

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AppZero

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RightScale

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Layer 7 Tech

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NYT

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Oracle

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