Magic happening

[Preamble: I am a delegate of Storage Field Day 15 from Mar 7-9, 2018. My expenses, travel and accommodation are paid for by GestaltIT, the organizer and I am not obligated to blog or promote the technologies presented at this event. The content of this blog is of my own opinions and views]

The magic is happening.

Dropbox, the magical disruptor, is going IPO.

When Dropbox first entered into the market which eventually termed as BYOD (Bring your Own Device), it was a phenomenon. There was nothing else that matched its simplicity and ease-of-use. A file uploaded into the cloud was instantaneously available on the tablets and smart phones. It was on every storage vendor’s presentation slides, using Dropbox as the perennial name dropping tactic to get end users buy-in.

Dropbox was more than that, and it went on to define a whole new market segment known as Enterprise File Synchronization and Sharing (EFSS), together with everybody else such as Box, Easishare (they are here in South East Asia), and just about everybody else. And the executive team at Dropbox knew they were special too, so much so that they rejected a buyout attempt by Apple in 2011.

Today, Dropbox is beyond BYOD and EFSS. They are a full fledged collaboration platform that includes project management, project workflow, file versioning, secure file transfer, smart file synchronization and Dropbox Paper. And they offer comprehensive plans from Basic, Plus and Professional to Business and Enterprise. Their upcoming IPO, I am sure, will give them far greater capital to expand, and realize their full potential as the foremost content-based collaboration platform in the world.

Dropbox began their exodus from AWS a couple of years ago. They wanted to control their destiny and have moved more than 500PB into their own private data center for their customer data. That was half-an-exabyte, people! And two years later, they saved $75million of operating costs after they exited AWS. Today, they have more than 1 Exabyte of customer data! That is just incredible.

And Dropbox’s storage architecture started with a simple foundational design called “Magic Pocket“. Magic Pocket is a “fixed-length, immutable” block storage layer.

The block size is fixed at 4MB chunks (for parallel performance and service resumption reasons), compressed and deduped (for capacity savings reasons), encrypted (for security reasons) and replicated (for high availability reasons).

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Storage dinosaurs evolving too

[Preamble: I am a delegate of Storage Field Day 15 from Mar 7-9, 2018. My expenses, travel and accommodation are paid for by GestaltIT, the organizer and I am not obligated to blog or promote the technologies presented at this event. The content of this blog is of my own opinions and views]

I have been called a dinosaur. We storage networking professionals and storage technologists have been called dinosaurs. It wasn’t offensive or anything like that and I knew it was coming because the writing was on the wall, … or is it?

The cloud and the breakneck pace of all the technologies that came along have made us, the storage networking professionals, look like relics. The storage guys have been pigeonholed into a sunset segment of the IT industry. SAN and NAS, according to the non-practitioners, were no longer relevant. And cloud has clout (pun intended) us out of the park.

I don’t see us that way. I see that the Storage Dinosaurs are evolving as well, and our storage foundational knowledge and experience are more relevant that ever. And the greatest assets that we, the storage networking professionals, have is our deep understanding of data.

A little over a year ago, I changed the term Storage in my universe to Data Services Platform, and here was the blog I wrote. I blogged again just before the year 2018 began.


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My dilemma of stateful storage marriage

I should be a love match maker.

I have been spending much hours in the past few months, thinking of stateful data in stateful storage containers and how they would consummate with distributed applications containers and functions-as-a-service (aka serverless, aka Lambda). It still hasn’t made much sense, and I have not solved this problem yet. Although there were bits and pieces that coming together and the jigsaw looked well enough to give a cackled reply, what I have now is still not good enough for me. I am still searching for answers, better than the ones I have now.

The CAP theorem is in center of my mind. Distributed data, distributed states of data are on my mind. And by the looks of things, the computing world is heading towards containers and serverless computing too. Both distributed applications containers and serverless computing make a lot of sense. If we were to engage a whole new world of fog computing, edge computing, IoT, autonomous systems, AI, and other real-time computing, I would say that the future belongs to decentralization. Cloud Computing and having edge systems and devices getting back to the cloud for data is too slow. The latency of micro- or even nano-seconds is just not good enough. If we rely on the present methods to access the most relevant data, we are too late.

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Of Object Storage, Filesystems and Multi-Cloud

Data storage silos everywhere. The early clarion call was to eliminate IT data storage silos by moving to the cloud. Fast forward to the present. Data storage silos are still everywhere, but this time, they are in the clouds. I blogged about this.

Object Storage was all the rage when it first started. AWS, with its S3 (Simple Storage Service) offering, started the cloud storage frenzy. Highly available, globally distributed, simple to access, and fitted superbly into the entire AWS ecosystem. Quickly, a smorgasbord of S3-compatible, S3-like object-based storage emerged. OpenStack Swift, HDS HCP, EMC Atmos, Cleversafe (which became IBM SpectrumScale), Inktank Ceph (which became RedHat Ceph), Bycast (acquired by NetApp to be StorageGrid), Quantum Lattus, Amplidata, and many more. For a period of a few years prior, it looked to me that the popularity of object storage with an S3 compatible front has overtaken distributed file systems.

What’s not to like? Object storage are distributed, they are metadata rich (at a certain structural level), they are immutable (hence secure from a certain point of view), and some even claim self-healing (depending on data protection policies). But one thing that object storage rarely touted dominance was high performance I/O. There were some cases, but they were either fronted by a file system (eg. NFSv4.1 with pNFS extensions), or using some host-based, SAN-client agent (eg. StorNext or Intel Lustre). Object-based storage, in its native form, has not been positioned as high performance I/O storage.

A few weeks ago, I read an article from Storage Soup, Dave Raffo. When I read it, it felt oxymoronic. SwiftStack was just nominated as a visionary in the Gartner Magic Quadrant for Distributed File Systems and Object Storage. But according to Dave’s article, Swiftstack did not want to be “associated” with object storage that much, even though Swiftstack’s technology underpinning was all object storage. Strange.

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Pure Electric!

I didn’t get a chance to attend Pure Accelerate event last month. From the blogs and tweets of my friends, Pure Accelerate was an awesome event. When I got the email invitation for the localized Pure Live! event in Kuala Lumpur, I told myself that I have to attend the event.

The event was yesterday, and I was not disappointed. Coming off a strong fiscal Q1 2018, it has appeared that Pure Storage has gotten many things together, chugging full steam at all fronts.

When Pure Storage first come out, I was one of the early bloggers who took a fancy of them. My 2011 blog mentioned the storage luminaries in their team. Since then, they have come a long way. And it was apt that on the same morning yesterday, the latest Gartner Magic Quadrant for Solid State Arrays 2017 was released.

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The changing face of storage

No, we are not a storage company anymore. We are a data management company now.

I was reading a Forbes article interviewing NetApp’s CIO, Bill Miller. It was titled:

NetApp’s CIO Helps Drive Company’s Shift From Data Storage To Data Management

I was fairly surprised about the time it took for that mindset shift messaging from storage to data management. I am sure that NetApp has been doing that for years internally.

To me, the writing has been in the wall for years. But weak perception of storage, at least in this part of Asia, still lingers as that clunky, behind the glassed walls and crufty closets, noisy box of full of hard disk drives lodged with snakes and snakes of orange, turquoise or white cables. 😉

The article may come as a revelation to some, but the world of storage has changed indefinitely. The blurring of the lines began when software defined storage, or even earlier in the form of storage virtualization, took form. I even came up with my definition a couple of years ago about the changing face of storage framework. Instead of calling it data management, I called the new storage framework,  the Data Services Platform.

So, this is my version of the storage technology platform of today. This is the Data Services Platform I have been touting to many for the last couple of years. It is not just storage technology anymore; it is much more than that.

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Can NetApp do it a bit better?

[Preamble: I was a delegate of Storage Field Day 12. My expenses, travel and accommodation were paid for by GestaltIT, the organizer and I was not obligated to blog or promote the technologies presented in this event]

In Day 2 of Storage Field Day 12, I and the other delegates were hustled to NetApp’s Sunnyvale campus headquarters. That was a homecoming for me, and it was a bit ironic too.

Just 8 months ago, I was NetApp Malaysia Country Manager. That country sales lead role was my second stint with NetApp. I lasted almost 1 year.

17 years ago, my first stint with NetApp was the employee #2 in Malaysia as an SE. That SE stint went by quickly for 5 1/2 years, and I loved that time. Those Fall Classics NetApp used to have at the Batcave and the Fortress of Solitude left a mark with me, and the experiences still are as vivid as ever.

Despite what has happened in both stints and even outside the circle, I am still one of NetApp’s active cheerleaders in the Asia Pacific region. I even got accused by being biased as a community leader in the SNIA Malaysia Facebook page (unofficial but recognized by SNIA), because I was supposed to be neutral. I have put in 10 years to promote the storage technology community with SNIA Malaysia. [To the guy named Stanley, my response was be “Too bad, pick a religion“.]

The highlight of the SFD12 NetApp visit was of course, having lunch with Dave Hitz, one of the co-founders and the one still remaining. But throughout the presentations, I was unimpressed.

For me, the only one which stood out was CloudSync. I have read about CloudSync since NetApp Insight 2016 and yes, it’s a nice little piece of data shipping service between on-premise and AWS cloud.

Here’s how CloudSync looks like:

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The engineering of Elastifile

[Preamble: I was a delegate of Storage Field Day 12. My expenses, travel and accommodation were paid for by GestaltIT, the organizer and I was not obligated to blog or promote the technologies presented in this event]

When it comes to large scale storage capacity requirements with distributed cloud and on-premise capability, object storage is all the rage. Amazon Web Services started the object-based S3 storage service more than a decade ago, and the romance with object storage started.

Today, there are hundreds of object-based storage vendors out there, touting features after features of invincibility. But after researching and reading through many design and architecture papers, I found that many object-based storage technology vendors began to sound the same.

At the back of my mind, object storage is not easy when it comes to most applications integration. Yes, there is a new breed of cloud-based applications with RESTful CRUD API operations to access object storage, but most applications still rely on file systems to access storage for capacity, performance and protection.

These CRUD and CRUD-like APIs are the common semantics of interfacing object storage platforms. But many, many real-world applications do not have the object semantics to interface with storage. They are mostly designed to interface and interact with file systems, and secretly, I believe many application developers and users want a file system interface to storage. It does not matter if the storage is on-premise or in the cloud.

Let’s not kid ourselves. We are most natural when we work with files and folders.

Implementing object storage also denies us the ability to optimally utilize Flash and solid state storage on-premise when the compute is in the cloud. Similarly, when the compute is on-premise and the flash-based object storage is in the cloud, you get a mismatch of performance and availability requirements as well. In the end, there has to be a compromise.

Another “feature” of object storage is its poor ability to handle transactional data. Most of the object storage do not allow modification of data once the object has been created. Putting a NAS front (aka a NAS gateway) does not take away the fact that it is still object-based storage at the very core of the infrastructure, regardless if it is on-premise or in the cloud.

Resiliency, latency and scalability are the greatest challenges when we want to build a true globally distributed storage or data services platform. Object storage can be resilient and it can scale, but it has to compromise performance and latency to be so. And managing object storage will not be as natural as to managing a file system with folders and files.

Enter Elastifile.

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Let’s smoke the storage peace pipe

NVMe (Non-Volatile Memory Express) is upon us. And in the next 2-3 years, we will see a slew of new storage solutions and technology based on NVMe.

Just a few days ago, The Register released an article “Seventeen hopefuls fight for the NVMe Fabric array crown“, and it was timely. I, for one, cannot be more excited about the development and advancement of NVMe and the upcoming NVMeF (NVMe over Fabrics).

This is it. This is the one that will end the wars of DAS, NAS and SAN and unite the warring factions between server-based SAN (the sexy name differentiating old DAS and new DAS) and the networked storage of SAN and NAS. There will be PEACE.

Remember this?

nutanix-nosan-buntingNutanix popularized the “No SAN” movement which later led to VMware VSAN and other server-based SAN solutions, hyperconverged techs such as PernixData (acquired by Nutanix), DataCore, EMC ScaleIO and also operated in hyperscalers – the likes of Facebook and Google. The hyperconverged solutions and the server-based SAN lines blurred of storage but still, they are not the usual networked storage architectures of SAN and NAS. I blogged about this, mentioning about how the pendulum has swung back to favour DAS, or to put it more appropriately, server-based SAN. There was always a “Great Divide” between the 2 modes of storage architectures. Continue reading

Can CDMI emancipate an interoperable medical records cloud ecosystem?

PREFACE: This is just a thought, an idea. I am by no means an expert in this area. I have researched this to inspire a thought process of how we can bring together 2 disparate worlds of medical records and imaging with the emerging cloud services for healthcare.

Healthcare has been moving out of its archaic shell in the past few years, and digital healthcare technology and services are booming. And this movement is part of the digital transformation which could eventually lead to a secure and compliant distribution and collaboration of health data, medical imaging and electronic medical records (EMR).

It is a blessing that today’s medical imaging industry has been consolidated with the DICOM (Digital Imaging and Communications in Medicine) standard. DICOM dictates the how medical imaging information and pictures are used, stored, printed, transmitted and exchanged. It is also a communication protocol which runs over TCP/IP, and links up different service class providers (SCPs) and service class users (SCUs), and the backend systems such as PACS (Picture Archiving & Communications Systems) and RIS (Radiology Information Systems).

Another well accepted standard is HL7 (Health Level 7), a similar Layer 7, application-level communication protocol for transferring and exchanging clinical and administrative data.

The diagram below shows a self-contained ecosystem involving the front-end HIS (Hospital Information Systems), and the integration of healthcare, medical systems and other DICOM modalities.

Hospital Enterprise

(Picture courtesy of Meddiff Technologies)

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