Cloud silos after eliminating silos

I love cloud computing. I love the economics and the agility of the cloud and how it changed IT forever. The cloud has solved some of the headaches of IT, notably the silos in operations, the silos in development and the silos in infrastructure.

The virtualization and abstraction of rigid infrastructures and on-premise operations have given birth to X-as-a-Service and Cloud Services. Along with this, comes cloud orchestration, cloud automation, policies, DevOps and plenty more. IT responds well to this and thus, public clouds services like Amazon Web Services, Microsoft Azure, and Google Cloud Platforms are dominating the landscape. Other cloud vendors like Rackspace, SoftLayer, Alibaba Cloud are following the leaders pack offering public, private, hybrid and specialized services as well.

In this pile, we can now see the certain “camps” emerging. Many love Azure Stack and many adore AWS Lambda. Google just had their summit here in Malaysia yesterday, appealing to a green field and looking for new adopters. What we are seeing is we have customers and end users adopting various public cloud services providers, their services, their ecosystem, their tools, their libraries and so on. We also know that many customers and end users having several applications on AWS, and some on Azure and perhaps looking for better deals with another cloud vendor. Multi-cloud is becoming flavour of the season, and that word keeps appearing in presentations and conversations.

Yes, multi-cloud is a good thing. Customers and end users would love it because they can get the most bang for their buck, if only … it wasn’t so complicated. There aren’t many “multi-cloud” platforms out there yet. Continue reading

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. ūüėČ

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 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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Discovery of the 8th element – Element R

I am so blind. After more than 20 years in the industry, I have chosen to be blind to one of the most important elements of data protection and availability. Yet, I have been talking about it over and over, and over again but never really incorporated it into mantra.

Some readers will know that I frequently use these 7 points (or elements) in my approach to storage infrastructure and information management. These are:

  • Availability
  • Performance
  • Protection
  • Accessibility
  • Management
  • Security
  • Compliance

A few days ago, I had an epiphany. I woke up in the morning, feeling so enlightened and yet conflicted with the dumbfounded dumb feeling. It was so weird, and that moment continued to play in my mind like a broken record. I had to let it out and hence I am writing this down now.

Element RRecovery, Resiliency, Restorability, Resumption. That’s the element which I “discovered“. I was positively stunned that I never incorporated such an important element in my mantra, until now. Continue reading

The transcendence of Data Fabric

The Register wrote a damning piece¬†about NetApp a few days ago. I¬†felt it¬†was irresponsible because this is¬†akin to kicking a man when he’s down. It is¬†easy to do that. The writer is clearly missing the forest for the trees. He was targeting NetApp’s Clustered Data ONTAP (cDOT) and missing the entire philosophy of NetApp’s mission and vision in Data Fabric.

I have always been a strong believer that you must treat Data like water. Just like what Jeff Goldblum famously quoted in Jurassic Park, “Life finds a way“, data as it moves through its lifecycle, will find its way into the cloud and back.

And every storage vendor today has a cloud story to tell. It is exciting to listen to everyone sharing their cloud story. Cloud makes sense when it addresses different workloads such as the sharing of folders across multiple devices, backup and archiving data to the cloud, tiering to the cloud, and the different cloud service models of IaaS, PaaS, SaaS and XaaS.

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