Industry 4.0 secret gem with Dell

[Preamble: I have been invited by Dell Technologies as a delegate to their upcoming Dell Technologies World from Apr 30-May 2, 2018 in Las Vegas, USA. My expenses, travel and accommodation will be paid by Dell Technologies, the organizer and I was not obligated to blog or promote the technologies presented at this event. The content of this blog is of my own opinions and views]

This may seem a little strange. How does Industry 4.0 relate to Dell Technologies?

Recently, I was involved in an Industry 4.0 consortium called Data Industry 4.0 (di 4.0). The objective of the consortium is to combine the foundations of 5S (seiri, seiton, seiso, seiketsu, and shitsuke), QRQC (Quick Response Quality Control) and Kaizen methodologies with the 9 pillars of Industry 4.0 with a strong data insight focus.

Industry 4.0 has been the latest trend in new technologies in the manufacturing world. It is sweeping the manufacturing industry segment by storm, leading with the nine pillars of Industry 4.0:

  • Horizontal and Vertical System Integration
  • Industrial Internet of Things
  • Simulation
  • Additive Manufacturing
  • Cloud Computing
  • Augmented Reality
  • Big Data and Analytics
  • Cybersecurity
  • Autonomous Robots

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Own the Data Pipeline

[Preamble: I was a delegate of Storage Field Day 15 from Mar 7-9, 2018. My expenses, travel and accommodation were paid for by GestaltIT, the organizer and I was 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 am a big proponent of Go-to-Market (GTM) solutions. Technology does not stand alone. It must be in an ecosystem, and in each industry, in each segment of each respective industry, every ecosystem is unique. And when we amalgamate data, the storage infrastructure technologies and the data management into the ecosystem, we reap the benefits in that ecosystem.

Data moves in the ecosystem, from system to system, north to south, east to west and vice versa, random, sequential, ad-hoc. Data acquires different statuses, different roles, different relevances in its lifecycle through the ecosystem. From it, we derive the flow, a workflow of data creating a data pipeline. The Data Pipeline concept has been around since the inception of data.

To illustrate my point, I created one for the Oil & Gas – Exploration & Production (EP) upstream some years ago.

 

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NetApp and IBM gotta take risks

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

Storage Field Day 15 was full of technology. There were a few avant garde companies in the line-up which I liked but unfortunately NetApp and IBM were the 2 companies that came in at the least interesting end of the spectrum.

IBM presented their SpectrumProtect Plus. The data protection space, especially backup isn’t exactly my forte when it comes to solution architecture but I know enough to get by. However, as IBM presented, there were some many questions racing through my mind. I was interrupting myself so much because almost everything presented wasn’t new to me. “Wait a minute … didn’t Company X already had this?” or “Company Y had this years ago” or “Isn’t this…??

I was questioning myself to validate my understanding of the backup tech shared by the IBM SpectrumProtect Plus team. And they presented with such passion and gusto which made me wonder if I was wrong in the first place. Maybe my experience and knowledge in the backup software space weren’t good enough. But then the chatter in the SFD15 Slack channel started pouring in. Comments, unfortunately were mostly negative, and jibes became jokes. One comment, in particular, nailed it. “This is Veeam 0.2“, and then someone else downgraded to version 0.1.

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Cohesity SpanFS – a foundational shift

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

Cohesity SpanFS impressed me. Their filesystem was designed from ground up to meet the demands of the voluminous cloud-scale data, and yes, the sheer magnitude of data everywhere needs to be managed.

We all know that primary data is always the more important piece of data landscape but there is a growing need to address the secondary data segment as well.

Like a floating iceberg, the piece that is sticking out is the more important primary data but the larger piece beneath the surface of the water, which is the secondary data, is becoming more valuable. Applications such as file shares, archiving, backup, test and development, and analytics and insights are maturing as the foundational data management frameworks and fast becoming the bedrock of businesses.

The ability of businesses to bounce back after a disaster; the relentless testing of large data sets to develop new competitive advantage for businesses; the affirmations and the insights of analyzing data to reduce risks in decision making; all these are the powerful back engine applicability that thrust businesses forward. Even the ability to search for the right information in a sea of data for regulatory and compliance reasons is part of the organization’s data management application.

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Commvault UDI – a new CPUU

[Preamble: I am a delegate of Storage Field Day 14. 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 am here at the Commvault GO 2017. Bob Hammer, Commvault’s CEO is on stage right now. He shares his wisdom and the message is clear. IT to DT. IT to DT? Yes, Information Technology to Data Technology. It is all about the DATA.

The data landscape has changed. The cloud has changed everything. And data is everywhere. This omnipresence of data presents new complexity and new challenges. It is great to get Commvault acknowledging and accepting this change and the challenges that come along with it, and introducing their HyperScale technology and their secret sauce – Universal Dynamic Index.

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Commvault calling again

[Preamble: I will be a delegate of Storage Field Day 14. My expenses, travel and accommodation are paid for by GestaltIT, the organizer and I am not obligated to blog or promote the technologies presented in this event]

I am off to the US again next Monday. I am attending Storage Field Day 14 and it will be a 20+ hour long haul flight. But this SFD has a special twist, because I will be Washington DC first for Commvault GO 2017 conference. And I can’t wait.

My first encounter with Commvault goes way back in early 2001. I recalled they had their Galaxy version but in terms of market share, they were relatively small compared to Veritas and IBM at the time. I was with NetApp back then, and customers in Malaysia hardly heard of them, except for the people in Shell IT International (SITI). For those of us in the industry, we all knew that SITI worldwide had an exclusive Commvault fork just for them.

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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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