Teck Meng Lee

Redefining the Software Defined Data Centre

Blog Post created by Teck Meng Lee on Oct 31, 2016

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Twenty years (and counting) in Information Technology might not sound like a long time, but sometimes it feels that way. Especially when I count up all the different IT waves I’ve seen appear on the horizon, hit the industry and fade away before the next one comes along.

 

In the late 1990s there was the Internet. Then it was virtualization, converged infrastructure, the cloud and big data. The cycle seems to be speeding up, and in recent years we’ve seen IoT, hyper-convergence and digital transformation come along in a blur of development.

 

That begs the question of why we are doing this? And, when you ask business people why they adopt these technologies, the answer is usually because they want to improve efficiency and effectiveness and add value for shareholders.

 

So, it’s ironic that over the last 10 years, global productivity has actually declined (see this recent blog post from my CTO Hu Yoshida).

 

Why is this happening? Well, it could be that IT specialists are spending more of their time learning new technologies, preparation for system migration and planning application upgrades in order to stay relevant. And they are doing all that rather than deriving actual business outcomes.

 

The legacy of recent trends

While many organizations subscribe to the idea of constant learning, expecting an expert in UNIX scripting to learn a “DevOps” type of agile programming is probably carrying this message to the extreme, and vice versa. The fact is that IT administrators of the nineties are trained and skilled differently from the IT graduates who were born in the "cloud-era,” where it’s all about start-fast and fail-fast.

 

This is not to say that one generation of IT professionals is better than the other. In fact, they are equally important in most enterprises today. For instance, many of the applications that were developed during the nineties, such as core-banking, operation support systems and billing support systems are still functioning well today.

 

Unless your company was incorporated in the past ten years, you probably have Linux and enterprise applications, such as Oracle and SAP, in your data centre. Unfortunately, the benefits in migrating these applications to the cloud are limited. Especially since the risks and time spent on resolving security/data sovereignty issues will outweigh any advantages.

 

Riding the wave

So what’s the answer?

 

Well, according to Gartner, the best way forward is to adopt bimodal IT. The modern data centre isn’t just about virtual machines. We also need to take care of all the physical machines and appliances, such as SAP HANA.

 

Or, to put it another way, that means we need to redefine what the Software Data Centre should be like in order to meet the needs of today’s enterprises.

 

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One way to do that is through the Hitachi Unified Compute Platform (UCP). With UCP, companies can support both virtual and physical machines with configurations ranging from a single CPU core to hundreds of them.

 

Unlike most hypervisors, UCP has a partitioning technology called LPAR that is officially supported by both Oracle and SAP. This uniquely allows UCP to be the only platform currently capable of supporting everything – the legacy, current and next generation applications – in the same rack, using the same management tool. Whether you are into bimodal IT or IDC's Leading in 3D (L3D) MaturityScape,  UCP, with its unique ability to bring cloud-like agility to a bare-metal machine, is the only infrastructure you’ll ever need in your data centre.

 

VMware vForum APAC

That might sound like science fiction, but it’s real. It’s here. And most importantly, it allows you to transform your data centre today with no transformation at all.

 

Don’t take my word for it. Come and join Hitachi Data Systems at the VMware vForums taking place across APAC ( see list below) and learn for yourself about the benefits of a bimodal data centre.

 

  • 5 Oct – Mumbai ( India )
  • 27 Oct – Beijing ( China )
  • 2 Nov – Hanoi ( Vietnam )
  • 4 Nov – Hong Kong ( Hong Kong )
  • 9 Nov – Sydney ( Australia )
  • 15 Nov – Singapore ( Singapore )
  • 16 Nov – Jakarta ( Indonesia )
  • 16 Nov – Seoul ( Korea )
  • 24 Nov – Kuala Lumpur ( Malaysia )
  • 8 Dec – Taipei ( Taiwan )

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