The new IT Landscape


A view from the Infrastructure

In the last 15 years the Infrastructure landscape was defined by demands of the business. This will of course not change. However the approach that one business line demands middleware X another middleware Y will stop. There is a profound reason for that.

In the last couple of years the physic run the Infrastructure has dramatically comodiasied. This has reach a point where the saving for large enterprise no

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longer get in significant dimensions. The efficiency thru Server Virtualization and nowadays Storage Virtualization has reached in some enterprises more than 80%. With new storage and server orchestration layers and additional concepts like the enterprise hybrid cloud (EHC) this can be tweaked more, but needs first a different approach to the IT operation.

Key here is private cloud, which is similar to the public could offerings, of course on premise.

So what is the catch?

Mainly the operation. In the traditional datacenter, many enterprises and global operational IT departments have build a structure to map the silos approach of the LoB (Line of Business). You will find functions focused on Server, Storage, Networking, Databases, Middleware etc. Each of them have coordination functions with the LoB and cross functional sections. Lost of talks I have with those entities in the IT department always claim that they can do that better than external companies like VCE, which offers converged Infrastructure. Also many of them hide behind the “vendor-lock-in” argument.

On the other side we see that this cost the companies a fortune. Often this IT departments cover 70% of their cost with this, or the other way they can save a lot of that.

What has changed ?

With the concept of “as-a-service”, IT has the ability to automate many tasks and build a software layer as the final governance. With new concept of SLA build into the Software defined components IT personal no longer has to pan, define think-about and run it. Combined with the Converged Infrastructure and the possibilities of Software defined it changes the silos approach to an more holistic view of the datacenter. This does not only save cost and transport test and development of the infrastructure back to the vendor, it also allows higher integration of resources to drive more efficiency.

How does LoB react ?

Often they already there. With offerings of a public cloud the development of new software happens in this organizations often without the IT department involvement. This is a major concern of the CIO and CDO which I here very often. LoB´s look at the business outcome, they have alternatives to the internal IT now and they move off.

So what is next?

From ym view a lot will come in to analyze of the current state of the IT department and how mature this is already in the as-a-service transformation. There are various of offerings like the IT Transformation Workshop of EMC to define and reshape the IT landscape. Have a look at that.

So what with the applications?

Not so simple. There will be three types of applications found in many of the enterprises.

Applications which only deliver information, exist because of historical reasons. Others are monolithic large Enterprise Apps, like SAP, or Oracle Applications the thrid one are new apps for the new business lines touching Web, Mobile, social and cloud.IT-Transformation-Storymap1

For the first, I would retire them and replace that by a database delivering the results. Maybe there are apps no longer used, but nobody realize that? Shut them down. The 2nd kind is more tricky, and have to looked at case by case build a migration strategy and this may take some mont/years. The last I would put immediately on the new concept of Infrastructure.

So what is the key characteristics of this infrastructure?

Automation and orchestration, comodization and standardization. To drive more cost out of the IT the next generation of architecture have to follow this rules. More that that it has to build an independent layer between the physic and the applications. An interface between the resources and the applications. Efficiency and time to provisioning can be only gained with automation. Modern architecture drive provisioning down from weeks to days or even hours, defining the SLA and report back the cost of the selected SLA`s. Also it reports back whether a service breached the SLA or has performed in the payed and agreed parameters.

Finally all this journey start with the ability of the IT department to change and understand the journey of the private cloud.

Image courtesy of pro-physic.de, EMC Corporation

Read More:

http://itblog.emc.com/category/it-transformation/

https://blogs.vmware.com/cloudops/it-transformation

Was Spock the first Data Analyst?


The last couple of years a discussion around the information society has started. Since more people enter data around their lives as well our planet, it was obvious that business start to leverage this trend and added more data; like Google scanned the library of Congress, mapped the planet including the oceans. Nowadays this is topped. Data combination and new streams of information are provided, some free some for purchase.

Now in the Star Trek series the chief scientist, called Spock, has the task to gather as many as possible data streams delivered on the starship, combine it with the knowledge of a huge computer library and dr

Vulcan (Star Trek)

Vulcan (Star Trek) (Photo credit: Wikipedia)

aw conclusions of it, in real-time. In this series the logic and an ability to draw fast conclusions for the captain to make relevant decisions where key for survival.

In modern business the survival of companies depend on fast, exact, agile conclusions.  Modern technologies like the Chorus a product of Greenplum enables businesses of all sizes to gain insight on markets, customers, competition etc. was it in the past that this could be done on a long time frame today’s businesses move toward a continuous optimization and adoption of the GTM and their portfolios.

To enable an agile business process leader of companies have to gather as many streams of data around your business combine it with insight knowledge and make the tough decisions.

Specialists that turn this data into information where decisions will be drawn from so called data analyst, while the identifying of relevant data streams out of white noise is the job of a data scientist.

Of course today the time between analyze and decision-making is not quite short like it was often at the Enterprise, but the trend of more and faster data generation as well as access, more agile business grow as startups and compete with the established ones.

Looking on trends in IT departments of enterprises of all kinds, the desire for more agility leads to a cloud approach. This is only the first step, the last state is to be in the middle of the data universe and navigate their Enterprise thru the business solar system. The input will be overwhelming, new processes for sensors input needed to be developed and the crew aligned to the new command structure.

The engineering section, we would call it infrastructure, has to offer flexible and agile systems to answer the requests fast and right. One Key to success is automation, orchestration and standardization, and not dictation and a silo approach. Scotty will most probably fit into a data scientist role.

Star Trek: Phase II

Star Trek: Phase II (Photo credit: Wikipedia)

CIO´s will more become like captains to understand the challenges in this new space and align the crew and the rest of the ship to needs of the next decade. When cloud computing is the engine for agility, Big Data is the survival kit for the enterprise in the future. So Spock and Scotty are the two main assets of modern Enterprises  and James T. Kirk has drawn the right decisions from them, always.

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