My top 10 anticipations for 2013


The cloud will emerge in all parts of the IT

More services have been emerged in 2012, the adoption will drive more cloud, and more cloud offerings will parer. This circle will speed-up and drive more Enterprises in evaluating the next private cloud.

bigdata_network

The engine will be build in the manufacturing not at customer premise

In many enterprises 2012 has started a evaluation of converged infrastructure. Since most of the used components are standardized the „build on customer site“ or „do-it-by-myself“ will be more and more questioned by the CFO. Like in the past where whole servers where build by locals or enterprises itself, it is obvious that the purchasing department will have a different look when it comes to TCO. This will also start to include backup and security.  The order will be moving to workloads and software demands rather than core´s and PB of storage or Network interconnects. The VCE model will become the standard delivery methods for modern DC architectures.

Consummation of IT will drive more business adoption in the cloud

The DC will have more direct contact with the end customers. This was in 2012 one of the main drivers, build thru Google/Android and Apple/iCloud. This will move faster. The new paradigm enables enterprises to optimize cost and optimize the business model when direct talk to the end-customers. In 2013 we will see that this shifts also into computer-to-computer relationships. The interaction of b2b mash will lead to faster purchasing and information flow to optimize the business, and early adopter will be the winners. Key here is an agile IT infrastructure.

Cloud will feed BigData, BigData will enable more cloud

Each one is depended from another. With more cloud, the information streams are better to combine for BigData Analysis, with more BigData analysis and applications, more agile computing environments (called cloud) are necessary. This will be a big trend, but depending on the industry. New businesses will learn to use the information streams, new forms of analytics will be generated to enhance the processes and decision making progress.

Flash will be leading the storage industry

The last years flash was used as replacement for spinning disk. This has a huge impact in performance and utilization of computing power. Man-years of brain power where spent to develop smart algorithms to leverage the new TIER in the storage. This will continue to evolve and with the drop in price and increase of capacity the market will grow dramatically. However flash has not only be squeezed into  spinning disk, it also allowed to transform and implement new algorithm´s to utilize the power of flash. When IO´s no longer the limiting factor, CPU power can be used to leverage the performance in the storage system to do much more tasks which delivering high performance to the server´s.

The CIO will refocus on the core: the Information

With all the changes in IT, the transformation of the roles in the IT management will not stop. Since the DC gravitate to the information it is obvious to see that the CIO will be the master of the information. Not only the information processing in the own DC also the information needed form outside, like BigData applications, also informations given to outside, i.e. to customers. New technologies like the app horizon manager from VMware will support this transition and the CIO and team will be transformed into the information broker, security agent and consultant for the business lines.

Standardization will enable more productivity

One aspect of going from private cloud to hybrid is the standardization. Many companies, like Microsoft, Google or Amazon u.o. define the API and push them as de-facto standard. Experience showed that the early adopter often drive this, but run against a wall in a couple of years. Ethernet/IP and FC would not have been so  broadly accepted if there was not a standards body formed. We see currently various associations to  take on the role in the cloud, like the SNIA organization. This is the only way to help the DC out of the „do it by my self“ and focus on more business relevant tasks. The engine (converged infrastructure) will be developed and assembled in the vendors premise and the Enterprise DC managers can focus on the utilization.

The storm on clouds will drive orchestration

When, in the past, virtualization was introduced to customers, the VM landscape was able to be controlled by man kind. It is similar to the SAN in the early 2000´s when the storage array was still close to a server. This will continue to chance, when we will see 10.000 of VM´s in modern DC architectures. The orchestration will lead to the agility which is necessary to drive more business flexibility. Vendors, led by VMware,  will provide here more sophisticated solutions to automate.

Keys.

Keys. (Photo credit: Bohman)

Security and Trust will be in the middle of everything

Since Information is the key, like it was in the past but now it is a more open world, to secure is one of the key elements. The business will ask for answers, and companies like RSA will lead the way. Not only to secure also to trust other organizations is essential. With new regulations and demands of the business information has to be more trustworthy.

InMemory systems will draw investments from infrastructure

Since InMemory systems show more demand on the „main“-Memory than Hi-IO rates, it will re-architect the infrastructure in this area. 2013 will show if this new technologies will add new fields of applications or replace other. Technologies like GemFire, Hana u.o. will drive faster decision making and new infrastructure architectures. Combined with flash companies like SAP and EMC will drive the Industry here.

Enhanced by Zemanta

Learn from the past, think about the future, but live in the now !


When I prepared for my last tests at the University, one of my professors mentioned that they intend not to guide us to find good jobs immediately after the University, the key is that we as graduates have longer term chances to find and keep excellent jobs. At this time I thought it was stupid, my profession starts with my first job and not in 10 years.

Die of an Intel 80486DX2 microprocessor (actua...

Die of an Intel 80486DX2 microprocessor (actual size: 12×6.75 mm) in its packaging. (Photo credit: Wikipedia)

Time showed to me, that it is key to have both in mind when you start and it is essential to stay laser sharp focused.

Same in datacenters, when CIO´s get confronted with the new reality of BYOD, data deluge, cyber attacks and complexity explosion. Positions and processes years worked no longer seem accurate, personal gets confused, and the business units claim to have often more IT knowledge, since they use flexible services on the Internet. The CIO´s and IT managers I talked to often seek for external help, call consultants, which tell them that all has to change, processes has to be reworked and the HC has to decrease.

What a challenge!

Most people underestimate the finest attitude mankind has is: the best ability to change and adapt. Of course this is not easy, people like to be in the comfort zone, don`t like to get moved or learn new skills, move on and modify, even they do this all their lifes.

Most successful IT organizations I know have arranged with that to a superlative, taken the employees on the road and established a culture of change. As we learn from the past the change never stops, we moved from monolithic mainframes to mini´s to server to PC and now to tablets; from proprietary OS to open source from complex instructions CPU´s to RISC and back, from multiple CPU architectures, to multiple server to multiple core architectures. From ASCII terminals to mouse driven interactive PC´s to gesture tablets. From 640 KB RAM to Tb of RAM, from 5 MB Disk drive to 4 TB and now flash technology. So we know the past, we understand that telecommunication 10 years ago has been an enterprise asset and now is an outsourced, VOIP driven business.

So what will the future bring to plan, new devices, like the Google glasses, faster storage, from keyboards to voice driven interaction with computers, to InMemory DB build in CloudOS, from Applications to functions, from physical infrastructures topologies and silos, to software defined datacenters. From Application centric approach to information centric concepts, from blade farms to virtual workloads which independent from the blades will be executed?

We will see computer talk to computers, make decisions for us, devices will generate information, which only relevant for seconds. Batch processing will become too slow to keep pace;

This image was selected as a picture of the we...

This image was selected as a picture of the week on the Farsi Wikipedia for the 13th week, 2011. (Photo credit: Wikipedia)

it will be replaced thru bigdata algorithms.

On the consumption model we will purchase only what we consume, vendors have to deal with end customers enterprises will move legacy workloads to specialized and focused workbenches, all information has to be secured and trusted to be transferred.

So the key for the future will all about information, generates, capture, store, manipulate, destroy and analyze, we call it the gravity is on information.

Based on that, CIO´s and IT managers have to and do act in the now, to prepare. Build an agile infrastructure, make our investments in the Datacenter on skills, new technology, information and big data, that supports the workload management and secure the information, which this is critical to the enterprise or the privacy of an employee or customer. Investments in IT of an enterprise should help to build and prepare an agile datacenter around the information to be ready for the near future and bejond.

Enhanced by Zemanta

Software defined Networks, The last mile for the infrastructure.


With technologies like storage virtualization, or server virtualization new topological and cost effective management of resources have been enabled. In recent history this has happened a disruptive IT operation change in most of the companies. The last missing point was Network Virtualization.

In the past networks where always defined thru protocols. These helped to drive the implementation in silicon, like it was in the processor a decade before. The other effect was that innovation was hindered since everything has to be aligned with the protocol standard.

However, with definition of SDN the protocol stack will be hidden behind the topology and new ways of networking can be archived. Like in Storage virtualization the innovation came with it.

                Source: slashdot

In the next years, the arguments around various concepts of virtualization will arise, and there will be more than one champion, but with the acquisition of Nicira, VMware will lead the way.   

EMC and VMware have now all components to enable Enterprise customer and SI´s to deploy their own stack of ITaaS ((I,P,S,M)aaS) to drive the private cloud and enable the hybrid approach.

With all the technology the key is to enable the business for more agility and diversification, faster GTM and more advanced offerings without IT dependence, we tend to call this of the BigData.

SDN opens the dimension for better data coverage, restful services and more integration of concepts without dependency of Hardware.

Enterprise can now continue the Journey, and leverage the resources from the infrastructure more cost efficient and agile than it was able in the past. For VMware it is the right step towards a true cloud OS.

Enhanced by Zemanta

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.

Enhanced by Zemanta

BigData is Energy


Mankind is searching for energy since we have been crawl out o the sea. Naturally consuming various forms of energy to grow, to work to heat and other necessary items for life improvements. Over the time, we as a life form have achieved to collect more energy than we need for our basal metabolism.world_energy_300_clr.gif

So we started to invest into culture and leisure as well as technology. Understandable that this was not for all, but some. We started to trade and exchange this profit.

Nowadays-new forms of energy transports appeared like money or knowledge. Also in the last century we found enormous pools of energy, called oil and gas, nuclear as well as regenerative forms. This led to an incredible push in technology, trading and prosperity in parts of the world. While this happened the knowledge was one of the energy forms which was kept close and most nations and companies developed their own harvest of intellectual property (IP).

But than the Internet was born around 20 years ago. Knowledge was spread over the planet and an incredible innovation boost started. With now 7B people on this planet, knowledge is turned in to IP and the dimensions of this planet get captured in various methods. Mathematics cracks the complexity of our environment into formulas and we can understand the world we live in much better. Also more people have access to information, which centuries before was kept in libraries. So ideas can be born for demands never thought previously everywhere in the world.

With the social revolution of the Internet and the appearance of new devices, which make it easy for generations to feed the WWW with more data, pure knowledge got less important since all basic and complex questions seem to be answered with a tip of the fingers, or since recently, with a question to the iPhone. The requested data can now be seen in the best form mankind need to digest, reading, listening, watching; different form culture to culture. There are pictures, text, spoken, videos etc. However, the data is turned into information often in the brain of the user. Specialists have to explain the information and draw conclusions. Also all data or information is a snapshot in time. It has to be recreated often and frequently. This was not big issues years ago, but with the speed of chance happened in our business and life, more agile information was needs.

This is not the end. The Internet of things is approaching very fast and we see combing data from various sources produces new data. So where does this lead to: Big Data.

Another aspect becomes quite clear. Data has a value of energy, which depreciated over a while This energy is called Information. It depends on the data itself and may regain the energy level on alternative point in time. Like in auctions many data has a short, but powerful energy level, when the auction is running, before and after its value is much lower.

This is the power of BigData; it can leverage the combination of a huge amount of data and convert it in information, in real-time, structured and unstructured. The data itself is often not owned by an organization or individual, it is the combination of various sources. The value becomes thru the combination, realignment of new sources and optimization.

box_group_unorganized_pc_800_clr.png

Imagine a prediction of a tsunami catastrophic earthquake, which has a huge value if the prediction is extreme high and the time before this happen is long. People recognizing strange behavior of animals, ground, etc is the collecting of data. As described before the energy level of this information is often only relevant if you have it in real-time and adjusted to new information on the fly.

This is where the thought of Big Data can help tremendous. It will let new information generation happen in an actual fusion, various asp

 

ects in parallel and also generate new data, which can be leveraged by another big data engine. Overtime the interpretation is key; facts will be done in instantaneous. Believe it or not with all the twitter messages, may most of them are useless for you, can be done a newspaper which is more accurate and neutral than ev
ery editor will ever be able to.

BigData will change the world; it is already staring. If it is done right the energy will be enormous and everywhere, not dependent on the culture, more on the people itself providing the fundamental data.