Welcome!

Article

Towards Next Generation Enterprise IT

How Will Enterprise IT Look Ten Years From Now ?

Data processing power is likely to continue growing. Are contemporary IT development methods, processes and procurement practices properly positioned to take advantage of increasing capabilities?

CPU/Memory/Storage can today be provisioned in a few clicks. Limitations presented by processing power and physical infrastructure will continue to be of less importance, as was the case in the past.

We are gradually coming close to a situation where constraints determining present corporate IT standards are not an issue any more. For example, it is current practice that OLTP and analytic databases are on separate servers and one of major drivers for such separation is performance. New generations of in-memory databases and powerful servers all but obviates the need for such distinction.

We are already at the stage where all we have in front of us is a blank sheet of paper ( i.e. pool of computing resources ) that can be filled with previously unheard of quantities of data and processed with little regard to performance limitations. Do we already have,  or we need new modeling, programming, best practices paradigms  to take advantage of this new potential, similarly to how relational theory, databases and ER modeling superseded file and program design techniques of 60's and 70's ?

Today's IT systems are very fragmented - we have data islands, application islands, difficulties in providing unified data views, master data management problem. Applications are purchased as ERP systems, built in-house, on various platforms. Some attempts to standardize various components of IT are present - data, infrastructure standards, but, by and large, corporate IT map ( data, processing, infrastructure ) looks more like spaghetti then well designed, unified system. Some vendors recognized the need to offer integrated, engineered systems. Oracle, for example, is attempting to offer full stack - from hardware and all the way up to analytic packages.

Zachman, TOGAF and other frameworks are attempting to offer holistic view and method to enterprise computing architecture. We have UML, ER modeling, system analysis techniques, Agile, Scrum methodologies, CASE tools, in case you want to build systems yourself.

Then there is the opportunity to skip all of this and simply subscribe to SaaS application like Salesforce.

If history is any guide, we will have forces driving towards continuing fragmentation. What we have seen in last 50 years is diversification from just a few vendors, to myriad of products, approaches and methods. There is also counter trend towards consolidation, mergers and acquisitions. Another trend is growing volumes of data, as more and more of contemporary devices generate data which can be used for customer analysis behavior etc.

Reasons of economy, efficiency, centralization and simplification will perhaps give consolidation forces the upper hand. Powerful, mega-size pre-built systems will be deployed by mega-vendors. We have seen this trend in OLTP systems already, where major vendors like SAP and Oracle provide mainstream corporate OLTP systems and extend into BI packages and applications. This, and SaaS will diminish the need for in-house development , at least for run-of-the-mill applications. Growing computing power will enable vendors to deliver applications of increasing levels of integration, scope and complexity, to be used as larger building blocks and new cornerstones of corporate IT architecture.

More Stories By Ranko Mosic

Ranko Mosic, BScEng, is specializing in Big Data/Data Architecture consulting services ( database/data architecture, machine learning ). His clients are in finance, retail, telecommunications industries. Ranko is welcoming inquiries about his availability for consulting engagements and can be reached at 408-757-0053 or [email protected]

Latest Stories
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
No hype cycles or predictions of zillions of things here. IoT is big. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, Associate Partner at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He discussed the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud tec...
"When we talk about cloud without compromise what we're talking about is that when people think about 'I need the flexibility of the cloud' - it's the ability to create applications and run them in a cloud environment that's far more flexible,” explained Matthew Finnie, CTO of Interoute, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
@DevOpsSummit at Cloud Expo taking place Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center, Santa Clara, CA, is co-located with the 21st International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is ...
When growing capacity and power in the data center, the architectural trade-offs between server scale-up vs. scale-out continue to be debated. Both approaches are valid: scale-out adds multiple, smaller servers running in a distributed computing model, while scale-up adds fewer, more powerful servers that are capable of running larger workloads. It’s worth noting that there are additional, unique advantages that scale-up architectures offer. One big advantage is large memory and compute capacity...
The financial services market is one of the most data-driven industries in the world, yet it’s bogged down by legacy CPU technologies that simply can’t keep up with the task of querying and visualizing billions of records. In his session at 20th Cloud Expo, Karthik Lalithraj, a Principal Solutions Architect at Kinetica, discussed how the advent of advanced in-database analytics on the GPU makes it possible to run sophisticated data science workloads on the same database that is housing the rich...
In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.' Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene. In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists discussed...
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists examined how DevOps helps to meet the de...
What's the role of an IT self-service portal when you get to continuous delivery and Infrastructure as Code? This general session showed how to create the continuous delivery culture and eight accelerators for leading the change. Don Demcsak is a DevOps and Cloud Native Modernization Principal for Dell EMC based out of New Jersey. He is a former, long time, Microsoft Most Valuable Professional, specializing in building and architecting Application Delivery Pipelines for hybrid legacy, and cloud ...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
After more than five years of DevOps, definitions are evolving, boundaries are expanding, ‘unicorns’ are no longer rare, enterprises are on board, and pundits are moving on. Can we now look at an evolution of DevOps? Should we? Is the foundation of DevOps ‘done’, or is there still too much left to do? What is mature, and what is still missing? What does the next 5 years of DevOps look like? In this Power Panel at DevOps Summit, moderated by DevOps Summit Conference Chair Andi Mann, panelists loo...
Artificial intelligence, machine learning, neural networks. We’re in the midst of a wave of excitement around AI such as hasn’t been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. Will this time be different? Most likely. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Furthermore, the funding and research going into AI now comes from a wide range of com...
For organizations that have amassed large sums of software complexity, taking a microservices approach is the first step toward DevOps and continuous improvement / development. Integrating system-level analysis with microservices makes it easier to change and add functionality to applications at any time without the increase of risk. Before you start big transformation projects or a cloud migration, make sure these changes won’t take down your entire organization.
Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devic...