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paradigms  to take advantage of this new potential, similarly to how relational theory, databases and ER modeling superseded file and program design techniques of 60's and 70's ?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
Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at every layer of the IT stack – from apps to file sharing to infrastructure. The typical organization currently uses more than a dozen sanctioned cloud apps and will shift more than half of all workloads to the cloud by 2018. Such cloud investments have delivered measurable benefits. But they’ve also resulted in some unintended side-effects: complexity and risk. ...
Is it possible to migrate 100% of your data ecosystem to the cloud? Join Joe Caserta as he takes you on a complete journey to digital transformation mapping out on-prem data footprint and walking it to the cloud. Joe will also explain how the modern ecosystem supports Artificial Intelligence and will include business use cases to back each of his insights.
Your job is mostly boring. Many of the IT operations tasks you perform on a day-to-day basis are repetitive and dull. Utilizing automation can improve your work life, automating away the drudgery and embracing the passion for technology that got you started in the first place. In this presentation, I'll talk about what automation is, and how to approach implementing it in the context of IT Operations. Ned will discuss keys to success in the long term and include practical real-world examples. Ge...
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, discussed how they built...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Sanjeev Sharma Joins November 11-13, 2018 @DevOpsSummit at @CloudEXPO New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
JETRO showcased Japan Digital Transformation Pavilion at SYS-CON's 21st International Cloud Expo® at the Santa Clara Convention Center in Santa Clara, CA. The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
This is going to be a live demo on a production ready CICD pipeline which automate the deployment of application onto AWS ECS and Fargate. The same pipeline will automate deployment into various environment such as Test, UAT, and Prod. The pipeline will go through various stages such as source, build, test, approval, UAT stage, Prod stage. The demo will utilize only AWS services including AWS CodeCommit, Codebuild, code pipeline, Elastic container service (ECS), ECR, and Fargate.