Welcome!

Recurring Revenue Authors: Elizabeth White, Yeshim Deniz, Xenia von Wedel, Liz McMillan, Carmen Gonzalez

Related Topics: Agile Computing, Microservices Expo, @CloudExpo

Agile Computing: Article

Approaching Cloudsizing

Cloud Computing and how to drive your enterprises in that direction - Part 1 of 4

You've heard of downsizing and rightsizing, so how about Cloudsizing? As properly defined, Cloudsizing is:

The improvement of efficiency and effectiveness of an organization through the selective use of computing resources that are delivered over the Internet

Simple but powerful, and fairly obvious, considering all that's been written about Cloud Computing recently.

However, what is not obvious is how you approach Cloudsizing, or how you get started. Thus, the purpose of this column/article, and the next three, is to introduce you to both the notion of Cloud Computing and how to drive your enterprises in that direction, and to do so through understanding and not just following the hype.

How the heck do you figure out what needs to be in the Cloud and what needs to be local to the enterprise? As with all things related to enterprise computing, it depends on your enterprise. However, there are steps you can take to figure out your requirements.

Here's how you approach Cloudsizing, in a 17-step process:

  1. Assess the business.
  2. Assess the culture.
  3. Assess the value.
  4. Understand your data.
  5. Understand your services.
  6. Understand your processes.
  7. Understand the cloud resources.
  8. Identify candidate data.
  9. Identify candidate services.
  10. Identify candidate processes.
  11. Create a governance strategy.
  12. Create a security strategy.
  13. Bind candidate services to data and processes.
  14. Relocate services, processes, and information.
  15. Implement security.
  16. Implement governance.
  17. Implement operations.

Assessing the Business
There is a saying in the world of enterprise IT: "The business drives IT." However, while that sounds good, that's typically not the case. Indeed, most of IT considers the business, but typically drives a strategy that's decoupled from the core business, when you get right down to it. When we say access the business is the first step to Cloudsizing, we don't mean consider the business, we mean understand the essence of the business and make sure to align the technology with it.

This means, understand the core strategy of the business, the direction of the products and/or services, the approach to obtaining business, the approach to partner integration, the approach to product development, etc., - all aspects, all understanding, again looking for ways to improve the business by leveraging Cloud Computing.

What you'll find is that the core business processes need special attention, and that there are areas where innovation can play a key role. For instance, the ability to validate the value of a sales lead, in process, by leveraging a D&B search from the Cloud, or the ability to locate a product for a customer by leveraging a remote logistics service and thus provide better customer service, which translates into higher sales.

Skip this step, and you might as well not bother. The business is at the essence of the opportunities found in the Cloud, thus you need to have complete knowledge of the business before proceeding.

Assessing the Culture
Once the business is understood, it's time to understand the people. In a recent Burton Group study, it was found that people and processes were typically the critical success factor for SOA, and considering that Cloud Computing is an extension of SOA, you'll find that that there are repeating patterns here.

Truth-be-told the "Cloud" is threatening to the rank-and-file who have gotten used to having all IT assets under their direct control. We saw the same thing back in the emerging days of SaaS, where IT blocked all attempts to deliver applications as a service, but the overwhelming need to have those applications up-and-running overcame the cultural pushback.

Cloud Computing is more invasive than SaaS. Considering that we now outsource infrastructure such as storage and application development as well as information and services, the cultural blocking will certainly be a factor here. Thus, you must take the time to access the culture of the organization, both understanding what will hinder success as well as create ways around the cultural impedance.

Next month we'll continue down our list.

More Stories By David Linthicum

Dave Linthicum is Sr. VP at Cloud Technology Partners, and an internationally known cloud computing and SOA expert. He is a sought-after consultant, speaker, and blogger. In his career, Dave has formed or enhanced many of the ideas behind modern distributed computing including EAI, B2B Application Integration, and SOA, approaches and technologies in wide use today. In addition, he is the Editor-in-Chief of SYS-CON's Virtualization Journal.

For the last 10 years, he has focused on the technology and strategies around cloud computing, including working with several cloud computing startups. His industry experience includes tenure as CTO and CEO of several successful software and cloud computing companies, and upper-level management positions in Fortune 500 companies. In addition, he was an associate professor of computer science for eight years, and continues to lecture at major technical colleges and universities, including University of Virginia and Arizona State University. He keynotes at many leading technology conferences, and has several well-read columns and blogs. Linthicum has authored 10 books, including the ground-breaking "Enterprise Application Integration" and "B2B Application Integration." You can reach him at [email protected] Or follow him on Twitter. Or view his profile on LinkedIn.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
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 ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
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...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...