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What ‘Software-Defined’ Really Means | @CloudExpo #AI #SDN #SDX #DevOps
It’s time to bring some clarity into the big picture of SD – what it is, and perhaps even more importantly, what it is not.

The visual model to declarative metadata representation to immutable deployment vision is in essence what SD is all about.

The secret to making this approach practical, and thus the key to understanding why SD approaches have become so prevalent, is the word immutable.

Once we get an SD approach right, we no longer have to touch the deployed technology whatsoever. Instead, to make a change, update the model and redeploy.

In a recent Cortex, I bemoaned the fact that as buzzwords go, Digital Transformation is excessively vague. There is yet another buzzword of our times that is suffering the same fate: Software-Defined.

Rare though buzz-adjectives may be among the pantheon of buzz-nouns and the occasional buzz-verb, Software-Defined (SD) has become remarkably pervasive. In fact, it ties together many different, quite disparate concepts into what has become a vague mishmash.

It's time to bring some clarity into the big picture of SD - what it is, and perhaps even more importantly, what it is not.

The Many Uses of Software-Defined
The most concrete use of the SD adjective is perhaps in the phrase Software-Defined Networking (SDN). SDN separates network equipment's control plane (where routing instructions and other metadata go) from the data plane (where the data being routed go), and then shifts the entire control plane to centralized software.

The network, however, is only the beginning. We have SD infrastructure (SDI), SD data centers (SDDCs), SD wide-area networking (SD-WAN), and more. Each of these approaches follows the lead of SDN, shifting control of various pieces of hardware (or virtualized hardware) to centralized, software-based management and configuration applications.

SDI (which includes SDN), in fact, is at the core of cloud computing. Clearly, there's no way to scale a cloud data center if people had to run from server to server making changes.

Furthermore, Network Functions Virtualization (NFV) from the telco world also falls under the SD banner. With NFV, telco service providers shift all control to software, so that the underlying hardware is entirely generic. No more dedicated switches, routers, and specialized telco gear - all the hardware consist of generic, white-label boxes.

Software-Defined: Beyond the Network
While the network-centric context of SD in corporate networks, cloud data centers, and telco infrastructure forms the home base of the SD movement, SDI is also an essential enabler of continuous integration and continuous delivery (CI/CD), core elements of DevOps.

In order to achieve the velocity that CI/CD promise, the ops part of the story must be SD. Instead of ops people managing servers individually, the DevOps team must be able to deploy and manage software automatically via centralized software control. In other words, the immutable infrastructure principle behind DevOps is nothing more than SDI.

In fact, now that virtualization has matured, all the infrastructure from hypervisors down to bare metal is SD.

At the application level, however, the SD story gets more complicated.

Using software to automate the tasks involved in deploying software is nothing new. Developers have been using runbooks for years - scripts that tell various parts of the environment to execute a series of tasks in a particular sequence.

As DevOps has matured, the notion of the mundane runbook has taken on new life, as DevOps vendors automate increasingly broad swaths of the software development lifecycle (SDLC) with ‘recipes' or other scripting approaches.

As applications and the environments they run in get more complicated, however, the world of DevOps automation finds itself in a Catch-22: the automation scripts or recipes themselves become increasingly complex software applications in their own right, and thus must go through an SDLC of their own, with all the testing and governance that go along with it.

As a result, we're back to square one, manually creating, managing, deploying, and versioning software.

Does Software-Defined Mean Declarative?
To address this Catch-22, some DevOps tools take a declarative approach. Instead of scripting the environment step by step, the declarative approach enables the user to describe the desired behavior, and then the tool interprets such a description and takes the necessary actions to implement such behavior out of sight of the user.

In fact, in many contexts, when most vendors say SD, they really mean that they take a declarative approach, separating configuration from the underlying implementation. There's more to SD behavior than simply following a declarative approach, however.

For example, HTML (and markup languages in general) are declarative. And while we could certainly hand-code a web page by pecking out HTML, we're far more likely to use a visual tool for that purpose.

When we build a web site using such a tool, we're essentially working with models. The model is a visual, configurable representation of the page that the tool can convert into HTML for browsers to render into the page itself for users to view.

In this example, therefore, we have three different ways of thinking about the page: as a visual model, independent of any particular technology implementation of the page; as the HTML markup for that page; and as the action of the browser itself, an application purpose-built to render HTML into visual pages.

Architects and other shrewd readers will recognize the pattern above as being an instance of Model-Driven Architecture (MDA), or its common implementation, Model-Driven Development (MDD).

Does Software-Defined Mean Model-Driven?
MDA is an Object Management Group (OMG) standard
for creating metamodels that represent platform-independent models (our visual model, above) and platform-specific models (the HTML markup in the example), as well as an abstracted approach for turning the former into the latter.

Models, especially visual ones, are in broad use today, but MDA and MDD's best days are behind them. The reason: they didn't deal as well with change as MDA's creators had hoped.

In the MDD world, a developer might build a (platform-independent) model of an application in a model-driven tool and then push a button and out would pop the (platform-specific) source code that represented the working application.

However, if developers wanted to subsequently make a change, they would either need to change the model and regenerate and redeploy all the code (an onerous and time-consuming task), or tweak the auto-generated code itself, thus making it inconsistent with the model.

Round-trip tooling that would take tweaked code and automatically update the model - the holy grail of MDD - has proven impractical.

If we combine some of the principles from MDD with the declarative approach, however, we finally see some light at the end of the tunnel. Instead of the code-generating context of MDA reminiscent of CASE tools of yore, the platform-specific representation for a declarative model consists of a metadata representation of a configuration.

In practice, tools that take this approach create such metadata representations in JSON, XML, or a domain-specific language appropriate to the task at hand. Developers occasionally have reason to view such metadata, but rarely if ever have call to monkey with it directly.

Instead, users - who need not be developers - simply make changes in the model, typically via direct interaction with icons or other visual elements, or by selecting appropriate configurations. The underlying platform takes care of the rest.

The Intellyx Take
The round-trip code-generation vision of MDD proved unworkable, but the visual model to declarative metadata representation to immutable deployment vision is in essence what SD is all about.

The secret to making this approach practical, and thus the key to understanding why SD approaches have become so prevalent, is the word immutable.

Once we get an SD approach right, we no longer have to touch the deployed technology whatsoever. Instead, to make a change, update the model and redeploy.

The most important takeaway from this Cortex: this core SD pattern is fully generalizable. It works with networks, data centers, DevOps-based deployments, and as I'll cover in part two, it's also at the core of the Low-Code/No-Code movement.

It's no wonder, therefore, that Software-Defined Everything (SDX) is rising to the top of the buzzword heap - but SDX is no mere buzzword. It describes the central technological principles behind Agile Digital Transformation.

Copyright © Intellyx LLC. Intellyx publishes the Agile Digital Transformation Roadmap poster, advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. As of the time of writing, none of the organizations mentioned in this article are Intellyx customers. Image credit: Tim Adams.

About Jason Bloomberg

Jason Bloomberg is a leading IT industry analyst, Forbes contributor, keynote speaker, and globally recognized expert on multiple disruptive trends in enterprise technology and digital transformation. He is ranked #5 on Onalytica’s list of top Digital Transformation influencers for 2018 and #15 on Jax’s list of top DevOps influencers for 2017, the only person to appear on both lists.

As founder and president of Agile Digital Transformation analyst firm Intellyx, he advises, writes, and speaks on a diverse set of topics, including digital transformation, artificial intelligence, cloud computing, devops, big data/analytics, cybersecurity, blockchain/bitcoin/cryptocurrency, no-code/low-code platforms and tools, organizational transformation, internet of things, enterprise architecture, SD-WAN/SDX, mainframes, hybrid IT, and legacy transformation, among other topics.

Mr. Bloomberg’s articles in Forbes are often viewed by more than 100,000 readers. During his career, he has published over 1,200 articles (over 200 for Forbes alone), spoken at over 400 conferences and webinars, and he has been quoted in the press and blogosphere over 2,000 times.

Mr. Bloomberg is the author or coauthor of four books: The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! How Service Orientation Will Change Your Business (Wiley, 2006), XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996). His next book, Agile Digital Transformation, is due within the next year.

At SOA-focused industry analyst firm ZapThink from 2001 to 2013, Mr. Bloomberg created and delivered the Licensed ZapThink Architect (LZA) Service-Oriented Architecture (SOA) course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, which was acquired by Dovel Technologies in 2011.

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting), and several software and web development positions.



Articles & Feature Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
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-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
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, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
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 sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure.
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, regulatory scrutiny and increasing consumer lack of trust in technology in general.
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 member of the Society of Information Management (SIM) Atlanta Chapter. She received a Business and Economics degree with a minor in Computer Science from St. Andrews Presbyterian University (Laurinburg, North Carolina). She resides in metro-Atlanta (Georgia).
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
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 using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.
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Cloud Expo - Cloud Looms Large on SYS-CON.TV



Cloud Expo 2009 Europe Opening Keynote by GoodData

In this presentation Roman Stanek, a technology visionary who has spent the past fifteen years building world-class technology companies, will talk about what it means to be 'born on the cloud.' Specifically Roman will share with delegates his thoughts on how to use cloud computing as a technical design center; how to take advantage of the economics of cloud computing in building and operating cloud services; how to dramatically change customer adoption; and how to plan for the technical and operational scale that cloud computing makes possible.

Good Data - Collaborative Analytics On Demand
This presentation will describe how Good Data moved from concept to reality, demonstrating the importance of architecting for the cloud: how to conceptualize, design and build applications when cloud computing is a given.

VMware - Building Cloud Infrastructures with VMware vSphere
vSphere 4 is the industry’s first cloud operating system, transforming datacenters into dramatically simplified environments to enable the next generation of flexible, reliable IT services. Combining VMware’s industry leading virtualization technology and experience, VMware vSphere delivers uncompromising control, with greater efficiency, while preserving customer choice.

Sun Microsystems - The Sun Cloud: Sun's Public Cloud Computing Service
Cloud Computing is empowering users like never before, giving them access to massive amounts of compute power and storage capacity, on- demand and in real time. This session will outline Sun's vision and strategy for cloud computing, highlighting the Sun Cloud - Sun's Public Cloud Service that leverages a broad range of Sun's innovative hardware and software technology and products. An overview presentation and practical demonstrations / demos will showcase how cloud-based compute and storage resources enable users to deploy applications quickly, easily and inexpensively..

The Time is Right for Enterprise Cloud Computing
During his keynote, Rich Marcello, Senior Vice President of Unisys, will discuss the latest technologies and approaches that help knock down these barriers, creating the opportunity for attendees to now consider cloud managed services as part of their data center journey to secure "IT as a Service".

Accelerating Innovation with Cloud Computing
Join Shelton Shugar, Senior Vice President of Cloud Computing at Yahoo! for a keynote elaborating on how Yahoo! and consumers benefit from Yahoo! Cloud Services and will describe Yahoo! Cloud Services and technologies.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
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-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
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, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
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 sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
Top Stories for Cloud Expo Europe

Kevin L Jackson launched the "Government Cloud Computing Journal" on Ulitzer. The online magazine offers stories and articles on the effective use of cloud computing technologies within the government domain. Kevin L. Jackson is a senior information technologist specializing in information technology solutions that meet critical Federal government operational requirements. Currently, he serves as Director, Business Development for Dataline, Inc., and editor of Government Cloud Computing e-zine. Kevin L. Jackson (right) with Cloud Computing Expo conference chair Jeremy Geelan before his presentation on Government Cloud Computing. About Ulitzer.com Initiating content coverage on any topic or launching a magazine at Ulitzer.com  is designed to be as easy as boiling an egg and doesn't take much longer. To become a Ulitzer author, anyone can fill out a simple author prof... (more)

Best Recent Articles on Cloud Computing & Big Data Topics
As we enter a new year, it is time to look back over the past year and resolve to improve upon it. In 2014, we will see more service providers resolve to add more personalization in enterprise technology. Below are seven predictions about what will drive this trend toward personalization.
IT organizations face a growing demand for faster innovation and new applications to support emerging opportunities in social, mobile, growth markets, Big Data analytics, mergers and acquisitions, strategic partnerships, and more. This is great news because it shows that IT continues to be a key stakeholder in delivering business service innovation. However, it also means that IT must deliver new innovation despite flat budgets, while maintaining existing services that grow more complex every day.
Cloud computing is transforming the way businesses think about and leverage technology. As a result, the general understanding of cloud computing has come a long way in a short time. However, there are still many misconceptions about what cloud computing is and what it can do for businesses that adopt this game-changing computing model. In this exclusive Q&A with Cloud Expo Conference Chair Jeremy Geelan, Rex Wang, Vice President of Product Marketing at Oracle, discusses and dispels some of the common myths about cloud computing that still exist today.
Despite the economy, cloud computing is doing well. Gartner estimates the cloud market will double by 2016 to $206 billion. The time for dabbling in the cloud is over! The 14th International Cloud Expo, co-located with 5th International Big Data Expo and 3rd International SDN Expo, to be held June 10-12, 2014, at the Javits Center in New York City, N.Y. announces that its Call for Papers is now open. Topics include all aspects of providing or using massively scalable IT-related capabilities as a service using Internet technologies (see suggested topics below). Cloud computing helps IT cut infrastructure costs while adding new features and services to grow core businesses. Clouds can help grow margins as costs are cut back but service offerings are expanded. Help plant your flag in the fast-expanding business opportunity that is The Cloud, Big Data and Software-Defined Networking: submit your speaking proposal today!
What do you get when you combine Big Data technologies….like Pig and Hive? A flying pig? No, you get a “Logical Data Warehouse.” In 2012, Infochimps (now CSC) leveraged its early use of stream processing, NoSQLs, and Hadoop to create a design pattern which combined real-time, ad-hoc, and batch analytics. This concept of combining the best-in-breed Big Data technologies will continue to advance across the industry until the entire legacy (and proprietary) data infrastructure stack will be replaced with a new (and open) one.
While unprecedented technological advances have been made in healthcare in areas such as genomics, digital imaging and Health Information Systems, access to this information has been not been easy for both the healthcare provider and the patient themselves. Regulatory compliance and controls, information lock-in in proprietary Electronic Health Record systems and security concerns have made it difficult to share data across health care providers.
Cloud Expo, Inc. has announced today that Vanessa Alvarez has been named conference chair of Cloud Expo® 2014. 14th International Cloud Expo will take place on June 10-12, 2014, at the Javits Center in New York City, New York, and 15th International Cloud Expo® will take place on November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
12th International Cloud Expo, held on June 10–13, 2013 at the Javits Center in New York City, featured four content-packed days with a rich array of sessions about the business and technical value of cloud computing led by exceptional speakers from every sector of the cloud computing ecosystem. The Cloud Expo series is the fastest-growing Enterprise IT event in the past 10 years, devoted to every aspect of delivering massively scalable enterprise IT as a service.
Ulitzer.com announced "the World's 30 most influential Cloud bloggers," who collectively generated more than 24 million Ulitzer page views. Ulitzer's annual "most influential Cloud bloggers" list was announced at Cloud Expo, which drew more delegates than all other Cloud-related events put together worldwide. "The world's 50 most influential Cloud bloggers 2010" list will be announced at the Cloud Expo 2010 East, which will take place April 19-21, 2010, at the Jacob Javitz Convention Center, in New York City, with more than 5,000 expected to attend.
It's a simple fact that the better sales reps understand their prospects' intentions, preferences and pain points during calls, the more business they'll close. Each day, as your prospects interact with websites and social media platforms, their behavioral data profile is expanding. It's now possible to gain unprecedented insight into prospects' content preferences, product needs and budget. We hear a lot about how valuable Big Data is to sales and marketing teams. But data itself is only valuable when it's part of a bigger story, made visible in the right context.
Cloud Expo, Inc. has announced today that Larry Carvalho has been named Tech Chair of Cloud Expo® 2014. 14th International Cloud Expo will take place on June 10-12, 2014, at the Javits Center in New York City, New York, and 15th International Cloud Expo® will take place on November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Everyone talks about a cloud-first or mobile-first strategy. It's the trend du jour, and for good reason as these innovative technologies have revolutionized an industry and made savvy companies a lot of money. But consider for a minute what's emerging with the Age of Context and the Internet of Things. Devices, interfaces, everyday objects are becoming endowed with computing smarts. This is creating an unprecedented focus on the Application Programming Interface (API) as developers seek to connect these devices and interfaces to create new supporting services and hybrids. I call this trend the move toward an API-first business model and strategy.
We live in a world that requires us to compete on our differential use of time and information, yet only a fraction of information workers today have access to the analytical capabilities they need to make better decisions. Now, with the advent of a new generation of embedded business intelligence (BI) platforms, cloud developers are disrupting the world of analytics. They are using these new BI platforms to inject more intelligence into the applications business people use every day. As a result, data-driven decision-making is finally on track to become the rule, not the exception.
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The World's 30 Most influential Cloud Bloggers
Cloud Expo on Ulitzer
1
Dustin Amrhein 11 Kevin Hoffman 21 Greg O'Connor
2
Ezhil Babaraj 12 Alin Irimie 22 Maureen O'Gara
3
Tony Bishop 13 Kevin Jackson 23 Mark O'Neill
4
Reuven Cohen 14 Fuat Kircaali 24 Bill Roth
5
Ernest de Leon 15 David Linthicum 25 Ellen Rubin
6
David Dean 16 Lori MacVittie 26 John Savageau
7
Ray DePena 17 Bill McColl 27 Michael Sheehan
8
Dana Gardner 18 Paul Miller 28 Roman Stanek
9
John Gauntt 19 Louis Naugès 29 John Treadway
10
Jeremy Geelan 20 Greg Ness 30 Alan Williamson

Digital Transformation Blogs
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
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, regulatory scrutiny and increasing consumer lack of trust in technology in general.
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 member of the Society of Information Management (SIM) Atlanta Chapter. She received a Business and Ec...
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Cloud Expo 2010 Allstar Conference Faculty

SARWAL
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What The Enterprise IT World Says About Cloud Expo
 
"We had extremely positive feedback from both customers and prospects that attended the show and saw live demos of NaviSite's enterprise cloud based services."
  –William Toll
Sr. Director, Marketing & Strategic Alliances
Navisite
 


 
"More and better leads than ever expected! I have 4-6 follow ups personally."
  –Richard Wellner
Chief Scientist
Univa UD
 


 
"Good crowd, good questions. The event looked very successful."
  –Simon Crosby
CTO
Citrix Systems
 


 
"Great conference and group of speakers, interesting timely announcements, and awesome networking."
  –Ricardo Sanchez
Software Architect
Myriadtech