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  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


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 devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• Smart Travel
• Personal Fitness
• Health Care
• Personalized Marketing
• Customized Shopping
• Personal Finance
• The Digital Divide
• Mobile Cash & Markets
• Games & The IoT
• The Future of Education
• Virtual Reality

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


When Clouds Get Cloudy
Growing complexities in cloud computing

The worldwide market for cloud computing is rapidly growing across all segments - 36% CAGR through 2016, reaching a market size of $19.5B by 2016, according to the InfoPro Wave 5 Cloud Computing Study from 451 Research. The result has been a substantial increase in the operational complexity of IT infrastructure management.

Legacy IT service management (ITSM) tools and suites from vendors like IBM, HP, BMC, CA and Microsoft, designed for on-premise data centers, are no longer effective for managing cloud-centric applications and infrastructure. Therefore companies are adopting multiple open source and point solutions designed to manage specific aspects of their cloud infrastructure.

The narrow focus these new products and services deliver enables companies to assemble best-of-breed "ITSM-like" solutions, but their lack of integration has resulted in fragmentation of critical operational and business data across their environment. The challenge now becomes - how to take these complex data sets from disparate tools and services and obtain an integrated view that enables critical business decision-making around topics such as cost, availability, performance, and security?

ITSM - Changing the Landscape with Cloud
We are in the early stages of a major technology shift that is disrupting the traditional ITSM suites. Early cloud adopters have quickly learned that the traditional suites were ineffective for managing highly dynamic and complex cloud infrastructure. Instead they opted to assemble a collection of more modern and less integrated point solutions with names like Chef, Puppet, Nagios, Sensu, New Relic, Splunk, PagerDuty, Pingdom, and Airbrake. These new products and services began to take hold in IT operations, and have today replaced the previous generation of ITSM solutions within most organizations.

There are four major factors driving the abandonment of the legacy ITSM suites:

  1. Suite stagnation: Many of the products that manage enterprise data centers were developed in the early and mid-1990s. While vendors have continued to invest in these products, their age and bulk has resulted in a steady slow down in innovation.
  2. Point tool innovation: New point tools such as Splunk and New Relic were designed in the post-SaaS era, and therefore have provided a fresh perspective on traditional ITSM challenges. These products are much easier for customers to evaluate, purchase, deploy and operate than the legacy ITSM suites.
  3. Cloud complexity: Cloud computing has introduced several new innovations that have stretched the capability of the ITSM suites, including on-demand infrastructure, consumption-based pricing, platform services, infrastructure as code, and elastic infrastructure. The legacy ITSM suites were designed for a world of physical hardware, capital expenditures, and less frequent change.
  4. Price: The legacy ITSM suites were priced for enterprises with few alternatives. The new point tools are often are delivered via SaaS, priced monthly, easy to try, and in some cases even distributed as open source.

The Impact of Growing Complexity in the Cloud
While these new point products have enabled early cloud adopters to successfully build and manage large-scale infrastructures, a new challenge has surfaced: pulling the disparate and disconnected portals into a consolidated view required to run a business. There are three primary challenges that organizations face in consolidating their virtual ITSM suites: complexity of data integration, the transient nature of cloud infrastructure, and complexity of pricing.

  • Complexity of ITSM data integration: While the new point solutions enable incredible power and control, they are typically narrowly focused and lack a cohesive system view. IT, CFO, CEO, and other stakeholders often feel acute pain from the lack of cohesive view across the organization. Most cloud customers eventually realize the need for an easy, repeatable, auditable method to holistically view their infrastructure to make critical operations, engineering or financial decisions.
  • Transient Nature of Cloud Infrastructure: The cloud promotes the use of disposable infrastructure. It is very common to run large amounts of infrastructure for short periods of time, or to frequently launch new infrastructure to replace existing infrastructure. While this is highly efficient, it results in short-lived infrastructure often in support of long-lived business needs, increasing the challenge of pulling together an integrated view for decision-making.
  • Complexity of Pricing: To further complicate matters, public cloud vendors offer multifactorial pricing plans that are often designed to socially engineer specific usage patterns of their services. Understanding and managing to the most efficient usage of these plans is essential for cost efficient operations of public cloud infrastructure.

As the shift to cloud computing continues to gain momentum, individuals responsible for cloud infrastructure are faced with a near impossible task - how to embrace the advantages of the cloud without giving up the ability to make informed business decisions?

Why Integration Matters
In order to gain business insights across people, processes and technology, organizations needs a holistic view of their applications, infrastructure, and business. They need to be able to answer questions such as:

  • How do you report on what is happening inside the infrastructure?
  • How do you identify usage of applications?
  • How do you identify and optimize costs?
  • How do you optimize workloads?
  • How do you view and optimize cloud usage by customer, service, product, or department?
  • How do you consolidate your fault, configuration, accounting, performance, and security data of your cloud ecosystem?

Challenges of Custom Solutions
The first wave of adopters who have embraced cloud computing have typically been staffed by forward thinking technical teams that are capable of stitching together minimum solutions for integrating disparate tools within their organizations. But as the cloud achieves early majority adoption, organizations have found less time, capability and tolerance to make the investment required for custom solutions. The result is that the driving benefits of the cloud - consumption-based pricing, on-demand infrastructure, and business agility - often become negatives as organizations scale their usage.

In the early phases of growth, organizations often rely heavily on manual labor to pull together data from multiple sources. Spreadsheets are typically the primary integration tool used to slice and dice information in support of decision-making. While this can provide a passable solution at moderate scale, it is often highly resource intensive, error prone, and time consuming.

As enterprises continue to grow their cloud usage, they often reach a tipping point at which they feel acute pain from the lack of integration across numerous point tools. Often this results in poor or inefficient usage of the cloud, forcing organizations to make critical business decisions with insufficient data. Some organizations become cloud dropouts at this stage, returning to the safety of physical infrastructure. A few technical pioneers (e.g., Netflix, Heroku), have found themselves creating expensive and customized internal systems and open source to tame the cloud.

Unfortunately most enterprises do not have the time or expertise to develop custom internal solutions to manage their cloud infrastructure.

The Next Generation of ITSM
How do you embrace the advantages of the cloud without giving up the ability to make informed business decisions?

The ability for organizations to successfully harness the cloud will hinge upon an emerging category of new cloud analytics platforms that enable a best of breed solution to ITSM. Unlike their predecessors, these new ITSM platforms will need to be cloud centric (capable of handling volatile, diverse cloud data sets) and API driven to facilitate integration with best in class open source products.

At a minimum the next generation of ITSM must deliver:

  • Consolidated data aggregation and correlation
  • Detailed asset management across all core system management products - assets, log management tools, automation and provisioning tools
  • Usage, performance, and financial metrics across the cloud ecosystem
  • Long term storage for the data to deliver trended reporting
  • Audit trails for change management and security
  • Service level reporting by functional business group

Until we successfully deliver a holistic view of the cloud ecosystem, organizations will remain challenged by the growing complexities of scale in cloud environments.

About Joe Kinsella
Joe Kinsella is CTO and Founder of CloudHealth Technologies. He has 20+ years of experience in delivering commercial software for both startups and large enterprises. He was previously VP of Engineering at the Amazon-backed cloud archiving company Sonian, where he developed and managed large scale cloud infrastructure spanning multiple public clouds. He is an advisor to the University of Massachusetts Boston Entrepreneur Center, and blogs at High Tech in the Hub.

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Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

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