Containers & Microservices Expo to Be Colocated with @ThingsExpo Silicon Valley, November 3-5, 2015 at the Santa Clara Convention Center, CA
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, moderated by Conference Chair Roger Strukhoff, panelists will discuss 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.Oct. 24, 2015 11:15 AM EDT Reads: 252
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
For manufacturers, the Internet of Things (IoT) represents a jumping-off point for innovation, jobs, and revenue creation. But to adequately seize the opportunity, manufacturers must design devices that are interconnected, can continually sense their environment and process huge amounts of data.
As a first step, manufacturers must embrace a new product development ecosystem in order to support these products. 
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi’s VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context wi...
Container technology is shaping the future of DevOps and it’s also changing the way organizations think about application development. With the rise of mobile applications in the enterprise, businesses are abandoning year-long development cycles and embracing technologies that enable rapid development and continuous deployment of apps.
In his session at DevOps Summit, Kurt Collins, Developer Evangelist at Built.io, examines how Docker has evolved into a highly effective tool for application delivery by allowing increasingly popular Mobile Backend-as-a-Service (mBaaS) platforms to quickly crea...
In his session at @ThingsExpo, Ben Bromhead, CTO of Instaclustr, will walk you through the basics of building an IoT-based platform leveraging Cassandra, Spark and Kafka. This session is aimed at developers, admins and DevOps engineers who have to build, run and maintain high performance IoT platforms as well as data scientists/engineers who are sick of ETL and want to work with the most up to date information.
Organizations already struggle with the simple collection of data resulting from the proliferation of IoT, lacking the right infrastructure to manage it. They can't only rely on the cloud to collect and utilize this data because many applications still require dedicated infrastructure for security, redundancy, performance, etc.
In his session at 17th Cloud Expo, Emil Sayegh, CEO of Codero Hosting, will discuss how in order to resolve the inherent issues, companies need to combine dedicated and cloud solutions through hybrid hosting – a sustainable solution for the data required to manage I...
The broad selection of hardware, the rapid evolution of operating systems and the time-to-market for mobile apps has been so rapid that new challenges for developers and engineers arise every day. Security, testing, hosting, and other metrics have to be considered through the process.
In his session at Big Data Expo, Walter Maguire, Chief Field Technologist, HP Big Data Group, at Hewlett-Packard, will discuss the challenges faced by developers and a composite Big Data applications builder, focusing on how to help solve the problems that developers are continuously battling.
Beacon technology offers a new way for companies to deliver value to their customers by enabling micro-location based interaction at every physical touch point. This knowledge opens up a new playground for creating personalized services and inventing new experiences between a company and its customers, but how exactly can organizations monetize this? For the past two years we have heard about mobile notifications and messaging, but this has not taken off and could be considered spamming. 
The Internet of Things is in the early stages of mainstream deployment but it promises to unlock value and rapidly transform how organizations manage, operationalize, and monetize their assets. IoT is a complex structure of hardware, sensors, applications, analytics and devices that need to be able to communicate geographically and across all functions. Once the data is collected from numerous endpoints, the challenge then becomes converting it into actionable insight.
WebRTC has had a real tough three or four years, and so have those working with it. Only a few short years ago, the development world were excited about WebRTC and proclaiming how awesome it was.
You might have played with the technology a couple of years ago, only to find the extra infrastructure requirements were painful to implement and poorly documented. This probably left a bitter taste in your mouth, especially when things went wrong.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
From Fitbits, to connected cars, to sensors that water crops, making decisions is no longer enough, now you need to make decisions in context. To bring your next great IoT decision to life you need to be able to extend and connect beyond your traditional enterprise. But with thousands if not millions of different devices all with their own technologies, standards and security how do you connect with the right ones effectively. And technology is only one aspect of the challenge; how do you create the right business model to drive value from your solution? An IoT solution that doesn’t connect to...
WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems.
In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, will provide an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.
Most people haven’t heard the word, “gamification,” even though they probably, and perhaps unwittingly, participate in it every day.
Gamification is “the process of adding games or game-like elements to something (as a task) so as to encourage participation.” Further, gamification is about bringing game mechanics – rules, constructs, processes, and methods – into the real world in an effort to engage people.
In his session at @ThingsExpo, Robert Endo, owner and engagement manager of Intrepid Data, will discuss how wearables, analytics, and geospatial technologies can be combined to transform...
The IoT's basic concept of collecting data from as many sources possible to drive better decision making, create process innovation and realize additional revenue has been in use at large enterprises with deep pockets for decades. So what has changed?
In his session at @ThingsExpo, Prasanna Sivaramakrishnan, Solutions Architect at Red Hat, will discuss the impact commodity hardware, ubiquitous connectivity, and innovations in open source software are having on the connected universe of people, things and information in the IoT.
SYS-CON Events announced today that Vitria will exhibit, conduct a demo theater presentation, and CTO Dale Skeen will deliver a technical session at @ThingsExpo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Vitria is a leading provider of advanced analytics platforms that enable businesses to transform their operations and boost revenue growth through Faster Analytics, Smarter Actions, and Better Outcomes Faster.
WebRTC sits at the intersection between VoIP and the Web. As such, it poses some interesting challenges for those developing services on top of it, but also for those who need to test and monitor these services.
In his session at WebRTC Summit, Tsahi Levent-Levi, co-founder of testRTC, will review the various challenges posed by WebRTC when it comes to testing and monitoring and on ways to overcome them.
Internet of @ThingsExpo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, and June 7-9, 2016 at Javits Center, New York City, is co-located with Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo New York Call for Papers is now open.
Most of the IoT Gateway scenarios involve collecting data from machines/processing and pushing data upstream to cloud for further analytics. The gateway hardware varies from Raspberry Pi to Industrial PCs. The document states the process of allowing deploying polyglot data pipelining software with the clear notion of supporting immutability.
In his session at @ThingsExpo, Shashank Jain, a development architect for SAP Labs, will discuss the objective, which is to automate the IoT deployment process from development to production scenarios using Docker containers.
Docker is hot. However, as Docker container use spreads into more mature production pipelines, there can be issues about control of Docker images to ensure they are production-ready. Is a promotion-based model appropriate to control and track the flow of Docker images from development to production?
In his session at DevOps Summit, Fred Simon, Co-founder and Chief Architect of JFrog, will demonstrate how to implement a promotion model for Docker images using a binary repository, and then show h...
Node.js has been in the industry a long time and yet the conversations about it never seem to slow down. So what’s all the fuss about? What makes Node.js different from other programming languages and environments out there?
Take a look at the infographic below and discover what!
BTW: You should know that Monitis has Node.js monitoring in its suite of application monitoring services. So if you’re building innovative mobile and web applications in the Node.js platform, you’ll certainly appr...
This article series has covered a lot of ground: it presented an overview of application performance management (APM), it identified the challenges in implementing an APM strategy, it proposed a top-5 list of important metrics to measure to assess the health of an enterprise PHP application, and it presented AppDynamics’ approach to building an APM solution. In this final installment this article provides some tips-and-tricks to help you implement an optimal APM strategy. Specifically, this arti...
In part 5 of our “ Open Source + Azure ” series, Keith Mayer welcomes Tatiana Lavrentieva to the show as they discuss how you can deploy Linux Containers in the cloud using Docker and Microsoft Azure.
[ 2:32 ] What is Docker and how are organizations using Docker and Azure together?
[ 6:24 ] What are the main components of Docker? [ 10:00 ] Traditionally, Docker tools run on Linux ... is there support for running Docker tools on Windows as well?
No one should need to be convinced the value of good data. It gives you the confidence to make decisions quickly and with less risk, it allows you to measure your success, and it lets you know when you need to adjust your course. But there’s a difference between knowing the value of data, and creating a culture around it. A data-driven culture is a culture where everyone quantifies their actions as much as possible, and asks themselves how their teams are having a tangible impact on the business...
DevOps has traditionally played important roles in development and IT operations, but the practice is quickly becoming core to other business functions such as customer success, business intelligence, and marketing analytics.
Modern marketers today are driven by data and rely on many different analytics tools. They need DevOps engineers in general and server log data specifically to do their jobs well. Here’s why: Server log files contain the only data that is completely full and accurate in th...
Objects are one of the core components of the JavaScript language and something that you will interact with every time you look at a pice of JavaScript code. The easiest way to explain what a JavaScript Object is would be to compare it to an "object" in real life. In JavaScript, an Object is a single entity with properties and a type.
Financial institutions, like other critical service industries such as health care and air travel, have the unique challenge of no room for failure. It's a bad day if your ATM card doesn't work. It's a really bad day if you do a bunch of online trading based on incorrect information. Fintech startups, beware. Money, as it turns out, is kind of a big deal to a lot of people.
Test-Driven Development is a great tool for functional testing, but can you apply the same technique to performance testing? Why not? The purpose of TDD is to build out small unit tests, or scenarios, under which you control your initial coding. Your tests will fail the first time you run them because you haven’t actually developed any code. But once you do start coding, you’ll end up with just enough code to pass the test. There’s no reason the same philosophy can’t be applied to performance te...
What it means to build quality software has taken a beating over the years. We’re no longer content to strive for defect-free code. We must also make sure the software meets both its functional and nonfunctional requirements. Only now with the rise of more Agile ways of thinking, we’ve placed the notion of a software requirement under the microscope, as building flexible, resilient software often trumps checking items off our requirements list.
At some point you’ve probably heard the term “test early and often.” If you are in an Agile organization, that term perfectly captures the philosophy of iterative development and the commitment to rooting out defects sooner rather than later. It's nice - maybe even ironic - that a phrase which had such unscrupulous origins is now a hallmark characteristic of a process that exemplifies teamwork and quality. It's in that modern spirit that we wanted to share these 10 strategies to help you test ea...
Agile software development and agile marketing have followed similar, but unique paths. Buggy software, product delays and death marches were the norm in the 90s. A groundswell formed around the idea of taking the agile principles that had been so successful in manufacturing and applying them to software. 
With other solutions for real-time analytics via in-memory processing such as RethinkDB, an ambitious Redis project or commercial in-memory SAP Hana, IBM needed a competitive offering. Other vendors betting on Spark range from Amazon to Zoomdata. IBM will run its own analytics software on top of Spark, including SystemML for machine learning, SPSS, and IBM Streams.
Containers are a hot topic these days. I have run a few workshops with clients, and one of the questions I get asked most frequently is “what are companies using containers for?”
After answering this question a number of times, I thought I would share some common use cases with my readers.
Check out my latest post at the Virtualization Practice where I highlight 3 common use cases.
As with most modernized economies, the United States economy utilizes capitalist principles. It is only fitting that we invented a technological solution that will help companies engage in c-api-talism using APIs in a more efficient manner.
If we look back into the history of mankind, we progressed towards more civilized, mature, monetary-based economies on a steady basis. The progression from the Stone Age, to the Bronze Age, to the Iron Age, to the Industrial Age and to the current Digital ...
When organizations make the choice to put a digital platform in place, a discussion on MicroServices is never far behind. By putting a MicroServices layer in place, an organization creates the springboard to launch into the digital future, whether that involves apps, rich Web clients, or IoT devices such as in-store beacons.
Ten years ago I was a programmer working at an insurance company. The hard IT work of an insurance company is claims processing - taking in new members, getting claims, figuring out how they should be payed, and paying them electronically. That meant a big database.
We wrote a lot of SQL, the programming language for databases. When our claims processing vendor came in telling us about Service Oriented Architecture, we yawned. Instead of a hand-rolled SELECT statement, something like this:
SEL...
Most everyone in Cloud IT circles has realized the power of containerization and that companies are adopting Docker containers at a remarkable rate. There are many good reasons for this, such as easily setting up dev/test scenarios (DevOps), and building out sophisticated, distributed computing clusters. But there are some deeper questions this talk will address from the Microsoft perspective. For example, what is the future of Windows in a containerized world? How will Windows and Linux work to...
Look at production incident numbers, most organizations have sufficient data on that and sufficient problems to solve. It ends up being really compelling. Once you show the numbers, generally management just says do it, if that solves the problem just do it. Though you might have to prove that the approach you’re proposing, in other words putting the environments under better control and getting better control on the application releases. You can do that through proof of concept, but I would say...
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