by Gary Mintchell | Oct 19, 2018 | Internet of Things, News, Organizations
News from EdgeX Foundry including an open marketplace for IoT Edge Computing. This is an interesting extension to the platform. Also, Intel has joined the consortium.
At a glance:
- EdgeX Foundry Seeds an Open Marketplace for IoT Edge Computing with New Developer Kits and Smart Building Automation
- Community Demo at IoT Solutions World Congress
- Intel, Redis Labs, ZEDEDA and five other tech influencers commit to IoT interoperability and join EdgeX’s mission to create a unified edge ecosystem
EdgeX Foundry, an open-source, vendor-neutral project that enables an ecosystem of plug-and-play components to unify the IoT edge computing marketplace, announced the availability of EdgeX-enabled developer kits and a Smart Building Automation Community Demonstrator that will debut at IoT Solutions World Congress on October 16-18 in Barcelona.
Hosted by The Linux Foundation, the EdgeX platform is architected to run on any hardware or operating system and unify components coded in any programming language to accelerate time to market and simplify the deployment of secure IoT solutions. The framework serves as a de facto standard to bring together any mix of existing connectivity protocols with an ecosystem of heterogeneous value-add applications.
Developer kits are important tools for building new applications and solutions. A variety of dev kits are already on the market; however, the majority of these kits lock the developer into a particular back-end platform or cloud. In comparison, dev kits based on the EdgeX framework will provide developers with the freedom to choose from an ecosystem of components bound together by the EdgeX interoperability APIs.
“With the emergence of these dev kits, developers will have the opportunity to prototype with their choice of ingredients while taking advantage of plug-in components from EdgeX’s growing vendor-neutral ecosystem,” said Jason Shepherd, EdgeX Foundry Governing Board Chair and Dell Technologies IoT and Edge Computing CTO. “This allows them to focus on innovation rather than reinvention, in addition to being able to add and exchange components at any time to optimize their solution throughout the development and deployment lifecycle.”
There will be two different kinds of dev kits – community and commercial. For options in the community track, the bill of materials will be purchased independently online, the code will be downloaded straight from a special repository on the project GitHub, and questions will be answered through forums like the EdgeX Rocket Chat. The first kit is based on the Samsung Artik with Grove sensor, and options will grow through community contributions over time.
The commercial track for the dev kits will provide EdgeX members with the ability to seed the emergence of an open marketplace for IoT edge computing. These kits will offer end users with attractive options to get started with professional support so they can focus on their preferred value-add rather than supporting open source code. Commercial options will include kits based on supported versions of the EdgeX framework itself (neutral to any plug-in value add), kits based on specific IoT platforms, and microservice plug-ins for value-add such as analytics, data orchestration and security.
EdgeX Foundry is debuting a new community demo at IoT Solutions World Congress that will highlight the platform’s ability to bring together heterogeneous solution components. This first community demo showcases how EdgeX can bring together a real-world, smart flexible office space environment based on components from a variety of vendors leveraging numerous connectivity standards, operating systems and hardware types.
The growth and diversity of the EdgeX ecosystem over the last year has helped the technical community hit major milestones including the “California” release, which made the switch to Golang for the baseline reference implementation. Since the release in April, EdgeX Foundry unique code contributions from members and non-members alike have more than doubled to 70 on a regular basis.
These contributors have played a major role in the upcoming “Delhi” release, which offers major enhancements including the first management features, more security functionality such as access control and improved security bootstrapping, C and Golang-based Device Service SDKs and a reference GUI for demos and simple deployments. Projected to launch in November, the Delhi code will be well-suited for end users to begin developing commercial offers and production deployments. To find more details about Delhi or the EdgeX roadmap, visit the wiki here.
Intel joins the EdgeX Ecosystem
“Today’s announcement represents one more step in Intel’s open source journey and increased role in the advocacy, use and contribution across the ecosystem,” said Stacey Shulman, chief innovation officer for Retail Solutions at Intel. “Intel’s involvement in EdgeX Foundry will help drive scale and accessibility of solutions for both our customers and businesses of all sizes.”
Other new EdgeX Foundry project members include Basking Automation GmbH, Beijing University of Posts and Telecommunications (BUPT), DATA AHEAD, CertusNet, Redis Labs, the Federal University of Campina Grande (UFCG) /Embedded Lab, Windmill Enterprise and ZEDEDA.
“We’re standing at a critical point for digital transformation,” said Shepherd. “The massive volume of devices coming online represents a huge opportunity for innovation and is making edge computing a necessity. We need an open, cloud-native edge ecosystem enabled by EdgeX to minimize reinvention and facilitate building and deploying distributed, interoperable applications from the edge to the cloud. We’re thrilled to welcome these new member organizations into our already strong community that shares the same commitment to open collaboration and innovation.”
by Gary Mintchell | Aug 22, 2018 | Internet of Things
Defining terms enhances effectiveness of communication—especially in this new Industrial Internet of Things (IoT) space. The Industrial Internet Consortium (IIC) leads the way bringing companies and people together to accomplish this sort of work.
I floated a definition of edge a little while ago and got an interesting reaction on Twitter. Let’s see how this one flies.
IIC announced V2.1 of the Industrial Internet Vocabulary Technical Report. Designed to reduce confusion in the marketplace, the report is a foundational document that provides a common set of definitions for IIoT terms used in all IIC documents. It is also intended as a reference for anyone working in IIoT, including those in IT, OT and vertical industries.
The report adds definitions for terms used in data management, edge and edge computing, IT/OT convergence, connectivity, interoperability, brownfield and greenfield.
“People from different backgrounds and different vertical industries will often use different terms to mean the same thing. Additionally, the industrial internet has core concepts that mean different things to different people,” said Anish Karmarkar, Co-Chair of the Vocabulary Task Group, and Senior Director, Standards Strategy & Architecture at Oracle. “Without an agreed upon vocabulary, there’s a lot of room for misunderstandings. For example, we’ve defined IT/OT convergence as a process of interweaving IT and OT in order to create IIoT systems. While IT/OT convergence is a hot topic today, not everyone is on the same page as to what it exactly means.”
The report provides definitions for data management, including data, data at rest, data in motion, data in use, data integrity and many others to make communication on this subject easier for IIoT stakeholders. The report also clears up confusion on “connectivity” and “interoperability,” which IIoT stakeholders often mix up. “Connectivity” means the ability of a system or app to communicate with other systems or apps via networks. “Interoperability” means the ability of two or more systems or apps to exchange and use that information.
“Edge and edge computing are hotly debated topics in IIoT this year,” said Marcellus Buchheit, one of the primary authors of the IIC IIoT Vocabulary Technical Report, and President & CEO, WIBU-SYSTEMS USA Inc. and Co-Founder, WIBU-SYSTEMS AG. “IIoT stakeholders in every industry have been asking ‘where is the edge,’ or ‘what is edge computing.’ The report defines the ‘edge’ as the boundary between pertinent digital and physical entities, delineated by IoT devices, and ‘edge computing’ as distributed computing that is performed near the edge, where the nearness is determined by the system requirements. At the moment, the IIC is the only consortia to provide definitions for ‘edge’ and ‘edge computing.’”
Read the IIC Journal of Innovation September 2017: Edge Computing to learn even more about edge computing. JOI articles show that by moving compute closer to data sources, edge computing allows for faster sense-analyze-response cycles, which is important for running mission-critical, real-time IIoT applications such as equipment monitoring or autonomous machinery.
by Gary Mintchell | Aug 16, 2018 | Data Management, Internet of Things, Operations Management
The CEO of Zededa told me in an interview a few months ago that his mission was no less than to build the largest computing company on Earth without owning infrastructure. Its vision—create a new edge economy that allows applications to run anywhere.
When I wrote in April, the company was emerging from stealth mode. Its most recent announcement proclaims:
- First demonstrable cloud-native platform for edge applications, early customer access to end-to-end app operations platform purpose built for the edge underway
- Zero-touch infrastructure modernization for legacy embedded systems; simple to move legacy apps and OS from outdated systems to newer, cloud-native edge hardware
- Zededa joins EdgeX Foundry to bolster the organization’s vision of an open and secure cloud-native future that enables all new IoT applications
- Major edge system vendors turning to Zededa for operational automation, insights and protection of applications running on their systems
Zededa announced early access to its platform that provides real-time apps a simple “on-ramp” to the cloud-native edge. From legacy embedded systems to modern, AI-based IoT apps, the platform provides the scalability, security and visibility required to allow operations teams to unlock the power of real-time apps without concerns about bandwidth, latency or dependency on the cloud.
Operations technology teams have three primary situations to deal with when it comes to IoT applications: how to upgrade and secure a massive install base of legacy embedded systems, how to retrofit existing equipment with IoT sensors and applications to take advantage of real-time data, and how to deploy entirely new applications like AI-powered robots and self-driving fleets.
Closed, monolithic systems at the edge—either closed by design or closed because of legacy embedded device development workflows—are the last major impediment to solving these problems and enabling IoT to achieve its stated $1.3 trillion market potential. Zededa’s platform demonstrates how cloud-native edge solves the most urgent problem for organizations looking into digital transformation—upgrading and protecting legacy systems without truck-rolls—and gives solution providers a way to easily adopt IoT sensors and industrial gateways to provide real-time data to operational software. Initial natively-supported hardware partners include platforms built on ARM and Intel x86 processors from leading vendors including Advantech Corporation, Lanner, SuperMicro, and Scalys.
“Cloud-native edge computing will be a diverse universe unlike anything in cloud datacenters today,” said Roman Shaposhnik, VP of Product and Strategy at Zededa. “We are making the modernization of edge infrastructure secure, simple and automated in preparation for a fundamental shift away from legacy embedded systems. An open system that allows BYO hardware into a cloud-native platform is a start of the future: a computing environment that is distributed, autonomous and cooperative.”
To help drive entirely new applications and operational possibilities at the edge across a diverse universe of devices, Zededa has joined EdgeX Foundry, a vendor-neutral open source project hosted by The Linux Foundation with a goal to build a common open framework for IoT edge computing.
“Interoperability and convergence on common industry standards is vital for organizations deploying next-generation distributed computing solutions at the IoT Edge,” said Jason Shepherd, Chair of EdgeX Foundry Governing Board and Dell Technologies IoT CTO. “By joining EdgeX Foundry’s efforts Zededa will help promote the project’s important work of creating an open ecosystem of secure, interoperable edge applications that will change user experiences and drive the future of business.”
Currently providing early access to select customers, Zededa is accepting sign-ups for demonstrations and private briefings.
Founded in 2016, Zededa is pioneering a cloud-native approach to the deployment, management and security of real-time edge applications at hyperscale for solutions ranging from self-driving cars to industrial robots. Zededa is headquartered in Santa Clara, CA with engineering and market development teams based in India, UK, Germany and Korea.
EdgeX Foundry is an open source project hosted by The Linux Foundation building a common open framework for IoT edge computing and an ecosystem of interoperable components that unifies the marketplace and accelerates the deployment of IoT solutions. Designed to run on any hardware or operating system and with any combination of application environments, EdgeX enables developers to quickly create flexible IoT edge solutions that can easily adapt to changing business needs.
by Gary Mintchell | Jun 29, 2018 | Commentary, Data Management, Internet of Things, Manufacturing IT
Fourth in the series of posts as I digest all of the information I gathered at Hewlett Packard Enterprise (HPE) Discover 2018 in Las Vegas. This post focuses on use cases. Yes, people, there are people some in manufacturing and some not who are using HPE IoT and Edge computing for fun and profit.
First off, a panel assembled by Tom Bradicich, VP and GM IoT and Edge and Ph.D. entitled Intelligence at the Edge.
Nathalie Elad of Comcast- We are an aggregator of data from homes sending this data from local server to cloud. He is working with HPE on virtualization. No, it doesn’t collect individual family usage to sell to others (yes, it came up). But the company does need data to know how to channel bandwidth. The challenge-“we double bits every 18 months and need to flex up and down during the day.” Interesting stat—there used to be 3.3 devices per house, now may be 20 or even 30.
Tim Thai, Tesla- OT—IT is still a challenge. “The Edge is dynamic, wherever business sets up shop.” Regarding IoT, there are “Things” in manufacturing-control and sensors. They incorporate sensors in testing of technology in cars. Not to mention “there are a ton of sensors in a car.”
Philip Rostle, Alfa Romeo Sauber F1 racing, discussed F1 race car as the edge. There are lots of channels coming off the car during a race. They measure performance versus predicted. You think you have connection problems, he described connection in race as “variable”. Every car has a GPS. They track all cars in the race trying to predict status of the other cars. They run scenarios, analytics, quickly at the edge during a race to help determine strategy. Took “moonshot” server power to the edge so that they get maximum performance within the rules of F1.
In a special breakfast session, we talked with the CTO of the Ryder Cup and European PGA Tour. Think you know golf? Ever wonder about some of the stats that the TV announcers can quote during an event? Well, the tour requires a lot of data. And to get that data, they need connectivity. Golf is also an entertainment event. There are 50,000 spectators at the Ryder Cup. They all expect WiFi to access real-time information about the tournament.
First the data. Every shot has a dozen parameters to capture for every golfer. These are logged on the course. To connect, they use Aruba wireless networking devices. There are 30 switches and 700 access points. They collect 20K data points for scoring; 140K data points for other shot information. “Data drives insights that leads to performance for golfers.” They can track each golfer and also track spectator traffic patterns. An untold story, they lay 18km of fiber cable each tournament; ready to go for Wednesday morning and tear down beginning Sunday evening.
Mike Orr, director of digital transformation at Murphy Oil, uses Edgeline on oil platforms. He noted that his biggest hurdle was working with IT mostly due to its legacy software systems. He made this technology economics point—when oil went from $140 to $20, company laid off many workers. The only way he could get his work done was with technology.
I’ve already discussed the Texmark Chemicals “Refinery of the Future” use case, but I learned a few additional points at this conference.
Intel supplied streaming video analytics—used for physical security/monitoring, open gate for railway access allowed humans and critters into the site, monitored for exception to alert operators.
Deloitte is developing an IoT practice. It assembled an ecosystem including NI, Allied, ThingWorx, OSIsoft, SparkCognition AI for pumps. It also developed the operator dashboards for the project.
All together there were 12 partners in the ecosystem that completed the project that included predictive maintenance for two critical pumps and the video surveillance system.
HPE coordinated the entire project.
The insurance company was impetus to do something to upgrade the technology. Texmark kicked off the project by renting a party bus and taking 15 employees to the HPE IoT lab in Houston. They saw a demo of a pump with FlowServe monitoring and analytics. Employees discussed and picked the initial project targets—two critical pumps in the process plus the “video as a sensor” for the railway access. Getting early employee involvement was the key factor for successful implementation.
by Gary Mintchell | Jun 21, 2018 | Internet of Things, Manufacturing IT
Antonio Neri, CEO and President of Hewlett Packard Enterprise (HPE), used the phrase “Data is the new currency, memory the new gold” in his keynote to the company’s annual US customer conference Discover in Las Vegas in June. Just one of the many places I’ve been lately.
If you haven’t planned for data in your machine and process control designs, you had best begin.The race for improved operations performance is on now.
We talk often of “edge” in the world of Internet of Things or Industrial Internet of Things. The edge has many definitions, but it can be defined as any place outside a data center. PLCs, for example, not only perform logic control, but they also aggregate data from perhaps thousands of sensors. SCADA devices and industrial computers also collect and channel data from a few to many sensors and data sources.
Business operations managers are hungry for this data to feed their information systems that in turn fuel their business decisions. Data in context is information. Information correctly presented to decision makers leads to better, faster decisions—and a competitive edge.
This search for competitive edge has moved me from an emphasis on control and automation (something we still need to do well) to Industrial Internet of Things. The IIot is taken by many as a similar strategy to Industrie 4.0 or Smart Manufacturing or whatever different countries call their strategies. This means I’m looking at a new generation of edge computing, enhance networking standards, human-centered design for mobile visualization of data, and even Augmented Reality (AR) and Artificial Intelligence (AI). These are not far-out technologies any longer. They are here and applications are growing.
Neri talked about the future as edge-centric, cloud-enabled, data-driven. He said the edge is where the action is, where the data is created. HPE is going to invest $4 billion in the intelligent edge over the next 4 years.
The company announced a new edge computing device with enterprise grade computing power (far beyond a PC) plus up to 48TB (yes that’s Tera not Giga) of memory. Oh, and it also comes in an environmentally hardened package. The CTO of Murphy Oil talked of using these on off-shore oil rigs.
Texmark Chemicals is a Houston, Texas based petrochemical refiner. I had several opportunities to talk with them about their IoT projects. They orchestrated an ecosystem of 12 suppliers initially to instrument critical pumps in their process in order to achieve predictive maintenance. This potentially saves the company millions of dollars by avoiding catastrophic failure. (Note: I previously wrote about the Texmark use case here–and expect more to come.)
Back to the announcement from HPE about the new edge product—a family of edge-to-cloud solutions enabled by HPE Edgeline Converged Edge Systems to help organizations simplify their hybrid IT environment. By running the same enterprise applications at the edge, in data centers and in the cloud, the solutions allow organizations to more efficiently capitalize on the vast amounts of data created in remote and distributed locations like factories, oil rigs or energy grids.
(Dr. Tom Bradicich wrote a blog post you can find here.)
HPE’s new edge-to-cloud solutions operate unmodified enterprise software from partners Citrix, GE Digital, Microsoft, PTC, SAP and SparkCognition, both on HPE Edgeline Converged Edge Systems – rugged, compact systems delivering immediate insight from data at the edge – and on data center and cloud platforms. This capability enables customers to harness the value of the data generated at the edge to increase operational efficiency, create new customer experiences and introduce new revenue streams. At the same time, edge-to-cloud solutions enabled by HPE Edgeline simplify the management of the hybrid IT environment, as the same application and management software can be used from edge to cloud.
“The edge is increasingly becoming a centerpiece of the digital enterprise where things and people generate and act on massive amounts of data,” said Dr. Tom Bradicich, Vice President and General Manager, IoT and Converged Edge Systems, HPE. “Our edge-to-cloud solutions help bring enterprise-class IT capabilities from the data center to the edge. This reduces software and IT administration costs, while accelerating insight and control across the organization and supply chain.”
HPE also announced the HPE Edgeline Extended Storage Adapter option kit, adding up to 48 terabytes of software-defined storage to HPE Edgeline Converged Edge Systems. This enhancement enables storage-intensive use cases like artificial intelligence (AI), video analytics or databases at the edge, while leveraging industry-standard storage management tools such as Microsoft Storage Spaces, HPE StoreVirtual VSA, and VMware vSAN.
