Universal Platform For The Edge

When there is a message for me on LinkedIn, it’s almost always a recruiter or SEO marketer trying to sell me something. So, there was a pleasant surprise the other day when it was a marketing person for a software company with a new take on the Edge, datacenters, and software. That company is NodeWeaver.

Here is a statement of the problem. Most of the software in the world runs outside of clouds or datacenters—it runs at the edge. But the edge is made of small systems deployed in tens of thousands of locations, in stores, inside industrial systems, on top of telecom towers. Places that may have limited connectivity, or be difficult to reach, all sharing the fact that they run critical systems, and if something stops, your users are not getting services, or production lines grind to a halt. What happens if something fails?

Existing solutions require manual interventions by skilled technicians to resolve problems. They are complex and difficult to manage. They are difficult to scale to thousands of locations. What is needed has the flexibility of the cloud, but the ability to run everywhere, even on the smallest devices, and run without requiring user intervention. 

That’s the idea behind NodeWeaver—a platform that runs any application and manages the distribution, control, and operation thanks to its intelligent autonomous system. Each system learns from what happens on all the others. It becomes smarter the more it expands and able to do more on its own.

NodeWeaver is a software defined operating platform that installs on the bare metal of nearly any x86 hardware and enables the deployment of highly resilient, agile and scalable compute clusters capable of running multiple virtual machines and container-based workloads, optimized for running workloads at the edge fully autonomously, integrating self-management, self-optimizing, self-healing features that dramatically reduces cost of ownership.

NodeWeaver nano clouds consist of 1 to 25 x86 compatible servers of any manufacturer/configuration, from very small to quite large. Connecting a new server to the nano cloud layer 2 switch automatically adds the server components to the virtual resource pool and relevels all applications across the updated server pool. 

NodeWeaver delivers full datacenter infrastructure/functionality, optimized for running workloads at the edge, taking less than 1.3GB of RAM to provide all services, leaving the maximum amount of system resources available for actual workloads. NodeWeaver integrates orchestration, software-defined storage, software-defined networking, multiple hypervisors all managed by the intelligent autonomous system. 

Customers who need to manage a large fleet of deployments already have their own monitoring framework in place. NodeWeaver has a full API that allows them to monitor (and manage) their edge systems using their existing monitoring framework. Tools like Ansible, Puppet, Chef, Terraform, and OneFlow Services are for operating system and application automation and management. NodeWeaver fully supports those as well, via a combination of pre-built Marketplace VMs (in the case of Terraform) or built-in services (OneFlow), or simply via API and network connection. 

The NodeWeaver marketplace enables users to quickly download complete, pre-configured application stacks [including operating system] and service templates, using any of the software products in the catalog, and deploy them with minimal effort; automatically load balanced across nodes in a highly resilient, agile and scalable compute cluster capable of running multiple virtual machines and container-based workloads.

Industrial control systems used to drive production equipment in factories and plants were installed more than 20 years ago and are now becoming outdated, presenting major business challenges. While this infrastructure has provided a stable platform for control systems for many years, it lacks flexibility, requires costly manual maintenance, and does not easily allow process information to be exported and analyzed. Virtualization overcomes the limitations of legacy control systems infrastructure and provides the foundation for the Industrial Internet of Things (IIoT).

Control functions that were previously deployed across the network as dedicated hardware appliances can be virtualized and consolidated onto commercial off-the-shelf (COTS) servers, which not only leverages the most advanced silicon technology but also reduces capital expenditure, lowers operating costs, reduces risk, and improves ability to manage change and implement continuous improvement.

One of the leading providers of solutions for large-scale industrial laundry systems has been a NodeWeaver customer for over 2 years. They control and monitor all processes, provide predictive analytics, as well as automated deployment and management of all systems.

With no IT staff at these locations, system resiliency and the ability to autonomically address failures and maintain uptime is crucial. Additionally, the environments in these locations are characterized by high temperatures and humidity, thus requiring fanless, ruggedized hardware that can withstand these conditions.

NodeWeaver’s software-only approach provided the flexibility to choose the hardware necessary for the application, and its lightweight codebase enables it to run on smaller devices that competing solutions simply can’t support, equating to an unmatched combination of reliability, flexibility, and time to value.

Another Well Done Virtual Conference—Ignition Community Conference

Just to keep my perspective in balance, I attended a national soccer referee instructor virtual training. It was terrible. The presenters were not familiar with the technology and the presentation was incoherent.

Therefore, what a joy to attend another well done industrial technology conference. The Ignition Community Conference sponsored by Inductive Automation was Tuesday Sept. 15, but you can click the link and see the presentations for a while. I attended two other conferences (unfortunately not the Apple one) and therefore ran out of time to watch more today. But, I’ll be back to catch other presentations.

Chief Marketing Officer Don Pearson always has a relevant quote to serve as a theme for the conference. “Let’s stop trying to predict the future; let’s build it!” Stop and ponder.

The Ignition platform has greatly expanded over the years without losing the core ideas founder Steve Hechtman first explained to me in 2003. Built upon IT-friendly technology with a core strategy of unlimited licensing, the result is a robust HMI/SCADA offering that is affordable. [Note: Inductive Automation is a sponsor, but I’ve been a fan since long before that happened.]

They call it a “community conference” because they consider themselves, their customers, and their partners as a community. And when they gather physically (and even virtually), the people all act like a community. I always enjoy the conference feeling.

Hechtman discussed how the executive team met at the very beginning of hearing about the pandemic to begin preparing for remote work. Among other things they bought a lot of laptop computers. As things went along, they discovered that overall everyone was more productive working remotely. This will become a new way of life for most at the company. 

Preparing for business in the Covid environment, they improved the support function and added more people. They improved remote training–and a significant number of customers would prefer to continue remote training although many still wish to return to in-person classes when it’s possible. 

Speakers extolled the stories returning about how people are using the Maker edition unveiled in June. Ignition Perspective is another key new product that serves as a base for the main product Ignition 8.1. 

Key themes included filling out the promise of IoT broached back in 2016, mobility, remote control, large enterprise solutions, and working with AWS and Azure. Inductive has come a long way.

Ignition 8.1 is a release that will be supported five years. Its development them was refining version 8.0 released last year. It’s vision is based on Perspective. They worked to make it the best visualization platform. Perspective makes it easier to create in a variety of platforms–including the new Workstation edition. It’s now not only Web-based, but also has this Workstation edition to enhance speed. They have developed an easier-to-use and improved symbol library. They’ve added first-party Docker support. Plus a Quick Start application to help people new to the platform to get configured and ready to use.

Be sure to visit the ICC website and examine all the use cases and partners.

Emerson Invests As Software Eats The Industrial World

Marc Andreessen the famed technologist and investor famously said almost 10 years ago that “software is eating the world.” The industrial market, famously slow to move, has been resembling that remark over the past year. In this episode, Emerson has announced an acquisition and an investment in software. Yes, the valves and DeltaV Emerson. Or, the big guys get bigger.

Emerson announced August 27 that it has agreed to acquire Open Systems International, Inc. (OSI Inc.) for $1.6 billion in an all cash transaction. 

OSI Inc. is a leading operations technology software provider that broadens and complements Emerson’s robust software portfolio and ability to help customers in the global power industry, as well as other end markets, in their quest to transform and digitize operations to more seamlessly incorporate renewable energy sources and improve energy efficiency and reliability.

Digitization is critical for the power industry to modernize and improve the reliability of the electric grid. Incorporating clean and renewable energy sources, such as solar and wind, requires balancing the variable nature of renewable energy with the often bi-directional demands of the grid. By combining Emerson’s domain expertise and leading technology in power generation with OSI Inc.’s complementary software and reach within the power transmission and distribution sectors, the acquisition will equip customers with the end-to-end ability to monitor, control and optimize real-time operations across the power enterprise through scalable, software-enabled automation and data management.

“An enormous change is underway as utilities globally are investing to digitize the grid and adapt to rapidly evolving energy sources and new technologies that increase consumer choices,” said Lal Karsanbhai, executive president of Emerson’s Automation Solutions business. “This acquisition will help the power industry maximize the remarkable opportunity to harness renewable energy sources and to accelerate the transformation to the smart power grid. Emerson now has the opportunity to be a leader in this large, rapidly growing market with a compelling and complete software and technology offering.”

Karsanbhai continued, “Our $1 billion standalone software and associated engineering implementation services portfolio is quickly growing to meet customer needs and support operational performance, analytics and digital transformation. OSI Inc. is a great business with a track record of high growth, strong profitability and long-term customer loyalty. This acquisition builds on Emerson’s software footprint and supports customers in providing comprehensive end-to-end solutions to help the power industry continue transforming to meet the needs of tomorrow.” 

OSI Inc. is headquartered in Minneapolis, MN and has approximately 1,000 employees globally.

The acquisition is expected to close in early fiscal 2021, subject to various regulatory approvals and other customary closing conditions.

In additional news, Emerson announced it has made an equity investment in inmation Software GmbH, a global software platform developer that further deepens Emerson’s data management and integration capabilities. The investment will increase data visibility and provide unified, actionable information to empower fast decision-making and optimized operations.

inmation aggregates global operational data from across the enterprise into the Plantweb digital ecosystem to create an OT data lake – a centralized storage repository – that serves as the foundation for business intelligence and analytics.

“Emerson and inmation are committed to advancing our customers’ digital transformation initiatives, bringing disparate data together with advanced analytics to provide the comprehensive insights needed to drive business results,” said Stuart Harris, group president for Emerson’s digital transformation business. “Our joint solutions unlock vital information in legacy systems, aggregate data from diverse sources and securely connect to the cloud – enabling plant and enterprise-wide operational improvement.”

The investment will complement Emerson’s effort to build an innovative software platform that provides data aggregation, artificial intelligence, machine learning, augmented reality and workflow management. The platform, coupled with the expertise of the two companies, will further enable customers to realize a measurable return on their digital transformation efforts.

“Emerson’s longtime leadership in digital transformation, global execution and customer service capabilities made them a natural partner,” said Timo Klingenmeier, CEO of inmation. “We see widespread industry benefits as we pair Emerson’s award-winning Plantweb digital ecosystem with inmation’s data management software platform to offer customers end-to-end solutions.”

inmation Software GmbH is based in Cologne, Germany.

The terms of the investment were not disclosed.

Aveva Prioritizes Cloud Strategy

The usual summer provides little news after the June rush of conferences. This year I think AVEVA alone could have kept me supplied with news and thoughts. There were at least two digital events. Twice I was up (well, actually my normal time) early for a 6 am breakfast roundtable discussion. Not complaining. It was all good.

While I have watched an IT company pivot to an “as-a-service” company after cloud became quite common, in the OT world cloud has just become a “thing.” And here we are thinking about AVEVA’s embrace of the cloud. I could say “about time”, but in the industrial world we tend not to rush things. So, here is an update on the company’s “Cloud-First” strategy.

AVEVA has unveiled ‘Cloud-First’, a key component of its long-term software portfolio strategy to focus on providing core services in the cloud to ensure high uptime and availability, user management, and the flexibility to try new solutions. The strategy includes the introduction of scenario-driven integration between products for rapid time to value.

To operationalize this strategy, AVEVA has also announced advances to AVEVA ConnectAVEVA Unified Engineering, and AVEVA Insight Guided and Advanced Analytics.

AVEVA Connect, designed to securely host AVEVA software solutions in the cloud, currently enables more than 1,900 customers and over 25,000 users. Cloud computing facilitates improved user management across all assets as well as the capability to monitor usage of subscription credits across the entire AVEVA software portfolio.

“The new normal has required a shift in business focus and imperatives,” said Ravi Gopinath, Chief Cloud Officer and Chief Product Officer, AVEVA. “Moving forward, businesses will witness reduced capital investments, changing working processes, a heightened need for visualization tools and much greater agility and responsiveness across the value chain to minimize value leaks and optimize production to maximize profit opportunities.  Organizational focus has shifted to demand increased flexibility, much more real time collaboration, intelligent applications and a more streamlined user experience. AVEVA Connect will serve as a ‘one stop shop’ for all these requirements.”

AVEVA Unified Engineeringdelivers a collaborative data-centric environment with a single source of accountability across the engineering lifecycle. Multi-discipline teams across owner operators and EPCs can now collaborate to execute greenfield and brownfield projects with high traceability in a secure cloud environment that can be set up in days to accelerate time to value and reduce total installed cost.

AVEVA Insight Guided and Advanced Analytics are now available in the Cloud for advanced pattern recognition to augment automated analytics and condition monitoring. The solution enables customers to start on a predictive analytics-based Asset Performance strategy without the need for complex modelling or data science. This solution allows the user to create easy-to-deploy models targeting specific assets, providing reliable anomaly detection with minimal configuration.

From operating information analysis and low-code application development to complex engineering visualization, AVEVA Connect’s functionality allows easy trials for new capabilities.

‘Cloud-First’ includes the introduction of scenario-driven integration between products for rapid time to value. Later this year, AVEVA will also introduce software development kits to enable partners to provide their solutions within the AVEVA Connect platform in order to increase the range of capabilities available to customers.

“The shift to the cloud isn’t a matter of choice but something that must aggressively be pursued. The tremendous advantages of deployment and ownership costs, the ability to flexibly consume purely based on need and the removal of localized barriers to allow unprecedented levels of work efficiency and collaboration mean that we will continue to add to the rich domain content of our portfolio, because this is not just about technology, but about the realities and specifics of our customer’s business,” concluded Gopinath.

NI’s Enterprise Software Foray

I passed along the news of NI’s entrance into enterprise software with SystemLink a couple of weeks ago. Later, I had the opportunity to follow up with Penny Merian, chief product marketer, Enterprise Software, at NI.

She confirmed that this is indeed a new venture forward for NI. But it builds upon the rich history of test and measurement bringing systems and data management expertise to expand and leverage the rich data environment. The goal is to enrich data, in a wholistic and real-time manner for the purpose of eliminating waste in the process. Dumping data into Microsoft Excel, which is a common way of handling data, yields “old data” according to Merian. The need is to feed KPIs that the user needs in order to accelerate actions.

Being aware of NI’s history and its customers, I asked what roles do customers of this software hold within companies. She specified several roles and their needs.

  • Test engineers and technicians—standardizing ways of looking at data, time delays
  • Directors—real time information, correlation analysis, enablement
  • VP—shorter time to market

She mentioned a customer, Dyson, who began manufacturing ventilators. SystemLink helped with management, track pass/fail, and helped manage supply chain. From more of a pure data analysis point of view, another customer, Jaguar, used SystemLink to reduce the cost of testing. 

Smart App Embedded with Artificial Intelligence Improves Operations in Real-time

The popular press dithers over Artificial Intelligence and the “young ladies” Siri and Alexa spy on your every word. However, there are real, practical applications of AI that can help us operate and maintain our manufacturing and industrial operations. Here is one from AVEVA, a company that seems to have dominated my news this summer.

It has launched AVEVA Insight OMI app infusing real-time artificial intelligence into an operator’s decision-making. This app presents real-time anomaly detection in a context-aware OMI visualization display.

The AVEVA Insight OMI app introduces AI capabilities into the AVEVA System Platform, formerly Wonderware, and leverages predictive early warning and automatic detection of unusual operational behavior. This provides users with early notification so they can quickly resolve issues before they become critical business problems such as unplanned downtime and production losses.

A simple management interface enables operations, maintenance and production teams to quickly train the AI engine to adapt to the enterprise’s specific implementation. An intuitive thumbs-up or thumbs-down confirmation ensures AI-driven notifications are relevant to the needs of the user and support overall enterprise objectives, with no programming or data science knowledge required. This closed-loop feedback improves the accuracy of the AI prediction engine over time and enables users to see what matters. As anomalous patterns are identified, they can be captured and presented by the app within an organization’s on-premise HMI/SCADA solution, delivering insights directly where operators need it.

“IIoT applications have driven a massive increase in the collection of real-time operations and manufacturing data. As a result, operators face alarm overload and often cannot effectively react to or distinguish between process-critical situations and false positive alarm conditions, resulting in the loss of operational time and resources. By harnessing the power of AI and advanced cloud analytics, AVEVA is enabling operators to take proactive action, before process and maintenance problems occur,” commented Rashesh Mody, Vice President, Monitoring and Control, AVEVA.

“In today’s climate of increased demand for innovative technology solutions, the launch of our new AVEVA Insight OMI app is a significant development because it serves as a single interface into operations by bridging the information technology and operational technology divide for increased agility and situational awareness. We are very excited to introduce a solution that will help our customers manage critical operations and improve decision support for maximum profitability in these fast-changing times,” Mody concludes.

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