Learn how to achieve holistic operational visibility into IIoT business environments by correlating the data from Operational Technology and IT, and organizing it as a single pane of glass in accordance with business processes.
For many, web-scale IT is an alien and drastic approach being met with fear and resistance. So the first question for any organization should be; what is it? Cameron Haight, Gartner’s chief of research for infrastructure and operations, coined the term “Web-scale IT” earlier 2014 as a way to describe the new ways organizations leverage technology to provide their customers with content quickly and at massive scale.
Predix Builder Roadshow event content detailing the Industrial Internet of Things, Building the Digital Twin, Predix Edge Essential, Predix Dojo Program, and upcoming Predix events.
The Industrial Internet of Things (IIoT) is already transforming how manufacturing and energy firms build, maintain, sell, and deliver their products and services.
With the explosion of connected devices and their data, however, the looming challenge will not just be in how we connect those devices to one another and manage them, but how to connect them meaningfully and reliably to the traditional IT and business processes they power.
John Speck of Centerity Systems explains how their software solution collects data from connected devices and sensors and gets that data to the edge and cloud. He then shows how industrial firms can realize significant savings in operating expenses and enable business-driven operational decision making by unifying OT (Operational Technology) and IT performance management and organizing technology operations according to actual business processes.
Embedded systems are becoming interconnected and accessible via the internet. Gartner Group estimates there will be nearly 26 billion devices that make up the Internet of Things by 2020. This results in a massive variety of connected devices with varying security, reliability, and authentication requirements. Cost sensitivity also figures into the equation. This mix of requirements and costs require IoT developers to identify sensor, processor, and software solutions that address the requirements and hit required price points. Join us as IoT solution experts discuss sensors, connectivity, processors, platforms, and software for IoT applications and overview applications of IoT in various markets.
Watch for free on-demand http://ecast.opensystemsmedia.com/511
1. What does Predix bring to the table?
2. How is it different to Cloud Foundry and IBM Bluemix?
3. Predix service catalog. Which services can set Predix apart?
4. Top use cases and apps
5. Likely scenarios of Predix evolution
For many, web-scale IT is an alien and drastic approach being met with fear and resistance. So the first question for any organization should be; what is it? Cameron Haight, Gartner’s chief of research for infrastructure and operations, coined the term “Web-scale IT” earlier 2014 as a way to describe the new ways organizations leverage technology to provide their customers with content quickly and at massive scale.
Predix Builder Roadshow event content detailing the Industrial Internet of Things, Building the Digital Twin, Predix Edge Essential, Predix Dojo Program, and upcoming Predix events.
The Industrial Internet of Things (IIoT) is already transforming how manufacturing and energy firms build, maintain, sell, and deliver their products and services.
With the explosion of connected devices and their data, however, the looming challenge will not just be in how we connect those devices to one another and manage them, but how to connect them meaningfully and reliably to the traditional IT and business processes they power.
John Speck of Centerity Systems explains how their software solution collects data from connected devices and sensors and gets that data to the edge and cloud. He then shows how industrial firms can realize significant savings in operating expenses and enable business-driven operational decision making by unifying OT (Operational Technology) and IT performance management and organizing technology operations according to actual business processes.
Embedded systems are becoming interconnected and accessible via the internet. Gartner Group estimates there will be nearly 26 billion devices that make up the Internet of Things by 2020. This results in a massive variety of connected devices with varying security, reliability, and authentication requirements. Cost sensitivity also figures into the equation. This mix of requirements and costs require IoT developers to identify sensor, processor, and software solutions that address the requirements and hit required price points. Join us as IoT solution experts discuss sensors, connectivity, processors, platforms, and software for IoT applications and overview applications of IoT in various markets.
Watch for free on-demand http://ecast.opensystemsmedia.com/511
1. What does Predix bring to the table?
2. How is it different to Cloud Foundry and IBM Bluemix?
3. Predix service catalog. Which services can set Predix apart?
4. Top use cases and apps
5. Likely scenarios of Predix evolution
IoT - Retour d'expérience de projets clients dans le domaine IoT. Michael Epprecht, Technical Specialist in the Global Black Belt IoT Team at Microsoft. Conférence donnée dans le cadre du Swiss Data Forum, du 24 novembre 2015 à Lausanne
IoT Architecture - are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
The Industrial Internet is an emerging communication infrastructure that connects people, data, and machines to enable access and control of mechanical devices in unprecedented ways. It connects machines embedded with sensors and sophisticated software to other machines (and end users) to extract data, make sense of it, and find meaning where it did not exist before. Machines--from jet engines to gas turbines to medical scanners--connected via the Industrial Internet have the analytical intelligence to self-diagnose and self-correct, so they can deliver the right information to the right people at the right time (and in real-time).
Despite the promise of the Industrial Internet, however, supporting the end-to-end quality-of-service (QoS) requirements is hard. This talk will discuss a number of technical issues emerging in this context, including:
Precise auto-scaling of resources with a system-wide focus.
Flexible optimization algorithms to balance real-time constraints with cost and other goals.
Improved fault-tolerance fail-over to support real-time requirements.
Data provisioning and load balancing algorithms that rely on physical properties of computations.
It will also explore how the OMG Data Distribution Service (DDS) provides key building blocks needed to create a dependable and elastic software infrastructure for the Industrial Internet.
D4: Predix Cool Features (Predix Transform 2016) Predix
http://predixtransform.com
See what's brewing in the Predix architecture labs. We'll provide examples of features and additions currently under consideration. While we cannot guarantee that all ideas will eventually become products, we promise this session to be packed with interesting and perhaps awe-inspiring previews.
Topics covered: Predix Appliance; Extended Asset Service; Knowledge Graph; Blockchain for Industrial Internet of Things
The Enterprise Internet of Things: Think Security FirstDell World
The proliferation of connected products and equipment creates an almost limitless combination of physical-cyber intersections and opportunities for security breaches. Designing enterprise Internet of Things (IoT) ecosystems must start with identifying potential security vulnerabilities and developing a unified security approach to keep a step ahead of threats and maintain a predictive, proactive security posture. Securing IoT ecosystems is complex but with the industry's broadest portfolio of security tools and expertise—and a holistic approach—Dell helps reduce security risk to ensure your enterprise infrastructure and data remain safe, secure and private. This session will discuss the unique security risks in IoT ecosystems and the strategies and tools for addressing them.
Integrator Roundtable Discussion: Facing the Future of AutomationInductive Automation
This webinar will bring together experienced system integrators from a variety of industries for a compelling discussion. Join us to learn how integrators are approaching some of today’s biggest challenges and helping customers realize the full potential of automation.
Get integrators’ insights on:
• "Brownfield" vs. "greenfield" projects
• Trends in HMI, SCADA, and MES
• Cloud vs. edge computing
• The importance of open standards
• The future of manufacturing jobs
• And more
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...DataWorks Summit
The electric grid has evolved from linear generation and delivery to a complex mix of renewables, prosumer-generated electricity, and electric vehicles (EVs). Smart meters are generating loads of data. As a result, traditional forecasting models and technologies can no longer adequately predict supply and demand. Extreme weather, an aging infrastructure, and the burgeoning worldwide population are also contributing to increased outage frequency.
In oil and gas, commodity pricing pressures, resulting workforce reductions, and the need to reduce failures, automate workflows, and increase operational efficiencies are driving operators to shift analytics initiatives to advanced data-driven applications to complement physics-based tools.
While sensored equipment and legacy surveillance applications are generating massive amounts of data, just 2% is understood and being leveraged. Operationalizing it along with external datasets enables a shift from time-based to condition-based maintenance, better forecasting and dramatic reductions in unplanned downtime.
The session includes plenty of real-world anecdotes. For example, how an electric power holding company reduced the time it took to investigate energy theft from six months to less than one hour, producing theft leads in minutes and an expected multi-million dollar ROI. How a global offshore contract drilling services provider implemented an open source IIoT solution across its fleet of assets in less than a year, enabling remote monitoring, predictive analytics and maintenance.
Key takeaways:
• How are new processes for data collection, storage and democratization making it accessible and usable at scale?
• Beyond time series data, what other data types are important to assess?
• What advantage are open source technologies providing to enterprises deploying IIoT?
• Why is collaboration important across industrial verticals to increase IIoT open source adoption?
Speaker
Kenneth Smith, General Manager, Energy, Hortonworks
ARC Advisory Group Vice President Craig Resnick and Inductive Automation Chief Strategy Officer Don Pearson discuss a new type of IIoT architecture that can increase data throughput, provide greater agility, and improve enterprise-wide communication. Learn how IIoT could reshape the way industrial organizations implement system architectures, and deepen your knowledge of the key factors driving this movement.
Explore megatrends in manufacturing:
- Digital enterprise/IIoT platforms
- Edge computing
- Open enterprise architectures for the IIoT age
- Virtual and augmented reality in factory environments
- The factory workforce of the future
- Cybersecurity needs and solutions
- And more
Migrating to the Cloud – Is Application Performance Monitoring still required?eG Innovations
As more businesses adopt cloud technologies for their various benefits it must be noted that not all cloud offerings are the same and provide different services or infra SLA. Do you know that not all SLA from cloud providers mean your application will be ensured similar availability?
Depending on whether you are leveraging Saas, Paas, Iaas, etc to deliver your applications, you will have a different level of visibility and control of how you manage performance and deliver the user experience expected by your users.
Join the session and find out what remains within your responsibility and how you can monitor the various cloud infrastructure/services to give yourself the needed visibility to deliver the expected user experience without over-provisioning to ensure better performance.
The presentation looks at the growing demand for data that many organizations are experiencing. Then it will look at the many data sources you can connect to using Ignition, including PLC data; databases; device data; and data from web services.
Here is a link to the webinar - https://inductiveautomation.com/resources/webinar/webinar-get-more-data-your-scada
IoT - Retour d'expérience de projets clients dans le domaine IoT. Michael Epprecht, Technical Specialist in the Global Black Belt IoT Team at Microsoft. Conférence donnée dans le cadre du Swiss Data Forum, du 24 novembre 2015 à Lausanne
IoT Architecture - are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
The Industrial Internet is an emerging communication infrastructure that connects people, data, and machines to enable access and control of mechanical devices in unprecedented ways. It connects machines embedded with sensors and sophisticated software to other machines (and end users) to extract data, make sense of it, and find meaning where it did not exist before. Machines--from jet engines to gas turbines to medical scanners--connected via the Industrial Internet have the analytical intelligence to self-diagnose and self-correct, so they can deliver the right information to the right people at the right time (and in real-time).
Despite the promise of the Industrial Internet, however, supporting the end-to-end quality-of-service (QoS) requirements is hard. This talk will discuss a number of technical issues emerging in this context, including:
Precise auto-scaling of resources with a system-wide focus.
Flexible optimization algorithms to balance real-time constraints with cost and other goals.
Improved fault-tolerance fail-over to support real-time requirements.
Data provisioning and load balancing algorithms that rely on physical properties of computations.
It will also explore how the OMG Data Distribution Service (DDS) provides key building blocks needed to create a dependable and elastic software infrastructure for the Industrial Internet.
D4: Predix Cool Features (Predix Transform 2016) Predix
http://predixtransform.com
See what's brewing in the Predix architecture labs. We'll provide examples of features and additions currently under consideration. While we cannot guarantee that all ideas will eventually become products, we promise this session to be packed with interesting and perhaps awe-inspiring previews.
Topics covered: Predix Appliance; Extended Asset Service; Knowledge Graph; Blockchain for Industrial Internet of Things
The Enterprise Internet of Things: Think Security FirstDell World
The proliferation of connected products and equipment creates an almost limitless combination of physical-cyber intersections and opportunities for security breaches. Designing enterprise Internet of Things (IoT) ecosystems must start with identifying potential security vulnerabilities and developing a unified security approach to keep a step ahead of threats and maintain a predictive, proactive security posture. Securing IoT ecosystems is complex but with the industry's broadest portfolio of security tools and expertise—and a holistic approach—Dell helps reduce security risk to ensure your enterprise infrastructure and data remain safe, secure and private. This session will discuss the unique security risks in IoT ecosystems and the strategies and tools for addressing them.
Integrator Roundtable Discussion: Facing the Future of AutomationInductive Automation
This webinar will bring together experienced system integrators from a variety of industries for a compelling discussion. Join us to learn how integrators are approaching some of today’s biggest challenges and helping customers realize the full potential of automation.
Get integrators’ insights on:
• "Brownfield" vs. "greenfield" projects
• Trends in HMI, SCADA, and MES
• Cloud vs. edge computing
• The importance of open standards
• The future of manufacturing jobs
• And more
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...DataWorks Summit
The electric grid has evolved from linear generation and delivery to a complex mix of renewables, prosumer-generated electricity, and electric vehicles (EVs). Smart meters are generating loads of data. As a result, traditional forecasting models and technologies can no longer adequately predict supply and demand. Extreme weather, an aging infrastructure, and the burgeoning worldwide population are also contributing to increased outage frequency.
In oil and gas, commodity pricing pressures, resulting workforce reductions, and the need to reduce failures, automate workflows, and increase operational efficiencies are driving operators to shift analytics initiatives to advanced data-driven applications to complement physics-based tools.
While sensored equipment and legacy surveillance applications are generating massive amounts of data, just 2% is understood and being leveraged. Operationalizing it along with external datasets enables a shift from time-based to condition-based maintenance, better forecasting and dramatic reductions in unplanned downtime.
The session includes plenty of real-world anecdotes. For example, how an electric power holding company reduced the time it took to investigate energy theft from six months to less than one hour, producing theft leads in minutes and an expected multi-million dollar ROI. How a global offshore contract drilling services provider implemented an open source IIoT solution across its fleet of assets in less than a year, enabling remote monitoring, predictive analytics and maintenance.
Key takeaways:
• How are new processes for data collection, storage and democratization making it accessible and usable at scale?
• Beyond time series data, what other data types are important to assess?
• What advantage are open source technologies providing to enterprises deploying IIoT?
• Why is collaboration important across industrial verticals to increase IIoT open source adoption?
Speaker
Kenneth Smith, General Manager, Energy, Hortonworks
ARC Advisory Group Vice President Craig Resnick and Inductive Automation Chief Strategy Officer Don Pearson discuss a new type of IIoT architecture that can increase data throughput, provide greater agility, and improve enterprise-wide communication. Learn how IIoT could reshape the way industrial organizations implement system architectures, and deepen your knowledge of the key factors driving this movement.
Explore megatrends in manufacturing:
- Digital enterprise/IIoT platforms
- Edge computing
- Open enterprise architectures for the IIoT age
- Virtual and augmented reality in factory environments
- The factory workforce of the future
- Cybersecurity needs and solutions
- And more
Migrating to the Cloud – Is Application Performance Monitoring still required?eG Innovations
As more businesses adopt cloud technologies for their various benefits it must be noted that not all cloud offerings are the same and provide different services or infra SLA. Do you know that not all SLA from cloud providers mean your application will be ensured similar availability?
Depending on whether you are leveraging Saas, Paas, Iaas, etc to deliver your applications, you will have a different level of visibility and control of how you manage performance and deliver the user experience expected by your users.
Join the session and find out what remains within your responsibility and how you can monitor the various cloud infrastructure/services to give yourself the needed visibility to deliver the expected user experience without over-provisioning to ensure better performance.
The presentation looks at the growing demand for data that many organizations are experiencing. Then it will look at the many data sources you can connect to using Ignition, including PLC data; databases; device data; and data from web services.
Here is a link to the webinar - https://inductiveautomation.com/resources/webinar/webinar-get-more-data-your-scada
E1: Building the Digital Twin (Predix Transform 2016)Predix
http://predixtransform.com
Understand how to develop analytics models using the Asset and Analytics services within Predix. We'll start with a quick tour of the conceptual framework, and then dive deep into actual modeling and deployment examples that you can use. This session will include demo and code walk-through.
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)Apache Apex
This presentation will introduce usage of Apache Apex for Time Series & Data Ingestion Service by General Electric Internet of things Predix platform. Apache Apex is a native Hadoop data in motion platform that is being used by customers for both streaming as well as batch processing. Common use cases include ingestion into Hadoop, streaming analytics, ETL, database off-loads, alerts and monitoring, machine model scoring, etc.
Abstract: Predix is an General Electric platform for Internet of Things. It helps users develop applications that connect industrial machines with people through data and analytics for better business outcomes. Predix offers a catalog of services that provide core capabilities required by industrial internet applications. We will deep dive into Predix Time Series and Data Ingestion services leveraging fast, scalable, highly performant, and fault tolerant capabilities of Apache Apex.
Speakers:
- Venkatesh Sivasubramanian, Sr Staff Software Engineer, GE Predix & Committer of Apache Apex
- Pramod Immaneni, PPMC member of Apache Apex, and DataTorrent Architect
S1: Predix ISV Partner Program (Predix Transform 2016)Predix
http://predixtransform.com
We'll provide a brief overview of how to build and monetize applications and/or software services on the Predix platform, including how (and why) to build on Predix. We'll shed light on the approval process, guidelines, and requirements overview, as well as tools and resources to support developers. The session will also provide brief demonstrations of the Partner Portal and Predix.io.
GE Predix Transform 2016 - UX & Customer EngagementDavid Bingham
With the digitization of industry comes the need for a new approach in engaging customers interested in the industrial internet. The inherent complexities of the IIoT creates latent problems that cannot be successfully addressed using traditional sales techniques or fitting legacy off-the-shelf solutions. This presentation will demonstrate how GE Digital positions UX practices at the front end of customer engagements, guiding consultative discovery sessions to shape business opportunities in the industrial internet.
The materials presented include a set of methods curated in trial-by-fire situations with Emerging Vertical customers from 2014 to 2016. Combining aspects of outcome based sales and design thinking through a co-creation process, the audience will learn how to address the interests of executive stakeholders, gather and prioritize business outcomes, and derive strategic roadmaps inclusive of user-needs.
E3: Edge and Cloud Connectivity (Predix Transform 2016)Predix
http://predixtransform.com
The edge is where the Industrial Internet starts (and ends). Understand the roles Predix Machine and Connectivity play for your app architecture. Then use the essential tool kits to build your own edge-connected apps. We'll cover edge management (enrollment and security), edge analytics, and data ingestion (e.g., HTTP and MQTT).
http://Predixtransform.com
This session will provide an in-depth look at Predix availability and reliability from a cloud infrastructure and support perspective. We will also discuss the Predix approach for managing industrial data at scale.
PAM3: Machine Learning in the Railway Industry ( Predix Transform 2016)Predix
http://predixtransform.com
See how Machine Learning algorithms and video analytics, powered by Predix, has been used to detect defects in railways tracks. View demos build using Python and OpenCV, and an actual field video showing different cases of anomaly detection.
The Industrial Internet of Things (IIoT) is already transforming how manufacturing and energy firms build, maintain, sell, and deliver their products and services.
With the explosion of connected devices and their data, however, the looming challenge will not just be in how we connect those devices to one another and manage them, but how to connect them meaningfully and reliably to the traditional IT and business processes they power.
Marty Pejko of Centerity Systems explains how their software solution unifies the IIoT environment by interfacing directly to connected devices/sensors using any protocol, overlaying a single common data model for device interoperability, and then pushes that data to the edge and Cloud to perform analytics. He then shows how their customers achieve holistic operational visibility by correlating the OT (Operational Technology) and IT performance and organizing that data according to real business processes from a single console.
IoT Solutions for Smart Energy Smart Grid and Smart Utility ApplicationsEurotech
Smart Energy Smart Grid and Smart Infrastructure - Many Applications and Devices
An introduction to Eurotech' s IoT Field-to-Application Building Blocks for the Energy and Utility Industry
Discover existing customer stories from various industries such as manufacturing, logistics and construction. No theoretical use cases, but in-depth insights that will help you on how to get started with IoT.
You know better than anyone how IoT is transforming your industry. It is a business revolution that offers many opportunities. But let’s be honest, it comes also with its challenges.
Time for action!
It can be a challenge to figure out which is the best set of services to bring together. Codit knows what you need. We have been building IoT solutions right from the start, for companies just like yours. Understanding business cases and translating them to working solutions is what we do.
Verso IoT experience – What have we learned from implementations all over the...Bosnia Agile
IoT projects face many obstacles on their journey from idea to end-to-end solution. Technology is less an issue, with many vendors and solutions emerging every day. This brings optimism, but also concerns about proper future proof choice and interoperability issues. Even bigger concerns are present in business model definition, business cases creation, go-to-market strategy preparation which requires organizational changes that companies need to conduct in order to be long-term successful in the IoT domain. Verso deploys many projects worldwide, focusing mainly on communication part of IoT solution, however being involved in business discussion as well. What are common technological and business obstacles and what are best practices to resolve them will be the main feature of our presentation.
Internet of Things - Are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks.
http://www.controlscon.com Controls-Con is a bi-annual Smart Building and Building Controls Conference that takes place in Detroit, Michigan with a focus on building controls, building automation, and the IoT.
This fast-paced, education-packed event attracts more than 600 systems integrators, service technicians, building managers, contractors, engineers, end users, and more from throughout the United States and Canada. Controls-Con gives them the chance to explore the latest technologies and possibilities of Building Controls and Automation and includes a Building Automation Trade Show featuring the industry's top manufacturers, networking opportunities, educational sessions, and more.
Here you will find the PowerPoint presentation shown during the Business Track that took place on Day Two of Controls-Con.
Learn more about this smart building conference by visiting http://www.controlscon.com.
Subscribe to upcoming event news, industry updates, and more by visiting http://www.cochranesupply.com.
For the IoT industry to thrive, there are three categories of challenges to overcome: technology, business, and society. The upcoming webinar will shed some on what issues to expect soon.
Key challenges facing the future of IoTAhmed Banafa
The Internet of Things (#IoT) phenomenon—ubiquitous connected things providing key physical data and further processing of that data in the cloud to deliver business insights— presents a huge opportunity for many players in all businesses and industries. Many companies are organizing themselves to focus on IoT and the connectivity of their future products and services. For the IoT industry to thrive there are three categories of challenges to overcome and this is true for any new trend in technology not only IoT:
IoT Challenges
Technology
Business
Society
The Internet of Things (IoT) is a network of physical objects (devices, vehicles, buildings, etc.) embedded with electronics, software, sensors & network connectivity that are designed to collect & exchange data. Enterprises are adopting the IoT for the benefits offered, e.g., operations optimization, cost reduction & improved efficiency.
Similar to Unified Analytics in GE’s Predix for the IIoT: Tying Operational Technology to IT (20)
In this webinar we will discuss:
- The profile of an organization that is Expert at Kubernetes on Azure and AKS
- How to get to Expert status
- The challenges along the way and how embracing Azure services can help
- A demo of deploying applications with velocity on AKS
Journey Through Four Stages of Kubernetes Deployment MaturityAltoros
In this webinar we will discuss a crawl, walk, run approach to continuous delivery (CD) for applications, point by point:
Where to start, how to advance, and how to reach the level of maximum automation.
How to orchestrate CI/CD processes along with routing and business continuity.
When the automation level is sufficient.
GitOps principles and their benefits.
What tools should be used to automate CI, CD, GitOps, Container Registry, Secrets management, etc
SGX: Improving Privacy, Security, and Trust Across Blockchain NetworksAltoros
These slides explain how to use Intel Software Garden Extensions (SGX) to improve privacy, security, trust, and transparency across blockchain networks that store sensitive data.
Using the Cloud Foundry and Kubernetes Stack as a Part of a Blockchain CI/CD ...Altoros
These slides exemplify how to employ the tools available through Cloud Foundry and Kubernetes to enable a continuous integration and continuous delivery pipeline on blockchain.
The combination of StackPointCloud with NetApp creates NetApp Kubernetes Service, the industry’s first complete Kubernetes platform for multi-cloud deployments and a complete cloud-based stack for Azure, Google Cloud, AWS, and NetApp HCI. Further, Trident is a fully supported open source project maintained by NetApp, designed from the ground up to help meet the sophisticated persistence demands of containerized applications.
With no built-in solutions for managing user accounts, Kubernetes has to rely on external systems for this. Can we use one UAA solution for both Cloud Foundry and Kubernetes authentication while building a hybrid deployment?
Troubleshooting .NET Applications on Cloud FoundryAltoros
These slides overview how logs can be employed to troubleshoot .NET app on Cloud Foundry, as well as how to use metrics to enable preventive maintenance.
Continuous Integration and Deployment with Jenkins for PCFAltoros
Jenkins has been the preferred tool for continuous integration and deployment for many years already due to it's smooth user experience, easy configuration, abundance of available plugins and integrations. During the talk we will tell about best practices on using Jenkins together with Cloud Foundry installations, accelerating cloud-native application delivery and packaging using combination of Docker and Jenkins and thoughtful configuration of CI/CD pipelines and keeping apps up-to-date on all CF environments.
At the Cloud Foundry Summit 2017 in Santa Clara, Altoros and GE Digital talked about a sensor-based solution for tracking luggage from registration to claim belt.
Navigating the Ecosystem of Pivotal Cloud Foundry TilesAltoros
For application developers, PCF tiles are arguably the easiest way to run Redis, Elasticsearch, Cassandra, or any other backing service with applications in the cloud.
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Watch this slides to understand how IoT and AI may work together.
Over-Engineering: Causes, Symptoms, and TreatmentAltoros
If your are using Cloud Foundry, you are most obviously into the microservices architecture and cloud-native app development approach. These are definitely best practices in modern application development, but too much of a good thing is good for nothing. Overuse of these principles may lead to over-engineering, when an application is split into too much microservices and, as such, gets hard to maintain and support. This presentation highlights how far overuse of the microservices concept can go, what issues exist, and how these issues can be avoided.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
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Unified Analytics in GE’s Predix for the IIoT: Tying Operational Technology to IT
1.
2. True IoT End-To-End Visibility
Translating
Technology Data
to Business
Meaning
BusinessIT
3. Outline
• Phases of IoT Unification:
Operational Technology
o Challenges: Protocol/Data Model Diversity & Security
IIoT Alignment with IT Infrastructure & Applications
o Challenges: Redundant Tools & Lack of Real-time Correlation
Business Services
o Challenges: Silos of Data & Poor Service-Level Awareness
• Predix Use Case
• Recap: Centerity’s Added Value to Industrial IoT
4. IoT Projects Challenges
IoT projects impose a number of challenges that lead to very complex systems both at first deployment and throughout the
life-cycle of these systems.
• Multiple communication methods, complicate connectivity and interoperability
• Diverse data models increase ecosystem management complexity
• Service use case and ecosystem definitions change after deployment
• Custom made sensors and actuators are expensive. On
the other hand COTS (off-the-shelf) devices are affordable
but are not tailored for ecosystem’s security, service
model and communication requirements
5. Centerity IoT / IIoT End to End solution
device/sensor
connectivity
Agent
system
connectivity
Ecosystem MGMT
• Wide connectivity support for any communication
method, protocols and IT technologies
• A single abstract service model by translating IoT device
data models at runtime into business and operational
service views
• Dynamic ecosystem scalability and maintenance
• Adjusting COTS devices to the ecosystem’s security and
communication requirements with no firmware changes
• Secure device intercommunication across the entire
ecosystem
8. IIoT End-To-End Discovery, Data Collection & Translation
Thread
MQTT
WebSockets
AllJoyn
REST
HTTP
HTTPS
TCP
CoAP
BLE GATT
IoTivity
Thread
MQTT
WebSockets
AllJoyn
REST
HTTP
TCP
UDP
CoAP
BLE GATT
IoTivity
UDP
HTTPS
WiFi
Bluetooth
6LowPAN
Zigbee
Z-Wave
WiFi
Bluetooth
6LowPAN
Zigbee
Z-Wave
Translator
IT Infrastructure
Big Data & Advanced
Technologies
9. IIoT End-To-End Discovery, Data Collection & Translation
Thread
MQTT
WebSockets
AllJoyn
REST
HTTP
HTTPS
TCP
CoAP
BLE GATT
IoTivity
Thread
MQTT
WebSockets
AllJoyn
REST
HTTP
TCP
UDP
CoAP
BLE GATT
IoTivity
UDP
HTTPS
WiFi
Bluetooth
6LowPAN
Zigbee
Z-Wave
WiFi
Bluetooth
6LowPAN
Zigbee
Z-Wave
Translator
IT Infrastructure
Big Data & Advanced
Technologies
10. Outline
• Phases of IoT Unification:
Operational Technology
o Challenges: Protocol/Data Model Diversity & Security
IIoT Alignment with IT Infrastructure & Applications
o Challenges: Redundant Tools & Lack of Real-time Correlation
Business Services
o Challenges: Silos of Data & Poor Service-Level Awareness
• Predix Use Case
• Recap: Centerity’s Added Value to Industrial IoT
11. Challenges to IoT & IT Alignment
• No single solution available to monitor every technology in the environment
• Too many technology-specific tools needed
• No real-time correlation of performance data
• Result: No way of providing a single pane of glass to the entire ecosystem
15. • Big Data – Hadoop, SAP HANA etc.
• Converged / Hyperconverged infrastructure – Nutanix, Vblock, FlexPod etc.
• Cloud Technologies – Pivotal, Openstack, AWS etc.
• Others
Containers (Docker etc.)
Hypervisors (VMware, Citrix etc.)
Applications – Event logs, Syslogs, Rest, etc.
Connectivity / networking
DB (Hana, NoSQL etc.)
Storage
And much more…
Advanced Technologies Out of The Box
17. Outline
• Phases of IoT Unification:
Operational Technology
o Challenges: Protocol/Data Model Diversity & Security
IIoT Alignment with IT Infrastructure & Applications
o Challenges: Redundant Tools & Lack of Real-time Correlation
Business Services
o Challenges: Silos of Data & Poor Service-Level Awareness
• Predix Use Case
• Recap: Centerity’s Added Value to Industrial IoT
18. Challenges to Service-centric Performance
• Gaps in technology coverage
• Lack of correlation between domain-centric tools
• Complexity of enterprise environments breeds resignation
• Result: silos of technology data with no way to accurately perform cross-domain impact
analysis in real-time, and therefore giving an incomplete picture of a business process.
24. Outline
• Phases of IoT Unification:
Operational Technology
o Challenges: Protocol/Data Model Diversity & Security
IT Infrastructure & Applications
o Challenges: Redundant Tools & Lack of Real-time Correlation
Business Services
o Challenges: Siloed Data & Poor Service-Level Awareness
• Predix Use Case
• Recap: Centerity’s Added Value to Industrial IoT
25. Predix Use Case
Real-time coverage and monitoring of the Edge side
Integration with 3rd party products (VCE –Vision)
Provides end-to-end in-depth visibility to GE customers
Allows remote monitoring with managed services option
26. Centerity IoT Added-value
Measuring SLA for IoT platforms
• Business/Process Visibility across all Eco-systems
• Assuring High-level Services
• Single Pane of Glass approach
Improving Business/Process Health with minimal unplanned downtime
• Bridging Operational Technologies (OT) & Information Technologies (IT)
• Decrease Mean-Time-to-Repair (MTTR)
• Improve Troubleshooting process
• Proactive approach
• Improving efficiency
So with that being said, I’ve outlined this discussion to focus on unifying Industrial IoT environments from a performance management perspective in three phases:
1.) The operational technology or connected devices and sensors
2.) The wider IT environment that supports those connected devices and networks
3.) The actual business processes in the service of which all the technologies operate
I will then take a moment to put what you have learned in the context of GE Predix, before a brief recap and Q & A.
Thanks to all of you for attending today. I’m going to talk today about managing and maintaining peak performance for Industrial IoT environments, but to do that I want to step back from the connected devices and sensors we normally focus on and broaden our view to include everything else that allows us to capture and use the data from those devices to drive business: the network and compute infrastructure, the cloud platforms, the applications and databases, etc.
This is the crucial starting point for maintaining performance in any complex technology environment and it guides the philosophy of Centerity. Because only by viewing an IoT business environment holistically can you recognize every potential point of failure and see the true impact of one component on the performance of another.
Centerity makes the impact on your business service performance your starting point, whether it’s your wind farm, Oil Rig, or smart city street lighting, and from there you can dive into specific technologies and KPIs.
So with that being said, I’ve outlined this discussion to focus on unifying Industrial IoT environments from a performance management perspective in three phases:
1.) The operational technology or connected devices and sensors
2.) The wider IT environment that supports those connected devices and networks
3.) The actual business processes in the service of which all the technologies operate
I will then take a moment to put what you have learned in the context of GE Predix, before a brief recap and Q & A.
IoT environments are necessarily complex and that complexity presents operational challenges not just in deployment, but throughout the system’s lifecycle. So what are some of these challenges in connected industrial environments?
1.) The variety of communication protocols and data models used by these devices and sensors complicate connectivity and interoperability and make managing the ecosystem difficult.
2.) Often you might want to switch out devices for a different brand or change protocol methods, so even if you can tune the ecosystem for deployment, an enterprise system is dynamic, so your service use case and ecosystem definitions will be in constant flux.
3.) Finally, depending on the environment, you may have a mix of custom and generic Commercial Off-the-Shelf (COTS) devices, which each bring unique challenges. Whereas custom devices are fine-tuned to the environment but expensive, COTS devices are comparatively cheap, but are not designed for the ecosystem’s security, service models, or communication requirements.
So, let’s look point-by-point at how Centerity meets these challenges.
First of all, Centerity is deployed as a software-only platform comprising a single console for management and monitoring with agents sitting on edge devices or any hardware on the network to pull data from connected sensors, manage the devices, and translate data into various protocols and data models at runtime for device interoperability.
The platform supports nearly any device protocol, be it standard and low-level or non-standard and more complex. If there is ever a communication method that is not already supported in the system, our development team can build a plugin for integration in a matter of hours or days, at most.
And as environments change, Centerity is able to scale dynamically, discovering and adding new devices extremely quickly.
If COTS devices are added to the environment, you can use Centerity to quickly adjust those devices to the security requirements of the ecosystem without having to touch the firmware.
Lets look deeper at this translation process.
Centerity’s abstraction layer is able to overlay a single user-defined abstract data model across a service to manage disparate connected devices via the same model.
Using the Centerity API translator, you can bind your desired common abstract language to the device’s specific language, essentially hiding the lower-level device protocol from the service or business logic manager, and allowing for communication with other devices.
The distributed architecture of the system allows you to connect and make interoperable devices residing on different local networks in an event-driven fashion, as though they were sitting next to one another.
Expanding this virtual network requires simply running the Centerity Agent on a machine in the newly added local network. This can be deployed to connect directly to the device, behind a hardware hub, or via a service cloud.
As this diagram depicts, considering the solution end-to-end, Centerity allows you to automatically scan for discoverable devices on any network, translate their non-standard protocols into standard protocols like REST API, etc. to send data to the gateway and cloud, and apply a single abstract data model for a service across any devices in that service for interoperability and common management.
Thus, with the OT layer standardized, all supporting technologies at the Edge, in the service cloud, and on-prem can be incorporated into the environment to measure overall service availability on a single pane of glass.
With that, lets move on to the second phase of unification: Supporting IT infrastructure & applications
With that, lets move on to the second phase of unification: Supporting IT infrastructure & applications
Here you can see the environment end-to-end as a series of points of failure, all monitored through Centerity.
As I’ve just shown, the Centerity platform is able to monitor the performance data from the connected devices themselves, the connectivity to the edge and the cloud (WiFi, BLE, Zigbee, etc.), and then any IT devices, applications, or databases comprising or connected to the cloud, and ultimately present all that performance data in logical groups according to the industry or business process.
Enabling this functionality is the federated scalability and multi-tenancy of the architecture and the phenomenal extensibility of the platform’s collector engine and methodologies.
The enterprise architecture allows all distributed collector nodes and associated agents to report back to an enterprise node that manages the system. Regardless of where or how the collector nodes are deployed, the user still sees a single pane of glass according to their individual permissions.
The multi-tenancy allows for environments and services to be accessed and displayed according to user permissions, so users only see what is relevant to them.
In addition to the extensive OT device connectivity, Centerity has out-of-the-box integrations in place with all of the cutting-edge IT technologies you see here and many more. And you never have to worry about a new technology coming along that can’t be covered, because our flexible plug-ins allow us to build integrations to any technology with connectivity in a matter of hours or days.
Your business’s services are constantly changing and incorporating new innovative technologies, so the idea of Centerity is to be ready for those inevitable shifts to make sure you don’t ever have gaps in coverage.
To recap, Centerity allows you to scan, discover, and add to the system any devices or applications on the network.
You can then visualize that environment from end-to-end, correlate performance data from every technology layer, and integrate the platform with any associated service to feed data (e.g. service desk, CRM, etc.).
And finally, you can organize the environment and analyze its performance according to the actual services your business provides to its customers.
To that end, let’s now turn to the business services and how this all wraps up to give you a window into the business first and foremost, not simply siloed technology data.
What has traditionally stood in the way of service-centric performance monitoring was the inability to extend coverage to every technology that powers a given business service,
or the reliance on too many tools to derive data from those devices. Either way, the result was silos or gaps in data and no way to accurately perform cross-domain impact analysis in real-time.
Because the Centerity platform can extend to every technology in the Industrial IoT stack,
Now to put this in the context of Predix, you can see how every point in the framework is visible and unified as a business process within Centerity.