Tag Archives: IoT

Digital Twins + AI = WOW

How can the intersection of generative AI machine learning and artificial intelligence be applied to environments using digital twins? Today we discuss digital twins and artificial intelligence.

How can we improve the simulations, the systems, the interactions that we build? How can we correctly model complex components of everything from cars to pumps in ways that allow us to then build on top and build more intelligent systems.

We come up with some grounded examples.

Mentioned: projectarrow.ca/
Transcript: otter.ai/u/A79s08jpJ4-UPyT313…?utm_source=copy_url
Image:www.pexels.com/photo/two-bernese…on-floor-9040438/

Rob’s Hot Take:

In the Cloud 2030 podcast episode on digital twins and AI, Rob Hirschfeld discusses the potential of using digital twins in handling real-world disasters, citing the recent train derailment in Ohio as an example. The concept involves quickly creating a digital twin of a disaster space to enable robots to learn, adapt, and efficiently mitigate the situation. Hirschfeld emphasizes the unprecedented opportunities for improving environmental interactions, responding to crises, and highlights the sophistication of ideas discussed in the episode. He encourages listeners to explore the full conversation on digital twins and AI at the2030.cloud.

Chick-Fil-A Edge Kubernetes Deep Dive

https://soundcloud.com/user-410091210/chick-fil-a-edge-kubernetes-deep-dive

We break down the edge compute cluster by the Chick-fil-A team, and we talk about how they use Kubernetes, specifically K3s in 2500 of their restaurants to build an IoT and restaurant management system. This system uses Intel Knucks, a commodity commercial residential grade hardware.

It’s an update on a four year old Kubernetes story with a lot of buzz, and they show how they have been successful building this system.

If you’re interested in Kubernetes, Edge DevOps and distributed systems, this episode has a lot to enjoy.

Transcript: otter.ai/u/i0lBYq9PNQevn0AIvX…?utm_source=copy_url
Image: www.pexels.com/photo/person-in-b…of-cards-6255293/

Rob’s Hot Take:

In the Cloud 2030 podcast episode on Chick-fil-A’s Kubernetes control plane, Rob Hirschfeld highlights the challenges and benefits of transitioning cloud infrastructure and applications to edge locations using commodity gear. He emphasizes the success of Chick-fil-A’s approach in bringing cloud tools and platforms to non-cloud environments, showcasing the potential for mapping cloud processes back into edge computing. Hirschfeld encourages listeners to explore the detailed discussion on Chick-fil-A’s edge clusters and engage in broader conversations on Cloud 2030 at the2030.cloud.

Retail Edge Kubernetes ala Chick-Fil-A

https://soundcloud.com/user-410091210/pt2-chickfila-devops-ll-230124

We get an update for the first time in four years about Chick-fil-A edge Kubernetes clusters that gets to the heart of how building distributed infrastructure works and what the challenges are.

Article: medium.com/chick-fil-atech/ent…ompute-f5e2fd63d20f

We had a fantastic conversation about laying the foundations for this. We came away with two really important thoughts about what edge infrastructure looks like, how you pick it, can Kubernetes be used, what is IoT and integration, and the design considerations that go into building this environment.

Listen to this podcast as a preview for a longer article.

Transcript: otter.ai/u/k3Y7S3Hoa0rPZZ8_L5vTn4SNwGI
Image: www.pexels.com/photo/cows-on-fie…andscape-8899447/

Exploring Edge Applications

This episode explores applications for the edge. We really try to dig in on what will work in the edge from an application perspective. We also explore what’s holding us back.

Every time we have a conversation about Edge, we help undangle the components of Edge. In this discussion, we get more concise about what type of infrastructure is needed to build real edge applications. We also define where edge applications are expected to work and where they don’t.

Transcript: otter.ai/u/7uwv5Z3aupwE5ZGBXBEUqw9zkbE
Photo: www.pexels.com/photo/red-and-bla…ot-statue-185725/

Rob’s Hot Take:

Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, offers insights from the December 2nd Edge Applications discussion. The conversation focuses on the challenges of building integrated edge applications composed of various components like platforms, compute, networking, and sensors. Hirschfeld highlights the need for collaborative data planes, digital twins, and an ecosystem that allows applications to utilize existing resources, emphasizing that these challenges in the edge space have yet to be fully addressed. He encourages listeners to explore the comprehensive discussion at the2030.cloud.

Serverless At The Edge

Serverless at the edge, part one. This is a dynamic and engaged conversation with key questions like:

What is serverless?
Do we need serverless?
How is edge serverless different than cloud serverless?

We see edge environments as collecting data from sensors that needs to be heterogeneous, multi vendor, dynamic and centralized. But where centralized?

I think that the serverless aspect of this really drives home the idea that we need to be able to make small, quick, easy updates into an edge environment into a sensor environment. But how we accomplish that is still to be defined.

Transcript: otter.ai/u/XOOi-HhvbqC6NG16-7ns6j_hPLE
Image: www.pexels.com/photo/man-in-whit…ing-tray-3772524/

Rob’s Hot Take:

In the November 11th episode of the Cloud 2030 podcast, the discussion centered around the concept of serverless at the edge, a topic not widely understood. Distinct from traditional cloud-based serverless systems like Lambda, serverless at the edge involves diverse sensors and input sources, requiring different architectures. The conversation emphasized the critical role of serverless at the edge but highlighted the need for unique definitions and platforms, shaping the future of this technology.

Gideon Rottem from Deeyook on their Patented Positioning Technology

Joining us this week is Gideon Rottem, CEO and Founder of Deeyook.

About Deeyook
Deeyook seeks to redefine location technology through its patented, wireless-based firmware solution. The firmware can be installed in any WIFI/4G/5G radio access technology and it works by measuring angles of wireless transmissions, a first of its kind in the world of wireless tracking technology.

Sastry Malladi on Edgification and Real-World IoT Deployments

Joining us this week is Sastry Malladi, CTO, FogHorn.

About FogHorn

FogHorn is a leading developer of edge intelligence software for industrial and commercial IoT application solutions. FogHorn’s software platform brings the power of advanced analytics and machine learning to the on-premises edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as smart grid, smart city, smart building and connected vehicle applications. FogHorn and Lightning are trademarks of FogHorn Systems. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Highlights:

  • FogHorn Data Aggregation Technology for Devices
  • Edge is Constrained
  • Containers are Standard
  • IoT Standard Environment
  • Autonomy at the Edge
  • Edge Architecture Tradeoffs
  • Machine Learning

Time Stamp

  • 0 min 45 sec: Introduction of Guest
  • 2 min 47 sec: Purpose of FogHorn Software
    • Data aggregation from many devices
    • PLC – Industrial Controller
    • How is FogHorn added into a device? Containers
      • Can become a full gateway
    • 7 min 58 sec: Edge is a Constrained Environment
      • How make sure environment has latest code? Container Processes
      • FogHorn assumes Edge devices can run Containers
        • Only issue with handheld devices (e.g. Android)
      • 12 min 52 sec: What will be standard in an IoT environment?
        • Sensor Protocols
        • Real-Time Processing of the Data (AI, Deep Learning, etc)
          • “Edgification”
        • Publication Layer
        • GOAL – Autonomy at the Edge
      • 18 min 39 sec: Are Decisions Close to Edge? Architecture Decisions?
        • Process where the data is
        • Move to predictive analysis
        • Aggregation of Information from Multiple Devices
      • 26 min 07 sec: Is Machine Learning a Component?
        • Process of Edgification
      • 30 min 41 sec: Wrap-Up

 Podcast Guest: Sastry Malladi, CTO, FogHorn

As CTO of FogHorn, Sastry is responsible for and oversees all technology and product development. Sastry is a results-driven technology executive with deep technology and management experience of over two and half decades. His areas of expertise include developing, leading and architecting various highly scalable and distributed systems, in the areas of Big Data, SOA, Micro Services Architecture, Application Servers, Java/J2EE/Web Services middleware, and cloud Computing to name a few.

Prior to joining FogHorn as CTO, Sastry was Chief Architect of StubHub, an eBay company, where he led the technology architecture transformation and also spearheaded the Big Data initiatives and data driven decisions. Sastry was also a key technology executive at eBay leading the technology re-platforming effort from its monolithic architecture to the distributed, and scalable service-oriented architecture enabling business growth. Prior to joining eBay, Sastry was co-founder and CTO of OpenGridSolutions, founding member and architect at SpikeSource, and an architect at Oracle.

Sastry frequently speaks at many technology conferences, contributes to many standards and has several patents under his belt. He holds a master’s degree from I.I.T, Kharagpur, India.

Syed Zaaem Hosain on Edge, IoT, and Reality

Joining us this week is Syed Zaeem Hosain, CTO and Founder of Aeris from the KeyBanc Emerging Tech Summit.

Aeris is a technology partner with a proven history of helping companies unlock the value of IoT. For more than a decade, we’ve powered critical projects for some of the most demanding customers of IoT services. Aeris strives to fundamentally improve businesses by dramatically reducing costs, accelerating time-to-market, and enabling new revenue streams. Built from the ground up for IoT and globally tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler

Aaron Delp on Focus of Data, IoT, and Open Source

Joining us this week is Aaron Delp, Director of Technical Solutions, Cohesity. Aaron and Brian Gracely manage the well-known podcast, The Cloudcast, with over 340 podcasts.

Highlights
• Data returns to the data center in data transformation
• Best of breed world and impact of refresh cycles on hardware and software
• Data in the edge and hardware processors at the edge
• Latency issues for long haul data center(s) storage & Metadata about location
• Fragmented market coming for multi-vendor IoT processing?
• Is open source a good model for vendors? Issue on monetization of open source
o Crossing the Chasm by Geoffrey Moore
• Commercial drivers impact on open source sustainability
• Community vs Ecosystem