Tag Archives: Serverless

Serverless vs Digital Twins

We discussed the intersection of serverless and digital twinning. These two concepts are really tightly intermingled!

We discarded the idea of a central single serverless hub managing everything; instead, we think sites would actually have a mesh of serverless, interconnected event processing and stream processing systems. This approach is much more function dependent, but really opens up a lot of interesting discussions and possibilities.

We also discussed how to manage all of this meshed, serverless subscription modeling eventing, and digital twinning.

Transcript: otter.ai/u/FWW3CwG6gMX0N06QXp9C-pZd-s8
Image: www.pexels.com/photo/two-young-g…-sweater-9532902/

Cloud2030ServerlessCloudDigital TwinsModelsAI/MLEvent ProcessingDistributed SystemsEdge

Rob’s Hot Take:

Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 roundtable discussions, shares insights from the January 13th discussion on serverless and digital twinning. He emphasizes the significant overlap between modeling data through digital twinning and building serverless systems that subscribe to events for action, transformation, and control. Hirschfeld underscores the need for a joint discussion on these topics, highlighting that a sustainable serverless system requires a reliable model, and a useful digital twin system must connect inputs and outputs to the real world. Interested listeners are invited to explore the full episode at the2030.cloud for a comprehensive discussion on these critical industry aspects.

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.

Daniel Lizio-Katzen on Serverless in the Enterprise

Joining us this week is Daniel Lizio-Katzen, CEO Galactic Fog.

About  

Galactic Fog was founded in 2014 by veteran engineers with the goal of streamlining application development. As engineers, we have spent years designing, building and deploying applications for both startups and large enterprises. At Galactic Fog, one of our goals is to provide a platform for us to contribute back to the developer community by open-sourcing many of our foundational components.

Galactic Fog’s core mission is to provide the systems that enable the design, development and cross-cloud operation of cloud-native apps through the use of enterprise grade function-as-a-service (FaaS) and container-as-a-service (CaaS) technologies. These apps should be resilient and declaratively integrated into any complex environment or configuration.

Highlights:

  • Function as a Service and Events
  • Operational Experience
  • Next Generation API Gateways
  • DevOps and Enterprises
  • Kubernetes as an Enterprise Platform
  • Edge is part of Galactic Fog

Time-Line

  • 0 min 36 sec: Introduction of Guest
  • 0 min 51 sec: Background on Daniel and Galactic Fog
  • 3 min 22 sec: How heterogeneous is the event driven space?
    • Event data mapping is not standard
  • 6 min 0 sec: What are the correct patterns for event systems?
    • FaaS Engine must be Tunable
  • 8 min 15 sec: Operational Experience in FaaS
    • Integration into someone’s environment
    • Focused on enterprise developers – platforms must be tunable for variety of solutions using serverless
  • 14 min 52 sec: Next Generation of API Gateways
    • Future is Istio
    • Enterprise does not want DevOps but rather Managed Kubernetes
  • 17 min 15 sec: DevOps, Developers, and CI/CD Pipelines
    • How do you help sustain an app with thousands of moving parts?
    • Microservices architecture is difficult
  • 27 min 51 sec: Is Kubernetes Ready for Enterprise as a Platform?
    • Still in early stages
    • Opens software company options for platforms
  • 32 min 24 sec: Edge Computing and Galactic Fog?
  • 34 min 23 sec: Wrap-Up

Erica Windisch on Observability of Serverless, Edge Computing, and Abstraction Boundaries

Joining us this week is Erica Windisch, Founder/CTO at IOpipe, a high fidelity metrics and monitoring service which allows you to see inside AWS Lambda functions for better insights into the daily operations and development of severless applications.

Highlights
• Intro of AWS Lambda and IOpipe
• Discussion of Observability and Opaqueness of Serverless
• Edge Computing Definition and Vision
• End of Operating Systems and Abstraction Boundaries

Krishnan Subramanian on Edge, the Kubernetes Ecosystem & the Composable Enterprise

In this week’s L8ist Sh9y podcast Krishnan Subramanian, Founder and Chief Research Advisor of Rishidot Research talks about Edge Computing, the Kubernetes Ecosystem and the Composable Enterprise. Key highlights:
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• “Multi-Cloud is the foundation of Modern Enterprise” – Krishnan
• Kubernetes ecosystem and the possibility that Serverless could replace it
• IT innovation requires a composalbe and layered approach, without this approach IT will find themselves trapped in a hard-wired infrastructure unable to move forward