All – Page 20 – Cloud2030 Podcast

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/

Cloud2030 Serverless Cloud Digital Twins Models AI/ML Event Processing Distributed Systems Edge

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.

Can DevOps Be More Collaborative / MSFT & Activision

We have a lot of questions about improving collaboration in organizations:
How do we deal with change in organizations
How can we get organizations to work together better?
How do we encourage collaboration around the automation spaces that we’re trying to build in DevOps.

In our discussion, a lot came back to something as simple as version control!

We also discuss how we handle coupling between systems. In order to collaborate, we have to couple systems. But if we couple them, we create complexity.

This podcast includes our warm up conversation about Microsoft acquiring Activision because that is ALSO about how you integrate to organizations and business plans! This was news of the day and I think you’ll be very interested in our take on it.

Transcript: otter.ai/u/itNrmoL9MgG980D8CZdo9XWd-xI
Image: www.pexels.com/photo/a-woman-pla…ith-kids-7176471/

Using Blockchain for Edge Computing

We started talking about blockchain and the edge, but that is not where it ended up at all! Our fascinating journey started with web3, and surprisingly, it’s potential for distributed infrastructure and distributed web.

That led us to edge: managing and trusting devices on the edge through distributed ledger (DLT). That led us to the distributed ledger landscape. The journey is important because some of these technologies will be essential for establishing trust in systems.

In this conversation, we walk through the progression of these very important topics.

Building Green(er) Data Centers

What is a “green datacenter?” Can we make the IT infrastructure we use more environmentally sound?

Maybe, but… it’s a challenging problem because fundamentally running servers uses power.

We went into how data centers use power with an eye to making them more efficient. But that’s only part of the story. We discussed ways to incent people to give up resources, CPU cycles, and idle servers. Those are the items that really help with savings.

Ultimately, building a next generation infrastructure is more about the behaviors of the users as the efficiency of the equipment. In that case, what’s holding us back?

Transcript: otter.ai/u/RbDO1zLmb3JbEcmm6bsw6pihvQE
Photo: www.pexels.com/photo/three-brown…n-surface-799465/

Rob’s Hot Take:

Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, shares insights from the January 27th discussion on data center efficiency and greening. While addressing the challenge of using power more efficiently and exploring cleaner locations for data centers, Hirschfeld emphasizes that the primary obstacle is a human behavior problem. He advocates for immediate improvements in resource utilization, portability, and supply chain performance, asserting that the benefits are pervasive and can positively impact both businesses and the environment. Hirschfeld encourages listeners to check out the full episode at the2030.cloud for a comprehensive exploration of creating greener data centers.

Machine Learning in Operations

Today’s episode is about how to trust machine learning in operations. This is a really serious issue because the attraction of machine learning is strong, but does not translate into operations.

Why doesn’t it translate? Because operations is a closed loop process where we constantly get feedback and have to adapt and adjust. That makes it difficult to train models and hope that they work. This discussion gets into why that’s the case and what we can do about it.

Then we explore scenarios for machine learning and AI in operations.

Transcript: otter.ai/u/UBjf5IVnKvebTfQgW1xlneZdjOU
Photo: www.pexels.com/photo/high-angle-…of-robot-2599244/

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.

Is Edge HCI Necessary?

To explore HCI at the edge, we started with SUSE’s Harvester. It’s an HCI integration of Kubernetes, KubeVirt, and Longhorn (their storage system) plus some PXE booting magic they threw in there. From there we explored how Kubernetes can fit into Edge HCI.

That really morphed into Edge operations more generally. It’s not clear if hyperconverged infrastructure can or can’t fit. We covered items like AWS Outpost which is Amazon’s edge. We included items for the cloud to edge migration from an application development perspective.

There are a lot of fascinating ops and development topics throughout the conversation.

Transcript: otter.ai/u/Y2OH7SuJhPp4VRQSBAJk31-0_eI
Photo: www.pexels.com/photo/crop-person…ontainer-4498143/

Rob’s Hot Take:

Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, provides insights from the January 4th discussion on hyper-converged infrastructure (HCI) for the edge. The conversation explores the operational desire for clean and simple architectures with modular building blocks for easy implementation. However, it challenges the notion that platforms like Kubernetes can create a straightforward, self-building architectural solution for edge clusters, emphasizing the associated cost considerations. Hirschfeld suggests exploring the full episode at the2030.cloud for a comprehensive discussion on the complexities and potential solutions in the realm of hyper-converged infrastructure for the edge.

Resolving Software Dependency Chains

Dependency chains are complex and fragile when you’re depending on software, hardware cloud services that go away or change. In this conversation, we really examine the challenge of having dynamic vendor relationships and what we can do to fix and protect our environments.

It’s really hard to fix what can be vulnerable when it also changes your software supply chain at any moment! And that can impact any device in your infrastructure!! We work through that problem means in practical terms.

Transcript: otter.ai/u/mwpwVINGYfkQ5F5IERXgsM2oHsA
Photo: www.pexels.com/photo/focused-kid…d-puzzle-5063480/

Rob’s Hot Take:

Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, reflects on the January 11th DevOps lunch and learn focused on managing dependencies in technology. The discussion reveals a critical realization that the interconnected and short lifecycle of technology components results in a near certainty of repercussions when patching or updating one part of the infrastructure. Hirschfeld highlights the serious security and continuity risks associated with unmaintained projects, emphasizing the need for improved visibility and management of software dependency graphs. He encourages listeners to explore the comprehensive conversation at the2030.cloud for insights into addressing these challenges.

What’s Next for Cloud and Edge?

We reflected on 2021 and our four key panelists talked through what’s coming for 2022. Instead of making broad predictions, we focused on the needs of the market. We felt there were many immediate needs around cloud outages and security challenges.

Of course, we also discuss how the edge is coming up along with more physical integrations like for automotive, healthcare, and energy creation and storage. All are very big topics that are local presence related computing.

Transcript: otter.ai/u/7IEszyeZEDGENz3JSzw_-4hmyVc
Photo: www.pexels.com/photo/barefoot-bo…spyglass-7139730/Cloud2030 2022 Predict Log4j Outages Security Edge Automotive Healthcare

Rob’s Hot Take:

Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, shares insights from the 2021 End of Year session where predictions for the future were discussed. The focus was on transforming the market from monolithic, single-vendor clouds, including on-premises Edge locations, towards a more ad hoc and composable model that allows multiple vendors to integrate seamlessly. Hirschfeld emphasizes the importance of creating infrastructure pipelines to enable modularity and a multi-vendor experience while maintaining a single control experience for users and operators. He encourages listeners to explore the detailed discussion in the full podcast from December 30th at the2030.cloud.

A Pathway to Standardization

This episode was a fun and interesting ride from boring standards to locking APIs via NFTs!

We started talking about “civilization technology” where standards and regulations are applied to infrastructure. We are expecting this to happen in cloud (eventually) because it allows us to create ecosystems around the infrastructure. The historical patterns that we see in railroads, buildings and electricity will emerge in IT too.

Or maybe they won’t! We haven’t yet seen standards emerging in cloud or open source. And we had some really significant conversations around the interactions between these systems that would drive or resist standardization.

Transcript: otter.ai/u/-hhn6VEjtIQDl3UAHaCPUxCUaXo
Photo: www.pexels.com/photo/slatted-woo…en-trees-1423827/