Hello Crypto, R U OK?

We revisit where we are with Crypto – more specifically where we are with distributed ledger technology or DLT. We give pertinent and real examples of places where the core technology behind Crypto is thriving and making a big difference, as well as has regained its value. We discuss the human impacts of that and what went wrong.

Transcript: otter.ai/u/1je6MzCQuv0U_9_MOa…?utm_source=copy_url

Microtransactions With DLT

Can we use DLT and cryptocurrencies for microtransactions? Today we break this down into component parts like what is a microtransaction? How does crypto help us? Does crypto help us?

In Cloud2030 discussions, we break things down. We explore how it helps, what it helps, what problems it does or doesn’t solve, and what problems does it create?

In this conversation we find some intriguing questions, and a few answers too towards the end. It’s a very enlightening conversation about microtransactions, DLT and crypto.

Image: www.pexels.com/photo/miniature-c…igurine-10215975/
Transcript: otter.ai/u/z-osMhCB8Qe0bf040WRzJAjuDCM

Distributed Ledger Drives Distributed Infrastructure

How is data center infrastructure adapted to edge distributed ledger technology workloads?

We think through if those demands (blockchain, proof-of-stake coins, etc) are changing the way we look at data center infrastructure, and the short answer is yes. We also explore the impacts of the type of workloads that we’re running and how we distribute them, rather than the type of equipment that we need to buy.

This conversation quickly becomes one about what we want to do with our infrastructure, not what the infrastructure is.

Transcript: otter.ai/u/KcT3ZF8ELbg5M3FrZmTSL7ycpX8
Image: www.pexels.com/photo/vehicle-on-the-road-3593923/

Rob’s Hot Take:

In the May 24th Cloud 2030 Podcast episode, Rob Hirschfeld explores how distributed ledger technologies like blockchains could impact application design and workload distribution across infrastructure. The discussion shifts from the impact on data centers to the potential for distributed applications that are more portable, capable of running in smaller data centers. While acknowledging missing pieces in building such applications, the conversation highlights the opportunity for more portable and cost-effective workloads. Join the comprehensive discussions at the2030cloud to delve deeper into this transformative intersection of distributed ledgers and infrastructures.

Data Center Users: Majors vs Miners

Majors versus minors are enterprise data centers versus blockchain, bitcoin and distributed ledger data centers. We dive into the differences in processing and environmental requirements for those two different use cases.

While the idea of blockchain and distributed ledgers generate very different computational profiles, what we’re building keeps coming back to the design of a data center is design of a data center. The exception is proof of work like Bitcoin. In those cases, it’s really just how many CPUs you can run.

For this episode, we focus on proof of stake data center infrastructure. This podcast is helpful to understand the difference between proof of work and proof of state. There’s clear consensus on the call that that proof of work is not environmentally sustainable. So proof of stake is much more interesting.

Transcript: otter.ai/u/uuPJSF_nWeDLF64lZlsGLOY8JWw
Image: www.pexels.com/photo/man-holding-shovel-3285094/

Rob’s Hot Take:

In the Cloud 2030 Podcast, Rob Hirschfeld explores the distinctions between majors and minors in data center design, specifically comparing traditional enterprise workloads with proof of stake (PoS) and proof of work (PoW) data centers used for distributed ledgers and blockchains. The discussion reveals that the transition to PoS aligns more closely with enterprise data center needs, emphasizing reliability, performance, and security. Contrarily, PoW environments prioritize cost efficiency but face environmental challenges. This assessment suggests that PoS is likely to drive a resurgence in traditional data center designs. For a more in-depth exploration, join the ongoing conversations at the2030.cloud.