Get It All While You Can
Get It All While You Can
This week we look at continuous commensurate repatriation from edge to core to cloud.
This week I wanted to thank readers for all the feedback and sharing. Being able to maintain my publishing streak for over a year has been incredibly rewarding.
Special note: Thanks @VirtSecurity Jonathan Copeland for review of early drafts
Getting Informed
Several readers have asked to revisit topics from prior newsletter issues from a year ago. One such topic is the reality of repatriation from edge to core to cloud and I’ve decided to industrialize this concept as continuous commensurate repatriation.
Let’s get into it.
Sometimes it just feels so right 🎶
First, it’s worth looking back at the notion of edge to core to cloud that is blurring which I covered this time last year. To recap:
“the very notion of needing to move data from edge to core to cloud“
”distributed edge data centers [..] happen slowly then [..] appear all at once”
“companies that [..] operate outside of purely terrestrial modality“
data centers < information centers < knowledge centers < wisdom centers
And other times so wrong 🎶
Second, the topic of moving from edge to core to cloud for workloads sometimes feels similar to the “Riddle of the Sphinx”
but with security and finance concerns being the limiters to finding an answer. Indeed, sometimes the “xOps solves this” meme answers invite the Sphinx to feast upon pundit travelers.So, again, let’s look back at a few recent issues for guidance from March 2022:
Also, consider recent posts from Grey Meyer
, Ed Sim, and Tom Tunguz:The change goes on and on and on and on 🎶
Third, if there is a multiverse for multicloud, then perhaps there is an applicable Spider-Man: No Way Home (2021) meme. But, it’s important we be careful about click driven punditry and tech journalism that seeks to make everything into an overly simplistic zero-sum game.
So, (spoiler alert?) perhaps we’re all on a path akin to residual self-confirming equilibrium that academics like Yakov Babichenko or Aviad Rubinstein may generalize one day
.
In effect, there are so many R’s (beyond the normal 6) to consider as I outlined in a newsletter issue from last year:
When what we think of as data centers are becoming micro data centers as invisible or nondescript base pedestals in neighborhoods, unmarked rooms in unmarked floors in unremarkable buildings, and floating overhead a la Starlink / Kuiper /etc. – it's gonna get funky. So, it’s reasonable to expect four more R’s might be Relative, Reallocate, Readied, Realistic.
To gather just a few examples that many readers might recognize, the VxRail, Nutanix, and Scale Computing approaches all proved the need for discreet clusters for smaller and smaller things in data centers. Now, as ARM, discrete in situ cooling
, and increasingly commensurate placement of workloads takes hold (again?) it's gonna be fascinating.
So, on a long enough timeline, if there are k8s/k3s clusters running in your local Chick-fil-A then it's incredibly likely that evolved approaches are going to eventually filter out to other firms and plate / power / ping modalities.
Further, the economics of deterministic power, weight, cooling, and geometry in data center footprint are only going to become ever finer grained year over year.Place your bets…
Experimental: Polls
Work Plug
As a reminder, I work at Faction. Faction provides clientele with cloud data services across hyperscale providers to maximize innovative multicloud outcomes.🤓☁️📊🚀
If you’re curious about Faction please check this links roundup of our latest media coverage from April 2022 to June 2022:
Dataversity: Five Ways Multi-Cloud is Accelerating Medical Science
The Enterpriser's Project: Moving Cloud Workloads - 4 Essential Strategies
Disclosure
I am linking to my disclosure.
Read: Riddle of the Sphinx
Read: Blog by Tomasz Tunguz
Read: Tech Journalism