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.
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.
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:
Second, the topic of moving from edge to core to cloud for workloads sometimes feels similar to the “Riddle of the Sphinx”1 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:
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.5
In effect, there are so many R’s (beyond the normal 6) to consider as I outlined in a newsletter issue from last year:7
a superfecta of R’s at the minimum seems more likely instead of assuming everything goes to the public cloud. Retain Relegate Renovate Resuscitate Retire Replatform Repurchase Refactor Rehost Repatriate Refinance Reinvest Rationalize Recombine (etc…)
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 cooling8, 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.9 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…
If you’re curious about Faction please check this links roundup of our latest media coverage from April 2022 to June 2022:
I am linking to my disclosure.