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When you own a 17 net or 12 net, I think it comes as a given on extra txt records not needed. Totally not fair, but reality, and someone’s allowing it on the filtering side.


I did not know this, I have family in Tempe close by. Do you have any references I can pass along to them?


I believe the new term for Phoenix, AZ and other major cities in AZ is "Silicon Desert". You can see a map of the many companies in the high tech space in AZ at the following site.

https://siliconmaps.com/silicon-desert/


Major semiconductor manufacturing in Arizona is not exactly new: Motorola had fabs there in the 70s (or earlier?), Intel's presence dates to 1980, etc. The article [1] below from 2001 says that Arizona was "3rd in chipmaking"...

[1] https://go.gale.com/ps/i.do?id=GALE%7CA79561583&sid=googleSc...


Being an AZ resident, this map is hilarious as it skips out the ~100 mile distance between Chandler and Tucson.

Tucson is more well known for optics, but more focused on space science than on use in silicon fabs.


Here is an article from Phoenix Business Journal:

https://archive.ph/dYCAF

> With Taiwanese transplants moving to north Phoenix in droves, Arizona officials — and a local baker — are working behind the scenes to make them feel welcome


Correct, it is underlying assets value and correctness. This fuzzy logic has always confused me


the functioning of the market is dependent on everyone having faith that what is in the market is actually correct information. that's the entire reason the SEC was founded in the '30s, to restore confidence after 1929; if the market is believed to contain widespread fraud, then no one will invest and the market will essentially stop working.

as a counter example, the Chinese markets are rife with accounting frauds, scams and scandals; and the market doesn't really track with the Chinese economy as a result because no one believes it is accurate


I worked on this. We called it the parking lot bug. WiFi still shows signal but no proper connection. With MPTCP, it will failover to cell.


You can even learn to predict these handovers to make it really smooth [0].

[0] https://arxiv.org/pdf/1907.10493.pdf


California Universities just had the most applications in history. UCLA 145k applicants, UCSD 130k applicants. Respectively they are both down now to about a 3% and 5% acceptance rate due to the spike. Might be Covid holdovers due to a gap year, or with the economy as it is, out of state applications have dropped.


Four-year universities haven't seen much of an enrollment decline, especially not more prestigious ones like the UC system. Here is some data breaking down enrollment numbers 2017-2022 by type of institution and type of degree sought: https://nscresearchcenter.org/current-term-enrollment-estima...

Percentage changes in undergraduate enrollment over that 5-year period were:

    Seeking a bachelor's (4-yr) degree:    -6%
    Seeking an associate's (2-yr) degree: -21%
    Other undergraduate students:          -8%


If students are more likely to apply to multiple schools than before (I believe that to be the case as competition has increased. I also have multiple cousins currently applying to UCs, anecdotal) than the total number of applications would appear to increase while total unique applicants may be steady or reduced.


That is a great point. And the UC system does have a central database. It would be nice to see total uniques per school out of transparency, as you can apply to all the UC’s much easier.

This does have an adverse effect, as relatives of mine got multiple offers and others rejected or waitlisted. Not sure what the best path is, as the top 5% probably got accepted to all, at least what I am seeing from my network. Then others are left to wait for the top 5% to choose; sometimes a month. By then, most non top 5% have to make a decision elsewhere. I am sure the UC System has it all worked out, just seems it could be done better.


I had a couple questions, as this feature is awesome!

How long does it take to get the response vs external bots pulling the data? What mechanisms does GitHub have in place to stop bots who monitor repo changes? I ask, as I have been there and it is super scary how fast someone/bot pulls repo data changes, as in minutes, and the repo we had back then was not popular.


As long as search results can be sorted by date, anyone can see updates pretty much instantly if they monitor the search results. The repos don't have to be popular for that. Bots can just check such a feed every few seconds for example.

https://github.com/search?o=desc&q=secret&s=updated&type=Rep...


One of my fav companies! Dor is an amazing person, highly recommend working with them. We started to move to ScyllaDB at my last engineering job. Doing 100TB’s a day in IoT Data.


My last job was far less data than yours (more like 100's of GB/day), and it wasn't surprising it handled it with ease. I love that DB so much. So performant, and far easier to admin than Cassandra.


What is that amount of data used for?

Is it along the lines of “we want to collect all the data we can in case we want to use or analyze it at some point”, or are there real use cases?


For IIoT, there's digital twins, machine health, sensor data aggregation, and a lot more. While a lot of it can be classified as "write once, read hardly ever," it is vital for triggers, alarms, real-time failure and security alerts, and, eventually being forwarded over to analytics systems for longer-term trends.


That might be SAAS. The other side of the coin is not the same. You do a multi year multi million dollar deal with a fortune 100, don’t expect 0 lawyers, 0 CPA’s.


You hire a lawyer for that specific work. At $14M ARR, you can afford to hire one when needed. They don't have to be a full-time employee. Same goes for accounting or any other operational staffing. Part-time or project-based contracting works great for such things.


Right, it would be insane to have a full time lawyer (or HR or Monitoring or DevOps) at that size.

At $600 an hour you can likely do all your legal work in 0-10 hours a year.


I love projects like this! Great idea and motivation.

I wanted to give a heads up that when I search for “Python for data analytics”, I get this awesome book “The Storm of Bringer by Isabel Cooper”. I know you are still working on the site, so it was a good giggle, put a smile on my face. You gotta see it for yourself, contextual a warrior repping python.


ahaha it seems to be linking through to a booksite where the title of the book is "python 3 and data analytics" but the book image is The Storm of Bringer. Brilliant spot.


Worked there, managed a lot of the teams. An agent is considered a node. So you could have X nodes per server if that clears items up. Even agent per X jbod. The teams are very smart on blast radius and sharding. When I left I had exabytes of data under my mgmt and happy to chat if anyone wants to DM. Folks often forget how many users and services Apple has.


I'd absolutely love to chat and get a deeper understanding of that! Didn't see a way to contact you in your profile — what platform would you prefer to be DM'd on?


+1 would love to hear more from GP.


+1


Added, thought I had in about.


What’s the orchestration setup like for clusters of that size?


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