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Big data on the cheapest MacBook

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Re: Big data on the cheapest MacBook

#161
post #49

Earlier quoted context omitted.

I just retired my m1 air to being a server this month. They’re very capable laptops. If the neo is even comparable in spec it’s excellent for the price

Yeah! My M1 air is now my iOS build server since GH actions bill macOS mins at 10x the price.

How do you use M1 Air as iOS build server. Is 8G sufficient for only doing iOS builds? Do you connect to it remotely?

Couls you please describe your dev process.

Re: Big data on the cheapest MacBook

#162
post #111
post #106

Earlier quoted context omitted.

My m1 air with 1TB ssd and 16GB of ram is a little champion, I use it during travel to play indie games like Hades II or Slay the Spire, and it works really well, better than my Steam Deck which broke. The only issue it really has is when I try to plug it into my docking station it struggles mightily with 2 2K screens and a 4K screen, so I just use my desktop in that case. I am jealous of my wife’s 13” M5 iPad Pro th…

> [...] and it works really well, better than my Steam Deck which broke. Well, the MacBook Air was also a lot more expensive than the Steam Deck?

The M1 also consumes more power.

Re: Big data on the cheapest MacBook

#163
post #3

Earlier quoted context omitted.

So my definition of big data was data so big it cannot be processed on a single machine in a reasonable amount of time. I guess they’re using a different definition?

“Your data isn’t big” is a good working definition of big data. Google has big data. You are not google.

I think the definition of big is smaller than that. Mine was "too big to fit on a maxed-out laptop", effectively >8TB. Our photo collection is bigger than that, it's not 'big data'.

Or one could define it as too big to fit on a single SSD/HDD, maybe >30TB. Still within the reach of a hobbyist, but too large to process in memory and needs special tools to work with. It doesn't have to be petabyte scale to need 'big data' tooling.

Re: Big data on the cheapest MacBook

#164
post #136
post #94

Earlier quoted context omitted.

No, you can't do real work on a $350 windows machine. No way such a setup is suitable for anything beyond browsing a tab or two and connecting to servers using SSH. And, the whole shittiness of the experience will even distract you attempting real work: the horrible touchpad, the bad screen, the forced windows updates when you trying to start the machine to do something urgent, ads in Windows, the lack of proper prog…

> No, you can't do real work on a $350 windows machine. Sigh. I mean, even absent the obvious answers[1], that's just wrong anyway. You're being a snob. Want to run WSL? Run WSL. Want to run vscode natively? Ditto. Put it on a cheap TV and run your graphical layout and 3D modelling work. I mean, obviously it does all that stuff. OBVIOUSLY , because that stuff is all cheap and easy. All the complaining you're doing is…

You mean that machine from 30 years ago that was running 30 year old software that has nothing in common with today’s development? And how well does Linux run on 4GB?

Re: Big data on the cheapest MacBook

#165

I’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.

It’s fine to if you don’t have any memory hogging apps. But as soon as you fire up a couple demanding Docker containers you’ll feel the pain. 8GB isn’t so much RAM for some applications.

Why do you think people buying the cheapest MacBook available will be running Docket? Do you commonly run Docker containers on the cheapest Windows laptop available? Why not?

Re: Big data on the cheapest MacBook

#166
> The cloud instances have network-attached disks

Props for identifying the issue immediately, but armed with that knowledge, why not redo the benchmark on a different instance type that has local storage? E.g. why not try a `c8id.2xlarge` or `c8id.4xlarge` (which bracket the `c6a.4xlarge`'s cost)?

Re: Big data on the cheapest MacBook

#167

I’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.

It would have been a better fit for me than the M4 Air, I literally use it only for typing and browsing, plus a could of Mac-only tools. Brilliant machine but complete overkill for me. It's almost tempting to switch just to get rid of the display notch.

Re: Big data on the cheapest MacBook

#168
post #62

I’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.

It's starting to show its age, but I've been using a 2019 MacBook Pro with the Intel chip and 16GB of memory. Still handles multiple terminal sessions with Claude Code and Codex simultaneously, building in Xcode, running Docker in the background, etc. (Maybe the fans sometimes sound like they're a jet engine taking off…) Finally just put an order in for a new 16" MBP M5 Max with 48GB memory only because it looks like…

Try running Teams on it though!

Re: Big data on the cheapest MacBook

#169
post #33

This is as much an indictment of AWS compute as it is anything else.

Yeah, this is really about how ludicrously overpriced big cloud is. I’ve got a first gen M1 Max and it destroys all but the largest cloud instances (that cost its entire current market value per month!), at least in compute. It’s a laptop! A decent bare metal server in a rack will destroy any laptop. It’s staggering. Jaw dropping. Bandwidth is even worse, like 10000X markup. Yet cloud is how we do things. There’s a g…

Honestly I think the best path is hybrid with the cloud as DR and sudden load scaling.

Re: Big data on the cheapest MacBook

#170
post #127

Earlier quoted context omitted.

I never met someone using Apple laptops professionally who thought it was a status symbol. I only keep hearing this from non-Apple users.

Its because its frowned upon to say it out loud. Think of the people who buy fancy cars and pretend they bought it for other reasons than status.

I did buy my car for reasons other than status. That’s just a bonus.
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