Earlier quoted context omitted.
You overestimate how much people give shits at big techs like Amazon. When literally everything is driven with sticks instead of carrots, the work culture does not invite employees to proactively care about product quality. You'd be better off letting the heart attacks happen and take the 3am on-call and be the hero instead. It would be good promo doc material, and being a hero is extremely good insurance against get…
> take the 3am on-call and be the hero instead Ah yes, the good old ITism "Everything's good, what are we even paying you for?" followed by "Everything's on fire, what are we even paying you for?" I moved out of it largely for that reason, am now an infrastructure/IT project manager, quite refreshing actually.
AWS: Inaccurate Estimated Billing Data – $1.7 billion
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Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#612Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#613Nothing like generational debt to kick off a Friday morning
There have been some big billing errors in the past but I wouldn't be surprised this is a new record. I know I've seen people charged around 92 quadrillion, which is a rounding error from underflowing a signed 64-bit integer with pennies, but those stories are usually isolated individuals. It sounds like the aggregate error here may comfortably exceed that. Hard to tell how widespread this is; as a data point my ~$2.00/month spend on S3 seems to still be billing correctly, so it must not be affecting everyone. But a few trillion here and a few trillion there and you get up to those quadrillions pretty quick.
Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#614Tale as old as time. When I was coming up it took a $20-40/m investment to get a "dedicated" server that you could start tinkering around on. When you couldn't afford that, you bricked the family PC trying to figure out how to configure your own LAMP stack. Nowadays you just have to risk accidentally billing your parents CC the tune of multi-generation wealth to get that real-world experience.
I mean I own a 7$/yr vps that I pay with crypto and my stack usually involves golang/rust and oh I also self host my mail for temp-mail esque things on that server and I have some other servers floating around as well.
Its just that everyone uses AWS which is the wrong issue here to be honest. If you ask me, aside from the ram pricing caused by AI inflation, things are pretty good. The issue is that not many people know about server providers and other things and default to AWS/Azure etc. because big companies and small companies alike are using them.
Here's a global (interactive) visualization of around ~250 providers, 224 locations and 800 distinct links in 60 countries that I have made if this space interests ya: https://buyvds.net
Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#615Ive dealt with this error at AWS. It’s a unit error. In my case we _meant_ to charge like 5¢/GB, but missed the unit (GB), and then the billing system defaults to bytes. 5¢ per Byte of data transferred meant some customers were seeing MM bills within hours. Got paged by support around 2am, had it fixed and amendments issues by 3-4am, apology emails shortly after. Services emit metering values that arent directly tied…
Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#616Earlier quoted context omitted.
Why would you think there are "no tests"?
We have a pretty strong existence proof... the thing happened in production. Unless they have some means to override a failing test and scp broken shit to prod, there wasn't a test.
insufficient tests that dont assert on the right things?
the existence of a test doesnt mean it catches the right thing
based on the description, id bet the COE action item will be to do a migration that enforces units are passed at the billing service level
theres no good reason for the billing service to make up its own units.
Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#617Ive dealt with this error at AWS. It’s a unit error. In my case we _meant_ to charge like 5¢/GB, but missed the unit (GB), and then the billing system defaults to bytes. 5¢ per Byte of data transferred meant some customers were seeing MM bills within hours. Got paged by support around 2am, had it fixed and amendments issues by 3-4am, apology emails shortly after. Services emit metering values that arent directly tied…
This isn't a flippant comment. Imagine though, being presented with this. Imagine having some underlying health problem (e.g. cardiovascular). Do not be surprised if real people actually die from this mistake, from the anxiety, the surprise, the helplessness.
a smaller error by say, just one or two orders of magnitude are much more believable as a reader
Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#618Earlier quoted context omitted.
> take the 3am on-call and be the hero instead Ah yes, the good old ITism "Everything's good, what are we even paying you for?" followed by "Everything's on fire, what are we even paying you for?" I moved out of it largely for that reason, am now an infrastructure/IT project manager, quite refreshing actually.
How did you swing that transition? Did you study for PMP before applying around, leverage network to get in the door then backfill skills, or what?
Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
#619It doesn't anymore, if it ever did. Read the shareholder letters over the last 5 years like this one (https://www.aboutamazon.com/news/company-news/amazon-ceo-and...). Move fast. Embrace AI in every corner of the company. Lay off thousands of people like we're a lean startup. Oh, but make sure to have a senior engineer check any AI code you want to push to production (https://news.ycombinator.com/item?id=47323017).
Amazon has made some impressive software, but there's also a ton of junk getting shipped. Customers and "partners" have to deal with it every single day. Sometimes it's "oops"-level stuff like this, at other times it's AWS regions going dark for hours.
Browse the Amazon seller forums (https://sellercentral.amazon.com/seller-forums/discussions?s...). Every day there are stories about back-end things breaking, or AIs overriding attributes or flagging random items as pesticides. The receiving errors at Amazon warehouses are incredible, and take months and multiple support tickets to fix.