Why not test the algorithm locally, realize the problems and fix them? Why test on 1000 instances, not 1 or 2?
I get the "move fast, fail fast" attitude and why it is deemed beneficial by some, but this was essentially "goto fail".
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Why not test the algorithm locally, realize the problems and fix them? Why test on 1000 instances, not 1 or 2?
I get the "move fast, fail fast" attitude and why it is deemed beneficial by some, but this was essentially "goto fail".
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> Google let go of our bill as a one time gesture! We've seen this happen with similar stories on AWS. Neither platform supports prepayment with a hard limit on costs, and this seems unlikely to change.
I can sympathise with some of these stories, like the ones where an overnight DDOS attack racks up a huge unexpected bill, but this one in particular is just a story of gross incompetence and negligence. The guy hacked together some code in a few days and deployed it to a service with unlimited billing without any kind of sanity checks and without even understanding what he was paying for. He’s an ex-Googler, it’s no…
Part 2: https://blog.tomilkieway.com/72k-2/
> Google let go of our bill as a one time gesture! We've seen this happen with similar stories on AWS. Neither platform supports prepayment with a hard limit on costs, and this seems unlikely to change.
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> Storage is a passive resource, when you exceed your budget it can be automatically....deleted? That's almost always the wrong action. A better option would be to automatically reduce the budget by the amount it would cost to keep the storage forever. If doing that would reduce the budget to zero, do not allow increasing the amount of storage. That is: assume the storage will not be deleted, and budget according to…
How does this actually work? It clearly can't be forever, since any non-zero dollar amount * infinity months is infinity dollars, which is going to reduce the budget below zero since any non-infinite number minus infinity is less than zero... thus locking it immediately. Even if we say "you get N months of storage before we delete it" and subtract N * current storage cost/month, what happens after you're locked out o…
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I do not think the intentions here are to be opportunistic and predatory but inability to empathize with small developers. A large customer will very likely just pay off few hundred thousand dollars extra expenses. It is only individual developers who are at risk here and cloud operators do not have much interest in them.
I don't know about that. Large customers can almost always find the capital to run their own infrastructure and save on cost. That's not to say that there aren't big customers of these types of services or that certain business models make using them more attractive than maintaining infrastructure yourself, but I would guess that revenue from these sorts of services are largely built on appealing to smaller customers…
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I don't know about that. Large customers can almost always find the capital to run their own infrastructure and save on cost. That's not to say that there aren't big customers of these types of services or that certain business models make using them more attractive than maintaining infrastructure yourself, but I would guess that revenue from these sorts of services are largely built on appealing to smaller customers…
When I was a young and naive student I thought I could not charge my debit card under 0$. Got down to -3$ and had to pay a 40$ something fee when I already was out of money.
As an ex-Googler working in a customer facing role in Cloud you did very well to get a $72k bill written off! It's definitely possible but requires a lot of approvals and pulling in a few favours. I went through the process to write off a ~$50k bill for one of my customers and it required action every day for 3 months of my life. Whoever helped you inside Google will have gone to a LOT of trouble, opened a bunch of t…
If I were in this situation I would probably offer 10% of the bill to the employee as a reward for their help.
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The downside of disabling active resources is huge. It would mean a catastrophic interruption to the customers application exactly when its the most popular/active. And theres no practical way to determine whether the customer is “trying it out” or running a key part of their business on any particular resource. On the other hand retroactively forgiving the cost of unexpected/unintentional usage doesnt impact the cus…
> And theres no practical way to determine whether the customer is “trying it out” or running a key part of their business on any particular resource. What? Why wouldn't this just be an opt in thing? It could even be tied to the account being used. It's not like AWS accounts are expensive or hard to setup. If a user opts in to the "kill if bill goes too high" and they kill a critical portion of their business, then t…
"Oh cool, I'll set a $1k cap, never gonna spend that on this little side proj." Fast forward a year, the side proj has turned in to a critical piece of the business but the person who set it up has left and no one remembered to turn of the spending cap. Busy christmas shopping period comes along, AWS shuts down the whole account because they go over the spending cap, 6hr outage during peak hours, $20k sales down the pan.
Of course it is technically the customers fault but it's a shit experience. Accidentally spending $72k is also technically the customers fault and also a shit experience. I don't think there is an easy solution to this problem.
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> And theres no practical way to determine whether the customer is “trying it out” or running a key part of their business on any particular resource. What? Why wouldn't this just be an opt in thing? It could even be tied to the account being used. It's not like AWS accounts are expensive or hard to setup. If a user opts in to the "kill if bill goes too high" and they kill a critical portion of their business, then t…
> What? Why wouldn't this just be an opt in thing? "Oh cool, I'll set a $1k cap, never gonna spend that on this little side proj." Fast forward a year, the side proj has turned in to a critical piece of the business but the person who set it up has left and no one remembered to turn of the spending cap. Busy christmas shopping period comes along, AWS shuts down the whole account because they go over the spending cap,…
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"The downside of disabling active resources is huge. It would mean a catastrophic interruption to the customers application exactly when its the most popular/active." Lol what ... this is exactly what happens any time you hit a rate limit on any AWS service. The customers application is "catastrophically interrupted" during its most popular/active period. The only difference is in that case, it suits AWS to do that w…
If you hit a rate limit, the marginal portion of requests exceeding that limit is dropped: if you plot the requests, the graph gets clipped. Bad, but not catastrophic. If you hit a billing limit, everything beyond that point is dropped, and the graph of requests plunges to zero . You're effectively hard down in prod.