So you get an email saying your $10/mo site is now $1000 for this month, and climbing.
In general I wouldn't recommend using AWS and expecting the free tier for anything that's going to be public facing or autoscaling.
It's not a solution at all given the fact the alerting process can lag behind the logging process by several hours or more. If you've hit a traffic spike it could have rolled over your site and gone in that time, leaving you with a bug bill.
Alerts are not a viable solution to traffic spikes unless they're real-time and absolutely bulletproof. AWS's alerting is neither.
https://aws.amazon.com/blogs/aws-cloud-financial-management/...
Should _every_ S3 action have a `if will_incur_charges() and should_not_incur_charges(): raise Exception()` statement in it's critical path? No, of course not. Everyone get's slower for nobodies benefit. It has to be delayed.
But then you run into an issue: what if you end up costing AWS 100$ before the budget action kicks in. Should you not pay that? Why not?
My strong guess is if you had a free account, setup a budget cap, went over it, and they decided to charge you*, a quick email to support would get it waived.
I’m very much a fan of AWS, in part because while they have the chance to uphold the legal terms, my experience is that they’re pretty customer friendly.
* Early on, I had many bills under $1/mo that they just comped without me having to do anything.
We're talking about one account-wide flag `has_exceeded_billing_limits`. Changes are infrequent, and can be pushed into caches. Small overruns while the flag pushes are trivially eaten by AWS.
The amazon deal is simple. Very clear pricing for pay what you use.
Cloudflare - can you link to the page where they show the cost of bandwidth? Still waiting.
Budget actions work by applying an Deny All to IAM, which has essentially exactly that.
The problem is not the shutting down, it's the detection. AWS billing has a resolution measured in hours, which has limited usefulness on a platform where you can rack up thousands of dollars in charges in just a few minutes.
For the billing system to then "turn off" X it needs a number of things.
1. It needs the ability to reach back out to that service. It probably has no idea what it is, all the billing system is likely to receive is something like:
{service_name: "X", action: "Put"}
ie: Pretty opaque data with just enough structure to know "This costs X cents and happened Y times".So now your billing system needs to be able to resolve "X" back to some AWS resource that it can talk to. Both the resolution of X as well as the "billing can now talk to every single AWS service" are pretty heavy lifts.
2. It needs to know what "off" is. "Off" for S3 could mean a lot of things.
a) Delete the bucket and all data inside of it
b) Keep the bucket but delete all data inside of it
c) Keep the bucket and the data but disable API access
etc etc. Do you disable PUT? GET? Both? What if what's blowing up your billing is GET?
And this really doesn't get easier for other systems. Do you back up a database before killing it? That incurs charges too.
I don't see AWS somehow solving this in a "one size fits all" way because there isn't one.
It's not an engineering problem at all at its heart.
It's a marketing/business problem that someone somewhere is thinking that Amazon can provide a free service to X users, knowing that Y (X, Y positive, Y << X) users will go over their "free tier" usage and pay for all X's costs, maybe even more, making the free tier a profitable business on its own.
My point is that it is definitely an engineering problem as well as a product problem.
a) It's going to be super technically difficult to build (especially in a way where it's responsive at a granular basis to handle huge blow-up bursts)
b) It's not even clear what you're supposed to be building
None of what people are proposing is well defined or easy to build.
The way you usually solve this is by having sane defaults, and giving users different mechanisms for configuration based on how complex their configuration needs are. This can take a tiered approach.
As an example, simpler and straight forward things (such as disable egress traffic from S3 if the bill exceeds X) can be in the UI itself. Then, for customers who need more control, an option to configure via json or yaml similar to cloud formation. For anyone who needs even more giving an option to call a customer defined lambda function would give them the ability to at any metrics and take appropriate action.
Engineering problems:
1. How do you actually have a billing system reach out to every other system? It has to resolve the resource, network with it, have IAM permissions, a network route, etc.
2. How do you handle consistency?
3. How do you make it responsive?
4. How do you add this to every billable entity?
I mean, it's just a shitload of work, and all of that just to get to a terrible idea.
> The way you usually solve this is by having sane defaults, and giving users different mechanisms for configuration based on how complex their configuration needs are. This can take a tiered approach.
The sane default is you pay for what you use, and you can listen to billing events and build all of the logic you're talking about if you want to.