And one of the reasons I prefer either running web things on my own server(s) as much as possible. And can't you set a charge limit on Firebase?
With cloud you really have to optimize your code/architecture as you pay for what you use.
With your own servers that is not an issue unless you overload them, then you can have an outage.
EDIT: I thought Firebase is amazon for some reason, it is not. So in general Google panel doesn't have that functionality (from my experience with it), they have billing alerts but I never saw anything that would shut off things on reaching that alert.
You can limit by API requests usually but not by credit amount so if you use multitude of API's it can get tricky and they likely didn't limit anything.
TL;DR: minimum 1 year deprecation policy, and you've got access to the data at any time (e.g. do a backup and get everything as JSON, or download an entire store bucket and transfer it to S3).
Also that's one of the reasons I try to use the realtime database, and not firestore. But they still charge for bandwidth there (most if it is consumed by downloading the SSL certificates from the clients).
See "Dog bites man" vs. "Man bites dog"
> The app was running, all the supporters were able to support and the comments on social networks were that the app made it really simple to do support. We were very proud :)
> We didn’t want to release any new feature with that many users on the site, so we decided to merge a version with Angular V.6 […]. The site started to load slower, for some users it took them more than 30 seconds to load the page. That was weird. Our team was not comfortable with that and we couldn’t understand what was causing it and now we had our code with a completly new version of Angular, and probably many other bugs in production.
Am I reading this right: Their site was running well. They didn’t want to interrupt it by adding new features (potential bugs) so they casually update the framework and push the new version of their website to production hastily? And instead of rolling back the release they double down and optimize their code without knowing the source of the slowdown. Like WTF? Apparently they hadn’t even opened the browser’s network console to check if/what requests cause the slowdown. How did these people get $25K grant money?
Looks like incompetence really, using a framework and unable to pinpoint the bottleneck and deciding that maybe upgrading version will somehow fix their bad code. Not a completely pointless idea as framework might indeed have been changed enough to force them into using itself correctly, but still lot of questions.
Really should've just linked to that hackernoon post though IMO, contains a lot more details thats very helpful in understanding what actually happened.