In a high performance service with good maintenance and upkeep, you page for all 500s. A noisy pager forces the team to fix the 500s.
Maybe the Github Actions infrastructure isn't run like that.
edit: my oncall rotation notified on all 500s, 24/7, not just rates - https://news.ycombinator.com/item?id=48279262
Do you know of a single service at a single company that actually does that?
I know all of Gmail, every GCE service I can think of, every AWS service I can think of, Amazon.com, Netflix, and Github all do not page on just a single 500.
I know none of those are particularly "high performance" though. Curious where your experience is coming from.
Re: "page for all 500s": there's a world of difference between "page me with a critical alert at 3am" and "notify me on Monday morning when my normal workday starts". At the extremes:
If my DB health check endpoint is returning 500s for N consecutive checks over M minutes, yeah, please wake me up at 3am!
If one user hit a weird edge case in form validation and got a one-off 500, please don't! We can fix that on Monday.
Not always easy to distinguish those clearly or configure those business hours rules, but for my team at https://heyoncall.com/ that is the goal -- otherwise your team burns out fast. Waking up someone at 3am has a real cost, so you better be sure it's worth it.
that is absolutely not the case for any system of size and scale. that would just burn out the on-call team and not result in improvements. Error rates/budgets are used instead.
> A noisy pager forces the team to fix the 500s.
I'm sure you're not in ops. Or in a dev org of a service with decent request rates.
What you're asking for is a service to fail silently. There's no way a service with a decent request rate to have 0 500s. Not when it still sees development.
A 50 year old bank API? Maybe...
You only do this when you’re trying to use incident management as a hammer to make a point to somebody whom you have otherwise failed to convince to fix something through persuasive argument. Ie, it’s punitive.
Yeah, no, nobody runs cloud services like that. At AWS most alarms required failures in 3 consecutive 5 minute periods. Critical things could be on 3 consecutive 1 minute windows - but that alarm starts a 15 minute escalation for the oncall engineer to check in, and they have to validate the issue isn't a false alarm before updating the status page would even be considered
forget it, Jake; it’s Azure
Im curious about this: because in my experience (working on smaller services though), a small number of errors is always there, as a "baseline".
Recently there was this: https://news.ycombinator.com/item?id=47252971 "10% of Firefox crashes are caused by bitflips"
Which makes me think a small amount of random issues which happen even though nothing is broken, is normal everywhere. Especially once move things around on a network, there's potential for a lot more random errors.