DownDetector also reports azure and oracle cloud, I can't see then also being dependant on GCP...
I guess down detector isn't a full source of truth though.
https://ocistatus.oraclecloud.com/#/ https://azure.status.microsoft/en-gb/status
Both green
DownDetector also reports azure and oracle cloud, I can't see then also being dependant on GCP...
I guess down detector isn't a full source of truth though.
https://ocistatus.oraclecloud.com/#/ https://azure.status.microsoft/en-gb/status
Both green
It's often things like "we got backpressure like we're supposed to, so we gave the end user an error because the processing queue had built up above threshold, but it was because waiting for the timeout from SaaS X slowed down the processing so much that the queue built up." (Have the scars from this more than once.)
My apps run on AWS, but we use third parties for logging, for auth support, billing, things like that. Some of those could well be on GCP though we didn't see any elevated error rates. Our system is resilient against those being down- after a couple of failed tries to connect it will dump what it was trying to send into a dump file for later re-sending. Most engineers will do that. But I've learned after many bad experiences that after a certain threshold of failures to connect to one of these outside system, my system should just skip calling out except for once every retryCycleTime, because all it will do is add two connectionTimeout's to every processing loop, building up messages in the processing queue, which eventually create backpressure up to the user. If you don't have that level of circuit breaker built, you can cause your own systems to give out higher error rates even if you are on an unaffected cloud.
So today a whole lot of systems that are not on GCP discovered the importance of the circuit breaker design pattern.