> With logs you can get an idea of what events happened in what order
Again, if you're at that point, you need logs. But thats never going to be your primary source of information. if you have more than a few services running at many transactions a second, you can't scale that kind of understanding using logs.
This is my point, if you have >100 services, each with many tens or hundreds of processes, your primary (well it shouldn't be, you need pre SLA fuckup alerts)alert to something going wrong is something breeching an SLA. That's almost certainly a metric. Using logs to derive that metric means you have a latency of 60-1500 seconds
Getting your apps to emit metrics directly means that you are able to make things much more observable. It also forces your devs to think about _how_ their app is observed.
Again, if you're at that point, you need logs. But thats never going to be your primary source of information. if you have more than a few services running at many transactions a second, you can't scale that kind of understanding using logs.
This is my point, if you have >100 services, each with many tens or hundreds of processes, your primary (well it shouldn't be, you need pre SLA fuckup alerts)alert to something going wrong is something breeching an SLA. That's almost certainly a metric. Using logs to derive that metric means you have a latency of 60-1500 seconds
Getting your apps to emit metrics directly means that you are able to make things much more observable. It also forces your devs to think about _how_ their app is observed.