Depends on how much the non-operators are using the data. In SaaS companies it is common for the engineering teams to own the performance of their sub-systems,

Depends on how much the non-operators are using the data. In SaaS companies it is common for the engineering teams to own the performance of their sub-systems, which entails the need for instrumentation, monitoring, dashboards, alerting and investigative tooling. The trend has been to combine things like logs, distributed tracing, APM, error collection and general metrics collection into the same toolset so that you can more easily cross-coordinate between them when tracking down what is happening in a large system. microservices architecture and "devops" make this a much bigger thing requiring every team to take on some aspect of operational capability.