This is where dashboard have been most useful to me: extract and expose key metrics of the system, in as unbiased and raw of a form as possible.
Or, to put it another way, looking at a dashboard should tell you reliable facts about the system, that lead you to further exploration.
As the post puts it, "They’re great for getting a high level sense of system functioning, and tracking important stats over long intervals. They are a good starting point for investigations."
Dashboards should not attempt to interpret anything, without being very clear about how, why, and what they're doing.
Example: response time statistics vs "responsive green/red light"
If it's important enough to have logic built on top of it, that's an alert, and that's something different.
Or, to put it another way, looking at a dashboard should tell you reliable facts about the system, that lead you to further exploration.
As the post puts it, "They’re great for getting a high level sense of system functioning, and tracking important stats over long intervals. They are a good starting point for investigations."
Dashboards should not attempt to interpret anything, without being very clear about how, why, and what they're doing.
Example: response time statistics vs "responsive green/red light"
If it's important enough to have logic built on top of it, that's an alert, and that's something different.