I have a use case where I'm measuring the same metric across a bunch of different machines (e.g. the number of git operations in the last two hours across 5 file servers). I'd like to be able to compare them to each other, but currently each horizon's chart yMax is determined by its own dataset. I'd like to be able to normalize the scale across a bunch of horizons by explicitly setting the yMax.
Here's an example of the problem. Those spikes in fs8a shouldn't be near as pronounced because they are relatively non-eventful when compared with what's happening on fs9a.
I have a use case where I'm measuring the same metric across a bunch of different machines (e.g. the number of git operations in the last two hours across 5 file servers). I'd like to be able to compare them to each other, but currently each horizon's chart yMax is determined by its own dataset. I'd like to be able to normalize the scale across a bunch of horizons by explicitly setting the
yMax
.Here's an example of the problem. Those spikes in
fs8a
shouldn't be near as pronounced because they are relatively non-eventful when compared with what's happening onfs9a
.