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Provide example useful queries that can be run with this exporter #17
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Any special information you're looking for? |
Two goals here:
I feel like I'm not entirely sure about what data can be extracted for point 2, as I'm not sure how the creators of this exporter expected it to be used? |
Some useful queries to begin with:
It would be great to hear from others how they're using this exporter. Especially to better understand how they're visualising this data (Grafana?) and what plugins they're using. |
"total number of incidents" -> working on that.. thinking about limiting the stats to "month to date" to reduce the load on pagerduty servers. can you explain why you need the count of tags? how do you use them? heatmap would be the result from "total number of incidents" |
please try also added metric |
What about limiting the count to the serviceIDs? If you're a big enough organisation that aggregate value can be quite noisy.
Two examples come to mind: tags can be used to track specific microservices/subsystems against an incident. They can also be used to track any other things we're aware of. I'd like to use it as a view on the "weekly" theme for incidents. |
the exporter is now fetching 31 days and generates the summary metrics. it uses that list also to check what status changes were done. that should not create that much load.
not used tags at the moment.. thinking about how they can be integrated feel free to provide feedback if the current solution with |
It looks like a good start. Need to run this for a month to have enough data to be able to provide some reasonable feedback. |
Something that would be useful is to collect sample queries that can be used to produce useful information.
My hope is that this issue can act as a starting point for this. Ideally it would extend the two queries shown in the
README
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