[connector/spanmetrics] Add maximum span duration metric

[swar8080]

Component(s)

connector/spanmetrics

Is your feature request related to a problem? Please describe.

Hello, adding a duration_max span metric would be helpful for finding anomalies in latency

Describe the solution you'd like

The connector flushes metrics at a configurable interval, so maybe it could emit a gauge with the highest latency seen since the last flush

For cumulative span metrics, I suppose it could flush a value of zero if no spans are seen in-between flushes? For delta span metrics it would not emit anything in that case?

I'm also assuming new configuration would be good for disabling this metric

Describe alternatives you've considered

Lmk if there's an alternative

Additional context

I can implement this change

[github-actions]

Pinging code owners:

• connector/spanmetrics: @portertech

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[crobert-1]

Span duration metrics are currently exported from the connector in the form of histograms with buckets that can be modified as users see fit. Is there a reason this is insufficient for your use case?

[swar8080]

Hi @crobert-1, we are running the gateway collector set-up where one span metric configuration is producing span metrics for dozens of applications. That makes it harder to pick a set of histogram buckets that work for all use cases. For example, a 30 second bucket may be sufficient for identifying long-running API call spans but not for a batch job's spans that take several minutes. We also don't get the exactness of the latency that a max metric would give, only that the latency is between two buckets' values.

Although we're switching from using an observability vendor that calculated max automatically, so we may be used to relying on max when the imprecision of histograms works in practice

[crobert-1]

Would the idea be to then have a datapoint within the metric representing each application that's sending data in?

That generally makes sense to me, but one question I have is how much effort is required to allow the connector to export metrics that aren't histograms. It looks like metrics are all output as histograms from the README, so I'm wondering what this change would entail from that perspective. (Correct me if I'm wrong here and it's already exporting gauges.)

[swar8080]

Would the idea be to then have a datapoint within the metric representing each application that's sending data in?

I was picturing it working like the existing calls counter span metrics. Just like how calls creates a counter metric for each unique combination of specific span attributes seen, like span name, span kind, status code, etc., a corresponding maximum gauge metric could be created too. The gauge could track max latency seen for spans with those same attributes within the metrics_flush_interval.

That generally makes sense to me, but one question I have is how much effort is required to allow the connector to export metrics that aren't histograms

The control flow seems mostly the same as the calls metric and needs to be adapted for the gauge and maximum tracking. That might still be a couple hundred lines of non-test code.

The tasks coming to mind are:

• Where the count for the calls metric is incremented, also determine the new maximum for those span attributes. Only exemplars for spans with the maximum latency would be kept
• When flushing metrics to the exporters, conversion from the struct used to track the maximums to gauge metrics
• Resetting the maximum after flushing. That way a new maximum can be tracked for the next flush and also omitted from flushing until there's a new matching span
• Configuration to opt-out of the maximum metric

[portertech]

I suppose it would be too cumbersome to support specific service (and/or span type) explicit histogram bucket configuration?

[swar8080]

I suppose it would be too cumbersome to support specific service (and/or span type) explicit histogram bucket configuration?

That's a workaround but creates more effort for an observability team to maintain and explain how it works to other teams. In our case, we're using the centralized/gateway collector set-up instead of sidecars. I suppose each custom request from other teams would need a new filter, span metric component, and pipeline set-up

[github-actions]

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Pinging code owners:

• connector/spanmetrics: @portertech @Frapschen

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[github-actions]

This issue has been closed as inactive because it has been stale for 120 days with no activity.