Use when investigating latency, throughput, error rate, or concurrency of any Storj Go service (satellite, storagenode, gateway, linksharing, etc.), comparing performance across pods/nodes/regions, finding which Go functions are instrumented, or interpreting monkit `function` / `function_times` series from Thanos/Prometheus.
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Use when investigating latency, throughput, error rate, or concurrency of any Storj Go service (satellite, storagenode, gateway, linksharing, etc.), comparing performance across pods/nodes/regions, finding which Go functions are instrumented, or interpreting monkit `function` / `function_times` series from Thanos/Prometheus.
Monkit Prometheus Metrics
Overview
Monkit (defer mon.Task()(&ctx)(&err)) emits two metrics for every instrumented Go method:
function_times — latency (percentiles, min/max, recent samples). Use for "how slow?"
function — call counters and concurrency. Use for "how often?" / "how many in flight?" / "how many fail?"
Both share the same name, scope, and environment labels, so you usually query them with the same filter set.
sum by (environment_name) (
rate(function{
name="__Endpoint__CommitObject",
scope="storj_io_storj_satellite_metainfo",
field="successes"
}[5m])
)
Naming Convention
Go code
name label
func (e *Endpoint) CommitObject(...)
__Endpoint__CommitObject
func commitObject(...) (package-level)
commitObject
func (s *SpannerAdapter) CommitObject(...)
__SpannerAdapter__CommitObject
Same name, different scope
The same name can appear under multiple scope values. Example: __Endpoint__CommitObject lives in storj_io_storj_satellite_metainfo (the handler), and the RPC wrapper for the same call shows up as _metainfo_Metainfo_CommitObject in storj_io_common_rpc_rpctracing. Always include scope (or scope=~"...") when comparing or you will mix unrelated timings.
Note: Storj scopes double — storj_io_storj_satellite_metainfo — because the import path is storj.io/storj/.... Expected.
Finding Instrumented Methods
Methods with defer mon.Task()(&ctx)(&err) emit metrics:
