Jay Brown
477518e5eb
API instrumentation - metrics and logging * api instrumentation prometheus metrics and logging for all routes * Merge branch 'main' of bitbucket.org:aarete/query-orchestration into feature/prometheus * add log_level and sync the config initialize * docs * cleanup * add to compose:up:test * docs for prometheus testing * custom metrics * cleanup * merge main * add tests * cleanup docs * cleanup * lint * fix unit tests (attempt) * fix tests * resolvesetlogger * expose 8080 * compose changes * bugfixesformichael * don't build _test * merge in main * job_sync_runner
40 lines
1.2 KiB
Markdown
40 lines
1.2 KiB
Markdown
# Prometheus sample code
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This is a sample main that will use the custom doczy prometheus library to expose some typical
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metrics.
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`task compose:up:test` (to start prometheus)
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Then run
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`go run ./cmd/metricsExample_test/main.go`
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to start the metrics example server.
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Prometheus console is at http://localhost:9090/
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## Example queries for the
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Use these queries in the prometheus console to see the metrics from the sample main.go
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### Total requests per endpoint (rate over 5m)
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rate(myapp_api_api_requests_total[5m])
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### Request rate by status code
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sum by (status) (rate(myapp_api_api_requests_total[5m]))
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### Request rate by method
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sum by (method) (rate(myapp_api_api_requests_total[5m]))
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### Current active users by type
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myapp_api_active_users
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### Total active users across all types
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sum(myapp_api_active_users)
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## Histograms
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### 95th percentile request duration by endpoint
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histogram_quantile(0.95, sum(rate(myapp_api_request_duration_seconds_bucket[5m])) by (endpoint, le))
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### Average request duration
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rate(myapp_api_request_duration_seconds_sum[5m]) / rate(myapp_api_request_duration_seconds_count[5m])
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### Request duration heatmap (if you have Grafana)
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myapp_api_request_duration_seconds_bucket
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