@Apoorva
1. Application latency. You can add more filters or remove operation filter. Below is just an example promql
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histogram_quantile(0.99, sum(rate(signoz_latency_bucket{service_name="frontend", operation="HTTP GET /dispatch"}[5m])) by (le))
2. Error percentage of application. Below example for
redis
service in hotrod example
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max(sum(rate(signoz_calls_total{service_name="redis", status_code="STATUS_CODE_ERROR"}[5m]) OR rate(signoz_calls_total{service_name="redis", http_status_code=~"5.."}[5m]))*100/sum(rate(signoz_calls_total{service_name="redis"}[5m]))) < 1000 OR vector(0)
SigNoz is an open-source APM. It helps developers monitor their applications & troubleshoot problems, an open-source alternative to DataDog, NewRelic, etc.