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Add documents for apdex and parameter explanation for heatmap, apdex and p99 (#4142)

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吴晟 Wu Sheng 2019-12-27 22:09:03 +08:00 committed by GitHub
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docs/en/concepts-and-designs/oal.md
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@ -60,11 +60,20 @@ In this case, calls of each service.
- `p99`, `p95`, `p90`, `p75`, `p50`. Read [p99 in WIKI](https://en.wikipedia.org/wiki/Percentile)
> All_p99 = from(All.latency).p99(10);
In this case, p99 value of all incoming requests.
In this case, p99 value of all incoming requests. The parameter is the precision of p99 latency calculation, such as in above case, 120ms and 124 are considered same.
- `thermodynamic`. Read [Heatmap in WIKI](https://en.wikipedia.org/wiki/Heat_map))
> All_heatmap = from(All.latency).thermodynamic(100, 20);
In this case, thermodynamic heatmap of all incoming requests.
In this case, thermodynamic heatmap of all incoming requests.
The parameter (1) is the precision of latency calculation, such as in above case, 113ms and 193ms are considered same in the 101-200ms group.
The parameter (2) is the group amount. In above case, 21(param value + 1) groups are 0-100ms, 101-200ms, ... 1901-2000ms, 2000+ms
- `apdex`. Read [Apdex in WIKI](https://en.wikipedia.org/wiki/Apdex)
> service_apdex = from(Service.latency).apdex(name, status);
In this case, apdex score of each service.
The parameter (1) is the service name, which effects the Apdex threshold value loaded from service-apdex-threshold.yml in the config folder.
The parameter (2) is the status of this request. The status(success/failure) effects the Apdex calculation.
## Metrics name
The metrics name for storage implementor, alarm and query modules. The type inference supported by core.