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wip charts

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Adrien Beaudouin
2023-12-25 17:00:47 +01:00
parent a9dacbb3a2
commit f5f3b033bb
2 changed files with 144 additions and 114 deletions
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content/posts/22-web-api-benchmarks-2024/index.md
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@ -309,21 +309,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -340,21 +342,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -371,21 +375,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -402,21 +408,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -433,21 +441,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -464,21 +474,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -495,21 +507,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -526,21 +540,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -557,21 +573,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -588,21 +606,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -619,21 +639,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -650,21 +672,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -681,21 +705,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}
@ -712,21 +738,23 @@ Now we have a very runtime intensive scenario, with workers as bottleneck, API i
{{< tabs >}}
{{< tab tabName="Counters & Req/s" >}}
| Metric | Value |
| ---------------- | ----- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Metric | Value |
| ------------------ | ------- |
| Iteration rate | **X** |
| Total requests | **X** |
| Total iterations | **X** |
| Max req/s | **X** |
| p(90) req duration | **Xms** |
{{< chart type="timeseries" title="Req/s count" datasets="" />}}
{{< chart type="timeseries" title="Req/s count" datasets="Req/s|" />}}
{{< /tab >}}
{{< tab tabName="Req duration" >}}
{{< chart type="timeseries" title="VUs count" datasets="" />}}
{{< chart type="timeseries" title="VUs count" datasets="VUs|" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="" />}}
{{< chart type="timeseries" title="Request duration in ms" datasets="Duration (ms)|" />}}
{{< /tab >}}
{{< tab tabName="CPU load" >}}

6
layouts/shortcodes/chart.html
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@ -53,8 +53,10 @@
{{ . }},
{{ end }}
],
borderColor: {{ index (split . "|") 2 }} || '#a78bfa',
backgroundColor: {{ index (split . "|") 2 }} || '#c4b5fd',
{{ if $c := index (split . "|") 2 }}
borderColor: {{ $c }},
backgroundColor: {{ $c }},
{{ end }}
{{ if $.Get "stacked" }}
fill: true,
{{ end }}