From d331908cd7d3e11975c7953d32f91c18ce767039 Mon Sep 17 00:00:00 2001 From: roc Date: Wed, 24 Apr 2024 14:27:11 +0800 Subject: [PATCH] update at 2024-04-24 14:27:11 --- .../autoscaling/hpa-with-custom-metrics/prometheus-adapter.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/best-practices/autoscaling/hpa-with-custom-metrics/prometheus-adapter.md b/content/best-practices/autoscaling/hpa-with-custom-metrics/prometheus-adapter.md index 4bb79d2..ceb19dc 100644 --- a/content/best-practices/autoscaling/hpa-with-custom-metrics/prometheus-adapter.md +++ b/content/best-practices/autoscaling/hpa-with-custom-metrics/prometheus-adapter.md @@ -164,7 +164,7 @@ spec: 我们使用 helm 安装 [prometheus-adapter](https://artifacthub.io/packages/helm/prometheus-community/prometheus-adapter)，安装前最重要的是确定并配置自定义指标，按照前面的示例，我们业务中使用 `httpserver_requests_total` 这个指标来记录 HTTP 请求，那么我们可以通过类似下面的 PromQL 计算出每个业务 Pod 的 QPS 监控: ``` -sum(rate(http_requests_total[2m])) by (pod) +sum(rate(httpserver_requests_total[2m])) by (pod) ``` 我们需要将其转换为 prometheus-adapter 的配置，准备一个 `values.yaml`: