文档 Grafana Tempo 管理 使用 Google Cloud Run 进行搜索

使用 Google Cloud Run 进行搜索

本文档将引导您设置 Google Cloud Run 以进行无服务器后端搜索。有关完整后端搜索的配置选项的更多指导，请在此处查看。

1. 构建 Docker 镜像

   bash 复制

   cd ./cmd/tempo-serverless && make build-docker-gcr

   这将创建要部署到 Google Cloud Run 的 Docker 容器镜像。Docker 镜像将被命名为：`tempo-serverless:latest` 和 `tempo-serverless:<branch>-<commit hash>`。以下是名称示例：

   bash 复制

   $ docker images | grep tempo-serverless
   tempo-serverless                                                           cloud-run-3be4efa               146c9d9fa63c   58 seconds ago   47.9MB
   tempo-serverless                                                           latest                          146c9d9fa63c   58 seconds ago   47.9MB

2. 将镜像推送到 Google Container Registry 仓库。

3. 配置 Google Cloud Run 服务。此示例使用 Terraform。应调整配置值以满足您的安装需求。

   复制

   locals {
     // this can be increased if you would like to use multiple functions
     count = 1
   }
   
   resource "google_cloud_run_service" "run" {
     count = local.count
   
     name     = "<service name>"
     location = "<appropriate region>"
   
     metadata {
       annotations = {
           "run.googleapis.com/ingress"      = "internal",     # this annotation can be used to limit connectivity to the service
       }
     }
   
     template {
       metadata {
         annotations = {
             "autoscaling.knative.dev/minScale"                   = "1",
             "autoscaling.knative.dev/maxScale"                   = "1000",
             "autoscaling.knative.dev/panic-threshold-percentage" = "110.0",  # default 200.0. how aggressively to go into panic mode and start scaling heavily
             "autoscaling.knative.dev/window"                     = "10s",    # default 60s. window over which to average metrics to make scaling decisions
         }
       }
       spec {
         container_concurrency = 4
         containers {
           image = "<container image created above>"
           resources {
             limits = {
                 cpu = "2"
                 memory = "1Gi"
             }
           }
           env {
             name = "TEMPO_GCS_BUCKET_NAME"
             value = "<gcs bucket where tempo data is stored>"
           }
           env {
             name = "TEMPO_BACKEND"
             value = "gcs"
           }
           env {
             name = "TEMPO_GCS_HEDGE_REQUESTS_AT"
             value = "400ms"
           }
           env {
             name = "TEMPO_GCS_HEDGE_REQUESTS_UP_TO"
             value = "2"
           }
           env {
             name = "GOGC"
             value = "400"
           }
         }
       }
     }
   
     traffic {
       percent         = 100
       latest_revision = true
     }
   }

4. 在查询器配置中将新创建的 Cloud Run 服务添加为外部端点。端点可以从 Google Cloud Run 的详细信息选项卡中获取。

   复制

   querier:
     search:
       external_endpoints:
       - <trigger url from console>