Deployment and OperationsBackend search - serverless GCP setup

Google Cloud Functions

This document will walk you through setting up a Google Cloud Function for serverless backend search. For more guidance on configuration options for full backend search check here.

  1. Build the code package:

    cd ./cmd/tempo-serverless && make build-gcf-zip

    This will create a ZIP file containing all the code required for the function. The file name will be of the form: ./cloud-functions/tempo-<branch name>-<commit hash>.zip. Here is an example of that name:

    ls cloud-functions/*.zip
  2. Provision a GCS bucket.

  3. Copy the ZIP file into your bucket.

    gsutil cp cloud-functions/ gs://<newly provisioned gcs bucket>
  4. Provision the Google Cloud Function. This example uses Terraform:

    locals {
      // this can be increased if you would like to use multiple functions
      count = 1
    resource "google_cloudfunctions_function" "function" {
      count = local.count
      name        = "<function name>-${count.index}"
      description = "Tempo Search Function"
      runtime     = "go116"
      available_memory_mb   = 1024
      source_archive_bucket = <GCS bucket created above>
      source_archive_object = ""
      trigger_http          = true
      entry_point           = "Handler"
      ingress_settings      = "ALLOW_INTERNAL_ONLY"
      min_instances         = 1
      // Tempo serverless functions are configured via environment variables
      environment_variables = {
        "TEMPO_GCS_BUCKET_NAME"          = "<GCS bucket name backing your Tempo instance>"
        "TEMPO_BACKEND"                  = "gcs"
        "TEMPO_GCS_HEDGE_REQUESTS_AT"    = "400ms"
  5. Add the newly-created functions as external endpoints in your querier configuration. The endpoint can be retrieved from the trigger tab in Google Cloud Functions:

    Google Cloud Functions trigger tab

        - <trigger url from console>