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GCP Traces GCP Traces

Last Updated: Sep. 17, 2023

Google Cloud Platform provides built-in monitoring and observability tools that allow users to collect and analyze metrics and traces from their GCP resources. Send Google Cloud traces seamlessly to Coralogix. Search, analyze, and visualize your data, gaining insights into application behavior, identifying errors, and troubleshooting problems.

Find documentation on sending us your Google Cloud metrics here.

Overview

This tutorial details how to send your Google Cloud traces for ingestion by Coralogix. It requires that you configure GCP to send all your traces to a BigQuery sink, then create a service account giving Coralogix access to the BigQuery table holding the trace records. The table will be scanned periodically, with traces imported to Coralogix.

Prerequisites

Create a GCP Service Account

A prerequisite for sending your Google Cloud traces to Coralogix is creating a GCP service account.

STEP 1. Log in to your Google Cloud Console and select the project in which you want the service account to be created.

STEP 2. Navigate to the IAM & Admin section of the console by clicking on the menu on the top left corner of the console. Select IAM & Admin from the menu.

STEP 3. Click Service accounts in the left-hand menu and then click + CREATE SERVICE ACCOUNT.

STEP 4. Input your service account details: name, account ID, and description. Click CREATE AND CONTINUE.

STEP 5. Select roles for the service account. To collect traces, the roles BigQuery Job User and BigQuery Data Viewer are required..

STEP 6. Click Done.

STEP 7. An overview of all of your service accounts will appear. Find the service account you just created. Click the three dots in the left-most Action column and select Manage keys.

STEP 8. Click Add Key. Select JSON Key type. Store the key locally, as you will need it for the UI.

STEP 9. Click CREATE to create and download the key file.

Create a GCP Traces Integration

Set Up a BigQuery Traces Sink

A BigQuery traces sink has to be set up in your GCP project. This a requirement for configuration. Once created, it allows you to stream data from this table to Coralogix.

As a prerequisite, set the following environment variables based on the example below.

export PROJECT_NUMBER=12345678901   # The GCP project id
export ZONE=europe-west1            # The bigquery table and Pub/Sub topic must be in the same zone
export BQ_DATASET=traces            # Choose a unique name for the bigquery dataset
export SINK_ID=traces-sink          # Choose a unique name for sink
 

STEP 1. Set up Google Cloud Platform.

  • Install gcloud.
  • Log in to gcloud:
gcloud auth application-default login
  • Enable the necessary APIs:
gcloud services enable dataflow compute_component logging storage_component storage_api bigquery pubsub datastore.googleapis.com cloudresourcemanager.googleapis.com

STEP 2. Create the destination dataset.

bq --location=$ZONE mk \\
--dataset \\
--description="Traces" \\
$PROJECT_ID:$BQ_DATASET

Notes:

  • The vse command may be modified to conform to your dataset settings.
  • GCP will write traces in a table named cloud_trace in the dataset created in this step.
  • Save the name of your dataset as the Dataset ID, and the name of your table as the Table ID for use in this integration.

STEP 3. Create the sink.

gcloud alpha trace sinks create $SINK_ID bigquery.googleapis.com/projects/$PROJECT_NUMBER/datasets/$BQ_DATASET

A successful setup will produce an output similar to this:

You can give permission to the service account by running the following command.
gcloud projects add-iam-policy-binding bigquery-project \\
--member <serviceAccount:export-0000001cbe991a08-3434@gcp-sa-cloud-trace.iam.gserviceaccount.com> \\
--role roles/bigquery.dataEditor

STEP 4. Copy the command printed in the terminal in the previous step and replace bigquery-project with your project id.

STEP 5. Verify the sink was created successfully with the following command:

gcloud alpha trace sinks list

Create an Integration

To start collecting traces for a GCP project, an integration must be created. The configuration requires the BigQuery dataset name (Dataset ID) and table name (Table ID) created in the previous section.

STEP 1. From your Coralogix toolbar, navigate to Data Flow > Extensions.

STEP 2. From the Integrations section, select GCP Traces.

STEP 3. Click + ADD NEW.

STEP 4. Click SELECT FILE and select the key file that you created in the previous section.

A confirmation appears that the file uploaded successfully.

STEP 5. Click NEXT.

STEP 6. Create the BigQuery table according to the instructions in the integration.

STEP 7. Click NEXT.

STEP 8. Select the application and subsystem settings.

  • Integration Name. The Project ID. This is auto-populated using the service account key.
  • Application Name. The default application name. This is auto-populated using the service account key.
  • Application / Subsystem Label Selection. Select labels that will be used to create the application name. The first label in application_name_labels matching a resource attribute name or a trace label will be used as application name. If no match is found and application_name is not empty, that value will be used. Otherwise, application name will be left empty. The same logic applies to Subsystem Label Selection.
  • Subsystem Name. The default subsystem name.
  • Dataset ID. The name of the destination dataset created during your BigQuery traces sink setup.
  • Table ID. The name of the table created in the dataset during your BigQuery traces sink setup. The default is cloud_trace.

Step 9. Click NEXT.

Support

Need help?

Our world-class customer success team is available 24/7 to walk you through your setup and answer any questions that may come up.

Feel free to reach out to us via our in-app chat or by sending us an email at [email protected].

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