Google Cloud Associate Cloud Engineer Course [2025] - Pass the Exam!

In this video, we'll explore Google Cloud's logging capabilities by creating a log bucket and setting up log analytics. Let's walk through this step-by-step in the GCP Console.

Step 1: Navigate to Logging

1. Go to the GCP Console
2. In the navigation menu, search for "Logging"
3. Click on "Log Storage" under the Logging section

Step 2: Create a Log Bucket

1. In the Log Storage dashboard, click "Create bucket"
2. Fill in the configuration:
   • Name: my-logging-bucket (must be globally unique)
   • Region: us-central1 (choose your preferred region)
   • Retention period: 30 days (default is 30 days)
   • Advanced options:
     • Uncheck "Enable Log Analytics" for now (we'll add this later)
     • Keep default settings for other options
3. Click "Create"

Step 3: Explore the Log Bucket

1. Once created, click on your bucket name
2. You'll see:
   • Bucket details
   • No logs yet (since we haven't routed any logs here)
   • Option to "Upgrade" to enable Log Analytics

Step 4: Enable Log Analytics

1. In your bucket details, click "Upgrade to Log Analytics"
2. This creates a BigQuery dataset linked to your logs
3. Once enabled, you'll see:
   • "View logs" button
   • "Query with Log Analytics" option

Step 5: Route Logs to the New Bucket

To populate the bucket, we'll create a sink to route logs:

1. Go back to Logging > Log Router
2. Click "Create Sink"
3. Configure the sink:
   • Name: route-to-logging-bucket
   • Sink destination: Select "Cloud Logging bucket"
   • Choose bucket: Select my-logging-bucket
   • Build inclusion filter (to route specific logs):
     • Example: resource.type="gce_instance" (routes VM logs)
     • You can leave empty to route all logs
   • Create or use existing service account: Create new
4. Click "Create"

Step 6: Query with Log Analytics

1. After logs are routed, go to your bucket in Log Storage
2. Click "Query with Log Analytics"
3. You'll see:
   • SQL query inter