Fix GCP Cloud Run Run Distributed Tracing Errors
When working with GCP Cloud Run, you may encounter a configuration error that prevents your deployment from working. This guide explains the most common mistake with run distributed tracing and shows the exact fix.
A Common Mistake
Not enabling distributed tracing for a Cloud Run service, making it impossible to trace requests across multiple microservices to debug performance issues.
The incorrect command:
# Application code without tracing
app.get("/api/data", (req, res) => {
const result = await callServiceB();
const data = await queryDatabase(result);
res.json(data);
});
Error output:
Deployed.
End users report slow response times (5s+).
Without traces, it is unclear whether the slow down is in:
- Network latency to service B
- Service B processing time
- Database query time
- Serialization/deserialization
Debugging is guesswork.
The Correct Approach
The right way to configure run distributed tracing in GCP Cloud Run:
# Application code with Cloud Trace
const {TraceContext} = require('@google-cloud/trace-agent');
app.get("/api/data", (req, res) => {
const result = await callServiceB(); // Traced as child span
const data = await queryDatabase(result); // Traced as child span
res.json(data);
});
Successful result:
Deployed with tracing.
Cloud Trace shows:
Total: 5.2s
- callServiceB: 4.8s (92%)
- queryDatabase: 300ms (6%)
- other: 100ms (2%)
The issue is in service B, not the database.
How to Prevent This
Use Cloud Trace SDK in your application. Trace context propagates via HTTP headers (x-cloud-trace-context). Set up Trace custom spans for business logic. View traces in Cloud Trace console. Set up trace-based metrics and alerts. All Cloud Run services should use tracing for observability.
FAQ
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