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GCP Google Cloud Platform - Cloud Trace

GCP Google Cloud Platform - Cloud Trace

Step-01: Introduction¶

Create a Google Kubernetes Engine (GKE) cluster by using the Google Cloud CLI.
Download and deploy a sample application to GKE cluster.
Create a trace by sending an HTTP request to the sample application.
View the latency information of the trace we created.
Clean up.

Step-02: Create a GKE cluster¶

# Set Project
gcloud config set project PROJECT_ID
gcloud config set project gcplearn9

# Create a GKE cluster
gcloud container clusters create cloud-trace-demo --zone us-central1-c

# Configure kubectl
gcloud container clusters get-credentials cloud-trace-demo --zone us-central1-c

# List Kubernetes nodes
kubectl get nodes

Step-03: Download and deploy Sample application¶

# Clone a Python app from GitHub:
git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git

# Run the following command to deploy the sample application:
cd python-docs-samples/trace/cloud-trace-demo-app-opentelemetry && ./setup.sh

Step-04: Create trace data¶

# Create a Trace
curl $(kubectl get svc -o=jsonpath='{.items[?(@.metadata.name=="cloud-trace-demo-a")].status.loadBalancer.ingress[0].ip}')

## Sample output
Hello, I am service A
And I am service B
Hello, I am service C

Step-05: View latency data¶

Go to Cloud Monitoring -> Explore -> Trace Explorer

Step-06: Clean-up¶

# Delete Kubernetes Resources
cd python-docs-samples/trace/cloud-trace-demo-app-opentelemetry
kubectl delete -f app/cloud-trace-demo.yaml

# Delete Kubernetes Cluster
Go to Kubernetes Engine -> Clusters -> cloud-trace-demo -> DELETE

Additional Reference¶

https://cloud.google.com/trace/docs/trace-app-latency
https://cloud.google.com/trace/docs
Node.js App: https://cloud.google.com/trace/docs/setup/nodejs-ot