🚀 OpenShift Forward Traces with OTEL to Tempo: A Step-by-Step Guide
In this post, I’ll walk you through how to forward traces from OpenShift using OpenTelemetry (OTEL) to Tempo, enabling better observability across your microservices. This setup allows for improved tracing and performance monitoring, ensuring your applications are running smoothly.
📝 What You’ll Learn:
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🌐 Setting up OTEL on OpenShift for trace collection.
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📡 Configuring OTEL to forward traces to Tempo.
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🎛️ Integrating with Grafana for real-time insights.
💡 Step 1: Install OpenTelemetry Operator
To begin, install the OpenTelemetry Operator on OpenShift. The OTEL operator simplifies collecting, processing, and exporting trace data from your services.
oc apply -f https://github.com/open-telemetry/opentelemetry-operator.git
⏸️ Pause here to check that the OTEL operator is up and running using the following command:
oc get pods -n opentelemetry-operator-system
Make sure all OTEL pods are in a Running state.
🔧 Step 2: Configure OTEL to Collect Traces
Now, configure OTEL to start collecting traces from your services:
- Create an OpenTelemetry
Collectorresource:
apiVersion: opentelemetry.io/v1alpha1
kind: OpenTelemetryCollector
metadata:
name: otel-collector
namespace: default
spec:
config: |
receivers:
otlp:
protocols:
grpc:
http:
processors:
batch:
exporters:
logging:
otlp:
endpoint: tempo-endpoint:4317
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [logging, otlp]
- Apply this configuration:
oc apply -f otel-collector.yaml
💡 Note: Replace tempo-endpoint with the actual endpoint of your Tempo instance.
⏸️ Pause to verify the collector is working:
oc get pods
📡 Step 3: Forward Traces to Tempo
Now, it’s time to configure OTEL to forward traces to Tempo.
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Ensure your Tempo instance is running and accessible from the OpenShift cluster.
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Update the OTEL collector’s configuration to point to the Tempo endpoint as shown in the previous step.
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Restart the OTEL collector to apply the changes:
oc rollout restart deployment/otel-collector
⏸️ Pause and check the logs to ensure traces are being sent:
oc logs deployment/otel-collector
🎛️ Step 4: Visualizing Traces in Grafana
Once the traces are being forwarded to Tempo, you can visualize them using Grafana. Here’s how:
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Add Tempo as a data source in Grafana.
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Navigate to the Explore tab and select the Tempo data source.
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View your traces to understand service performance and latency.
🚀 Success! You’ve now set up OTEL on OpenShift to forward traces to Tempo, with Grafana providing a powerful visualization layer for real-time monitoring.
🔗 Connect with me:
Hope this helps you take your observability game to the next level! Reach out if you have any questions or need further guidance. 😊
Imported from rifaterdemsahin.com · 2024