Comments (2)
Since we want to change the metrics beyla provides anyways, the plan is to stay on this version, and try using span-based metrics for the time being. That way, we can get resource attributes (like the application's IP) to use with the k8sattributes processor.
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Might be able to work around this with: BEYLA_METRICS_REPORT_CACHE_LEN=some large number. Same applies to traces.
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Related Issues (20)
- Error on exporting Metrics to Google Cloud HOT 8
- Deployment + daemonset recipe: Add daemonset memory limiter
- Deployment + daemonset recipe: Deployment persistent buffering
- Prometheus target allocator recipe
- Needed to run a credentials helper for docker to make `make push` work HOT 2
- Python app has dependency issue which causes exception to be raised HOT 1
- persistent queue sample should use a persistent volume
- Those logs of otel-collector was always [severity: "ERROR"] HOT 1
- Sample for k8sclusterreceiver
- It isn't obvious that the collector at the repo base doesn't write to GCP HOT 1
- Expand beyla recipe to include a service graph HOT 1
- Trying to deploy sample java app facing issue while deploying the service HOT 11
- Upgrade Gradle version used for Java sample
- Reduce privileges of beyla sample HOT 6
- Upgrade beyla to 1.3.1
- Update trace-enhancements demo to use transform processor HOT 1
- Beyla server spans has wrong `server.address` for the given `k8s.pod.name` HOT 3
- Consider using service graph metrics directly from beyla
- Recipe for getting HPA external metrics working HOT 1
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