Hi
I am trying to run tempo-distributed in kubernetes with minio s3 storage on virtual host is the same cloud.
custom.yaml file to apply
---
storage:
trace:
backend: s3
s3:
access_key: 'acc_key'
secret_key: 'secret_key'
bucket: 'echo-test'
endpoint: 'endpoint with minio on 9000 port (API)'
insecure: true
traces:
otlp:
grpc:
enabled: true
http:
enabled: true
zipkin:
enabled: true
jaeger:
thriftHttp:
enabled: true
opencensus:
enabled: true
minio:
enabled: false
server:
# -- Log level. Can be set to trace, debug, info (default), warn, error, fatal, panic
logLevel: debug
distributor:
config:
# -- Enable to log every received trace id to help debug ingestion
# -- WARNING: Deprecated. Use log_received_spans instead.
log_received_traces: true
# -- Enable to log every received span to help debug ingestion or calculate span error distributions using the logs
log_received_spans:
enabled: true
include_all_attributes: true
filter_by_status_error: true
So, after deploy in k8s all pods green and seems everything is ok.
But, when i try to push some traces on distributor nothing happens and no single-tenant blocks appear in s3
Curl post send partial success, but also nothing
Tempo uses OTel components in the distributor to receive and parse traces. That response is indicating that some data was rejected by the OTel receiver. Given that youβre sending a single trace, itβs rejecting everything.
Verify that the payload adheres to the OTLP spec. For example, the trace ID is not following the spec.
curl -X POST -H "Content-Type: application/json" -d @trace.json -i grafana-k8s-monitoring-grafana-agent.monitoring.svc.cluster.local:4318/v1/traces
HTTP/1.1 200 OK
Content-Type: application/json
Date: Wed, 20 Mar 2024 10:48:01 GMT
Content-Length: 21
{"partialSuccess":{}}
I can see the service name in grafana cloud explore section by choosing tempo.
It shows the service name in search filter. But there is no trace id in the search result. it is just empty.
No idea how to debug. I enabled grafana-agent debug logging but I dont see any useful log to understand the problem.