Illustrate the configuration for allowing distributed tracing using Jaeger.
Install Seldon Core as described in docs
Then port-forward to that ingress on localhost:8003 in a separate terminal either with:
- Ambassador:
kubectl port-forward $(kubectl get pods -n seldon -l app.kubernetes.io/name=ambassador -o jsonpath='{.items[0].metadata.name}') -n seldon 8003:8080
- Istio:
kubectl port-forward $(kubectl get pods -l istio=ingressgateway -n istio-system -o jsonpath='{.items[0].metadata.name}') -n istio-system 8003:80
!kubectl create namespace seldonError from server (AlreadyExists): namespaces "seldon" already exists
!kubectl config set-context $(kubectl config current-context) --namespace=seldonContext "kind-ansible" modified.
Follow the Jaeger docs to install on Kubernetes.
!kubectl create namespace observability
!kubectl create -f https://github.com/jaegertracing/jaeger-operator/releases/download/v1.38.0/jaeger-operator.yaml -n observabilitynamespace/observability created
customresourcedefinition.apiextensions.k8s.io/jaegers.jaegertracing.io created
serviceaccount/jaeger-operator created
role.rbac.authorization.k8s.io/jaeger-operator created
rolebinding.rbac.authorization.k8s.io/jaeger-operator created
deployment.apps/jaeger-operator created
!pygmentize simplest.yaml�[94mapiVersion�[39;49;00m: jaegertracing.io/v1
�[94mkind�[39;49;00m: Jaeger
�[94mmetadata�[39;49;00m:
�[94mname�[39;49;00m: simplest
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!kubectl apply -f simplest.yamljaeger.jaegertracing.io/simplest created
Port forward to Jaeger UI
kubectl port-forward $(kubectl get pods -l app.kubernetes.io/name=simplest -n seldon -o jsonpath='{.items[0].metadata.name}') 16686:16686 -n seldon!pygmentize deployment_rest.yaml�[94mapiVersion�[39;49;00m: machinelearning.seldon.io/v1
�[94mkind�[39;49;00m: SeldonDeployment
�[94mmetadata�[39;49;00m:
�[94mname�[39;49;00m: tracing-example
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!kubectl create -f deployment_rest.yamlseldondeployment.machinelearning.seldon.io/tracing-example created
!kubectl rollout status deploy/$(kubectl get deploy -l seldon-deployment-id=tracing-example -o jsonpath='{.items[0].metadata.name}')deployment "tracing-example-tracing-0-model1" successfully rolled out
!curl -d '{"data": {"ndarray":[[1.0, 2.0, 5.0]]}}' \
-X POST http://localhost:8003/seldon/seldon/tracing-example/api/v1.0/predictions \
-H "Content-Type: application/json"{"data":{"names":["proba"],"ndarray":[[0.43782349911420193]]},"meta":{"requestPath":{"model1":"seldonio/mock_classifier:1.9.0-dev"}}}
Check the Jaeger UI. You should be able to find traces like below:
!kubectl delete -f deployment_rest.yamlseldondeployment.machinelearning.seldon.io "tracing-example" deleted
!pygmentize deployment_grpc.yaml!kubectl create -f deployment_grpc.yaml!kubectl rollout status deploy/$(kubectl get deploy -l seldon-deployment-id=tracing-example -o jsonpath='{.items[0].metadata.name}')!cd ../../../executor/proto && grpcurl -d '{"data":{"ndarray":[[1.0,2.0]]}}' \
-rpc-header seldon:tracing-example -rpc-header namespace:seldon \
-plaintext \
-proto ./prediction.proto 0.0.0.0:8003 seldon.protos.Seldon/PredictCheck the Jaeger UI. You should be able to find traces like below:
!kubectl delete -f deployment_grpc.yaml!kubectl delete -f https://raw.githubusercontent.com/jaegertracing/jaeger-operator/master/deploy/crds/jaegertracing.io_jaegers_crd.yaml
!kubectl delete -f https://raw.githubusercontent.com/jaegertracing/jaeger-operator/master/deploy/service_account.yaml
!kubectl delete -f https://raw.githubusercontent.com/jaegertracing/jaeger-operator/master/deploy/role.yaml
!kubectl delete -f https://raw.githubusercontent.com/jaegertracing/jaeger-operator/master/deploy/role_binding.yaml
!kubectl delete -f https://raw.githubusercontent.com/jaegertracing/jaeger-operator/master/deploy/operator.yaml
!kubectl delete namespace observability
