Closed albertnanda closed 5 years ago
Hi, @albertnanda Sorry, that's the missing part. You should also port-forward (or expose) your deployment. I will add that in the next documentation release.
$ kubectl port-forward deploy/ml-lambda-sidecar 8080:80
Hi, NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE SELECTOR docker-registry-ml-lambda ClusterIP 10.100.122.153 5000/TCP 24s app=docker-registry,release=ml-lambda
elasticsearch-ml-lambda ClusterIP 10.100.169.178 9200/TCP 24s app=elasticsearch,release=ml-lambda
hydro-serving-gateway-ml-lambda ClusterIP 10.100.42.231 9090/TCP,9091/TCP 24s app=gateway,release=ml-lambda
hydro-serving-manager-ml-lambda ClusterIP 10.100.205.87 9090/TCP,9091/TCP 24s app=manager,release=ml-lambda
hydro-serving-sidecar-ml-lambda ClusterIP 10.100.76.101 8080/TCP,8081/TCP,8082/TCP 24s app=sidecar,release=ml-lambda
hydro-serving-ui-ml-lambda ClusterIP 10.100.97.142 9091/TCP 24s app=ui,release=ml-lambda
influx-ml-lambda ClusterIP 10.100.88.22 8086/TCP 24s app=influx,release=ml-lambda
kubernetes ClusterIP 10.100.0.1 443/TCP 37m
postgres-ml-lambda ClusterIP 10.100.205.26 5432/TCP 24s app=postgres,release=ml-lambda
And http://localhost is not working.
Thanks, AN