Configurare un mesh di servizi gRPC proxyless su GKE
In questa pagina viene descritto come eseguire il deployment di un client e un server gRPC proxyless di esempio in un Cloud Service Mesh.
Prerequisiti
Come punto di partenza, questa guida presuppone che tu abbia già:
- Hai creato un cluster GKE e lo hai registrato in un parco risorse.
- Hai installato le definizioni di risorse personalizzate.
Requisiti
Questa sezione elenca i requisiti per i servizi supportati:
- gRPC C++ - versione 1.62.0 o successive
- gRPC Java - versione 1.65.0 o successive
- gRPC Go - versione 1.65.0 o successive
- gRPC Python - versione 1.65.0 o successive
Configurare il servizio
Esegui il deployment di un servizio gRPC:
C++
kubectl apply -f - <<EOF
---
apiVersion: v1
kind: Service
metadata:
name: helloworld
spec:
selector:
app: psm-grpc-server
ports:
- port: 50051
targetPort: 50051
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-server
labels:
app: psm-grpc-server
spec:
replicas: 2
selector:
matchLabels:
app: psm-grpc-server
template:
metadata:
labels:
app: psm-grpc-server
spec:
containers:
- name: psm-grpc-server
image: grpc/csm-o11y-example-cpp-server:latest
imagePullPolicy: Always
args:
"--port=50051"
ports:
- containerPort: 50051
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CSM_WORKLOAD_NAME
value: psm-grpc-server
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
Java
kubectl apply -f - <<EOF
---
apiVersion: v1
kind: Service
metadata:
name: helloworld
spec:
selector:
app: psm-grpc-server
ports:
- port: 50051
targetPort: 50051
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-server
labels:
app: psm-grpc-server
spec:
replicas: 2
selector:
matchLabels:
app: psm-grpc-server
template:
metadata:
labels:
app: psm-grpc-server
spec:
containers:
- name: psm-grpc-server
image: grpc/csm-o11y-example-java-server:latest
imagePullPolicy: Always
args:
"50051"
"9464"
ports:
- containerPort: 50051
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CSM_WORKLOAD_NAME
value: psm-grpc-server
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
Go
kubectl apply -f - <<EOF
---
apiVersion: v1
kind: Service
metadata:
name: helloworld
spec:
selector:
app: psm-grpc-server
ports:
- port: 50051
targetPort: 50051
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-server
labels:
app: psm-grpc-server
spec:
replicas: 2
selector:
matchLabels:
app: psm-grpc-server
template:
metadata:
labels:
app: psm-grpc-server
spec:
containers:
- name: psm-grpc-server
image: grpc/csm-o11y-example-go-server:latest
imagePullPolicy: Always
args:
"--port=50051"
ports:
- containerPort: 50051
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CSM_WORKLOAD_NAME
value: psm-grpc-server
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
Python
kubectl apply -f - <<EOF
---
apiVersion: v1
kind: Service
metadata:
name: helloworld
spec:
selector:
app: psm-grpc-server
ports:
- port: 50051
targetPort: 50051
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-server
labels:
app: psm-grpc-server
spec:
replicas: 2
selector:
matchLabels:
app: psm-grpc-server
template:
metadata:
labels:
app: psm-grpc-server
spec:
containers:
- name: psm-grpc-server
image: grpc/csm-o11y-example-python-server:latest
imagePullPolicy: Always
args:
"--port=50051"
ports:
- containerPort: 50051
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CSM_WORKLOAD_NAME
value: psm-grpc-server
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
L'output è simile a
service/helloworld created
deployment.apps/psm-grpc-server created
Verifica che i pod siano stati creati:
kubectl get pods
L'output è simile a
NAME READY STATUS RESTARTS AGE psm-grpc-server-65966bf76d-2wwxz 1/1 Running 0 13s psm-grpc-server-65966bf76d-nbxd2 1/1 Running 0 13s
Attendi che tutti i pod siano pronti e che lo stato
Status
sia In esecuzione prima di procedere.Esegui il deployment di una HTTPRoute:
kubectl apply -f - <<EOF apiVersion: gateway.networking.k8s.io/v1beta1 kind: HTTPRoute metadata: name: app1 spec: parentRefs: - name: helloworld kind: Service group: "" rules: - backendRefs: - name: helloworld port: 50051 EOF
Questo comando crea un parametro HTTPRoute denominato app1 e invia tutte le RPC al servizio
helloworld
.Tieni presente che il servizio
parentRef
è anchehelloworld
, il che significa che il nostro HTTPRoute è collegato a questo servizio ed elaborerà tutte le RPC indirizzate a questo servizio. In caso di gRPC senza proxy, si intende qualsiasi client che invia RPC su un canale gRPC per la destinazionexds:///helloworld.default.svc.cluster.local:50051
.Verifica che sia stato creato il nuovo percorso HTTP app1:
kubectl get httproute
L'output è simile a
NAME HOSTNAMES AGE app1 72s
Configurare il client
Questa sezione descrive come utilizzare un client gRPC per verificare che Cloud Service Mesh instrada correttamente il traffico nel mesh.
Esegui un client gRPC e invitalo a utilizzare la configurazione di routing specificata da HTTPRoute:
C++
kubectl apply -f - <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-client
labels:
app: psm-grpc-client
spec:
replicas: 1
selector:
matchLabels:
app: psm-grpc-client
template:
metadata:
labels:
app: psm-grpc-client
spec:
containers:
- name: psm-grpc-client
image: grpc/csm-o11y-example-cpp-server:latest
imagePullPolicy: Always
args:
"--target=xds:///helloworld.default.svc.cluster.local:50051"
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: CSM_WORKLOAD_NAME
value: psm-grpc-client
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CONTAINER_NAME
value: psm-grpc-client
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
Java
kubectl apply -f - <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-client
labels:
app: psm-grpc-client
spec:
replicas: 1
selector:
matchLabels:
app: psm-grpc-client
template:
metadata:
labels:
app: psm-grpc-client
spec:
containers:
- name: psm-grpc-client
image: grpc/csm-o11y-example-java-server:latest
imagePullPolicy: Always
args:
"world"<br/>"xds:///helloworld.default.svc.cluster.local:50051"
"9464"
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: CSM_WORKLOAD_NAME
value: psm-grpc-client
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CONTAINER_NAME
value: psm-grpc-client
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
Go
kubectl apply -f - <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-client
labels:
app: psm-grpc-client
spec:
replicas: 1
selector:
matchLabels:
app: psm-grpc-client
template:
metadata:
labels:
app: psm-grpc-client
spec:
containers:
- name: psm-grpc-client
image: grpc/csm-o11y-example-go-server:latest
imagePullPolicy: Always
args:
"--target=xds:///helloworld.default.svc.cluster.local:50051"
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: CSM_WORKLOAD_NAME
value: psm-grpc-client
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CONTAINER_NAME
value: psm-grpc-client
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
Python
kubectl apply -f - <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
name: psm-grpc-client
labels:
app: psm-grpc-client
spec:
replicas: 1
selector:
matchLabels:
app: psm-grpc-client
template:
metadata:
labels:
app: psm-grpc-client
spec:
containers:
- name: psm-grpc-client
image: grpc/csm-o11y-example-python-server:latest
imagePullPolicy: Always
args:
"--target=xds:///helloworld.default.svc.cluster.local:50051"
env:
- name: GRPC_XDS_BOOTSTRAP
value: "/tmp/grpc-xds/td-grpc-bootstrap.json"
- name: CSM_WORKLOAD_NAME
value: psm-grpc-client
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: NAMESPACE_NAME
valueFrom:
fieldRef:
fieldPath: metadata.namespace
- name: CONTAINER_NAME
value: psm-grpc-client
- name: OTEL_RESOURCE_ATTRIBUTES
value: k8s.pod.name=\$(POD_NAME),k8s.namespace.name=\$(NAMESPACE_NAME),k8s.container.name=\$(CONTAINER_NAME)
volumeMounts:
- mountPath: /tmp/grpc-xds/
name: grpc-td-conf
readOnly: true
initContainers:
- name: grpc-td-init
image: gcr.io/trafficdirector-prod/td-grpc-bootstrap:0.16.0
imagePullPolicy: Always
args:
- "--output=/tmp/bootstrap/td-grpc-bootstrap.json"
- "--vpc-network-name=default"
- "--xds-server-uri=trafficdirector.googleapis.com:443"
- "--generate-mesh-id"
volumeMounts:
- mountPath: /tmp/bootstrap/
name: grpc-td-conf
volumes:
- name: grpc-td-conf
emptyDir:
medium: Memory
EOF
L'output è simile a
deployment.apps/psm-grpc-client created
(Facoltativo) Configurazione di Google Cloud Managed Service per Prometheus
Puoi eseguire il deployment della risorsa Google Cloud Managed Service per Prometheus
PodMonitoring
per esportare le metriche in Cloud Monitoring.
Per i server, esegui il seguente comando:
kubectl apply -f - <<EOF apiVersion: monitoring.googleapis.com/v1 kind: PodMonitoring metadata: name: psm-grpc-server-gmp spec: selector: matchLabels: app: psm-grpc-server endpoints: - port: 9464 interval: 10s EOF
Per i client, esegui il seguente comando:
kubectl apply -f - <<EOF apiVersion: monitoring.googleapis.com/v1 kind: PodMonitoring metadata: name: psm-grpc-client-gmp spec: selector: matchLabels: app: psm-grpc-client endpoints: - port: 9464 interval: 10s EOF
Dopo aver disegnato la risorsa
PodMonitoring
, ognilocalhost:9464/metrics
del pod corrispondente verrà sottoposto a scansione ogni 10 secondi ed esporterà i risultati in Cloud Monitoring.
Per visualizzare le metriche in Cloud Monitoring, svolgi i seguenti passaggi:
Puoi andare alla sezione Metrics Explorer della console Google Cloud, selezionare Destinazione Prometheus > Grpc per trovare le metriche.
Verifica la configurazione del mesh di servizi gRPC proxyless e l'osservabilità del mesh
Controlla l'output delle metriche dal pod del client:
kubectl exec $(kubectl get po | grep psm-grpc-client | awk '{print $1;}') -- /usr/bin/curl -s http://localhost:9464/metrics
L'output mostra le metriche (con le etichette mesh di servizi) che sono state annotate dall'endpoint:
Defaulted container "psm-grpc-client" out of: psm-grpc-client, grpc-td-init (init) # HELP exposer_transferred_bytes_total Transferred bytes to metrics services # TYPE exposer_transferred_bytes_total counter exposer_transferred_bytes_total 36047 # HELP exposer_scrapes_total Number of times metrics were scraped # TYPE exposer_scrapes_total counter exposer_scrapes_total 1 # HELP exposer_request_latencies Latencies of serving scrape requests, in microseconds # TYPE exposer_request_latencies summary exposer_request_latencies_count 1 exposer_request_latencies_sum 1246 exposer_request_latencies{quantile="0.5"} Nan exposer_request_latencies{quantile="0.9"} Nan exposer_request_latencies{quantile="0.99"} Nan # HELP grpc_client_attempt_rcvd_total_compressed_message_size_By Compressed message bytes received per call attempt # TYPE grpc_client_attempt_rcvd_total_compressed_message_size_By histogram grpc_client_attempt_rcvd_total_compressed_message_size_By_count{csm_mesh_id="gsmmesh-35av-my-cluster-3-us-east7-c-35av6nnbi9jz",csm_remote_workload_canonical_service="unknown",csm_remote_workload_cluster_name="my-cluster-3",csm_remote_workload_location="us-east7-c",csm_remote_workload_name="psm-grpc-server",csm_remote_workload_namespace_name="default",csm_remote_workload_project_id="grpc-testing",csm_remote_workload_type="gcp_kubernetes_engine",csm_workload_canonical_service="unknown",grpc_method="helloworld.Greeter/SayHello",grpc_status="OK",grpc_target="xds:///helloworld.default.svc.cluster.local:50051"} 114 1695445356167 ...
Controlla l'output delle metriche dal server:
kubectl exec $(kubectl get po | grep psm-grpc-server | awk '{print $1;}' | head -n 1) -- /usr/bin/curl -s http://localhost:9464/metrics
L'output mostra le metriche (con le etichette mesh di servizi) che sono state annotate dall'endpoint:
Defaulted container "psm-grpc-server" out of: psm-grpc-server, grpc-td-init (init) # HELP exposer_transferred_bytes_total Transferred bytes to metrics services # TYPE exposer_transferred_bytes_total counter exposer_transferred_bytes_total 35945 # HELP exposer_scrapes_total Number of times metrics were scraped # TYPE exposer_scrapes_total counter exposer_scrapes_total 1 # HELP exposer_request_latencies Latencies of serving scrape requests, in microseconds # TYPE exposer_request_latencies summary exposer_request_latencies_count 1 exposer_request_latencies_sum 2369 exposer_request_latencies{quantile="0.5"} Nan exposer_request_latencies{quantile="0.9"} Nan exposer_request_latencies{quantile="0.99"} Nan # HELP target Target metadata # TYPE target gauge target_info{otel_scope_name="grpc-c++",otel_scope_version="1.62.0-dev",service_name="unknown_service",k8s_pod_name="psm-grpc-server-6f75c8f857-qst5k",k8s_namespace_name="default",k8s_container_name="$(CONTAINER_NAME)",telemetry_sdk_version="1.13.0",telemetry_sdk_name="opentelemetry",telemetry_sdk_language="cpp"} 1 1708157423871 # HELP grpc_server_call_sent_total_compressed_message_size_bytes Compressed message bytes sent per server call # TYPE grpc_server_call_sent_total_compressed_message_size_bytes histogram grpc_server_call_sent_total_compressed_message_size_bytes_count{csm_mesh_id="gsmmesh-fogj-my-cluster-us-central1-a-fogjnvmqo8fn",csm_remote_workload_canonical_service="unknown",csm_remote_workload_cluster_name="my-cluster",csm_remote_workload_location="us-central1-a",csm_remote_workload_name="test-workload-name",csm_remote_workload_namespace_name="default",csm_remote_workload_project_id="project-id",csm_remote_workload_type="gcp_kubernetes_engine",csm_workload_canonical_service="unknown",grpc_method="helloworld.Greeter/SayHello",grpc_status="OK",otel_scope_name="grpc-c++",otel_scope_version="1.62.0-dev"} 1796 1708157423871 …
Risolvere i problemi di osservabilità di Cloud Service Mesh
Questa sezione mostra come risolvere i problemi più comuni.
Un valore dell'attributo nella metrica viene visualizzato come sconosciuto
Se un valore dell'attributo nella metrica viene visualizzato come sconosciuto, assicurati che tutti i file binari coinvolti (sia client che server) siano configurati un mesh di servizi gRPC senza proxy su GKE.
Tieni presente che l'osservabilità di Cloud Service Mesh determina le informazioni topologiche del mesh tramite le etichette dell'ambiente. Assicurati che le specifiche del pod o del servizio sia per il client sia per il servizio specifichino tutte le etichette come descritto nell'esempio.
Descrivi il deployment di psm-grpc-server:
kubectl describe Deployment psm-grpc-server | grep "psm-grpc-server:" -A 12
L'output è simile al seguente:
psm-grpc-server: Image: grpc/csm-example-server:2024-02-13 Port: 50051/TCP Host Port: 0/TCP Args: --port=50051 Environment: GRPC_XDS_BOOTSTRAP: /tmp/grpc-xds/td-grpc-bootstrap.json POD_NAME: (v1:metadata.name) NAMESPACE_NAME: (v1:metadata.namespace) CSM_WORKLOAD_NAME: psm-grpc-server OTEL_RESOURCE_ATTRIBUTES: k8s.pod.name=$(POD_NAME),k8s.namespace.name=$(NAMESPACE_NAME),k8s.container.name=$(CONTAINER_NAME)
Descrivi il deployment di psm-grpc-client:
kubectl describe Deployment psm-grpc-client | grep "psm-grpc-client:" -A 12
L'output è simile al seguente:
psm-grpc-client: Image: grpc/csm-example-client:2024-02-13 Port: <none> Host Port: <none> Args: --target=xds:///helloworld.default.svc.cluster.local:50051 Environment: GRPC_XDS_BOOTSTRAP: /tmp/grpc-xds/td-grpc-bootstrap.json CSM_WORKLOAD_NAME: test-workload-name POD_NAME: (v1:metadata.name) NAMESPACE_NAME: (v1:metadata.namespace) CONTAINER_NAME: psm-grpc-client
Le metriche non vengono visualizzate
Se utilizzi l'esportatore Prometheus, verifica che l'URL dell'esportatore Prometheus sia configurato come previsto.
Assicurati che i canali gRPC siano abilitati per Cloud Service Mesh. I canali devono avere un target del tipo xds:///
. I server gRPC sono sempre abilitati per Cloud Service Mesh.