This tutorial shows how to use Cloud Service Mesh egress gateways and other Google Cloud controls to secure outbound traffic (egress) from workloads deployed on a Google Kubernetes Engine cluster. The tutorial is intended as a companion to the Best Practices for using Cloud Service Mesh egress gateways on GKE clusters.
The intended audience for this tutorial includes network, platform, and security engineers who administer Google Kubernetes Engine clusters used by one or more software delivery teams. The controls described here are especially useful for organizations that must demonstrate compliance with regulations—for example, GDPR and PCI.
Objectives
- Set up the infrastructure for running Cloud Service Mesh:
- Custom VPC network and private subnet
- Cloud NAT for internet access
- Private GKE cluster with an extra node pool for egress gateway pods
- Restrictive egress VPC firewall rules; only gateway nodes can reach external hosts
- Private Google Access for connecting to Container Registry and Google APIs
- Install Cloud Service Mesh.
- Install egress gateway proxies running on a dedicated node pool.
- Configure multi-tenant routing rules for external traffic through the
egress gateway:
- Applications in namespace
team-x
can connect toexample.com
- Applications in namespace
team-y
can connect tohttpbin.org
- Applications in namespace
- Use the
Sidecar
resource to restrict the scope of the sidecar proxy egress configuration for each namespace. - Configure authorization policies to enforce egress rules.
- Configure the egress gateway to upgrade plain HTTP requests to TLS (TLS origination).
- Configure the egress gateway to pass-through TLS traffic.
- Set up Kubernetes network policies as an additional egress control.
- Configure direct access to Google APIs using Private Google Access and Identity and Access Management (IAM) permissions.
Costs
In this document, you use the following billable components of Google Cloud:
- Compute Engine
- Google Kubernetes Engine (GKE)
- Container Registry
- Cloud Service Mesh
- Cloud Load Balancing
- Cloud NAT
- Networking
- Cloud Storage
To generate a cost estimate based on your projected usage,
use the pricing calculator.
When you finish this tutorial, you can avoid ongoing costs by deleting the resources you created. For more information, see Cleaning up.
Before you begin
-
In the Google Cloud console, on the project selector page, select or create a Google Cloud project.
-
Make sure that billing is enabled for your Google Cloud project.
-
In the Google Cloud console, activate Cloud Shell.
Create a working directory to use while following the tutorial:
mkdir -p ~/WORKING_DIRECTORY cd ~/WORKING_DIRECTORY
Create a shell script to initialize your environment for the tutorial. Replace and edit the variables according to your project and preferences. Run this script with the
source
command to reinitialize your environment if your shell session expires:cat << 'EOF' > ./init-egress-tutorial.sh #! /usr/bin/env bash PROJECT_ID=YOUR_PROJECT_ID REGION=REGION ZONE=ZONE gcloud config set project ${PROJECT_ID} gcloud config set compute/region ${REGION} gcloud config set compute/zone ${ZONE} EOF
Enable
compute.googleapis.com
:gcloud services enable compute.googleapis.com --project=YOUR_PROJECT_ID
Make the script executable and run it with the
source
command to initialize your environment. SelectY
if prompted to enablecompute.googleapis.com
:chmod +x ./init-egress-tutorial.sh source ./init-egress-tutorial.sh
Setting up the infrastructure
Create a VPC network and subnet
Create a new VPC network:
gcloud compute networks create vpc-network \ --subnet-mode custom
Create a subnet for the cluster to run in with pre-assigned secondary IP address ranges for Pods and services. Private Google Access is enabled so that applications with only internal IP addresses can reach Google APIs and services:
gcloud compute networks subnets create subnet-gke \ --network vpc-network \ --range 10.0.0.0/24 \ --secondary-range pods=10.1.0.0/16,services=10.2.0.0/20 \ --enable-private-ip-google-access
Configure Cloud NAT
Cloud NAT allows workloads without external IP addresses to connect to destinations on the internet and receive inbound responses from those destinations.
Create a Cloud Router:
gcloud compute routers create nat-router \ --network vpc-network
Add a NAT configuration to the router:
gcloud compute routers nats create nat-config \ --router nat-router \ --nat-all-subnet-ip-ranges \ --auto-allocate-nat-external-ips
Create service accounts for each GKE node pool
Create two service accounts for use by the two GKE node pools. A separate service account is assigned to each node pool so that you can apply VPC firewall rules to specific nodes.
Create a service account for use by the nodes in the default node pool:
gcloud iam service-accounts create sa-application-nodes \ --description="SA for application nodes" \ --display-name="sa-application-nodes"
Create a service account for use by the nodes in the gateway node pool:
gcloud iam service-accounts create sa-gateway-nodes \ --description="SA for gateway nodes" \ --display-name="sa-gateway-nodes"
Grant permissions to the service accounts
Add a minimal set of IAM roles to the application and gateway service accounts. These roles are required for logging, monitoring, and pulling private container images from Container Registry.
project_roles=(
roles/logging.logWriter
roles/monitoring.metricWriter
roles/monitoring.viewer
roles/storage.objectViewer
)
for role in "${project_roles[@]}"
do
gcloud projects add-iam-policy-binding ${PROJECT_ID} \
--member="serviceAccount:sa-application-nodes@${PROJECT_ID}.iam.gserviceaccount.com" \
--role="$role"
gcloud projects add-iam-policy-binding ${PROJECT_ID} \
--member="serviceAccount:sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com" \
--role="$role"
done
Creating the firewall rules
In the following steps, you apply a firewall rule to the VPC network so that, by default, all egress traffic is denied. Specific connectivity is required for the cluster to function and for gateway nodes to be able to reach destinations outside of the VPC. A minimal set of specific firewall rules overrides the default deny-all rule to allow the necessary connectivity.
Create a default (low priority) firewall rule to deny all egress from the VPC network:
gcloud compute firewall-rules create global-deny-egress-all \ --action DENY \ --direction EGRESS \ --rules all \ --destination-ranges 0.0.0.0/0 \ --network vpc-network \ --priority 65535 \ --description "Default rule to deny all egress from the network."
Create a rule to allow only those nodes with the gateway service account to reach the internet:
gcloud compute firewall-rules create gateway-allow-egress-web \ --action ALLOW \ --direction EGRESS \ --rules tcp:80,tcp:443 \ --target-service-accounts sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com \ --network vpc-network \ --priority 1000 \ --description "Allow the nodes running the egress gateways to connect to the web"
Allow nodes to the reach the Kubernetes control plane:
gcloud compute firewall-rules create allow-egress-to-api-server \ --action ALLOW \ --direction EGRESS \ --rules tcp:443,tcp:10250 \ --target-service-accounts sa-application-nodes@${PROJECT_ID}.iam.gserviceaccount.com,sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com \ --destination-ranges 10.5.0.0/28 \ --network vpc-network \ --priority 1000 \ --description "Allow nodes to reach the Kubernetes API server."
Optional: This firewall rule is not needed if you use Managed Cloud Service Mesh.
Cloud Service Mesh uses webhooks when injecting sidecar proxies into workloads. Allow the GKE API server to call the webhooks exposed by the service mesh control plane running on the nodes:
gcloud compute firewall-rules create allow-ingress-api-server-to-webhook \ --action ALLOW \ --direction INGRESS \ --rules tcp:15017 \ --target-service-accounts sa-application-nodes@${PROJECT_ID}.iam.gserviceaccount.com,sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com \ --source-ranges 10.5.0.0/28 \ --network vpc-network \ --priority 1000 \ --description "Allow the API server to call the webhooks exposed by istiod discovery"
Allow egress connectivity between Nodes and Pods running on the cluster. GKE automatically creates a corresponding ingress rule. No rule is required for Service connectivity because the iptables routing chain always converts Service IP addresses to Pod IP addresses.
gcloud compute firewall-rules create allow-egress-nodes-and-pods \ --action ALLOW \ --direction EGRESS \ --rules all \ --target-service-accounts sa-application-nodes@${PROJECT_ID}.iam.gserviceaccount.com,sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com \ --destination-ranges 10.0.0.0/24,10.1.0.0/16 \ --network vpc-network \ --priority 1000 \ --description "Allow egress to other Nodes and Pods"
Allow access to the reserved sets of IP addresses used by Private Google Access for serving Google APIs, Container Registry, and other services:
gcloud compute firewall-rules create allow-egress-gcp-apis \ --action ALLOW \ --direction EGRESS \ --rules tcp \ --target-service-accounts sa-application-nodes@${PROJECT_ID}.iam.gserviceaccount.com,sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com \ --destination-ranges 199.36.153.8/30 \ --network vpc-network \ --priority 1000 \ --description "Allow access to the VIPs used by Google Cloud APIs (Private Google Access)"
Allow the Google Cloud health checker service to access pods running in the cluster. See health checks: for more information.
gcloud compute firewall-rules create allow-ingress-gcp-health-checker \ --action ALLOW \ --direction INGRESS \ --rules tcp:80,tcp:443 \ --target-service-accounts sa-application-nodes@${PROJECT_ID}.iam.gserviceaccount.com,sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com \ --source-ranges 35.191.0.0/16,130.211.0.0/22,209.85.152.0/22,209.85.204.0/22 \ --network vpc-network \ --priority 1000 \ --description "Allow workloads to respond to Google Cloud health checks"
Configuring private access to Google Cloud APIs
Private Google Access enables VMs and Pods that only have internal IP addresses to access Google APIs and services. Although Google APIs and services are served from external IPs, traffic from the nodes never leaves the Google network when using Private Google Access.
Enable the Cloud DNS API:
gcloud services enable dns.googleapis.com
Create a private DNS zone, a CNAME
, and A
records so that nodes and
workloads can connect to Google APIs and services using
Private Google Access and the private.googleapis.com
hostname:
gcloud dns managed-zones create private-google-apis \
--description "Private DNS zone for Google APIs" \
--dns-name googleapis.com \
--visibility private \
--networks vpc-network
gcloud dns record-sets transaction start --zone private-google-apis
gcloud dns record-sets transaction add private.googleapis.com. \
--name "*.googleapis.com" \
--ttl 300 \
--type CNAME \
--zone private-google-apis
gcloud dns record-sets transaction add "199.36.153.8" \
"199.36.153.9" "199.36.153.10" "199.36.153.11" \
--name private.googleapis.com \
--ttl 300 \
--type A \
--zone private-google-apis
gcloud dns record-sets transaction execute --zone private-google-apis
Configuring private access to Container Registry
Create a private DNS zone, a CNAME
and an A
record so that nodes can
connect to Container Registry using Private Google Access and the
gcr.io
hostname:
gcloud dns managed-zones create private-gcr-io \
--description "private zone for Container Registry" \
--dns-name gcr.io \
--visibility private \
--networks vpc-network
gcloud dns record-sets transaction start --zone private-gcr-io
gcloud dns record-sets transaction add gcr.io. \
--name "*.gcr.io" \
--ttl 300 \
--type CNAME \
--zone private-gcr-io
gcloud dns record-sets transaction add "199.36.153.8" "199.36.153.9" "199.36.153.10" "199.36.153.11" \
--name gcr.io \
--ttl 300 \
--type A \
--zone private-gcr-io
gcloud dns record-sets transaction execute --zone private-gcr-io
Create a private GKE cluster
Find the external IP address of your Cloud Shell so that you can add it to the list of networks that are allowed to access your cluster's API server:
SHELL_IP=$(dig TXT -4 +short @ns1.google.com o-o.myaddr.l.google.com)
After a period of inactivity, the external IP address of your Cloud Shell VM can change. If that happens, you must update your cluster's list of authorized networks. Add the following command to your initialization script:
cat << 'EOF' >> ./init-egress-tutorial.sh SHELL_IP=$(dig TXT -4 +short @ns1.google.com o-o.myaddr.l.google.com) gcloud container clusters update cluster1 \ --enable-master-authorized-networks \ --master-authorized-networks ${SHELL_IP//\"}/32 EOF
Enable the Google Kubernetes Engine API:
gcloud services enable container.googleapis.com
Create a private GKE cluster:
gcloud container clusters create cluster1 \ --enable-ip-alias \ --enable-private-nodes \ --release-channel "regular" \ --enable-master-authorized-networks \ --master-authorized-networks ${SHELL_IP//\"}/32 \ --master-ipv4-cidr 10.5.0.0/28 \ --enable-dataplane-v2 \ --service-account "sa-application-nodes@${PROJECT_ID}.iam.gserviceaccount.com" \ --machine-type "e2-standard-4" \ --network "vpc-network" \ --subnetwork "subnet-gke" \ --cluster-secondary-range-name "pods" \ --services-secondary-range-name "services" \ --workload-pool "${PROJECT_ID}.svc.id.goog" \ --zone ${ZONE}
It takes a few minutes for the cluster to be created. The cluster has private nodes with internal IP addresses. Pods and services are assigned IPs from the named secondary ranges that you defined when creating the VPC subnet.
Cloud Service Mesh with an in-cluster control plane requires the cluster nodes to use a machine type that has at least 4 vCPUs.
Google recommends that the cluster be subscribed to the "regular" release channel to ensure that nodes are running a Kubernetes version that is supported by Cloud Service Mesh.
For more information on the prerequisites for running Cloud Service Mesh with an in-cluster control plane, see the in-cluster prerequisites.
For more information on the requirements and limitations for running managed Cloud Service Mesh see the managed Cloud Service Mesh supported features.
Workload Identity Federation for GKE is enabled on the cluster. Cloud Service Mesh requires Workload Identity Federation for GKE and is the recommended way to access Google APIs from GKE workloads.
Create a node pool called gateway. This node pool is where the egress gateway is deployed. The
dedicated=gateway:NoSchedule
taint is added to every node in the gateway node pool.gcloud container node-pools create "gateway" \ --cluster "cluster1" \ --machine-type "e2-standard-4" \ --node-taints dedicated=gateway:NoSchedule \ --service-account "sa-gateway-nodes@${PROJECT_ID}.iam.gserviceaccount.com" \ --num-nodes "1"
Kubernetes taints and tolerations help ensure that only egress gateway Pods run on nodes in the gateway node pool.
Download credentials so that you can connect to the cluster with kubectl:
gcloud container clusters get-credentials cluster1
Verify that the gateway nodes have the correct taint:
kubectl get nodes -l cloud.google.com/gke-nodepool=gateway -o yaml \ -o=custom-columns='name:metadata.name,taints:spec.taints[?(@.key=="dedicated")]'
The output is similar to the following:
name taints gke-cluster1-gateway-9d65b410-cffs map[effect:NoSchedule key:dedicated value:gateway]
Installing and setting up Cloud Service Mesh
Follow one of the installation guides for Cloud Service Mesh:
Once you have installed Cloud Service Mesh, stop and return to this tutorial without installing ingress or egress gateways.
Install an egress gateway
Create a Kubernetes namespace for the egress gateway:
kubectl create namespace istio-egress
When you deploy the egress gateway, the configuration will be automatically injected based on a label you apply to the deployment or namespace. If the default tag is set up, you label your namespace with the default injection labels , otherwise you use the revision label for the control plane that you have installed. The revision label that you add also depends on whether you deployed managed Cloud Service Mesh or installed the in-cluster control plane.
Select the tab below according to your installation type (either managed or in-cluster).
Managed
Use the following command to locate the available control plane revisions:
kubectl -n istio-system get controlplanerevision
The output is similar to the following:
NAME RECONCILED STALLED AGE asm-managed True False 112m
Take a note of the value in the
NAME
column for the control plane revision that you would like to use. Typically your Cloud Service Mesh release channel corresponds to the release channel of your Google Kubernetes Engine cluster.In-cluster
For in-cluster control planes, the
istiod
Service and Deployment typically have a revision label similar toistio.io/rev=
, whereidentifies the Cloud Service Mesh version. The revision becomes part of the
istiod
Service name, for example:istiod-.istio-system
Use the following command to locate the revision label on
istiod
for the in-cluster control plane:kubectl get deploy -n istio-system -l app=istiod \ -o=jsonpath='{.items[*].metadata.labels.istio\.io\/rev}''{"\n"}'
Optional: Label the namespace so that the gateway configuration will be automatically injected. It is sufficient to label either the namespace or the deployment. For the purposes of this tutorial you label both to avoid warnings from the
istioctl analyze
tool.kubectl label namespace istio-egress istio.io/rev=REVISION
Create an operator manifest for the egress gateway:
cat << EOF > egressgateway-operator.yaml apiVersion: install.istio.io/v1alpha1 kind: IstioOperator metadata: name: egressgateway-operator annotations: config.kubernetes.io/local-config: "true" spec: profile: empty revision: REVISION components: egressGateways: - name: istio-egressgateway namespace: istio-egress enabled: true values: gateways: istio-egressgateway: injectionTemplate: gateway tolerations: - key: "dedicated" operator: "Equal" value: "gateway" nodeSelector: cloud.google.com/gke-nodepool: "gateway" EOF
Download the
istioctl
tool. You must use version 1.16.2-asm.2 or newer even if you are using Cloud Service Mesh version 1.15 or lower. See Downloading the correct istioctl version.After extracting the downloaded archive, set an environment variable to hold the path to the
istioctl
tool and add it to your initialization script:ISTIOCTL=$(find "$(pwd -P)" -name istioctl) echo "ISTIOCTL=\"${ISTIOCTL}\"" >> ./init-egress-tutorial.sh
Create the egress gateway installation manifest using the operator manifest and
istioctl
:${ISTIOCTL} manifest generate \ --filename egressgateway-operator.yaml \ --output egressgateway \ --cluster-specific
Install the egress gateway:
kubectl apply --recursive --filename egressgateway/
Check that the egress gateway is running on nodes in the
gateway
node pool:kubectl get pods -n istio-egress -o wide
The egress gateway pods have
affinity
for nodes in thegateway
node pool and a toleration that lets them run on the tainted gateway nodes. Examine the node affinity and tolerations for the egress gateway pods:kubectl -n istio-egress get pod -l istio=egressgateway \ -o=custom-columns='name:metadata.name,node-affinity:spec.affinity.nodeAffinity.requiredDuringSchedulingIgnoredDuringExecution.nodeSelectorTerms,tolerations:spec.tolerations[?(@.key=="dedicated")]'
The output is similar to the following:
name node-affinity tolerations istio-egressgateway-754d9684d5-jjkdz [map[matchExpressions:[map[key:cloud.google.com/gke-nodepool operator:In values:[gateway]]]]] map[key:dedicated operator:Equal value:gateway]
Enable Envoy access logging
The steps required to enable Envoy access logs depend on your Cloud Service Mesh type, either managed or in-cluster:
Managed
Follow the instructions to enable access logs in managed Cloud Service Mesh.
In-cluster
Follow the instructions to enable access logs in in-cluster Cloud Service Mesh.
Preparing the mesh and a test application
Make sure that STRICT mutual TLS is enabled. Apply a default
PeerAuthentication
policy for the mesh in theistio-system
namespace:cat <<EOF | kubectl apply -f - apiVersion: "security.istio.io/v1beta1" kind: "PeerAuthentication" metadata: name: "default" namespace: "istio-system" spec: mtls: mode: STRICT EOF
You can override this configuration by creating
PeerAuthentication
resources in specific namespaces.Create namespaces to use for deploying test workloads. Later steps in this tutorial explain how to configure different egress routing rules for each namespace.
kubectl create namespace team-x kubectl create namespace team-y
Label the namespaces so that they can be selected by Kubernetes network policies:
kubectl label namespace team-x team=x kubectl label namespace team-y team=y
For Cloud Service Mesh to automatically inject proxy sidecars, you set the control plane revision label on the workload namespaces:
kubectl label ns team-x istio.io/rev=REVISION kubectl label ns team-y istio.io/rev=REVISION
Create a YAML file to use for making test deployments:
cat << 'EOF' > ./test.yaml apiVersion: v1 kind: ServiceAccount metadata: name: test --- apiVersion: v1 kind: Service metadata: name: test labels: app: test spec: ports: - port: 80 name: http selector: app: test --- apiVersion: apps/v1 kind: Deployment metadata: name: test spec: replicas: 1 selector: matchLabels: app: test template: metadata: labels: app: test spec: serviceAccountName: test containers: - name: test image: gcr.io/google.com/cloudsdktool/cloud-sdk:slim command: ["/bin/sleep", "infinity"] imagePullPolicy: IfNotPresent EOF
Deploy the test application to the
team-x
namespace:kubectl -n team-x create -f ./test.yaml
Verify that the test application is deployed to a node in the default pool and that a proxy sidecar container is injected. Repeat the following command until the pod's status is
Running
:kubectl -n team-x get po -l app=test -o wide
The output is similar to the following:
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES test-d5bdf6f4f-9nxfv 2/2 Running 0 19h 10.1.1.25 gke-cluster1-default-pool-f6c7a51f-wbzj
2 out of 2 containers are
Running
. One container is the test application and the other is the proxy sidecar.The Pod is running on a node in the default node pool.
Verify that it is not possible to make an HTTP request from the test container to an external site:
kubectl -n team-x exec -it \ $(kubectl -n team-x get pod -l app=test -o jsonpath={.items..metadata.name}) \ -c test -- curl -v http://example.com
An error message from the sidecar proxy is generated because the
global-deny-egress-all
firewall rule denies the upstream connection.
Using the Sidecar resource to restrict the scope of sidecar proxy configuration
You can use the
Sidecar resource
to restrict the scope of the egress listener that is configured for sidecar
proxies. To reduce configuration bloat and memory usage, it's a good practice to
apply a default Sidecar
resource for every namespace.
The proxy that Cloud Service Mesh runs in the sidecar is Envoy. In
Envoy terminology,
a cluster
is a logically similar group of upstream endpoints used as
destinations for load balancing.
Inspect the outbound clusters configured in the Envoy sidecar proxy for the test pod by running the
istioctl proxy-config
command:${ISTIOCTL} pc c $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}).team-x --direction outbound
There are approximately 11 Envoy clusters in the list, including some for the egress gateway.
Restrict the proxy configuration to egress routes that have been explicitly defined with service entries in the egress and
team-x
namespaces. Apply aSidecar
resource to theteam-x
namespace:cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: Sidecar metadata: name: default namespace: team-x spec: outboundTrafficPolicy: mode: REGISTRY_ONLY egress: - hosts: - 'istio-egress/*' - 'team-x/*' EOF
Setting outbound traffic policy mode to
REGISTRY_ONLY
restricts the proxy configuration to include only those external hosts that have been explicitly added to the mesh's service registry by defining service entries.Setting
egress.hosts
specifies that the sidecar proxy only selects routes from the egress namespace that are made available by using theexportTo
attribute. The 'team-x/*
' part includes any routes that have been configured locally in theteam-x
namespace.View the outbound clusters configured in the Envoy sidecar proxy, and compare them to the list of clusters that were configured before applying the
Sidecar
resource:${ISTIOCTL} pc c $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}).team-x --direction outbound
You see clusters for the egress gateway and one for the test pod itself.
Configuring Cloud Service Mesh to route traffic through the egress gateway
Configure a
Gateway
for HTTP traffic on port 80. TheGateway
selects the egress gateway proxy that you deployed to the egress namespace. TheGateway
configuration is applied to the egress namespace and handles traffic for any host.cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: Gateway metadata: name: egress-gateway namespace: istio-egress spec: selector: istio: egressgateway servers: - port: number: 80 name: https protocol: HTTPS hosts: - '*' tls: mode: ISTIO_MUTUAL EOF
Create a
DestinationRule
for the egress gateway with mutual TLS for authentication and encryption. Use a single shared destination rule for all external hosts.cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: DestinationRule metadata: name: target-egress-gateway namespace: istio-egress spec: host: istio-egressgateway.istio-egress.svc.cluster.local subsets: - name: target-egress-gateway-mTLS trafficPolicy: tls: mode: ISTIO_MUTUAL EOF
Create a
ServiceEntry
in the egress namespace to explicitly register example.com in the mesh's service registry for theteam-x
namespace:cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: ServiceEntry metadata: name: example-com-ext namespace: istio-egress labels: # Show this service and its telemetry in the Cloud Service Mesh page of the Google Cloud console service.istio.io/canonical-name: example.com spec: hosts: - example.com ports: - number: 80 name: http protocol: HTTP - number: 443 name: tls protocol: TLS resolution: DNS location: MESH_EXTERNAL exportTo: - 'team-x' - 'istio-egress' EOF
Create a
VirtualService
to route traffic to example.com through the egress gateway. There are two match conditions: the first condition directs traffic to the egress gateway, and the second directs traffic from the egress gateway to the destination host. TheexportTo
property controls which namespaces can use the virtual service.cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: VirtualService metadata: name: example-com-through-egress-gateway namespace: istio-egress spec: hosts: - example.com gateways: - istio-egress/egress-gateway - mesh http: - match: - gateways: - mesh port: 80 route: - destination: host: istio-egressgateway.istio-egress.svc.cluster.local subset: target-egress-gateway-mTLS port: number: 80 weight: 100 - match: - gateways: - istio-egress/egress-gateway port: 80 route: - destination: host: example.com port: number: 80 weight: 100 exportTo: - 'istio-egress' - 'team-x' EOF
Run
istioctl analyze
to check for configuration errors:${ISTIOCTL} analyze -n istio-egress --revision REVISION
The output is similar to the following:
✔ No validation issues found when analyzing namespace: istio-egress.
Send several requests through the egress gateway to the external site:
for i in {1..4} do kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- \ curl -s -o /dev/null -w "%{http_code}\n" http://example.com done
You see
200
status codes for all four responses.Verify that the requests were directed through the egress gateway by checking the proxy access logs. First check the access log for the proxy sidecar deployed with the test application:
kubectl -n team-x logs -f $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) istio-proxy
For each request you send, you see a log entry similar to the following:
[2020-09-14T17:37:08.045Z] "HEAD / HTTP/1.1" 200 - "-" "-" 0 0 5 4 "-" "curl/7.67.0" "d57ea5ad-90e9-46d9-8b55-8e6e404a8f9b" "example.com" "10.1.4.12:8080" outbound|80||istio-egressgateway.istio-egress.svc.cluster.local 10.1.0.17:42140 93.184.216.34:80 10.1.0.17:60326 - -
Also check the egress gateway access log:
kubectl -n istio-egress logs -f $(kubectl -n istio-egress get pod -l istio=egressgateway \ -o jsonpath="{.items[0].metadata.name}") istio-proxy
For each request you send, you see an egress gateway access log entry similar to the following:
[2020-09-14T17:37:08.045Z] "HEAD / HTTP/2" 200 - "-" "-" 0 0 4 3 "10.1.0.17" "curl/7.67.0" "095711e6-64ef-4de0-983e-59158e3c55e7" "example.com" "93.184.216.34:80" outbound|80||example.com 10.1.4.12:37636 10.1.4.12:8080 10.1.0.17:44404 outbound_.80_.target-egress-gateway-mTLS_.istio-egressgateway.istio-egress.svc.cluster.local -
Configure different routing for a second namespace
Configure routing for a second external host to learn how different external connectivity can be configured for different teams.
Create a
Sidecar
resource for theteam-y
namespace:cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: Sidecar metadata: name: default namespace: team-y spec: outboundTrafficPolicy: mode: REGISTRY_ONLY egress: - hosts: - 'istio-egress/*' - 'team-y/*' EOF
Deploy the test application to the
team-y
namespace:kubectl -n team-y create -f ./test.yaml
Register a second external host and export it to the
team-x
and theteam-y
namespace:cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: ServiceEntry metadata: name: httpbin-org-ext namespace: istio-egress labels: # Show this service and its telemetry in the Cloud Service Mesh page of the Google Cloud console service.istio.io/canonical-name: httpbin.org spec: hosts: - httpbin.org ports: - number: 80 name: http protocol: HTTP - number: 443 name: tls protocol: TLS resolution: DNS location: MESH_EXTERNAL exportTo: - 'istio-egress' - 'team-x' - 'team-y' EOF
Create a virtual service to route traffic to httpbin.org through the egress gateway:
cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: VirtualService metadata: name: httpbin-org-through-egress-gateway namespace: istio-egress spec: hosts: - httpbin.org gateways: - istio-egress/egress-gateway - mesh http: - match: - gateways: - mesh port: 80 route: - destination: host: istio-egressgateway.istio-egress.svc.cluster.local subset: target-egress-gateway-mTLS port: number: 80 weight: 100 - match: - gateways: - istio-egress/egress-gateway port: 80 route: - destination: host: httpbin.org port: number: 80 weight: 100 exportTo: - 'istio-egress' - 'team-x' - 'team-y' EOF
Run
istioctl analyze
to check for configuration errors:${ISTIOCTL} analyze -n istio-egress --revision REVISION
You see:
✔ No validation issues found when analyzing namespace: istio-egress.
Make a request to httpbin.org from the
team-y
test app:kubectl -n team-y exec -it $(kubectl -n team-y get pod -l app=test -o \ jsonpath={.items..metadata.name}) -c test -- curl -I http://httpbin.org
You see a
200 OK
response.Also make a request to httpbin.org from the
team-x
test app:kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -I http://httpbin.org
You see a
200 OK
response.Attempt to make a request to example.com from the
team-y
namespace:kubectl -n team-y exec -it $(kubectl -n team-y get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -I http://example.com
The request fails because there is no outbound route configured for the
example.com
host.
Using Authorization Policy to provide additional control over traffic
In this tutorial, authorization policies for the egress gateway are created in
the istio-egress
namespace. You can configure Kubernetes RBAC so that only
network administrators can access the istio-egress
namespace.
Create an
AuthorizationPolicy
so that applications in theteam-x
namespace can connect to example.com but not to other external hosts when sending requests using port 80. The correspondingtargetPort
on the egress gateway pods is 8080.cat <<EOF | kubectl apply -f - apiVersion: security.istio.io/v1beta1 kind: AuthorizationPolicy metadata: name: egress-team-x-to-example-com namespace: istio-egress spec: action: ALLOW rules: - from: - source: namespaces: - 'team-x' to: - operation: hosts: - 'example.com' when: - key: destination.port values: ["8080"] EOF
Verify that you can make a request to example.com from the test application in the
team-x
namespace:kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -I http://example.com
You see a
200 OK
response.Try to make a request to httpbin.org from the test application in the
team-x
namespace:kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -s -w " %{http_code}\n" \ http://httpbin.org
The request fails with an
RBAC: access denied
message and a 403 Forbidden status code. You may need to wait a few seconds because there is often a short delay before authorization policy takes effect.Authorization policies provide rich control over which traffic is allowed or denied. Apply the following authorization policy to allow the test app in the
team-y
namespace to make requests to httpbin.org by using one particular URL path when sending requests using port 80. The correspondingtargetPort
on the egress gateway pods is 8080.cat <<EOF | kubectl apply -f - apiVersion: security.istio.io/v1beta1 kind: AuthorizationPolicy metadata: name: egress-team-y-to-httpbin-teapot namespace: istio-egress spec: action: ALLOW rules: - from: - source: namespaces: - 'team-y' to: - operation: hosts: - httpbin.org paths: ['/status/418'] when: - key: destination.port values: ["8080"] EOF
Attempt to connect to httpbin.org from the test app in the
team-y
namespace:kubectl -n team-y exec -it $(kubectl -n team-y get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -s -w " %{http_code}\n" \ http://httpbin.org
The request fails with an RBAC: access denied message and a 403 Forbidden status code.
Now make a request to httpbin.org/status/418 from the same app:
kubectl -n team-y exec -it $(kubectl -n team-y get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl http://httpbin.org/status/418
The request succeeds because the path matches the pattern in the authorization policy. The output is similar to the following:
-=[ teapot ]=- _...._ .' _ _ `. | ."` ^ `". _, \_;`"---"`|// | ;/ \_ _/ `"""`
TLS origination at the egress gateway
You can configure egress gateways to upgrade
(originate) plain HTTP
requests to TLS or mutual TLS. Allowing applications to make plain HTTP requests
has several advantages when used with Istio mutual TLS and TLS origination. For
more information, see the best practices guide.
Create a
DestinationRule. The DestinationRule
specifies that the gateway originate a TLS connection to example.com.cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: DestinationRule metadata: name: example-com-originate-tls namespace: istio-egress spec: host: example.com subsets: - name: example-com-originate-TLS trafficPolicy: portLevelSettings: - port: number: 443 tls: mode: SIMPLE sni: example.com EOF
Update the virtual service for example.com so that requests to port 80 on the gateway are
upgraded
to TLS on port 443 when they are sent to the destination host:cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1alpha3 kind: VirtualService metadata: name: example-com-through-egress-gateway namespace: istio-egress spec: hosts: - example.com gateways: - mesh - istio-egress/egress-gateway http: - match: - gateways: - mesh port: 80 route: - destination: host: istio-egressgateway.istio-egress.svc.cluster.local subset: target-egress-gateway-mTLS port: number: 80 - match: - gateways: - istio-egress/egress-gateway port: 80 route: - destination: host: example.com port: number: 443 subset: example-com-originate-TLS weight: 100 EOF
Make several requests to example.com from the test app in the
team-x
namespace:for i in {1..4} do kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -I http://example.com done
As before, the requests succeed with
200 OK
responses.Check the egress gateway log to verify that the gateway routed the requests to the destination host by originating TLS connections:
kubectl -n istio-egress logs -f $(kubectl -n istio-egress get pod -l istio=egressgateway \ -o jsonpath=" {.items[0].metadata.name}") istio-proxy
The output is similar to the following:
[2020-09-24T17:58:02.548Z] "HEAD / HTTP/2" 200 - "-" "-" 0 0 6 5 "10.1.1.15" "curl/7.67.0" "83a77acb-d994-424d-83da-dd8eac902dc8" "example.com" "93.184.216.34:443" outbound|443|example-com-originate-TLS|example.com 10.1.4.31:49866 10.1.4.31:8080 10.1.1.15:37334 outbound_.80_.target-egress-gateway-mTLS_.istio-egressgateway.istio-egress.svc.cluster.local -
The proxy sidecar sent the request to the gateway using port 80 and TLS originated on port 443 to send the request to the destination host.
Pass-through of HTTPS/TLS connections
Your existing applications might already be using TLS connections when communicating with external services. You can configure the egress gateway to pass TLS connections through without decrypting them.
Modify your configuration so that the egress gateway uses TLS pass-through for connections to port 443:
cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: Gateway metadata: name: egress-gateway namespace: istio-egress spec: selector: istio: egressgateway servers: - port: number: 80 name: https protocol: HTTPS hosts: - '*' tls: mode: ISTIO_MUTUAL - port: number: 443 name: tls protocol: TLS hosts: - '*' tls: mode: PASSTHROUGH EOF
Update the
DestinationRule
pointing to the egress gateway to add a second subset for port 443 on the gateway. This new subset doesn't use mutual TLS. Istio mutual TLS is not supported for pass-through of TLS connections. Connections on port 80 still use mTLS:cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1alpha3 kind: DestinationRule metadata: name: target-egress-gateway namespace: istio-egress spec: host: istio-egressgateway.istio-egress.svc.cluster.local subsets: - name: target-egress-gateway-mTLS trafficPolicy: portLevelSettings: - port: number: 80 tls: mode: ISTIO_MUTUAL - name: target-egress-gateway-TLS-passthrough EOF
Update the virtual service for example.com so that TLS traffic on port 443 is passed through the gateway:
cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1alpha3 kind: VirtualService metadata: name: example-com-through-egress-gateway namespace: istio-egress spec: hosts: - example.com gateways: - mesh - istio-egress/egress-gateway http: - match: - gateways: - mesh port: 80 route: - destination: host: istio-egressgateway.istio-egress.svc.cluster.local subset: target-egress-gateway-mTLS port: number: 80 - match: - gateways: - istio-egress/egress-gateway port: 80 route: - destination: host: example.com port: number: 443 subset: example-com-originate-TLS weight: 100 tls: - match: - gateways: - mesh port: 443 sniHosts: - example.com route: - destination: host: istio-egressgateway.istio-egress.svc.cluster.local subset: target-egress-gateway-TLS-passthrough port: number: 443 - match: - gateways: - istio-egress/egress-gateway port: 443 sniHosts: - example.com route: - destination: host: example.com port: number: 443 weight: 100 exportTo: - 'istio-egress' - 'team-x' EOF
Update the virtual service for httpbin.org so that TLS traffic on port 443 is passed through the gateway:
cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: VirtualService metadata: name: httpbin-org-through-egress-gateway namespace: istio-egress spec: hosts: - httpbin.org gateways: - istio-egress/egress-gateway - mesh http: - match: - gateways: - mesh port: 80 route: - destination: host: istio-egressgateway.istio-egress.svc.cluster.local subset: target-egress-gateway-mTLS port: number: 80 weight: 100 - match: - gateways: - istio-egress/egress-gateway port: 80 route: - destination: host: httpbin.org port: number: 80 weight: 100 tls: - match: - gateways: - mesh port: 443 sniHosts: - httpbin.org route: - destination: host: istio-egressgateway.istio-egress.svc.cluster.local subset: target-egress-gateway-TLS-passthrough port: number: 443 - match: - gateways: - istio-egress/egress-gateway port: 443 sniHosts: - httpbin.org route: - destination: host: httpbin.org port: number: 443 weight: 100 exportTo: - 'istio-egress' - 'team-x' - 'team-y' EOF
Add an authorization policy that accepts any kind of traffic sent to port 443 of the egress gateway service. The corresponding
targetPort
on the gateway pods is 8443.cat <<EOF | kubectl apply -f - apiVersion: security.istio.io/v1beta1 kind: AuthorizationPolicy metadata: name: egress-all-443 namespace: istio-egress spec: action: ALLOW rules: - when: - key: destination.port values: ["8443"] EOF
Run
istioctl analyze
to check for configuration errors:${ISTIOCTL} analyze -n istio-egress --revision REVISION
You see:
✔ No validation issues found when analyzing namespace: istio-egress.
Make a plain HTTP request to example.com from the test application in the
team-x
namespace:kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -I http://example.com
The request succeeds with a
200 OK
response.Now make several TLS (HTTPS) requests from the test application in the
team-x
namespace:for i in {1..4} do kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -s -o /dev/null \ -w "%{http_code}\n" \ https://example.com done
You see 200 responses.
Look at the egress gateway log again:
kubectl -n istio-egress logs -f $(kubectl -n istio-egress get pod -l istio=egressgateway \ -o jsonpath="{.items[0].metadata.name}") istio-proxy
You see log entries similar to the following:
[2020-09-24T18:04:38.608Z] "- - -" 0 - "-" "-" 1363 5539 10 - "-" "-" "-" "-" "93.184.216.34:443" outbound|443||example.com 10.1.4.31:51098 10.1.4.31:8443 10.1.1.15:57030 example.com -
The HTTPS request has been treated as TCP traffic and passed through the gateway to the destination host, so no HTTP information is included in the log.
Using Kubernetes NetworkPolicy as an additional control
There are many scenarios in which an application can bypass a sidecar proxy.
You can use Kubernetes NetworkPolicy
to additionally specify which connections
workloads are allowed to make. After a single network policy is applied, all
connections that aren't specifically allowed are denied.
This tutorial only considers egress connections and egress selectors for
network policies. If you control ingress with network policies on your own
clusters, then you must create ingress policies to correspond to your egress
policies. For example, if you allow egress from workloads in the team-x
namespace to the team-y
namespace, you must also allow ingress to the team-y
namespace from the team-x
namespace.
Allow workloads and proxies deployed in the
team-x
namespace to connect toistiod
and the egress gateway:cat <<EOF | kubectl apply -f - apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: allow-egress-to-control-plane namespace: team-x spec: podSelector: {} policyTypes: - Egress egress: - to: - namespaceSelector: matchLabels: "kubernetes.io/metadata.name": istio-system podSelector: matchLabels: istio: istiod - namespaceSelector: matchLabels: "kubernetes.io/metadata.name": istio-egress podSelector: matchLabels: istio: egressgateway EOF
Allow workloads and proxies to query DNS:
cat <<EOF | kubectl apply -f - apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: allow-egress-to-dns namespace: team-x spec: podSelector: {} policyTypes: - Egress egress: - to: - namespaceSelector: matchLabels: "kubernetes.io/metadata.name": kube-system ports: - port: 53 protocol: UDP - port: 53 protocol: TCP EOF
Allow workloads and proxies to connect to the IPs that serve Google APIs and services, including Cloud Service Mesh certificate authority:
cat <<EOF | kubectl apply -f - apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: allow-egress-to-google-apis namespace: team-x spec: podSelector: {} policyTypes: - Egress egress: - to: - ipBlock: cidr: 199.36.153.4/30 - ipBlock: cidr: 199.36.153.8/30 EOF
Allow workloads and proxies to connect to the GKE metadata server:
cat <<EOF | kubectl apply -f - apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: allow-egress-to-metadata-server namespace: team-x spec: podSelector: {} policyTypes: - Egress egress: - to: # For GKE data plane v2 - ipBlock: cidr: 169.254.169.254/32 - to: # For GKE data plane v1 - ipBlock: cidr: 127.0.0.1/32 # Prior to 1.21.0-gke.1000 - ipBlock: cidr: 169.254.169.252/32 # 1.21.0-gke.1000 and later ports: - protocol: TCP port: 987 - protocol: TCP port: 988 EOF
Optional: Allow workloads and proxies in the
team-x
namespace to make connections to each other:cat <<EOF | kubectl apply -f - apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: allow-egress-to-same-namespace namespace: team-x spec: podSelector: {} ingress: - from: - podSelector: {} egress: - to: - podSelector: {} EOF
Optional: Allow workloads and proxies in the
team-x
namespace to make connections to workloads deployed by a different team:cat <<EOF | kubectl apply -f - apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: allow-egress-to-team-y namespace: team-x spec: podSelector: {} policyTypes: - Egress egress: - to: - namespaceSelector: matchLabels: "kubernetes.io/metadata.name": team-y EOF
Connections between sidecar proxies persist. Existing connections are not closed when you apply a new network policy. Restart the workloads in the team-x namespace to make sure existing connections are closed:
kubectl -n team-x rollout restart deployment
Verify that you can still make an HTTP request to example.com from the test application in the
team-x
namespace:kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- curl -I http://example.com
The request succeeds with a
200 OK
response.
Directly accessing Google APIs using Private Google Access and IAM permissions
Google's APIs and services are exposed using external IP addresses. When pods with VPC-native alias IP addresses make connections to Google APIs by using Private Google Access, the traffic never leaves Google's network.
When you set up the infrastructure for this tutorial, you enabled Private Google Access for the subnet used by GKE pods. To allow access to the IP addresses used by Private Google Access, you created a route, a VPC firewall rule, and a private DNS zone. This configuration lets pods reach Google APIs directly without sending traffic through the egress gateway. You can control which APIs are available to specific Kubernetes service accounts (and hence namespaces) by using Workload Identity Federation for GKE and IAM. Istio authorization doesn't take effect because the egress gateway is not handling connections to the Google APIs.
Before pods can call Google APIs, you must use IAM to grant permissions. The cluster you are using for this tutorial is configured to use Workload Identity Federation for GKE, which allows a Kubernetes service account to act as a Google service account.
Create a Google service account for your application to use:
gcloud iam service-accounts create sa-test-app-team-x
Allow the Kubernetes service account to impersonate the Google service account:
gcloud iam service-accounts add-iam-policy-binding \ --role roles/iam.workloadIdentityUser \ --member "serviceAccount:${PROJECT_ID}.svc.id.goog[team-x/test]" \ sa-test-app-team-x@${PROJECT_ID}.iam.gserviceaccount.com
Annotate the Kubernetes service account for the test app in the
team-x
namespace with the email address of the Google service account:cat <<EOF | kubectl apply -f - apiVersion: v1 kind: ServiceAccount metadata: annotations: iam.gke.io/gcp-service-account: sa-test-app-team-x@${PROJECT_ID}.iam.gserviceaccount.com name: test namespace: team-x EOF
The test application pod must be able to access the Google metadata server (running as a DaemonSet) to obtain temporary credentials for calling Google APIs. Create a service entry for the GKE metadata server:
cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: ServiceEntry metadata: name: metadata-google-internal namespace: istio-egress labels: # Show this service and its telemetry in the Cloud Service Mesh page of the Google Cloud console service.istio.io/canonical-name: metadata.google.internal spec: hosts: - metadata.google.internal ports: - number: 80 name: http protocol: HTTP - number: 443 name: tls protocol: TLS resolution: DNS location: MESH_EXTERNAL exportTo: - 'istio-egress' - 'team-x' EOF
Also create a service entry for private.googleapis.com and storage.googleapis.com:
cat <<EOF | kubectl apply -f - apiVersion: networking.istio.io/v1beta1 kind: ServiceEntry metadata: name: private-googleapis-com namespace: istio-egress labels: # Show this service and its telemetry in the Cloud Service Mesh page of the Google Cloud console service.istio.io/canonical-name: googleapis.com spec: hosts: - private.googleapis.com - storage.googleapis.com ports: - number: 80 name: http protocol: HTTP - number: 443 name: tls protocol: TLS resolution: DNS location: MESH_EXTERNAL exportTo: - 'istio-egress' - 'team-x' EOF
Verify that the Kubernetes service account is correctly configured to act as the Google service account:
kubectl -n team-x exec -it $(kubectl -n team-x get pod -l app=test \ -o jsonpath={.items..metadata.name}) -c test -- gcloud auth list
You see the Google service account listed as the active and only identity.
Create a test file in a Cloud Storage bucket:
echo "Hello, World!" > /tmp/hello gcloud storage buckets create gs://${PROJECT_ID}-bucket gcloud storage cp /tmp/hello gs://${PROJECT_ID}-bucket/
Grant permission for the service account to list and view files in the bucket:
gcloud storage buckets add-iam-policy-binding gs://${PROJECT_ID}-bucket/ \ --member=serviceAccount:sa-test-app-team-x@${PROJECT_ID}.iam.gserviceaccount.com \ --role=roles/storage.objectViewer
Verify that the test application can access the test bucket:
kubectl -n team-x exec -it \ $(kubectl -n team-x get pod -l app=test -o jsonpath={.items..metadata.name}) \ -c test \ -- gcloud storage cat gs://${PROJECT_ID}-bucket/hello
You see:
Hello, World!
Clean up
To avoid incurring charges to your Google Cloud account for the resources used in this tutorial, either delete the project that contains the resources, or keep the project and delete the individual resources.
To avoid incurring charges to your Google Cloud account for the resources used in this tutorial, complete the steps in the following sections.:
Delete the project
The easiest way to eliminate billing is to delete the project you created for
the tutorial.
- In the Google Cloud console, go to the Manage resources page.
- In the project list, select the project that you want to delete, and then click Delete.
- In the dialog, type the project ID, and then click Shut down to delete the project.
What's next
- Read the companion best practices guide.
- Consult the GKE hardening guide.
- Learn how to automate TLS certificate management for Cloud Service Mesh ingress gateway using CA Service.
- Learn about managing configuration and policy across all of your infrastructure with GKE Enterprise Configuration Management.
- For more reference architectures, diagrams, and best practices, explore the Cloud Architecture Center.