Secure, protect, and connect APIs with Kuadrant on OpenShift¶
Overview¶
This guide walks you through using Kuadrant on OpenShift to secure, protect, and connect an API exposed by a Gateway that is based on Kubernetes Gateway API. You can use this walkthrough for a Gateway deployed on a single OpenShift cluster or a Gateway distributed across multiple OpenShift clusters with a shared listener hostname. This guide shows how the platform engineer and application developer user roles can each use Kuadrant to achieve their goals.
What Kuadrant can do for you in a multicluster environment¶
You can leverage Kuadrant's capabilities in single or multiple clusters. The following features are designed to work across multiple clusters as well as in a single-cluster environment.
- Multicluster ingress: Kuadrant provides multicluster ingress connectivity using DNS to bring traffic to your Gateways by using a strategy defined in a
DNSPolicy
. - Global rate limiting: Kuadrant can enable global rate limiting use cases when configured to use a shared Redis store for counters based on limits defined by a
RateLimitPolicy
. - Global auth: You can configure a Kuadrant
AuthPolicy
to leverage external auth providers to ensure that different clusters exposing the same API authenticate and authorize in the same way. - Integration with federated metrics stores: Kuadrant has example dashboards and metrics for visualizing your Gateways and observing traffic hitting those Gateways across multiple clusters.
User roles¶
-
Platform engineer: This guide walks you through deploying a Gateway that provides secure communication and is protected and ready for use by application development teams to deploy an API. It then walks through using this Gateway in clusters in different geographic regions, leveraging Kuadrant to bring specific traffic to your geo-located Gateways to reduce latency and distribute load, while still being protected and secured with global rate limiting and auth.
-
Application developer: This guide walks through how you can use the Kuadrant OpenAPI Specification (OAS) extensions and
kuadrantctl
CLI to generate anHTTPRoute
for your API and to add specific auth and rate limiting requirements.
As an optional extra, this guide highlights how both user roles can observe and monitor these Gateways when the OpenShift user workload monitoring and observability stack is deployed.
Deployment management tooling¶
While this document uses kubectl
commands for simplicity, working with multiple clusters is complex, and it is best to use a tool such as Argo CD to manage the deployment of resources to multiple clusters.
Prerequisites¶
This guide expects that you have successfully installed Kuadrant on at least one OpenShift cluster:
- You have completed the steps in Install Kuadrant on an OpenShift cluster for one or more clusters.
- For multicluster scenarios, you have installed Kuadrant on at least two different OpenShift clusters, and have a shared accessible Redis store.
- You have the
kubectl
command line installed. - Optional: User workload monitoring is configured to remote write to a central storage system such as Thanos, as described in Install Kuadrant on an OpenShift cluster.
Platform engineer workflow¶
NOTE: You must perform the following steps in each cluster individually, unless specifically excluded.
Step 1 - Set your environment variables¶
Set the following environment variables used for convenience in this guide:
export zid=change-this-to-your-zone-id
export rootDomain=example.com
export gatewayNS=api-gateway
export gatewayName=external
export devNS=toystore
export AWS_ACCESS_KEY_ID=xxxx
export AWS_SECRET_ACCESS_KEY=xxxx
export AWS_REGION=us-east-1
export clusterIssuerName=lets-encrypt
export EMAIL=foo@example.com
Step 2 - Set up a DNS Provider¶
The DNS provider declares a credential to access the zone(s) that Kuadrant can use to set up DNS configuration. You should ensure that this credential only has access to the zones you want managed.
Create the DNS Provider Secret resource¶
Apply the following Secret
resource to each cluster. Alternatively, if you are adding an additional cluster, add it to the new cluster:
Create the secret credentials as follows:
kubectl -n ${gatewayNS} create secret generic aws-credentials \
--type=kuadrant.io/aws \
--from-literal=AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
--from-literal=AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY
Step 3 - Add a TLS issuer¶
To secure communication to the Gateways, you will define a TLS issuer for TLS certificates. This example uses Let's Encrypt, but you can use any issuer supported by cert-manager
.
The following example uses Let's Encrypt staging, which you must also apply to all clusters:
kubectl apply -f - <<EOF
apiVersion: cert-manager.io/v1
kind: ClusterIssuer
metadata:
name: ${clusterIssuerName}
spec:
acme:
email: ${EMAIL}
privateKeySecretRef:
name: le-secret
server: https://acme-staging-v02.api.letsencrypt.org/directory
solvers:
- dns01:
route53:
hostedZoneID: ${zid}
region: ${AWS_REGION}
accessKeyIDSecretRef:
key: AWS_ACCESS_KEY_ID
name: aws-credentials
secretAccessKeySecretRef:
key: AWS_SECRET_ACCESS_KEY
name: aws-credentials
EOF
Then wait for the ClusterIssuer
to become ready as follows:
Step 4 - Set up a Gateway¶
For Kuadrant to balance traffic using DNS across two or more clusters, you must define a Gateway with a shared host. You will define this by using an HTTPS listener with a wildcard hostname based on the root domain. As mentioned earlier, you must apply these resources to all clusters.
NOTE: For now, the Gateway is set to accept an HTTPRoute
from the same namespace only. This allows you to restrict who can use the Gateway until it is ready for general use.
kubectl apply -f - <<EOF
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
name: ${gatewayName}
namespace: ${gatewayNS}
labels:
kuadrant.io/gateway: "true"
spec:
gatewayClassName: istio
listeners:
- allowedRoutes:
namespaces:
from: Same
hostname: "*.${rootDomain}"
name: api
port: 443
protocol: HTTPS
tls:
certificateRefs:
- group: ""
kind: Secret
name: api-${gatewayName}-tls
mode: Terminate
EOF
Check the status of your Gateway as follows:
kubectl get gateway ${gatewayName} -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Accepted")].message}'
kubectl get gateway ${gatewayName} -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Programmed")].message}'
Your Gateway should be accepted and programmed (valid and assigned an external address). However, if you check your listener status as follows, you will see that it is not yet programmed or ready to accept traffic due to bad TLS configuration:
kubectl get gateway ${gatewayName} -n ${gatewayNS} -o=jsonpath='{.status.listeners[0].conditions[?(@.type=="Programmed")].message}'
Kuadrant can help with this by using a TLSPolicy.
Step 5 - Secure and protect the Gateway with auth, TLS, rate limit, and DNS policies¶
While your Gateway is now deployed, it has no exposed endpoints and your listener is not programmed. Next, you can set up a TLSPolicy
that leverages your CertificateIssuer to set up your listener certificates.
You will also define an AuthPolicy
that will set up a default 403
response for any unprotected endpoints, as well as a RateLimitPolicy
that will set up a default artificially low global limit to further protect any endpoints exposed by this Gateway.
Set the Auth policy¶
Set a default, deny-all AuthPolicy
for your Gateway as follows:
kubectl apply -f - <<EOF
apiVersion: kuadrant.io/v1beta2
kind: AuthPolicy
metadata:
name: ${gatewayName}-auth
namespace: ${gatewayNS}
spec:
targetRef:
group: gateway.networking.k8s.io
kind: Gateway
name: ${gatewayName}
defaults:
rules:
authorization:
"deny":
opa:
rego: "allow = false"
EOF
Check that your auth policy was accepted by the controller as follows:
kubectl get authpolicy ${gatewayName}-auth -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Accepted")].message}'
Set the TLS policy¶
Set the TLSPolicy
for your Gateway as follows:
kubectl apply -f - <<EOF
apiVersion: kuadrant.io/v1alpha1
kind: TLSPolicy
metadata:
name: ${gatewayName}-tls
namespace: ${gatewayNS}
spec:
targetRef:
name: ${gatewayName}
group: gateway.networking.k8s.io
kind: Gateway
issuerRef:
group: cert-manager.io
kind: ClusterIssuer
name: ${clusterIssuerName}
EOF
Check that your TLS policy was accepted by the controller as follows:
kubectl get tlspolicy ${gatewayName}-tls -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Accepted")].message}'
Set the rate limit policy¶
Set the default RateLimitPolicy
for your Gateway as follows:
kubectl apply -f - <<EOF
apiVersion: kuadrant.io/v1beta2
kind: RateLimitPolicy
metadata:
name: ${gatewayName}-rlp
namespace: ${gatewayNS}
spec:
targetRef:
group: gateway.networking.k8s.io
kind: Gateway
name: ${gatewayName}
defaults:
limits:
"low-limit":
rates:
- limit: 2
duration: 10
unit: second
EOF
To check your rate limits have been accepted, enter the following command:
kubectl get ratelimitpolicy ${gatewayName}-rlp -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Accepted")].message}'
Set the DNS policy¶
Set the DNSPolicy
for your Gateway as follows:
kubectl apply -f - <<EOF
apiVersion: kuadrant.io/v1alpha1
kind: DNSPolicy
metadata:
name: ${gatewayName}-dnspolicy
namespace: ${gatewayNS}
spec:
loadBalancing:
defaultGeo: true
geo: US
weight: 120
targetRef:
name: ${gatewayName}
group: gateway.networking.k8s.io
kind: Gateway
providerRefs:
- name: aws-credentials
EOF
NOTE: The DNSPolicy
will use the DNS Provider Secret
that you defined earlier.
Check that your DNSPolicy
has been accepted as follows:
kubectl get dnspolicy ${gatewayName}-dnspolicy -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Accepted")].message}'
Create an HTTP route¶
Create an HTTPRoute
for your Gateway as follows:
kubectl apply -f - <<EOF
apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
name: test
namespace: ${gatewayNS}
spec:
parentRefs:
- name: ${gatewayName}
namespace: ${gatewayNS}
hostnames:
- "test.${rootDomain}"
rules:
- backendRefs:
- name: toystore
port: 80
EOF
Check your Gateway policies are enforced as follows:
kubectl get dnspolicy ${gatewayName}-dnspolicy -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Enforced")].message}'
kubectl get authpolicy ${gatewayName}-auth -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Enforced")].message}'
kubectl get ratelimitpolicy ${gatewayName}-rlp -n ${gatewayNS} -o=jsonpath='{.status.conditions[?(@.type=="Enforced")].message}'
Check your listener is ready as follows:
kubectl get gateway ${gatewayName} -n ${gatewayNS} -o=jsonpath='{.status.listeners[0].conditions[?(@.type=="Programmed")].message}'
Step 6 - Test connectivity and deny all auth¶
You can use curl
to hit your endpoint. You should see a 403
. Because this example uses Let's Encrypt staging, you can pass the -k
flag:
curl -k -w "%{http_code}" https://$(kubectl get httproute test -n ${gatewayNS} -o=jsonpath='{.spec.hostnames[0]}')
Step 7 - Opening up the Gateway for other namespaces¶
Because you have configured the Gateway, secured it with Kuadrant policies, and tested it, you can now open it up for use by other teams in other namespaces:
kubectl patch gateway ${gatewayName} -n ${gatewayNS} --type='json' -p='[{"op": "replace", "path": "/spec/listeners/0/allowedRoutes/namespaces/from", "value":"All"}]'
Step 8 - Extending this Gateway to multiple clusters and configuring geo-based routing¶
To distribute this Gateway across multiple clusters, repeat this setup process for each cluster. By default, this will implement a round-robin DNS strategy to distribute traffic evenly across the different clusters. Setting up your Gateways to serve clients based on their geographic location is straightforward with your current configuration.
Assuming that you have deployed Gateway instances across multiple clusters as per this guide, the next step involves updating the DNS controller with the geographic regions of the visible Gateways.
For instance, if you have one cluster in North America and another in the EU, you can direct traffic to these Gateways based on their location by applying the appropriate labels:
For your North American cluster, enter the following command:
kubectl label --overwrite gateway ${gatewayName} kuadrant.io/lb-attribute-geo-code=US -n ${gatewayNS}
Application developer workflow¶
This section of the walkthrough focuses on using an OpenAPI Specification (OAS) to define an API. You will use Kuadrant OAS extensions to specify the routing, authentication, and rate limiting requirements. Next, you will use the kuadrantctl
tool to generate an AuthPolicy
, an HTTPRoute
, and a RateLimitPolicy
, which you will then apply to your cluster to enforce the settings defined in your OAS.
NOTE: While this section uses the kuadrantctl
tool, this is not essential. You can also create and apply an AuthPolicy
, RateLimitPolicy
, and HTTPRoute
by using the oc
or kubectl
commands.
Prerequisites¶
- You have installed
kuadrantctl
. You can find a compatible binary and download it from the kuadrantctl releases page. - You have the ability to distribute resources generated by
kuadrantctl
to multiple clusters, as though you are a platform engineer.
Step 1 - Deploy the toystore app¶
To begin, deploy a new version of the toystore
app to a developer namespace as follows:
kubectl apply -f https://raw.githubusercontent.com/Kuadrant/Kuadrant-operator/main/examples/toystore/toystore.yaml -n ${devNS}
Step 2 - Set up HTTPRoute and backend¶
Copy at least one of the following example OAS to a local location:
Set up some new environment variables as follows:
export oasPath=examples/oas-apikey.yaml
# Ensure you still have these environment variables setup from the start of this guide:
export rootDomain=example.com
export gatewayNS=api-gateway
Step 3 - Use OAS to define your HTTPRoute rules¶
You can generate Kuadrant and Gateway API resources directly from OAS documents by using an x-kuadrant
extension.
NOTE: For a more in-depth look at the OAS extension, see the kuadrantctl documentation.
You will use kuadrantctl
to generate your HTTPRoute
.
NOTE: The sample OAS has some placeholders for namespaces and domains. You will inject valid values into these placeholders based on your previous environment variables.
Generate the resource from your OAS as follows, (envsubst
will replace the placeholders):
You should see that this route is affected by the AuthPolicy
and RateLimitPolicy
defined as defaults on the Gateway in the Gateway namespace.
- lastTransitionTime: "2024-04-26T13:37:43Z"
message: Object affected by AuthPolicy demo/external
observedGeneration: 2
reason: Accepted
status: "True"
type: kuadrant.io/AuthPolicyAffected
- lastTransitionTime: "2024-04-26T14:07:28Z"
message: Object affected by RateLimitPolicy demo/external
observedGeneration: 1
reason: Accepted
status: "True"
type: kuadrant.io/RateLimitPolicyAffected
Step 4 - Test connectivity and deny-all auth¶
You can use curl
to hit an endpoint in the toystore app. Because you are using Let's Encrypt staging in this example, you can pass the -k
flag as follows:
curl -s -k -o /dev/null -w "%{http_code}" "https://$(kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.spec.hostnames[0]}')/v1/toys"
You are getting a 403
because of the existing default, deny-all AuthPolicy
applied at the Gateway. You can override this for your HTTPRoute
.
Choose one of the following options:
- API key auth flow
- OpenID Connect auth flow
Step 5 - Set up API key auth flow¶
Set up an example API key in each cluster as follows:
kubectl apply -f - <<EOF
apiVersion: v1
kind: Secret
metadata:
name: toystore-api-key
namespace: ${devNS}
labels:
authorino.kuadrant.io/managed-by: authorino
kuadrant.io/apikeys-by: api_key
stringData:
api_key: secret
type: Opaque
EOF
Next, generate an AuthPolicy
that uses secrets in your cluster as API keys as follows:
From this, you can see an AuthPolicy
generated based on your OAS that will look for API keys in secrets labeled api_key
and look for that key in the header api_key
. You can now apply this to the Gateway as follows:
You should get a 200
from the following GET
because it has no auth requirement:
curl -s -k -o /dev/null -w "%{http_code}" "https://$(kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.spec.hostnames[0]}')/v1/toys"
You should get a 401
for the following POST
request because it does not have any auth requirements:
curl -XPOST -s -k -o /dev/null -w "%{http_code}" "https://$(kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.spec.hostnames[0]}')/v1/toys"
Finally, if you add your API key header, with a valid key as follows, you should get a 200
response:
curl -XPOST -H 'api_key: secret' -s -k -o /dev/null -w "%{http_code}" "https://$(kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.spec.hostnames[0]}')/v1/toys"
Optional: Step 6 - Set up OpenID Connect auth flow (skip if using API key only)¶
This section of the walkthrough uses the kuadrantctl
tool to create an AuthPolicy
that integrates with an OpenID provider and a RateLimitPolicy
that leverages JWT values for per-user rate limiting. It is important to note that OpenID requires an external provider. Therefore, you should adapt the following example to suit your specific needs and provider.
The platform engineer workflow established default policies for authentication and rate limiting at your Gateway. The new developer-defined policies, which you will create, are intended to target your HTTPRoute and will supersede the existing policies for requests to your API endpoints, similar to your previous API key example.
The example OAS uses Kuadrant-based extensions. These extensions enable you to define routing and service protection requirements. For more details, see OpenAPI Kuadrant extensions.
Prerequisites¶
- You have installed and configured an OpenID Connect provider, such as https://www.keycloak.org/.
- You have a realm, client, and users set up. This example assumes a realm in a Keycloak instance called
toystore
. - Copy the OAS from sample OAS for rate-limiting and OIDC to a local location.
Set up an OpenID AuthPolicy¶
Set the following environment variables:
NOTE: The sample OAS has some placeholders for namespaces and domains. You will inject valid values into these placeholders based on your previous environment variables.
You can use your OAS and kuadrantctl
to generate an AuthPolicy
to replace the default on the Gateway as follows:
If you are happy with the generated resource, you can apply it to the cluster as follows:
You should see in the status of the AuthPolicy
that it has been accepted and enforced:
On your HTTPRoute
, you should also see it now affected by this AuthPolicy
in the toystore namespace:
kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.status.parents[0].conditions[?(@.type=="kuadrant.io/AuthPolicyAffected")].message}'
Test your OpenID AuthPolicy¶
You can test your AuthPolicy
as follows:
export ACCESS_TOKEN=$(curl -k -H "Content-Type: application/x-www-form-urlencoded" \
-d 'grant_type=password' \
-d 'client_id=toystore' \
-d 'scope=openid' \
-d 'username=bob' \
-d 'password=p' "https://${openIDHost}/auth/realms/toystore/protocol/openid-connect/token" | jq -r '.access_token')
curl -k -XPOST --write-out '%{http_code}\n' --silent --output /dev/null "https://$(kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.spec.hostnames[0]}')/v1/toys"
You should see a 401
response code. Make a request with a valid bearer token as follows:
curl -k -XPOST --write-out '%{http_code}\n' --silent --output /dev/null -H "Authorization: Bearer $ACCESS_TOKEN" "https://$(kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.spec.hostnames[0]}')/v1/toys"
You should see a 200
response code.
Step 7 - Set up rate limiting¶
Lastly, you can generate your RateLimitPolicy
to add your rate limits, based on your OAS file. Rate limiting is simplified for this walkthrough and is based on either the bearer token or the API key value. There are more advanced examples in the How-to guides on the Kuadrant documentation site, for example: Authenticated rate limiting with JWTs and Kubernetes RBAC.
You can continue to use this sample OAS document, which includes both authentication and a rate limit:
Again, you should see the rate limit policy accepted and enforced:
On your HTTRoute
, you should now see it is affected by the RateLimitPolicy
in the same namespace:
kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.status.parents[0].conditions[?(@.type=="kuadrant.io/RateLimitPolicyAffected")].message}'
Test your RateLimitPolicy¶
You can now test your rate limiting as follows:
NOTE: You might need to wait a minute for the new rate limits to be applied. With the following requests, you should see a number of 429 responses.
API Key auth¶
for i in {1..3}
do
printf "request $i "
curl -XPOST -H 'api_key:secret' -s -k -o /dev/null -w "%{http_code}" "https://$(kubectl get httproute toystore -n ${devNS} -o=jsonpath='{.spec.hostnames[0]}')/v1/toys"
printf "\n -- \n"
done
OpenID Connect auth¶
export ACCESS_TOKEN=$(curl -k -H "Content-Type: application/x-www-form-urlencoded" \
-d 'grant_type=password' \
-d 'client_id=toystore' \
-d 'scope=openid' \
-d 'username=bob' \
-d 'password=p' "https://${openIDHost}/auth/realms/toystore/protocol/openid-connect/token" | jq -r '.access_token')
for i in {1..3}
do
curl -k -XPOST --write-out '%{http_code}\n' --silent --output /dev/null -H "Authorization: Bearer $ACCESS_TOKEN" https://$(kubectl get httproute toystore -n ${devNS}-o=jsonpath='{.spec.hostnames[0]}')/v1/toys
done
Conclusion¶
You have completed the secure, protect, and connect walkthrough. To learn more about Kuadrant, visit https://docs.kuadrant.io.