Kubernetes operations improvements (Early access)
There are two new features available for Kubernetes through early access:
Security policy orchestration, which removes the need for compilaton by updating existing JSON security policies.
Automated signature updates, which can auto-update security signatures.
They extends the WAF compiler capabilities by providing a native Kubernetes operater-based approach for policy orchestration.
These feature revolve around a Policy Controller which uses the Kubernetes operator pattern to manage the lifecycle of WAF security artifacts.
It handles policy distribution at scale by removing manual steps and providing a declarative configuration model with Custom Resource Definitions (CRDs) for policies, logging profiles and signatures.
These enhancements are only available for Helm-based deployments.
To complete this guide, you will need the following prerequisites:
- A functional Kubernetes cluster
- Helm
- Docker
- An active F5 WAF for NGINX subscription (Purchased or trial)
- Credentials to the MyF5 Customer Portal, provided by email from F5, Inc.
- Log in to MyF5.
- Go to My Products & Plans > Subscriptions to see your active subscriptions.
- Find your NGINX subscription, and select the Subscription ID for details.
- Download the SSL Certificate and Private Key files from the subscription page.
- Download the JSON Web Token file from the subscription page.
Set the following environment variables, which point towards your credential files:
export JWT=<your-nginx-jwt-token>
export NGINX_REGISTRY_TOKEN=<base64-encoded-docker-credentials>
export NGINX_CERT=$(cat /path/to/your/nginx-repo.crt | base64 -w 0)
export NGINX_KEY=$(cat /path/to/your/nginx-repo.key | base64 -w 0)
They will be used to download and apply necessary resources.
You may be able to skip this step on an existing Kubernetes deployment, where guidance was already given to configure Docker.
Create a directory and copy your certificate and key to this directory:
mkdir -p /etc/docker/certs.d/private-registry.nginx.com
cp <path-to-your-nginx-repo.crt> /etc/docker/certs.d/private-registry.nginx.com/client.cert
cp <path-to-your-nginx-repo.key> /etc/docker/certs.d/private-registry.nginx.com/client.key
Log in to the Docker registry:
docker login private-registry.nginx.com
Create the directory on the cluster:
sudo mkdir -p /mnt/nap5_bundles_pv_data
sudo chown -R 101:101 /mnt/nap5_bundles_pv_data
Create the file pv-hostpath.yaml
with the persistent volume file content:
apiVersion: v1
kind: PersistentVolume
metadata:
name: nginx-app-protect-shared-bundles-pv
labels:
type: local
spec:
accessModes:
- ReadWriteMany
capacity:
storage: "2Gi"
hostPath:
path: "/mnt/nap5_bundles_pv_data"
persistentVolumeReclaimPolicy: Retain
storageClassName: manual
Apply the pv-hostpath.yaml
file to create the new persistent volume for policy bundles:
kubectl apply -f pv-hostpath.yaml
The volume name defaults to
<release-name>-bundles-pv
, but can be customized using theappprotect.storage.pv.name
setting in yourvalues.yaml
file.If you do this, ensure that all corresponding values for persistent volumes point to the correct names.
These enhancements require specific CRDs to be applied before deployment.
These CRDs define the resources that the Policy Controller manages:
appolicies.appprotect.f5.com
- Defines WAF security policiesaplogconfs.appprotect.f5.com
- Manages logging profiles and configurationsapusersigs.appprotect.f5.com
- Handles user-defined signaturesapsignatures.appprotect.f5.com
- Manages signature updates and collections
To obtain the CRDs, log into the Helm registry and pull the chart, changing the --version
parameter for your desired version.
helm registry login private-registry.nginx.com
helm pull oci://private-registry.nginx.com/nap/nginx-app-protect --version 5.9.0-ea --untar
Then change into the directory and apply the CRDs using kubectl apply:
cd nginx-app-protect
kubectl apply -f crds/
To activate these enhancements, NGINX requires configuration to integrate with the Policy Controller.
The directive app_protect_default_config_source
must be set to "custom-resource"
to enable the features.
user nginx;
worker_processes auto;
load_module modules/ngx_http_app_protect_module.so;
error_log /var/log/nginx/error.log notice;
pid /var/run/nginx.pid;
events {
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log stdout main;
sendfile on;
keepalive_timeout 65;
app_protect_enforcer_address 127.0.0.1:50000;
# Enable enhancements
app_protect_default_config_source "custom-resource";
app_protect_security_log_enable on;
app_protect_security_log my-logging-cr /opt/app_protect/bd_config/s.log;
server {
listen 80;
server_name localhost;
proxy_http_version 1.1;
location / {
app_protect_enable on;
# Reference to Custom Resource policy name
app_protect_policy_file my-policy-cr;
client_max_body_size 0;
default_type text/html;
proxy_pass http://127.0.0.1/proxy$request_uri;
}
location /proxy {
app_protect_enable off;
client_max_body_size 0;
default_type text/html;
return 200 "Hello! I got your URI request - $request_uri\n";
}
}
}
These are the directives:
app_protect_default_config_source "custom-resource"
- Enables the Policy Controller integrationapp_protect_policy_file my-policy-cr
- References a Custom Resource policy name instead of bundle file pathsapp_protect_security_log my-logging-cr
- References a Custom Resource logging configuration name
These new enhancements are deployed as part of the F5 WAF for NGINX Helm chart.
To enable them, you must configure the Policy Controller settings in your values.yaml
file:
# Specify the target namespace for your deployment
# Replace <namespace> with your chosen namespace name (e.g., "nap-plm" or "production")
# This must match the namespace you will create in Step 4 or an existing namespace you plan to use
namespace: <namespace>
appprotect:
## Note: This option is useful if you use Nginx Ingress Controller for example.
## Enable/Disable Nginx App Protect Deployment
enable: true
## The number of replicas of the Nginx App Protect deployment
replicas: 1
## Configure root filesystem as read-only and add volumes for temporary data
readOnlyRootFilesystem: false
## The annotations for deployment
annotations: {}
## InitContainers for the Nginx App Protect pod
initContainers: []
# - name: init-container
# image: busybox:latest
# command: ['sh', '-c', 'echo this is initial setup!']
nginx:
image:
## The image repository of the Nginx App Protect WAF image you built
## This must reference the Docker image you built following the Docker deployment guide
## Replace <your-private-registry> with your actual registry and update the image name/tag as needed
repository: <your-private-registry>/nginx-app-protect-5
## The tag of the Nginx image
tag: latest
## The pull policy for the Nginx image
imagePullPolicy: IfNotPresent
## The resources of the Nginx container.
resources:
requests:
cpu: 10m
memory: 16Mi
# limits:
# cpu: 1
# memory: 1Gi
wafConfigMgr:
image:
## The image repository of the WAF Config Mgr
repository: private-registry.nginx.com/nap/waf-config-mgr
## The tag of the WAF Config Mgr image
tag: 5.9.0
## The pull policy for the WAF Config Mgr image
imagePullPolicy: IfNotPresent
## The resources of the Waf Config Manager container
resources:
requests:
cpu: 10m
memory: 16Mi
# limits:
# cpu: 500m
# memory: 500Mi
wafEnforcer:
image:
## The image repository of the WAF Enforcer
repository: private-registry.nginx.com/nap/waf-enforcer
## The tag of the WAF Enforcer image
tag: 5.9.0
## The pull policy for the WAF Enforcer image
imagePullPolicy: IfNotPresent
## The environment variable for enforcer port to be set on the WAF Enforcer container
env:
enforcerPort: "50000"
## The resources of the WAF Enforcer container
resources:
requests:
cpu: 20m
memory: 256Mi
# limits:
# cpu: 1
# memory: 1Gi
wafIpIntelligence:
enable: false
image:
## The image repository of the WAF IP Intelligence
repository: private-registry.nginx.com/nap/waf-ip-intelligence
## The tag of the WAF IP Intelligence
tag: 5.9.0
## The pull policy for the WAF IP Intelligence
imagePullPolicy: IfNotPresent
## The resources of the WAF IP Intelligence container
resources:
requests:
cpu: 10m
memory: 256Mi
# limits:
# cpu: 200m
# memory: 1Gi
policyController:
## Enable/Disable Policy Controller Deployment
enable: true
## Number of replicas for the Policy Controller
replicas: 1
## The image repository of the WAF Policy Controller
image:
repository: private-registry.nginx.com/nap/waf-policy-controller
## The tag of the WAF Policy COntroller
tag: 5.9.0
## The pull policy for the WAF Policy Controller
imagePullPolicy: IfNotPresent
wafCompiler:
## The image repository of the WAF Compiler
image:
repository: private-registry.nginx.com/nap/waf-compiler
## The tag of the WAF Compiler image
tag: 5.9.0
## Save logs before deleting a job or not
enableJobLogSaving: false
## The resources of the WAF Policy Controller
resources:
requests:
cpu: 100m
memory: 128Mi
# limits:
# memory: 256Mi
# cpu: 250m
## InitContainers for the Policy Controller pod
initContainers: []
# - name: init-container
# image: busybox:latest
# command: ['sh', '-c', 'echo this is initial setup!']
storage:
bundlesPath:
## Specifies the name of the volume to be used for storing policy bundles
name: app-protect-bundles
## Defines the mount path inside the WAF Config Manager container where the bundles will be stored
mountPath: /etc/app_protect/bundles
pv:
## PV name that pvc will request
## if empty will be used <release-name>-shared-bundles-pv
name: nginx-app-protect-shared-bundles-pv
pvc:
## The storage class to be used for the PersistentVolumeClaim. 'manual' indicates a manually managed storage class
bundlesPvc:
storageClass: manual
## The amount of storage requested for the PersistentVolumeClaim
storageRequest: 2Gi
# Not needed as values will be set during helm install
# nginxRepo:
# ## Used for Policy Controller to pull the security updates from the NGINX repository.
# ## The base64-encoded TLS certificate for the NGINX repository.
# nginxCrt: ""
# ## The base64-encoded TLS key for the NGINX repository.
# nginxKey: ""
config:
## The name of the ConfigMap used by the Nginx container
name: nginx-config
## The annotations of the configmap
annotations: {}
# Not needed as value will be set during helm install
# ## The JWT token license.txt of the ConfigMap for customizing NGINX configuration.
# nginxJWT: ""
## The nginx.conf of the ConfigMap for customizing NGINX configuration
nginxConf: |-
user nginx;
worker_processes auto;
load_module modules/ngx_http_app_protect_module.so;
error_log /var/log/nginx/error.log notice;
pid /var/run/nginx.pid;
events {
worker_connections 1024;
}
# Uncomment if using mtls
# mTLS configuration
# stream {
# upstream enforcer {
# # Replace with the actual App Protect Enforcer address and port if different
# server 127.0.0.1:4431;
# }
# server {
# listen 5000;
# proxy_pass enforcer;
# proxy_ssl_server_name on;
# proxy_timeout 30d;
# proxy_ssl on;
# proxy_ssl_certificate /etc/ssl/certs/app_protect_client.crt;
# proxy_ssl_certificate_key /etc/ssl/certs/app_protect_client.key;
# proxy_ssl_trusted_certificate /etc/ssl/certs/app_protect_server_ca.crt;
# }
# }
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log stdout main;
sendfile on;
keepalive_timeout 65;
# Enable enhancements
# WAF default config source. For policies from CRDs, use "custom-resource"
# Remove this line to use default bundled policies
app_protect_default_config_source "custom-resource";
# WAF enforcer address. For mTLS, use port 5000
app_protect_enforcer_address 127.0.0.1:50000;
server {
listen 80;
server_name localhost;
proxy_http_version 1.1;
location / {
app_protect_enable on;
app_protect_security_log_enable on;
app_protect_security_log log_all stderr;
# WAF policy - use Custom Resource name when these enhancements are enabled
app_protect_policy_file app_protect_default_policy;
client_max_body_size 0;
default_type text/html;
proxy_pass http://127.0.0.1/proxy$request_uri;
}
location /proxy {
app_protect_enable off;
client_max_body_size 0;
default_type text/html;
return 200 "Hello! I got your URI request - $request_uri\n";
}
}
# include /etc/nginx/conf.d/*.conf;
}
## The default.conf of the ConfigMap for customizing NGINX configuration
nginxDefault: {}
## The extra entries of the ConfigMap for customizing NGINX configuration
entries: {}
## It is recommended to use your own TLS certificates and keys
mTLS:
## The base64-encoded TLS certificate for the App Protect Enforcer (server)
## Note: It is recommended that you specify your own certificate
serverCert: ""
## The base64-encoded TLS key for the App Protect Enforcer (server)
## Note: It is recommended that you specify your own key
serverKey: ""
## The base64-encoded TLS CA certificate for the App Protect Enforcer (server)
## Note: It is recommended that you specify your own certificate
serverCACert: ""
## The base64-encoded TLS certificate for the NGINX (client)
## Note: It is recommended that you specify your own certificate
clientCert: ""
## The base64-encoded TLS key for the NGINX (client)
## Note: It is recommended that you specify your own key
clientKey: ""
## The base64-encoded TLS CA certificate for the NGINX (client)
## Note: It is recommended that you specify your own certificate
clientCACert: ""
## The extra volumes of the Nginx container
volumes: []
# - name: extra-conf
# configMap:
# name: extra-conf
## The extra volumeMounts of the Nginx container
volumeMounts: []
# - name: extra-conf
# mountPath: /etc/nginx/conf.d/extra.conf
# subPath: extra.conf
service:
nginx:
ports:
- port: 80
protocol: TCP
targetPort: 80
## The type of service to create. NodePort will expose the service on each Node's IP at a static port.
type: NodePort
# Not needed as value will be set during helm install
# ## This is a base64-encoded string representing the contents of the Docker configuration file (config.json).
# ## This file is used by Docker to manage authentication credentials for accessing private Docker registries.
# ## By encoding the configuration file in base64, sensitive information such as usernames, passwords, and access tokens are protected from being exposed directly in plain text.
# ## You can create this base64-encoded string yourself by encoding your config.json file, or you can create the Kubernetes secret containing these credentials before deployment and not use this value directly in the values.yaml file.
# dockerConfigJson: ""
Create a Docker registry secret:
kubectl create secret docker-registry regcred -n <namespace> \
--docker-server=private-registry.nginx.com \
--docker-username=$JWT \
--docker-password=none
Deploy the chart, adding the parameter to enable the Policy Controller:
helm install <release-name> . \
--namespace <namespace> \
--create-namespace \
--set appprotect.policyController.enable=true \
--set dockerConfigJson=$NGINX_REGISTRY_TOKEN \
--set appprotect.config.nginxJWT=$JWT \
--set appprotect.nginxRepo.nginxCert=$NGINX_CERT \
--set appprotect.nginxRepo.nginxKey=$NGINX_KEY
If you would like to instead upgrade an existing deployment, use this upgrade
command:
helm upgrade <release-name> . \
--namespace <namespace> \
--values /path/to/your/values.yaml \
--set appprotect.policyController.enable=true \
--set dockerConfigJson=$NGINX_REGISTRY_TOKEN \
--set appprotect.config.nginxJWT=$JWT \
--set appprotect.nginxRepo.nginxCrt=$NGINX_CERT \
--set appprotect.nginxRepo.nginxKey=$NGINX_KEY
Check that all components are deployed successfully using kubectl get:
kubectl get pods -n <namespace>
kubectl get crds | grep appprotect.f5.com
kubectl get pvc -n <namespace>
kubectl get pv
kubectl get all -n <namespace>
If you don’t see a persistent volume claim in the namespace, first check that storage configuration in your values file is correct:
helm get values <release-name> -n <namespace>
You should see a section named appprotect.storage with the parameter bundlesPvc.storageRequest. If it’s missing, use helm upgrade
to add it:
helm upgrade <release-name> . --namespace <namespace> \
--values /path/to/your/values.yaml \
--set appprotect.policyController.enable=true \
--set dockerConfigJson=$NGINX_REGISTRY_TOKEN \
--set appprotect.config.nginxJWT=$JWT \
--set appprotect.nginxRepo.nginxCrt=$NGINX_CERT \
--set appprotect.nginxRepo.nginxKey=$NGINX_KEY \
--set appprotect.storage.pvc.bundlesPvc.storageClass=manual \
--set appprotect.storage.pvc.bundlesPvc.storageRequest=2Gi
If the volume claim exists but shows “Pending”, review the binding:
kubectl describe pvc -n <namespace>
kubectl describe pv nginx-app-protect-shared-bundles-pv
Ensure the pv
storageClassName matches the pvc
requirements.
In totality, you should see the following:
- Policy Controller pod:
1/1 Running
status - F5 WAF for NGINX pod:
3/3 Running
status (nginx, waf-config-mgr, waf-enforcer containers) - All 4 CRDs: Each CRD should be installed and show creation timestamps
- Service: The NodePort service should be available with assigned port
If you are using the IP intelligence feature, you will have a 4th F5 WAF for NGINX pod (waf-ip-intelligence).
During installation, you can create policy resources using Kubernetes manifests.
Here are two examples, which you can use to create your own:
Create a file named dataguard-blocking-policy.yaml
with the following content:
apiVersion: appprotect.f5.com/v1
kind: APPolicy
metadata:
name: dataguard-blocking
spec:
policy:
name: dataguard_blocking
template:
name: POLICY_TEMPLATE_NGINX_BASE
applicationLanguage: utf-8
enforcementMode: blocking
blocking-settings:
violations:
- name: VIOL_DATA_GUARD
alarm: true
block: true
data-guard:
enabled: true
maskData: true
creditCardNumbers: true
usSocialSecurityNumbers: true
enforcementMode: ignore-urls-in-list
enforcementUrls: []
Apply the policy:
kubectl apply -f dataguard-blocking-policy.yaml -n <namespace>
Create a file named apple-usersig.yaml
with the following content:
apiVersion: appprotect.f5.com/v1
kind: APUserSig
metadata:
name: apple
spec:
signatures:
- accuracy: medium
attackType:
name: Brute Force Attack
description: Medium accuracy user defined signature with tag (Fruits)
name: Apple_medium_acc
risk: medium
rule: content:"apple"; nocase;
signatureType: request
systems:
- name: Microsoft Windows
- name: Unix/Linux
tag: Fruits
Apply the user signature:
kubectl apply -f apple-usersig.yaml -n <namespace>
You can check the status of your resources using kubectl get
or kubectl describe
.
The Policy Controller will show status information including:
- Bundle location
- Compilation status
- Signature update timestamps
kubectl get appolicy dataguard-blocking -n <namespace> -o yaml
apiVersion: appprotect.f5.com/v1
kind: APPolicy
metadata:
name: dataguard-blocking
namespace: localenv-plm
# ... other metadata fields
spec:
policy:
# ... policy configuration
status:
bundle:
compilerVersion: 11.559.0
location: /etc/app_protect/bundles/dataguard-blocking-policy/dataguard-blocking_policy20250914102339.tgz
signatures:
attackSignatures: "2025-09-03T08:36:25Z"
botSignatures: "2025-09-03T10:50:19Z"
threatCampaigns: "2025-09-02T07:28:43Z"
state: ready
processing:
datetime: "2025-09-14T10:23:48Z"
isCompiled: true
kubectl describe appolicy dataguard-blocking -n <namespace>
Name: dataguard-blocking
Namespace: localenv-plm
Labels: <none>
Annotations: <none>
API Version: appprotect.f5.com/v1
Kind: APPolicy
Metadata:
Creation Timestamp: 2025-09-10T11:17:07Z
Finalizers:
appprotect.f5.com/finalizer
Generation: 3
# ... other metadata fields
Spec:
Policy:
Application Language: utf-8
Blocking - Settings:
Violations:
Alarm: true
Block: true
Name: VIOL_DATA_GUARD
Data - Guard:
Credit Card Numbers: true
Enabled: true
Enforcement Mode: ignore-urls-in-list
# ... other policy settings
Status:
Bundle:
Compiler Version: 11.559.0
Location: /etc/app_protect/bundles/dataguard-blocking-policy/dataguard-blocking_policy20250914102339.tgz
Signatures:
Attack Signatures: 2025-09-03T08:36:25Z
Bot Signatures: 2025-09-03T10:50:19Z
Threat Campaigns: 2025-09-02T07:28:43Z
State: ready
Processing:
Datetime: 2025-09-14T10:23:48Z
Is Compiled: true
Events: <none>
The key information to review is the following:
Status.Bundle.State
: Policy compilation stateready
- Policy successfully compiled and availableprocessing
- Policy is being compilederror
- Compilation failed (check Policy Controller logs)
Status.Bundle.Location
: File path where the compiled policy bundle is storedStatus.Bundle.Compiler Version
: Version of the WAF compiler used for compilationStatus.Bundle.Signatures
: Timestamps showing when security signatures were last updatedAttack Signatures
- Attack signature update timestampBot Signatures
- Bot signature update timestampThreat Campaigns
- Threat campaign signature update timestamp
Status.Processing.Is Compiled
: Boolean indicating if compilation completed successfullyStatus.Processing.Datetime
: Timestamp of the last compilation attemptEvents
: Shows any Kubernetes events related to the policy (usually none for successful policies)status.processing.isCompiled
: Boolean indicating if compilation completed successfullystatus.processing.datetime
: Timestamp of the last compilation attempt
Apply one of the sample policy Custom Resources to verify your installation is working correctly.
For example, using the dataguard policy you created earlier:
kubectl apply -f dataguard-blocking-policy.yaml -n <namespace>
Verify that the policy has been compiled successfully by checking the Custom Resource status:
kubectl get appolicy <custom-resource-name> -n <namespace> -o yaml
You should see output similar to this, with state: ready
and no errors:
status:
bundle:
compilerVersion: 11.559.0
location: /etc/app_protect/bundles/dataguard-blocking-policy/dataguard-blocking_policy20250904100458.tgz
signatures:
attackSignatures: "2025-08-28T01:16:06Z"
botSignatures: "2025-08-27T11:35:31Z"
threatCampaigns: "2025-08-25T09:57:39Z"
state: ready
processing:
datetime: "2025-09-04T10:05:52Z"
isCompiled: true
Check the Policy Controller logs for expected compilation messages:
kubectl logs <policy-controller-pod> -n <namespace>
Successful compilation logs will look similar to this example:
2025-09-04T10:05:52Z INFO Job is completed {"controller": "appolicy", "controllerGroup": "appprotect.f5.com", "controllerKind": "APPolicy", "APPolicy": {"name":"dataguard-blocking","namespace":"localenv-plm"}, "namespace": "localenv-plm", "name": "dataguard-blocking", "reconcileID": "6bab7054-8a8a-411f-8ecc-01399a308ef6", "job": "dataguard-blocking-appolicy-compile"}
2025-09-04T10:05:52Z INFO job state is {"controller": "appolicy", "controllerGroup": "appprotect.f5.com", "controllerKind": "APPolicy", "APPolicy": {"name":"dataguard-blocking","namespace":"localenv-plm"}, "namespace": "localenv-plm", "name": "dataguard-blocking", "reconcileID": "6bab7054-8a8a-411f-8ecc-01399a308ef6", "job": "dataguard-blocking-appolicy-compile", "state": "ready"}
2025-09-04T10:05:52Z INFO bundle state was changed {"controller": "appolicy", "controllerGroup": "appprotect.f5.com", "controllerKind": "APPolicy", "APPolicy": {"name":"dataguard-blocking","namespace":"localenv-plm"}, "namespace": "localenv-plm", "name": "dataguard-blocking", "reconcileID": "6bab7054-8a8a-411f-8ecc-01399a308ef6", "job": "dataguard-blocking-appolicy-compile", "from": "processing", "to": "ready"}
Check that the policy bundle has been created in the shared volume directory:
ls -la /mnt/nap5_bundles_pv_data/dataguard-blocking-policy/
You should see the compiled policy bundle file in the directory structure.
There are a few steps involved in testing that policy bundles are being deployed and enforced correctly.
First, identify and confirm the deployment information:
kubectl get all -n <namespace>
Look for the fields CLUSTER-IP and the full deployment name:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/localenv-plm-nginx-app-protect-nginx NodePort 10.43.205.101 <none> 80:30970/TCP 21h
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/localenv-plm-nginx-app-protect-deployment 1/1 1 1 21h
Then open your values.yaml
file in an editor and look for the policy directive:
app_protect_policy_file app_protect_default_policy
Replace app_protect_default_policy with the custom resource name, such as:
app_protect_policy_file dataguard-blocking;
Use helm upgrade
to apply the new configuration, replacing the name and namespace accordingly:
helm upgrade <release-name> . \
--namespace <namespace> \
--values /path/to/your/values.yaml \
--set appprotect.policyController.enable=true \
--set dockerConfigJson=$NGINX_REGISTRY_TOKEN \
--set appprotect.config.nginxJWT=$JWT \
--set appprotect.nginxRepo.nginxCrt=$NGINX_CERT \
--set appprotect.nginxRepo.nginxKey=$NGINX_KEY
Restart your Kubernetes deployment to load the new configuration changes:
kubectl rollout restart deployment <deployment-name> -n <namespace>
Send a test request to trigger the dataguard policy:
curl "http://[CLUSTER-IP]:80/?a=<script>"
The request should be blocked, confirming the policy was successfully compiled and deployed.
Once these enhancements are enabled, you can define specific security update versions on a per-feature basis.
This is accomplished by adding a revision:
parameter to the feature.
The following example is for an APSignatures resource, in a file named signatures.yaml
:
apiVersion: appprotect.f5.com/v1
kind: APSignatures
metadata:
name: signatures
spec:
attack-signatures:
revision: "2025.06.19" # The precise attack-signatures revision to be used
bot-signatures:
revision: "latest" # "latest" will use the most recent bog-signatures revision
threat-campaigns:
revision: "2025.06.24" # The precise threat-signatures revision to be used
The APSignatures
metadata.name
argument must besignatures
.Only one APSignatures instance can exist.
Apply the Manifest:
kubectl apply -f signatures.yaml
Downloading security updates may take several minutes, and the version of security updates available at the time of compilation is always used to compile policies.
You must re-apply your policy when changing signature revisions.
This ensures the existing policy will be recompiled with the new signatures.
If APSignatures is not created or the specified versions are not available, it will default to the version stored in the compiler Docker image.
Follow these steps to upgrade the Helm chart once installed: they are similar to the initial deployment.
You should first prepare environment variables and configure Docker registry credentials.
Log into the Helm registry and pull the chart, changing the --version
parameter for the new version.
helm registry login private-registry.nginx.com
helm pull oci://private-registry.nginx.com/nap/nginx-app-protect --version <new-release-version> --untar
Helm charts come with a defaultvalues.yaml
file: this should be ignored in favour of the customized file during set-up.
Then change into the directory and apply the CRDs:
cd nginx-app-protect
kubectl apply -f crds/
Finish the the process by using helm upgrade
:
helm upgrade <release-name> . \
--namespace <namespace> \
--values /path/to/your/values.yaml \
--set appprotect.policyController.enable=true \
--set dockerConfigJson=$NGINX_REGISTRY_TOKEN \
--set appprotect.config.nginxJWT=$JWT \
--set appprotect.nginxRepo.nginxCrt=$NGINX_CERT \
--set appprotect.nginxRepo.nginxKey=$NGINX_KEY
You should verify the Policy Controller is running afterwards.
To uninstall the Helm chart, first delete the custom resources created:
kubectl -n <namespace> delete appolicy <policy-name>
kubectl -n <namespace> delete aplogconf <logconf-name>
kubectl -n <namespace> delete apusersigs <user-defined-signature-name>
kubectl -n <namespace> delete apsignatures <signature-update-name>
Then uninstall the Helm chart, using the release name:
helm uninstall <release-name> -n <namespace>
Finally, delete any remaining resources, including the namespace:
kubectl delete pvc nginx-app-protect-shared-bundles-pvc -n <namespace>
kubectl delete pv nginx-app-protect-shared-bundles-pv
kubectl delete ns <namespace>
F5 WAF for NGINX supports multiple ways to define and reference security policies through APPolicy Custom Resources.
This flexibility allows you to choose the most appropriate approach based on your requirements.
There are three distinct approaches for defining WAF policies:
- Inline policy definition: Define the complete policy configuration directly within the Custom Resource specification.
- JSON policy reference: Reference a JSON policy file stored in the shared persistent volume.
- Precompiled bundle reference: Reference a precompiled policy bundle (.tgz file) stored in the shared persistent volume.
Inline policy definition allows you to specify the complete WAF policy configuration directly within the APPolicy Custom Resource.
This method provides full declarative management through Kubernetes manifests and is ideal for version-controlled policy configurations.
An example is as follows, in a file named inline-policy.yaml
:
apiVersion: appprotect.f5.com/v1
kind: APPolicy
metadata:
name: dataguard-blocking-inline
namespace: <namespace>
spec:
policy:
name: dataguard_blocking_inline
template:
name: POLICY_TEMPLATE_NGINX_BASE
applicationLanguage: utf-8
enforcementMode: blocking
blocking-settings:
violations:
- name: VIOL_DATA_GUARD
alarm: true
block: true
- name: VIOL_ATTACK_SIGNATURE
alarm: true
block: true
data-guard:
enabled: true
maskData: true
creditCardNumbers: true
usSocialSecurityNumbers: true
enforcementMode: ignore-urls-in-list
enforcementUrls: []
Apply the policy:
kubectl apply -f inline-policy.yaml
JSON policy reference allows you to store your policy configuration as a separate JSON file in the shared persistent volume and reference it from the APPolicy Custom Resource.
This method separates policy content from Kubernetes resource management while maintaining compilation automation.
To use JSON policy reference:
- The policy JSON file must be stored in the shared persistent volume
- The JSON file must be accessible at the specified path within the container
- The JSON file must have correct file permissions (readable by the Policy Controller)
The Policy Controller can automatically monitor policy files for changes and trigger recompilation when modifications are detected. This feature is controlled through the externalReferenceDetails.tracking
configuration:
tracking.enabled
: Enable/disable automatic file monitoring (default: true)tracking.intervalInSeconds
: Polling interval for file changes (default: 5 seconds)
To exemplify how this works, first create a policy JSON file in the shared volume.
This policy file is /mnt/nap5_bundles_pv_data/dg_policy.json
:
{
"name": "dataguard_blocking_json",
"template": {
"name": "POLICY_TEMPLATE_NGINX_BASE"
},
"applicationLanguage": "utf-8",
"enforcementMode": "blocking",
"blocking-settings": {
"violations": [
{
"name": "VIOL_DATA_GUARD",
"alarm": true,
"block": true
},
{
"name": "VIOL_ATTACK_SIGNATURE",
"alarm": true,
"block": true
}
]
},
"data-guard": {
"enabled": true,
"maskData": true,
"creditCardNumbers": true,
"usSocialSecurityNumbers": true,
"enforcementMode": "ignore-urls-in-list",
"enforcementUrls": []
},
"signature-settings": {
"signatureStaging": false
}
}
Create a second file named json-policy.yaml
:
apiVersion: appprotect.f5.com/v1
kind: APPolicy
metadata:
name: dataguard-blocking-ref
namespace: <namespace>
spec:
policy:
$ref: /etc/app_protect/bundles/dg_policy.json
externalReferenceDetails:
tracking:
enabled: true
intervalInSeconds: 10
Apply the APPolicy resource:
kubectl apply -f json-policy.yaml
There are a few considerations when creating your policy files:
- Container path: The
$ref
path must be the path as seen from within the Policy Controller container - Shared volume: The file must be in the shared persistent volume mounted to both Policy Controller and NGINX containers
- Default mount path: The shared volume is typically mounted at
/etc/app_protect/bundles
- Absolute paths: Always use absolute paths in the
$ref
field
Once you have applied the APPolicy custom resource, you can update the policy by modifying the JSON file:
- Edit the JSON file directly (Such as
/mnt/nap5_bundles_pv_data/dg_policy.json
) - Save your changes
- The Policy Controller automatically handles the rest
The Policy Controller resolves the change with the following steps:
- Automatic Detection: If tracking is enabled, file changes are detected automatically
- Recompilation Trigger: Policy Controller triggers automatic recompilation
- Status Updates: Custom Resource status reflects the new compilation state
- Bundle Replacement: New policy bundle replaces the previous version
You do not need to reapply the APPolicy resource when updating the JSON file.
The Policy Controller will detect the file changes and recompile automatically.
Precompiled bundle reference allows you to use policy bundles that have been pre-compiled using external WAF compiler tools.
This approach is useful for policies compiled outside of the Kubernetes environment or when integrating with external policy management systems.
To use a precompiled bundle reference:
- The precompiled bundle (.tgz) file must be stored in the shared persistent volume
- The bundle must be compatible with the current WAF Enforcer version
- The bundle file must have correct file permissions (readable by the Policy Controller)
Bundles are managed at the following stages:
- Validation phase: Policy Controller validates the bundle structure
- Deployment: Bundle is made available to NGINX containers
- Change detection: If tracking is enabled, bundle file changes trigger updates
- Status reporting: Custom Resource status shows bundle deployment state
The Policy Controller performs validation of precompiled bundles using apcompile --dump
to ensure:
- Bundle integrity: Verification that the bundle is properly formed
- Version compatibility: Confirmation that the bundle works with current enforcer
- Content validation: Basic checks on policy structure and syntax
To exemplify how this works, first ensure your precompiled policy bundle is available in the shared volume.
For example, place policy2.tgz
in /mnt/nap5_bundles_pv_data/
.
Then create a file named precompiled-bundle-policy.yaml
:
apiVersion: appprotect.f5.com/v1
kind: APPolicy
metadata:
name: dataguard-tgz
namespace: <namespace>
spec:
policy:
$ref: /etc/app_protect/bundles/policy2.tgz
externalReferenceDetails:
tracking:
enabled: true
intervalInSeconds: 10
Apply the new APPolicy resource:
kubectl apply -f precompiled-bundle-policy.yaml
Once the APPolicy Custom Resource has been applied, updating your policy bundle is straightforward:
- Replace the existing bundle file with your new bundle (keeping the same filename)
- For example, replace
/mnt/nap5_bundles_pv_data/policy2.tgz
with your updated bundle - The Policy Controller automatically handles the rest
The Policy Controller resolves the change with the following steps:
- Change detection: If tracking is enabled, the Policy Controller detects the file modification
- Revalidation: The new bundle is validated using
apcompile --dump
- Deployment: If validation passes, the new bundle is deployed
- Status updates: Custom Resource status reflects the new validation and deployment state
You do not need to reapply the APPolicy resource when replacing the file.
Replace the bundle file with another (With the exact same name).
The Policy Controller will detect the file changes and recompile automatically.
Regardless of the policy type used, you can monitor the status of your policies using standard Kubernetes commands:
kubectl get appolicy -n <namespace>
kubectl describe appolicy <policy-name> -n <namespace>
kubectl get appolicy <policy-name> -n <namespace> -o yaml
All policy types provide similar status information:
status.bundle.state
: Policy compilation/validation state (ready
,processing
,error
)status.bundle.location
: Path to the deployed policy bundlestatus.bundle.compilerVersion
: Version of the compiler usedstatus.bundle.signatures
: Signature package timestampsstatus.processing.isCompiled
: Compilation success indicatorstatus.processing.datetime
: Last processing timestamp
Status output may look similar to the following:
status:
bundle:
compilerVersion: 11.553.0
location: /etc/app_protect/bundles/dataguard-blocking-ref-policy/dataguard-blocking-ref_policy20250925101234.tgz
signatures:
attackSignatures: "2025-09-20T08:36:25Z"
botSignatures: "2025-09-20T10:50:19Z"
threatCampaigns: "2025-09-18T07:28:43Z"
state: ready
processing:
datetime: "2025-09-25T10:12:45Z"
isCompiled: true
Policy Controller does not start
- Verify the CRDs are installed:
kubectl get crds | grep appprotect.f5.com
- Check the pod logs:
kubectl logs <policy-controller-pod> -n <namespace>
- Ensure proper RBAC permissions are configured
Policies fail to compile
- Check Policy Controller logs for compilation errors
- Verify the WAF compiler image is accessible
- Ensure the policy syntax is valid
Issues with bundle storage
- Verify the persistent volume is properly mounted
- Check storage permissions (Should be 101:101)
- Confirm PVC is bound to the correct PV