Published: May 27, 2021 by Isaac Johnson
One of the challenges to exposing Daprworkflows, or any Kubernetes based flow really, is securing it. We generally want to avoid enabling business logic orchestration that can be invoked unauthenticated. Luckily there are solutions for this problem.
Today we’ll explore using both Basic Auth and DaprAPI tokens to restrict access to your rest based services and see how that is used in practice. We’ll go over AKS as well as what can be done on-prem.
Our starting point
Let’s look at what we built last time. We created a containerized Twitter API microservice (“Tweeter”) that was invoked via Dapr by a Dapr Workflow (that implements Logic App flows). We then exposed that as a service that is tied to a Kubernetes Ingress and serviced by our Nginx Ingress controller. We used Cert Manager to get a free LE TLS.
Essentially we exposed a Dapr Workflow to call a Dapr service to Tweet for us. However, anyone could hit that public endpoint and send out tweets. Probably not something we would want to keep open.
AKS Setup
Let’s start by creating AKS Cluster running 1.19.9. First, like normal, create a resource group to hold an AKS cluster.
$ az account set --subscription 70b42e6a-asdf-asdf-asfd-9f3995b1aca8
JOHNSI10-C02ZC3P6LVDQ:blog-dapr-workflow johnsi10$ az group create --name idjtestingressrg --location centralus
{
"id": "/subscriptions/70b42e6a-asdf-asdf-asdf-9f3995b1aca8/resourceGroups/idjtestingressrg",
"location": "centralus",
"managedBy": null,
"name": "idjtestingressrg",
"properties": {
"provisioningState": "Succeeded"
},
"tags": null,
"type": "Microsoft.Resources/resourceGroups"
}
We will just re-use an existing SP (no need to recreate for a test AKS)
$ echo "re-use existing sp" && az ad sp create-for-rbac -n idjaks04sp --skip-assignment --output json > my_sp.json
re-use existing sp
Changing "idjaks04sp" to a valid URI of "http://idjaks04sp", which is the required format used for service principal names
Found an existing application instance of "4d3b5455-8ab1-4dc3-954b-39daed1cd954". We will patch it
The output includes credentials that you must protect. Be sure that you do not include these credentials in your code or check the credentials into your source control. For more information, see https://aka.ms/azadsp-cli
However, before we create the cluster, since this account is part of a proper AAD tenant, let’s use some of the newer AAD support in AKS create. I’ll look up my own user and find a group of which I’m a member in AAD
We need the Object ID of the DL that is our Management Group out of AAD
The other piece we need is the Tenant ID which is the overall container of this organizations Subscriptions
We can now set the Service Principal vars.
$ export SP_PASS=`cat my_sp.json | jq -r .password`
$ export SP_ID=`cat my_sp.json | jq -r .appId`
Creating the cluster
$ az aks create --resource-group idjtestingressrg --name idjaks04b --location centralus --node-count 3 --enable-cluster-autoscaler --min-count 2 --max-count 4 --generate-ssh-keys --network-plugin azure --network-policy azure --service-principal $SP_ID --client-secret $SP_PASS --enable-aad --aad-admin-group-object-ids e7dd3ea0-a722-481c-92b6-4aa86e454436 --aad-tenant-id d73123-1234-1234-1234-1234aedaeda8
- Running ..
As one command:
$ az account set --subscription 70b42e6a-asdf-asdf-asdf-9f3995b1aca8
$ az group create --name idjtestingressrg --location centralus && echo "re-use existing sp" && az ad sp create-for-rbac -n idjaks04sp --skip-assignment --output json > my_sp.json
$ export SP_ID=`cat my_sp.json | jq -r .appId`
$ az aks create --resource-group idjtestingressrg --name idjaks04b --location centralus --node-count 3 --enable-cluster-autoscaler --min-count 2 --max-count 4 --generate-ssh-keys --network-plugin azure --network-policy azure --service-principal $SP_ID --client-secret $SP_PASS --enable-aad --aad-admin-group-object-ids e7dd3ea0-a722-481c-92b6-4aa86e454436 --aad-tenant-id d73123-1234-1234-1234-1234aedaeda8
Creating the Ingress
The simplest path is to install an Nginx ingress controller into its own namespace:
$ kubectl create namespace ingress-basic
namespace/ingress-basic created
$ helm repo add ingress-nginx https://kubernetes.github.io/ingress-nginx
$ helm install nginx-ingress ingress-nginx/ingress-nginx --namespace ingress-basic --set controller.replicaCount=2 --set controller.nodeSelector."beta\.kubernetes\.io/os"=linux --set defaultBackend.nodeSelector."beta\.kubernetes\.io/os"=linux --set controller.admissionWebhooks.patch.nodeSelector."beta\.kubernetes\.io/os"=linux
NAME: nginx-ingress
LAST DEPLOYED: Wed May 26 18:53:19 2021
NAMESPACE: ingress-basic
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
The ingress-nginx controller has been installed.
It may take a few minutes for the LoadBalancer IP to be available.
You can watch the status by running 'kubectl --namespace ingress-basic get services -o wide -w nginx-ingress-ingress-nginx-controller'
An example Ingress that makes use of the controller:
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
annotations:
kubernetes.io/ingress.class: nginx
name: example
namespace: foo
spec:
rules:
- host: www.example.com
http:
paths:
- backend:
serviceName: exampleService
servicePort: 80
path: /
# This section is only required if TLS is to be enabled for the Ingress
tls:
- hosts:
- www.example.com
secretName: example-tls
If TLS is enabled for the Ingress, a Secret containing the certificate and key must also be provided:
apiVersion: v1
kind: Secret
metadata:
name: example-tls
namespace: foo
data:
tls.crt: <base64 encoded cert>
tls.key: <base64 encoded key>
type: kubernetes.io/tls
$ kubectl get svc --all-namespaces
NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
default kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 12m
ingress-basic nginx-ingress-ingress-nginx-controller LoadBalancer 10.0.3.75 52.154.56.244 80:32200/TCP,443:32037/TCP 62s
ingress-basic nginx-ingress-ingress-nginx-controller-admission ClusterIP 10.0.37.196 <none> 443/TCP 62s
kube-system kube-dns ClusterIP 10.0.0.10 <none> 53/UDP,53/TCP 11m
kube-system metrics-server ClusterIP 10.0.20.248 <none> 443/TCP 11m
kube-system npm-metrics-cluster-service ClusterIP 10.0.30.57 <none> 9000/TCP 11m
However, because we are going to want to engage with our services running in ‘default’ directly, we will install the ingress controller in the default namespace. It’s worth noting that as I tested, i discovered this after having created foo2 hence I created foo3 A record.
# if you already installed in basic namespace, remove it
$ helm delete nginx-ingress -n ingress-basic
$ helm install nginx-ingress ingress-nginx/ingress-nginx --set controller.replicaCount=1 --set controller.nodeSelector."beta\.kubernetes\.io/os"=linux --set defaultBackend.nodeSelector."beta\.kubernetes\.io/os"=linux --set controller.admissionWebhooks.patch.nodeSelector."beta\.kubernetes\.io/os"=linux
NAME: nginx-ingress
LAST DEPLOYED: Wed May 26 20:25:23 2021
NAMESPACE: default
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
The ingress-nginx controller has been installed.
It may take a few minutes for the LoadBalancer IP to be available.
You can watch the status by running 'kubectl --namespace default get services -o wide -w nginx-ingress-ingress-nginx-controller'
An example Ingress that makes use of the controller:
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
annotations:
kubernetes.io/ingress.class: nginx
name: example
namespace: foo
spec:
rules:
- host: www.example.com
http:
paths:
- backend:
serviceName: exampleService
servicePort: 80
path: /
# This section is only required if TLS is to be enabled for the Ingress
tls:
- hosts:
- www.example.com
secretName: example-tls
If TLS is enabled for the Ingress, a Secret containing the certificate and key must also be provided:
apiVersion: v1
kind: Secret
metadata:
name: example-tls
namespace: foo
data:
tls.crt: <base64 encoded cert>
tls.key: <base64 encoded key>
type: kubernetes.io/tls
$ kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
..snip...
nginx-ingress-ingress-nginx-controller LoadBalancer 10.0.217.152 20.83.9.230 80:31772/TCP,443:31503/TCP 2m27s
nginx-ingress-ingress-nginx-controller-admission ClusterIP 10.0.115.233 <none> 443/TCP 2m27s
...snip...
To get the TLS setup we will need to add the Cert Manager for LE certs
First install the CRDs for a 1.19.x cluster
$ kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.3.1/cert-manager.crds.yaml
customresourcedefinition.apiextensions.k8s.io/certificaterequests.cert-manager.io configured
customresourcedefinition.apiextensions.k8s.io/certificates.cert-manager.io configured
customresourcedefinition.apiextensions.k8s.io/challenges.acme.cert-manager.io configured
customresourcedefinition.apiextensions.k8s.io/clusterissuers.cert-manager.io configured
customresourcedefinition.apiextensions.k8s.io/issuers.cert-manager.io configured
customresourcedefinition.apiextensions.k8s.io/orders.acme.cert-manager.io configured
Now add the Jetstack Helm repo and update
$ helm repo add jetstack https://charts.jetstack.io
"jetstack" has been added to your repositories
$ helm repo update
Hang tight while we grab the latest from your chart repositories...
...Successfully got an update from the "nginx-stable" chart repository
...Successfully got an update from the "kedacore" chart repository
...Successfully got an update from the "ingress-nginx" chart repository
...Successfully got an update from the "jetstack" chart repository
...Successfully got an update from the "datawire" chart repository
Update Complete. ⎈Happy Helming!⎈
And then install
$ helm install \
> cert-manager jetstack/cert-manager \
> --namespace cert-manager \
> --create-namespace \
> --version v1.3.1
NAME: cert-manager
LAST DEPLOYED: Wed May 26 19:01:05 2021
NAMESPACE: cert-manager
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
cert-manager has been deployed successfully!
In order to begin issuing certificates, you will need to set up a ClusterIssuer
or Issuer resource (for example, by creating a 'letsencrypt-staging' issuer).
More information on the different types of issuers and how to configure them
can be found in our documentation:
https://cert-manager.io/docs/configuration/
For information on how to configure cert-manager to automatically provision
Certificates for Ingress resources, take a look at the `ingress-shim`
documentation:
https://cert-manager.io/docs/usage/ingress/
We can test with a self signed cert
$ cat <<EOF > test-resources.yaml
> apiVersion: v1
> kind: Namespace
> metadata:
> name: cert-manager-test
> ---
> apiVersion: cert-manager.io/v1
> kind: Issuer
> metadata:
> name: test-selfsigned
> namespace: cert-manager-test
> spec:
> selfSigned: {}
> ---
> apiVersion: cert-manager.io/v1
> kind: Certificate
> metadata:
> name: selfsigned-cert
> namespace: cert-manager-test
> spec:
> dnsNames:
> - example.com
> secretName: selfsigned-cert-tls
> issuerRef:
> name: test-selfsigned
> EOF
$ kubectl apply -f test-resources.yaml
namespace/cert-manager-test created
issuer.cert-manager.io/test-selfsigned created
certificate.cert-manager.io/selfsigned-cert created
This shows that Cert Manager is running
$ kubectl get certificate -n cert-manager-test
NAME READY SECRET AGE
selfsigned-cert True selfsigned-cert-tls 96s
We next need to create our LetsEncrypt Prod cluster Issuer
apiVersion: cert-manager.io/v1alpha2
kind: ClusterIssuer
metadata:
name: letsencrypt-prod
namespace: default
spec:
acme:
# The ACME server URL
server: https://acme-v02.api.letsencrypt.org/directory
# Email address used for ACME registration
email: isaac.johnson@gmail.com
# Name of a secret used to store the ACME account private key
privateKeySecretRef:
name: letsencrypt-prod
# Enable the HTTP-01 challenge provider
solvers:
- http01:
ingress:
class: nginx
and apply it
$ kubectl apply -f le-prod.yaml
clusterissuer.cert-manager.io/letsencrypt-prod created
At this point, I jumped over to Route53 and added DNS entries for foo2 and foo3.freshbrewed.science to point to my external IP. Once those A records were there, i came back to create the Cert request
apiVersion: cert-manager.io/v1alpha2
kind: Certificate
metadata:
name: foo2-freshbrewed.science
namespace: default
spec:
secretName: foo2.freshbrewed.science-cert
issuerRef:
name: letsencrypt-prod
kind: ClusterIssuer
commonName: foo2.freshbrewed.science
dnsNames:
- foo2.freshbrewed.science
acme:
config:
- http01:
ingressClass: nginx
domains:
- foo2.freshbrewed.science
$ kubectl apply -f foo2-fb-science-cert.yaml --validate=false
certificate.cert-manager.io/foo2-freshbrewed.science created
$ kubectl get certificate
NAME READY SECRET AGE
foo2-freshbrewed.science True foo2.freshbrewed.science-cert 28s
And our other cert is pretty much the same
apiVersion: cert-manager.io/v1alpha2
kind: Certificate
metadata:
name: foo3-freshbrewed.science
namespace: default
spec:
secretName: foo3.freshbrewed.science-cert
issuerRef:
name: letsencrypt-prod
kind: ClusterIssuer
commonName: foo3.freshbrewed.science
dnsNames:
- foo3.freshbrewed.science
acme:
config:
- http01:
ingressClass: nginx
domains:
- foo3.freshbrewed.science
And apply it
$ kubectl apply -f foo3-fb-science-cert.yaml --validate=false
certificate.cert-manager.io/foo3-freshbrewed.science created
$ kubectl get cert
NAME READY SECRET AGE
foo2-freshbrewed.science True foo2.freshbrewed.science-cert 84m
foo3-freshbrewed.science False foo3.freshbrewed.science-cert 15s
$ kubectl get cert
NAME READY SECRET AGE
foo2-freshbrewed.science True foo2.freshbrewed.science-cert 85m
foo3-freshbrewed.science True foo3.freshbrewed.science-cert 47s
Dapr install
Since this is a brand new cluster, we also need to setup Dapr in it.
$ dapr init -k -n default
⌛ Making the jump to hyperspace...
ℹ️ Note: To install Dapr using Helm, see here: https://docs.dapr.io/getting-started/install-dapr-kubernetes/#install-with-helm-advanced
✅ Deploying the Dapr control plane to your cluster...
✅ Success! Dapr has been installed to namespace default. To verify, run `dapr status -k' in your terminal. To get started, go here: https://aka.ms/dapr-getting-started
They have a helm chart as well, but i generally use -k as shown above
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
dapr-dashboard-76cc799b78-68bdz 1/1 Running 0 20s
dapr-operator-5d45c778c4-d4bvq 1/1 Running 0 20s
dapr-placement-server-0 1/1 Running 0 20s
dapr-sentry-68776c58b5-wsbgn 1/1 Running 0 20s
dapr-sidecar-injector-66c878c8b-vqjqq 1/1 Running 0 20s
We will setup a few services right off, including Redis
Add the bitnami chart repo and update
$ helm repo add bitnami https://charts.bitnami.com/bitnami
"bitnami" has been added to your repositories
$ helm repo update
Hang tight while we grab the latest from your chart repositories...
...Successfully got an update from the "kedacore" chart repository
...Successfully got an update from the "ingress-nginx" chart repository
...Successfully got an update from the "nginx-stable" chart repository
...Successfully got an update from the "jetstack" chart repository
...Successfully got an update from the "bitnami" chart repository
...Successfully got an update from the "datawire" chart repository
Update Complete. ⎈Happy Helming!⎈
Then install
$ helm install redis bitnami/redis
NAME: redis
LAST DEPLOYED: Wed May 26 19:14:31 2021
NAMESPACE: default
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
**Please be patient while the chart is being deployed**
Redis(TM) can be accessed on the following DNS names from within your cluster:
redis-master.default.svc.cluster.local for read/write operations (port 6379)
redis-replicas.default.svc.cluster.local for read-only operations (port 6379)
To get your password run:
export REDIS_PASSWORD=$(kubectl get secret --namespace default redis -o jsonpath="{.data.redis-password}" | base64 --decode)
To connect to your Redis(TM) server:
1. Run a Redis(TM) pod that you can use as a client:
kubectl run --namespace default redis-client --restart='Never' --env REDIS_PASSWORD=$REDIS_PASSWORD --image docker.io/bitnami/redis:6.2.3-debian-10-r18 --command -- sleep infinity
Use the following command to attach to the pod:
kubectl exec --tty -i redis-client \
--namespace default -- bash
2. Connect using the Redis(TM) CLI:
redis-cli -h redis-master -a $REDIS_PASSWORD
redis-cli -h redis-replicas -a $REDIS_PASSWORD
To connect to your database from outside the cluster execute the following commands:
kubectl port-forward --namespace default svc/redis-master 6379:6379 &
redis-cli -h 127.0.0.1 -p 6379 -a $REDIS_PASSWORD
Now we can apply our Redis instance for Dapr. This is used by Pub/Sub services
$ cat redis.yaml
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: statestore
namespace: default
spec:
type: state.redis
version: v1
metadata:
- name: redisHost
value: redis-master.default.svc.cluster.local:6379
- name: redisPassword
secretKeyRef:
name: redis
key: redis-password
$ kubectl apply -f redis.yaml
component.dapr.io/statestore created
In fact, just so we have some services to use, let’s fire up the quickstart on that
$ git clone https://github.com/dapr/quickstarts.git
Cloning into 'quickstarts'...
remote: Enumerating objects: 2480, done.
remote: Counting objects: 100% (182/182), done.
remote: Compressing objects: 100% (109/109), done.
remote: Total 2480 (delta 98), reused 133 (delta 66), pack-reused 2298
Receiving objects: 100% (2480/2480), 10.09 MiB | 7.64 MiB/s, done.
Resolving deltas: 100% (1462/1462), done.
$ cd quickstarts/pub-sub/deploy
$ kubectl apply -f .
deployment.apps/node-subscriber created
deployment.apps/python-subscriber created
service/react-form created
deployment.apps/react-form created
component.dapr.io/pubsub configured
And AKS generously gave us a nice Public IP for the React Form (probably not something we would want to keep public like that)
$ kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
dapr-api ClusterIP 10.0.169.89 <none> 80/TCP 5m12s
dapr-dashboard ClusterIP 10.0.116.59 <none> 8080/TCP 5m12s
dapr-placement-server ClusterIP None <none> 50005/TCP,8201/TCP 5m12s
dapr-sentry ClusterIP 10.0.24.217 <none> 80/TCP 5m12s
dapr-sidecar-injector ClusterIP 10.0.55.9 <none> 443/TCP 5m12s
kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 35m
node-subscriber-dapr ClusterIP None <none> 80/TCP,50001/TCP,50002/TCP,9090/TCP 6s
python-subscriber-dapr ClusterIP None <none> 80/TCP,50001/TCP,50002/TCP,9090/TCP 6s
react-form LoadBalancer 10.0.247.142 52.154.203.93 80:31758/TCP 6s
react-form-dapr ClusterIP None <none> 80/TCP,50001/TCP,50002/TCP,9090/TCP 6s
redis-headless ClusterIP None <none> 6379/TCP 3m51s
redis-master ClusterIP 10.0.120.193 <none> 6379/TCP 3m51s
redis-replicas ClusterIP 10.0.223.203 <none> 6379/TCP 3m51s
I should point out that i first exposed the foo2 ingress:
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: ingress-with-auth
annotations:
kubernetes.io/ingress.class: nginx
# type of authentication
nginx.ingress.kubernetes.io/auth-type: basic
# name of the secret that contains the user/password definitions
nginx.ingress.kubernetes.io/auth-secret: basic-auth
# message to display with an appropriate context why the authentication is required
nginx.ingress.kubernetes.io/auth-realm: 'Authentication Required - foo'
spec:
rules:
- host: foo2.freshbrewed.science
http:
paths:
- path: /
backend:
serviceName: workflows-dapr
servicePort: 80
tls:
- hosts:
- foo2.freshbrewed.science
secretName: foo2.freshbrewed.science-cert
but then realized that i both used the wrong nginx label and namespace which is why class didnt line up
$ kubectl get ingress
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
NAME CLASS HOSTS ADDRESS PORTS AGE
ingress-with-auth <none> foo2.freshbrewed.science 52.154.56.244 80, 443 24m
Set up the Workflow System
We need to get a storage account
$ az storage account list -o table
AccessTier AllowBlobPublicAccess CreationTime EnableHttpsTrafficOnly Kind Location MinimumTlsVersion Name PrimaryLocation ProvisioningState ResourceGroup StatusOfPrimary SecondaryLocation StatusOfSecondary
------------ ----------------------- -------------------------------- ------------------------ ----------- ---------- ------------------- ------------------ ----------------- ------------------- --------------- ----------------- ------------------- -------------------
...snip...
Hot 2020-11-24T17:13:23.329093+00:00 True StorageV2 centralus idjdemoaksstorage centralus Succeeded idjdemoaks available eastus2 available
Hot 2020-11-24T18:06:05.110478+00:00 True StorageV2 centralus idjdemoaksstorage2 centralus Succeeded idjdemoaks available eastus2 available
Let’s use an existing Demo storage account.
$ export STORAGE_ACCOUNT_NAME=idjdemoaksstorage
$ export STORAGE_ACCOUNT_RG=idjdemoaks
$ export STORAGE_ACCOUNT_KEY=`az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $STORAGE_ACCOUNT_RG -o json | jq -r '.[] | .value' | head -n1 | tr -d '\n'`
Let’s clone the Workflow example repo for our next steps
builder@DESKTOP-72D2D9T:~/Workspaces$ git clone https://github.com/dapr/workflows.git
Cloning into 'workflows'...
remote: Enumerating objects: 974, done.
remote: Counting objects: 100% (45/45), done.
remote: Compressing objects: 100% (28/28), done.
remote: Total 974 (delta 17), reused 22 (delta 12), pack-reused 929
Receiving objects: 100% (974/974), 124.11 MiB | 7.98 MiB/s, done.
Resolving deltas: 100% (438/438), done.
builder@DESKTOP-72D2D9T:~/Workspaces$ cd workflows/
builder@DESKTOP-72D2D9T:~/Workspaces/workflows$ kubectl create configmap workflows --from-file ./samples/workflow1.json
configmap/workflows created
We need the storage account secret for the workflow steps
$ kubectl create secret generic dapr-workflows --from-literal=accountName=$STORAGE_ACCOUNT_NAME --from-literal=accountKey=$STORAGE_ACCOUNT_KEY
secret/dapr-workflows created
Now deploy the workflow service
builder@DESKTOP-72D2D9T:~/Workspaces/workflows$ kubectl apply -f deploy/deploy.yaml
deployment.apps/dapr-workflows-host created
We can do a quick sanity check
$ kubectl port-forward deploy/dapr-workflows-host 3500:3500
Forwarding from 127.0.0.1:3500 -> 3500
Forwarding from [::1]:3500 -> 3500
Handling connection for 3500
Handling connection for 3500
Quick Note: if you have enabled api-token support, then you’ll get a window like this:
The api-token-secret annotation controls this behavior.
metadata:
annotations:
dapr.io/api-token-secret: dapr-api-token
dapr.io/app-id: workflows
dapr.io/app-port: "50003"
dapr.io/app-protocol: grpc
dapr.io/enabled: "true"
Otherwise, you should get a simple happy path with workflow1
Setup basic auth in ingress
$ sudo apt install apache2-utils
$ htpasswd -c auth foo
$ kubectl create secret generic basic-auth --from-file=auth
Let’s now use our Cert and DNS name to route TLS traffic into our cluster
$ cat ingress-with-auth-foo3.yaml
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: ingress-with-auth
annotations:
kubernetes.io/ingress.class: nginx
# type of authentication
nginx.ingress.kubernetes.io/auth-type: basic
# name of the secret that contains the user/password definitions
nginx.ingress.kubernetes.io/auth-secret: basic-auth
# message to display with an appropriate context why the authentication is required
nginx.ingress.kubernetes.io/auth-realm: 'Authentication Required - foo'
spec:
rules:
- host: foo3.freshbrewed.science
http:
paths:
- path: /
backend:
serviceName: workflows-dapr
servicePort: 80
tls:
- hosts:
- foo3.freshbrewed.science
secretName: foo3.freshbrewed.science-cert
$ kubectl apply -f ingress-with-auth-foo3.yaml
Warning: networking.k8s.io/v1beta1 Ingress is deprecated in v1.19+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
ingress.networking.k8s.io/ingress-with-auth configured
It’s these annotations that control enabling basic auth
nginx.ingress.kubernetes.io/auth-type: basic
nginx.ingress.kubernetes.io/auth-secret: basic-auth
With foo3 we can now see the password is prompted
And invalid entry will render
If we have the dapr-api-token disabled (not in the workflows annotation) we can expect a not found (since the workflows service only serves workflows on the v1.0 API URL)
Dapr API Token
Our next step will be to add a token requirement following https://docs.dapr.io/operations/security/api-token/
The first step is to get a JWT token: http://jwtbuilder.jamiekurtz.com/
Next, let’s create the API token in our namespace (in our case, default)
$ kubectl create secret generic dapr-api-token --from-literal=token=eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec
secret/dapr-api-token created
Verify it created
$ kubectl get secrets dapr-api-token -o yaml
apiVersion: v1
data:
token: ZVhBaU9pSktWMVFpTENKaGJHY2lPaUpJVXpJMU5pSjkuZXlKcGMzTWlPaUpQYm14cGJtVWdTbGRVSUVKMWFXeGtaWElpTENKcFlYUWlPakUyTWpFMU9UUTVNemNzSW1WNGNDSTZOREE0TXpBME5EVXpOeXdpWVhWa0lqb2labkpsYzJoaWNtVjNaV1F1YzJOcFpXNWpaU0lzSW5OMVlpSTZJbWx6WVdGalFHWnlaWE5vWW5KbGQyVmtMbk5qYVdWdVkyVWlMQ0pIYVhabGJrNWhiV1VpT2lKSmMyRmhZeUlzSWxOMWNtNWhiV1VpT2lKS2IyaHVjMjl1SWl3aVJXMWhhV3dpT2lKcGMyRmhZMEJtY21WemFHSnlaWGRsWkM1elkybGxibU5sSW4wLjg2cF90eEs3VHhhcFNyUXg1M0l6Z0hNaTNTUElpZnpaanBuXzZ5bk9IZWM=
kind: Secret
metadata:
creationTimestamp: "2021-05-27T01:13:53Z"
managedFields:
- apiVersion: v1
fieldsType: FieldsV1
fieldsV1:
f:data:
.: {}
f:token: {}
f:type: {}
manager: kubectl-create
operation: Update
time: "2021-05-27T01:13:53Z"
name: dapr-api-token
namespace: default
resourceVersion: "21872"
selfLink: /api/v1/namespaces/default/secrets/dapr-api-token
uid: 3eb5d068-ba90-4623-87d2-fc2d8312c034
We can always read it back from the secret
$ echo ZVhBaU9pSktWMVFpTENKaGJHY2lPaUpJVXpJMU5pSjkuZXlKcGMzTWlPaUpQYm14cGJtVWdTbGRVSUVKMWFXeGtaWElpTENKcFlYUWlPakUyTWpFMU9UUTVNemNzSW1WNGNDSTZOREE0TXpBME5EVXpOeXdpWVhWa0lqb2labkpsYzJoaWNtVjNaV1F1YzJOcFpXNWpaU0lzSW5OMVlpSTZJbWx6WVdGalFHWnlaWE5vWW5KbGQyVmtMbk5qYVdWdVkyVWlMQ0pIYVhabGJrNWhiV1VpT2lKSmMyRmhZeUlzSWxOMWNtNWhiV1VpT2lKS2IyaHVjMjl1SWl3aVJXMWhhV3dpT2lKcGMyRmhZMEJtY21WemFHSnlaWGRsWkM1elkybGxibU5sSW4wLjg2cF90eEs3VHhhcFNyUXg1M0l6Z0hNaTNTUElpZnpaanBuXzZ5bk9IZWM= | base64 --decode
eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec
We then nearly need to add it to our workflow deployment to enable it.
$ kubectl get deployment dapr-workflows-host -o yaml > dwh.dep.yaml
$ kubectl get deployment dapr-workflows-host -o yaml > dwh.dep.yaml.old
$ vi dwh.dep.yaml
$ diff -c dwh.dep.yaml dwh.dep.yaml.old
*** dwh.dep.yaml 2021-05-27 01:28:25.367379100 -0500
--- dwh.dep.yaml.old 2021-05-27 01:27:55.637379100 -0500
***************
***160,166****
metadata:
annotations:
dapr.io/app-id: workflows
- dapr.io/api-token-secret: "dapr-api-token"
dapr.io/app-port: "50003"
dapr.io/app-protocol: grpc
dapr.io/enabled: "true"
--- 160,165 ----
$ kubectl apply -f dwh.dep.yaml
deployment.apps/dapr-workflows-host configured
Now when we test our URL, once we pass basic auth, we get the error
Permutations
So let’s look at some permutations. If you wish to NOT have basic auth, just adding the api token will suffice:
$ curl -X GET -H "Content-Type: application/xml" -H "Accept: application/json" -H "dapr-api-token: eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec" https://foo3.freshbrewed.science/v1.0/invoke/workflows/method/workflow1
However, if you have basic auth enabled, that call will respond with:
<html>
<head><title>401 Authorization Required</title></head>
<body>
<center><h1>401 Authorization Required</h1></center>
<hr><center>nginx</center>
</body>
</html>
If you don’t pass the token OR if the token is expired/invalid, you’ll get the same error as our browser test gave us
$ curl -u foo:bar -X GET -H "Content-Type: application/xml" -H "Accept: application/json" -H "dapr-api-token: eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec" https://foo3.freshbrewed.science/v1.0/invoke/workflows/method/workflow3
invalid api token
That said, if we do both correct, then we should get a passing test:
$ curl -u foo:bar -X GET -H "Content-Type: application/xml" -H "Accept: application/json" -H "dapr-api-token: eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec" https://foo3.freshbrewed.science/v1.0/invoke/workflows/method/workflow1
{"value":"Hello from Logic App workflow running with Dapr!"}
Workflows calling Workflows
We will setup the workflow3 with our Dapr app-id.
However, if we don’t have it hardcoded in the get field, we can expect the callback to itself to fail (since the workflow endpoint requires it)
$ curl -u foo:bar -X GET -H "Content-Type: application/xml" -H "Accept: application/json" -H "dapr-api-token: eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec" https://foo3.freshbrewed.science/v1.0/invoke/workflows/method/workflow3
{
"error": {
"code": "NoResponse",
"message": "The server did not received a response from an upstream server. Request tracking id '08585795250225827997145858794CU00'."
}
Using the correct Dapr ID we can now have a workflow call another workflow, with authentication:
$ cat workflow3.json
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Compose": {
"type": "compose",
"runAfter": {},
"inputs": { "body": "Hello from Logic App workflow running with Dapr!" }
},
"triggerflow": {
"inputs": {
"headers": {
"dapr-api-token": "eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec"
},
"method": "GET",
"uri": "http://localhost:3500/v1.0/invoke/workflows/method/workflow1"
},
"runAfter": {
"Compose": [
"Succeeded"
]
},
"type": "Http"
},
"Response": {
"inputs": {
"body": {
"value": "@body('compose')"
},
"statusCode": 200
},
"runAfter": { "triggerflow": ["Succeeded"] },
"type": "Response"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"manual": {
"inputs": {
"schema": {}
},
"kind": "Http",
"type": "Request"
}
}
}
}
Above we see workflow 3 calls 1 with the token (becuase we use localhost:3500 and that localhost, the workflow service, requires a Dapr API Token)
We can apply this to the CM and rotate the pod to get the new workflow to take effect
$ kubectl delete cm workflows && kubectl create configmap workflows --from-file ./samples/workflow1.json --from-file ./samples/workflow2.json --from-file ./samples/workflow3.json
configmap "workflows" deleted
configmap/workflows created
$ kubectl get pods | grep workf
dapr-workflows-host-85d9d74777-8s6xh 2/2 Running 0 34m
$ kubectl delete pods dapr-workflows-host-85d9d74777-8s6xh
pod "dapr-workflows-host-85d9d74777-8s6xh" deleted
Now when we test, we can get a proper result
$ curl -u foo:bar -X GET -H "Content-Type: application/xml" -H "Accept: application/json" -H "dapr-api-token: eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec" https://foo3.freshbrewed.science/v1.0/invoke/workflows/method/workflow3
{"value":"Hello from Logic App workflow running with Dapr!"}
This means we have finally implemented our model
Albeit we did not re-create the Tweeter Service. We merely had Workflow3 call Workflow1.
Using Dapr Tokens in externalized services
We’ll go back to our AzDO and work on adding the service hook back to our project
Using the standard webhook
We only want the webhook to fire when a successful merge happens on the blog.
This time we can use the token with the HTTP header ‘dapr-api-token’ when hitting https://workflows.freshbrewed.science/v1.0/invoke/workflows/method/workflow3
and you’ll want this token to match what is in workflow3 json
as defined in the headers block
If we had the Dapr Tweeter App setup, it would look like
"HTTP": {
"inputs": {
"headers": {
"dapr-api-token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJPbmxpbmUgSldUIEJ1aWxkZXIiLCJpYXQiOjE2MjE1OTQ5MzcsImV4cCI6NDA4MzA0NDUzNywiYXVkIjoiZnJlc2hicmV3ZWQuc2NpZW5jZSIsInN1YiI6ImlzYWFjQGZyZXNoYnJld2VkLnNjaWVuY2UiLCJHaXZlbk5hbWUiOiJJc2FhYyIsIlN1cm5hbWUiOiJKb2huc29uIiwiRW1haWwiOiJpc2FhY0BmcmVzaGJyZXdlZC5zY2llbmNlIn0.86p_txK7TxapSrQx53IzgHMi3SPIifzZjpn_6ynOHec"
},
"method": "GET",
"uri": "https://workflows.freshbrewed.science/v1.0/invoke/daprtweeter/method/tweet/freshbrewed.science%20updated%20with%20a%20new%20blog%20entry!"
},
"runAfter": {
"HTTP_Webhook": [
"Succeeded"
]
},
"type": "Http"
},
Cleanup
$ az aks list -o table
Name Location ResourceGroup KubernetesVersion ProvisioningState Fqdn
--------- ---------- ---------------- ------------------- ------------------- ------------------------------------------------------------------
idjaks04b centralus idjtestingressrg 1.19.9 Succeeded idjaks04b-idjtestingressrg-70b42e-bd9c7f78.hcp.centralus.azmk8s.io
$ az aks delete -n idjaks04b -g idjtestingressrg
Are you sure you want to perform this operation? (y/n): y
- Running ..
Trying to setup On-Prem cluster
I spent many days fighting to get my K3s to work. It’s my belief the problem lies either in Nginx and the older version i have in my cluster which did not respect the basic auth annotations OR that there exists a typo in my Dapr App ID.
We know the model works as we see it working above. You can read below about things I tried or scroll to the end for Summary.
I tried to use different NGinx’s with the hope a new Nginx would respect annotations or work better with the workflow model
# tweaking NGinx
# To get our ingress to be served by the new Nginx and not the old, we need to set our ingressClass to a different name..
$ helm upgrade nginx-ingress ingress-nginx/ingress-nginx --namespace ingress-basic --set controller.replicaCount=2 --set controller.nodeSelector."beta\.kubernetes\.io/os"=linux --set defaultBackend.nodeSelector."beta\.kubernetes\.io/os"=linux --set controller.admissionWebhooks.patch.nodeSelector."beta\.kubernetes\.io/os"=linux --set controller.admissionWebhooks.enabled=false --set controller.service.type=NodePort --set controller.service.externalIPs[0]=192.168.1.12 --set controller.ingressClass=nginxnew
As you see i used “nginxnew” as the classname
We can verify our Nginx deploy:
$ helm list -n ingress-basic
NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
nginx-ingress ingress-basic 5 2021-05-24 21:39:44.2763018 -0500 CDT deployed ingress-nginx-3.31.0 0.46.0
And see the rendered values:
$ helm get values nginx-ingress -n ingress-basic
USER-SUPPLIED VALUES:
controller:
admissionWebhooks:
enabled: false
patch:
nodeSelector:
beta.kubernetes.io/os: linux
ingressClass: nginxnew
nodeSelector:
beta.kubernetes.io/os: linux
replicaCount: 2
service:
externalIPs:
- 192.168.1.12
type: NodePort
defaultBackend:
nodeSelector:
beta.kubernetes.io/os: linux
Compared to our former/existing Nginx
$ helm list | head -n1 && helm list | grep my-release
NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
my-release default 2 2021-01-02 16:00:14.2231903 -0600 CST deployed nginx-ingress-0.7.1 1.9.1
$ helm get values my-release
USER-SUPPLIED VALUES:
controller:
defaultTLS:
secret: default/myk8s.tpk.best-cert
enableCustomResources: true
enableTLSPassthrough: true
logLevel: 3
nginxDebug: true
setAsDefaultIngress: true
useIngressClassOnly: false
watchNamespace: default
Now set it in the ingress definition:
$ cat ingress-with-auth-new.yaml
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: ingress-with-auth
annotations:
kubernetes.io/ingress.class: nginxnew
# type of authentication
nginx.ingress.kubernetes.io/auth-type: basic
# name of the secret that contains the user/password definitions
nginx.ingress.kubernetes.io/auth-secret: basic-auth
# message to display with an appropriate context why the authentication is required
nginx.ingress.kubernetes.io/auth-realm: 'Authentication Required - foo'
spec:
rules:
- host: workflows2.freshbrewed.science
http:
paths:
- path: /
backend:
serviceName: dapr-workflows-svc
servicePort: 80
tls:
- hosts:
- workflows2.freshbrewed.science
secretName: workflows2.freshbrewed.science-cert
This annotation should force the proper handler
kubernetes.io/ingress.class: nginxnew
Applying it
$ kubectl apply -f ingress-with-auth-new.yaml
$ kubectl get ingress
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
NAME CLASS HOSTS ADDRESS PORTS AGE
harbor-registry-harbor-ingress-notary nginx notary.freshbrewed.science 192.168.1.205 80, 443 18d
ingress-services <none> myk8s.tpk.pw,dapr-react.tpk.pw,myk8s.tpk.best + 1 more... 192.168.1.205 80, 443 52d
harbor-registry-harbor-ingress nginx harbor.freshbrewed.science 192.168.1.205 80, 443 18d
workflows-registry-workflows-ingress nginx workflows.freshbrewed.science 192.168.1.205 80, 443 3d20h
ingress-with-auth <none> workflows2.freshbrewed.science 192.168.1.12 80, 443 8h
We see that the new service got the IP for our new Nginx (192.168.1.12)
However, it’s not crossing the namespace boundary to find our service (or our TLS secret)
let’s try moving our new NGinx ingress into the default namespace to see our service
Omit “–namespace ingress-basic” from the invokation (and setAsDefaultIngress to false) and install to our default namespace
$ helm upgrade --install nginx-ingress ingress-nginx/ingress-nginx --set controller.replicaCount=1 --set controller.nodeSelector."beta\.kubernetes\.io/os"=linux --set defaultBackend.nodeSelector."beta\.kubernetes\.io/os"=linux --set controller.admissionWebhooks.patch.nodeSelector."beta\.kubernetes\.io/os"=linux --set controller.admissionWebhooks.enabled=false --set controller.service.type=NodePort --set controller.service.externalIPs[0]=192.168.1.12 --set controller.ingressClass=nginxnew --set controller.setAsDefaultIngress=false
Release "nginx-ingress" does not exist. Installing it now.
NAME: nginx-ingress
LAST DEPLOYED: Tue May 25 06:00:59 2021
NAMESPACE: default
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
The ingress-nginx controller has been installed.
Get the application URL by running these commands:
export HTTP_NODE_PORT=$(kubectl --namespace default get services -o jsonpath="{.spec.ports[0].nodePort}" nginx-ingress-ingress-nginx-controller)
export HTTPS_NODE_PORT=$(kubectl --namespace default get services -o jsonpath="{.spec.ports[1].nodePort}" nginx-ingress-ingress-nginx-controller)
export NODE_IP=$(kubectl --namespace default get nodes -o jsonpath="{.items[0].status.addresses[1].address}")
echo "Visit http://$NODE_IP:$HTTP_NODE_PORT to access your application via HTTP."
echo "Visit https://$NODE_IP:$HTTPS_NODE_PORT to access your application via HTTPS."
An example Ingress that makes use of the controller:
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
annotations:
kubernetes.io/ingress.class: nginxnew
name: example
namespace: foo
spec:
rules:
- host: www.example.com
http:
paths:
- backend:
serviceName: exampleService
servicePort: 80
path: /
# This section is only required if TLS is to be enabled for the Ingress
tls:
- hosts:
- www.example.com
secretName: example-tls
If TLS is enabled for the Ingress, a Secret containing the certificate and key must also be provided:
apiVersion: v1
kind: Secret
metadata:
name: example-tls
namespace: foo
data:
tls.crt: <base64 encoded cert>
tls.key: <base64 encoded key>
type: kubernetes.io/tls
Now let’s apply the ingress for workflows2.. this time we should have the secret (for basic-auth) and can view the service
$ kubectl apply -f ingress-with-auth-new.yaml
Warning: networking.k8s.io/v1beta1 Ingress is deprecated in v1.19+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
ingress.networking.k8s.io/ingress-with-auth created
getting the ingress
$ kubectl get ingress
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
NAME CLASS HOSTS ADDRESS PORTS AGE
harbor-registry-harbor-ingress-notary nginx notary.freshbrewed.science 192.168.1.205 80, 443 18d
ingress-services <none> myk8s.tpk.pw,dapr-react.tpk.pw,myk8s.tpk.best + 1 more... 192.168.1.205 80, 443 52d
harbor-registry-harbor-ingress nginx harbor.freshbrewed.science 192.168.1.205 80, 443 18d
workflows-registry-workflows-ingress nginx workflows.freshbrewed.science 192.168.1.205 80, 443 3d21h
ingress-with-auth <none> workflows2.freshbrewed.science 192.168.1.12 80, 443 61s
still getting old nginx.. lets try again
$ cat ingress-with-auth-new.yaml
#apiVersion: networking.k8s.io/v1beta1
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: ingress-with-auth
annotations:
#kubernetes.io/ingress.class: nginxnew
# type of authentication
nginx.ingress.kubernetes.io/auth-type: basic
# name of the secret that contains the user/password definitions
nginx.ingress.kubernetes.io/auth-secret: basic-auth
# message to display with an appropriate context why the authentication is required
nginx.ingress.kubernetes.io/auth-realm: 'Authentication Required - foo'
spec:
ingressClassName: nginxnew
rules:
- host: workflows2.freshbrewed.science
http:
paths:
- path: /
backend:
serviceName: dapr-workflows-svc
servicePort: 80
tls:
- hosts:
- workflows2.freshbrewed.science
secretName: workflows2.freshbrewed.science-cert
$ kubectl apply -f ingress-with-auth-new.yaml
$ kubectl get ingress
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
NAME CLASS HOSTS ADDRESS PORTS AGE
harbor-registry-harbor-ingress-notary nginx notary.freshbrewed.science 192.168.1.205 80, 443 18d
ingress-services <none> myk8s.tpk.pw,dapr-react.tpk.pw,myk8s.tpk.best + 1 more... 192.168.1.205 80, 443 52d
harbor-registry-harbor-ingress nginx harbor.freshbrewed.science 192.168.1.205 80, 443 18d
workflows-registry-workflows-ingress nginx workflows.freshbrewed.science 192.168.1.205 80, 443 3d21h
ingress-with-auth nginxnew workflows2.freshbrewed.science 192.168.1.12 80, 443 3m58s
Even tho i set the class name, the other nginx is intercepting traffic!
$ kubectl logs my-release-nginx-ingress-988695c44-h4bs4 | grep workflows2 | tail -n10
10.42.1.161 [25/May/2021:11:06:51 +0000] TCP 200 156 7 0.001 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:08:10 +0000] TCP 200 2404 2128 79.115 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:08:47 +0000] TCP 200 156 7 0.002 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:10:56 +0000] TCP 200 3143 2917 128.749 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:18:15 +0000] TCP 200 2868 7 0.007 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:18:15 +0000] TCP 200 2868 7 0.008 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:18:17 +0000] TCP 200 156 7 0.002 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:18:27 +0000] TCP 200 2868 7 0.005 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:19:22 +0000] TCP 200 4667 1469 67.240 "workflows2.freshbrewed.science"
10.42.1.161 [25/May/2021:11:19:38 +0000] TCP 200 4667 1481 70.561 "workflows2.freshbrewed.science"
One more idea… there is an old, rather unused ingress services that catches *.. since the invalid cert points to that old domain.. perhaps this is ‘catching’ my ingresses
Let’s remove that
$ kubectl get ingress ingress-services -o yaml > ingress.services.yaml
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
$ kubectl delete -f ingress.services.yaml
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
ingress.extensions "ingress-services" deleted
And now we should have just the known URLs (and classes)
$ kubectl get ingress
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
NAME CLASS HOSTS ADDRESS PORTS AGE
harbor-registry-harbor-ingress-notary nginx notary.freshbrewed.science 192.168.1.205 80, 443 18d
harbor-registry-harbor-ingress nginx harbor.freshbrewed.science 192.168.1.205 80, 443 18d
workflows-registry-workflows-ingress nginx workflows.freshbrewed.science 192.168.1.205 80, 443 3d21h
ingress-with-auth nginxnew workflows2.freshbrewed.science 192.168.1.12 80, 443 6m54s
.. still no luck.. lets rotate pods (foreshadowing: this will get worse, by the way)
builder@DESKTOP-JBA79RT:~/Workspaces/daprWorkflow$ kubectl get pods | grep nginx
svclb-my-release-nginx-ingress-cp4kw 0/2 Pending 0 5d9h
svclb-my-release-nginx-ingress-2vn8z 2/2 Running 0 5d9h
svclb-my-release-nginx-ingress-lx8hf 2/2 Running 0 5d9h
my-release-nginx-ingress-988695c44-h4bs4 1/1 Running 0 3d16h
nginx-ingress-ingress-nginx-controller-68cf8b69c-z88xd 1/1 Running 0 25m
builder@DESKTOP-JBA79RT:~/Workspaces/daprWorkflow$ kubectl delete pod nginx-ingress-ingress-nginx-controller-68cf8b69c-z88xd && kubectl delete pod my-release-nginx-ingress-988695c44-h4bs4 && kubectl delete pods -l app=svclb-my-release-nginx-ingress
pod "nginx-ingress-ingress-nginx-controller-68cf8b69c-z88xd" deleted
That not only didn’t work, but moved everything to the same IP!
nginx-ingress-ingress-nginx-controller NodePort 10.43.251.142 192.168.1.12 80:32546/TCP,443:30338/TCP 30m
my-release-nginx-ingress LoadBalancer 10.43.214.113 192.168.1.12 80:32300/TCP,443:32020/TCP 142d
builder@DESKTOP-JBA79RT:~/Workspaces/daprWorkflow$ kubectl get ingress
Warning: extensions/v1beta1 Ingress is deprecated in v1.14+, unavailable in v1.22+; use networking.k8s.io/v1 Ingress
NAME CLASS HOSTS ADDRESS PORTS AGE
ingress-with-auth nginxnew workflows2.freshbrewed.science 192.168.1.12 80, 443 13m
harbor-registry-harbor-ingress nginx harbor.freshbrewed.science 192.168.1.12 80, 443 18d
harbor-registry-harbor-ingress-notary nginx notary.freshbrewed.science 192.168.1.12 80, 443 18d
workflows-registry-workflows-ingress nginx workflows.freshbrewed.science 192.168.1.12 80, 443 3d21h
I might just have to upgrade Nginx , my main ingress, at this point
$ helm list
NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
..snip..
my-release default 2 2021-01-02 16:00:14.2231903 -0600 CST deployed nginx-ingress-0.7.1 1.9.1
nginx-ingress default 1 2021-05-25 06:00:59.0111771 -0500 CDT deployed ingress-nginx-3.31.0 0.46.0
I plan to continue to work on
Summary
We found some issues implementing this locally, but that was mostly due to an older Nginx and only one ingress. We explored implementing workflow endpoints directly, behind a basic auth and lastly with both basic auth and dapr app id. We looked at implementing workflows that call services and workflows that call workflows.
To address our problem, we could have used external services like Amazon SQS. In fact any Bindingthat has an Input Binding could trigger our workflow. Instead of a binding, we could use a pub/sub model as well to trigger multiple notifiers
The idea is to show how we could expose our services for real world uses and to that end, with a properly supported Nginx controller, it’s straightforward.