In this scenario we are deploying a single API Manager instance in Kubernetes.
The configmap contains the configurations of API Manager node.
kubectl create -f 1-wso2apim-configmap.yaml
kubectl create -f 2-custom-pattern.yaml
To access the API Manager, add a host mapping entry to the /etc/hosts file. As we have exposed the API portal service in Node Port type, you can use the IP address of any Kubernetes node.
<Any K8s Node IP> wso2apim
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For Docker for Mac use "127.0.0.1" for the K8s node IP
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For Minikube, use minikube ip command to get the K8s node IP
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For GKE
(kubectl get nodes -o jsonpath='{ $.items[*].status.addresses[?(@.type=="ExternalIP")].address }')
- This will give the external IPs of the nodes available in the cluster. Pick any IP to include in /etc/hosts file.
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API Publisher : https://wso2apim:32001/publisher
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API Devportal : https://wso2apim:32001/devportal
In scenario 2 you can find the pattern-1 deployment of API Manager. By giving the pattern numbers, you can deploy those patterns. In custom patterns, you can come with your own pattern.
You can introduce a new custom pattern with any number of profiles.
There are several types of profiles:
* api-manager
* analytics-dashboard
* analytics-worker
- You can create any no.of profiles with given types.
- You can provide desired configuration values if you wish, if not provided it will take upon the default type specific configuration values.
- Under a profile, everything except name, type, service, and configMaps are optional fields.
- You need to create relevant configmaps and persistent volume claims and add them under deploymentConfigmap, synapseConfigs and executionPlans. If you do not specify any persistent volume claims, default ones will not be created unlike in Pattern 1. You would not need a NFS deployment in this case.
apiVersion: apim.wso2.com/v1alpha1
kind: APIManager
metadata:
name: cluster-1
spec:
pattern: Pattern-X
service:
type: NodePort
useMysql: "<true|false>"
profiles:
- name: <NEW_PROFILE_NAME>
type: api-manager
service:
name: <NEW_PROFILE_SERVICE_NAME>
deployment:
replicas: 1
minReadySeconds: 100
imagePullPolicy: Always
resources:
requests:
memory: 2Gi
cpu: 2000m
limits:
memory: 3Gi
cpu: 3000m
livenessProbe:
initialDelaySeconds: 240
failureThreshold: 3
periodSeconds: 10
readinessProbe:
initialDelaySeconds: 240
failureThreshold: 3
periodSeconds: 10
configMaps:
deploymentConfigMap: <NEW_PROFILE_DEPLOYMENT_CONFIGMAP>
persistentVolumeClaim:
synapseConfigs: <NEW_PROFILE_SYNAPSE_CONFIGS>
executionPlans: <NEW_PROFILE_EXECUTION_PLANS>