LinkedIn Connector Deployment using Helm

Requirements

Kubernetes. Deployment Planning
Storage Solution Storage Solution - Getting Started
CX Deployement Helm-based Deployment for Expertflow CX

Deployment

Create a linkedinmetadata Database in Postgres

CODE

kubectl exec -it ef-postgresql-0 -n ef-external -- psql -U sa -d postgres -c "CREATE DATABASE linkedinmetadata;"
kubectl exec -it ef-postgresql-0 -n ef-external -- psql -U sa -d postgres -c "CREATE DATABASE linkedincommentmetadata;"
// Enter postgres sa password by default it is Expertflow123

Add the Expertflow Helm charts repository.

CODE

helm repo add expertflow https://expertflow.github.io/charts

Update the charts repository

CODE

helm repo update expertflow

Clone linkdin-connector Repository

CODE

git clone -b CX-4.9.5 https://efcx:RecRpsuH34yqp56YRFUb@gitlab.expertflow.com/cim/cim-solution.git  CX-4.9.5

CODE

cd CX-4.9.5/kubernetes/

CX Channels

Customise the deployment by fetching the values.yaml file and edit it as per requirements.

CODE

vi helm/Channels/values.yaml

Edit/update the values file with

CODE

global:
  ingressRouter: <DEFAULT-FQDN>

Deploy the Channels helm chart by

CODE

helm upgrade --install --namespace expertflow  --set global.efCxReleaseName="ef-cx"   --debug   cx-channels --values  helm-values/cx-channels-custom-values.yaml  helm/Channels