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-# hdp-kubernetes-poc
+# hdp-kubernetes-preview
 Hybrid Data Pipeline HELM Charts
+
+# Hybrid Data Pipeline Kubernetes Helm Chart
+
+This repository contains a Helm Chart that can be used to deploy Hybrid Data Pipeline on a Kubernetes cluster. Below is a brief description of how to easily create a Hybrid Data Pipeline StatefulSet for development and testing.
+
+## Getting Started
+
+### Prerequisites
+
+[Helm](https://helm.sh/docs/intro/install/), [Kubectl](https://kubernetes.io/docs/tasks/tools/), [AzureCLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli) must be installed locally in order to use this chart.
+
+In this release, the Helm chart is supported in Azure Kubernetes Service.
+
+### Kubernetes Version
+
+This Helm-chart currently support Kubernetes 1.27 or later.
+ 
+### Installing Hybrid Data Pipeline Helm Chart
+
+This below example Helm Chart installation will create a two-node Hybrid Data Pipeline cluster with a "Default" group. A 1GB persistent volume, 2 vCPUs, and 4GB of RAM will be allocated for the pod.
+
+1. Add Hybrid Data Pipeline Repo to Helm:
+```
+helm repo add hybriddatapipeline https://github.com/progress/hdp-kubernetes-preview
+```
+2. Create a Kubernetes namespace:
+```
+kubectl create namespace hybriddatapipeline
+```
+3. The Hybrid Data Pipeline Helm Chart relies on two sub-charts, namely PostgreSQL and HAProxy.
+
+To download the dependencies of the chart, execute:
+```
+helm dependency build
+```
+This action will retrieve the chart to /charts.
+
+4. When installing the Helm Chart, the secrets for PostgreSQL and Hybrid Data Pipeline are required to be created. To create secrets:
+```
+kubectl create secret secrets/hdp-secrets.yaml
+kubectl create secret secrets/postgres-secrets.yaml
+```
+
+5. Adjust the settings in the values.yaml file to create a two-node Hybrid Data Pipeline cluster with a minimum resource allocation of 2 vCPUs, 8 GB RAM, and 100 GB storage for Hybrid Data Pipeline Server. For detailed guidance, refer to the Hybrid Data Pipeline Product Requirements Documentation.
+
+Utilize the latest Hybrid Data Pipeline Server Docker image for the new implementation as specified in the values.yaml file. To access the most recent image available, consult Progress ESD.
+
+If necessary, push the Hybrid Data Pipeline Server Docker image to a container registry and update the image.repository and image.tag values accordingly.
+
+Should you desire HAProxy Load Balancer service for serving Hybrid Data Pipeline Server pod containers, perform these actions:
+    Specify an FQDN name in hdp.loadbalancer.hostName.
+    Set haproxy.kubernetesIngress.enabled to true (default is true).
+
+```
+## Progress DataDirect Hybrid Data Pipeline Server parameters
+hdp:
+
+  # Number of HDP nodes
+  replicaCount: 2
+
+  ## Progress DataDirect Hybrid Data Pipeline Server image parameters
+  image:
+    repository: 
+    tag: 
+    pullPolicy: IfNotPresent
+    
+  ## Progress DataDirect Hybrid Data Pipeline Server Container persistence parameters
+  persistence:    
+    mountPath: /hdpshare
+    size: 1Gi
+    storageClassName: azurefile-csi
+
+  ## Progress DataDirect Hybrid Data Pipeline Server Container resources parameters
+  resources:
+    requests:
+      memory: "4096Mi"
+      cpu: "2000m"
+    limits:
+      memory: "8096Mi"
+      cpu: "4000m"
+
+  ## Progress DataDirect Hybrid Data Pipeline Server License parameters
+  licenseKey:
+  
+  ## Progress DataDirect Hybrid Data Pipeline Server Container load balancer parameters
+  loadbalancer:
+    hostName: 
+```
+6. Install the Hybrid Data Pipeline Helm Chart with the above custom settings.
+```
+helm install my-release hdp-kubernetes-preview/hybriddatapipeline --values values.yaml --namespace=hybriddatapipeline
+```
+Once the installation is complete and the pod is in a running state, the Hybrid Data Pipeline can be accessed using hostname as configured for the hdp.loadbalancer.hostName in values.yaml
+****