Update README.md

README.md

@@ -239,11 +239,25 @@ Notes:
 
 ### Production
 
+#### General information
+
 -   See [Setup Gauzy for Client Server](https://github.com/ever-co/ever-gauzy/wiki/Setup-Gauzy-for-Client-Server) for more information about production setup on your servers.
--   We recommend deploying to Kubernetes (k8s), either manually (see below) or with our [Ever Helm Charts](https://github.com/ever-co/ever-charts).
+
+#### Kubernetes
+
+-   We recommend deploying to Kubernetes (k8s), either manually (see below) or with our [Terraform Modules](https://github.com/ever-co/ever-gauzy-terraform) or [Ever Helm Charts](https://github.com/ever-co/ever-charts).
+-   For more simple deployment scenarios with k8s, please see [Kubernetes configurations](https://github.com/ever-co/ever-gauzy/tree/develop/.deploy/k8s), which we are using to deploy Gauzy into [DigitalOcean k8s cluster](https://www.digitalocean.com/products/kubernetes).
+
+#### DigitalOcean App Platform
+
 -   For the most simple deployment scenarios (e.g. for yourself or your small organization), check our [DigitalOcean App Platform configurations](https://github.com/ever-co/ever-gauzy/tree/develop/.do) and corresponding [GitHub Action](https://github.com/ever-co/ever-gauzy/blob/develop/.github/workflows/deploy-do-app-platform-stage.yml).
--   Another variant to deploy Gauzy is to use DigitalOcean Droplets or any other virtual instance (with Ubuntu OS) and deploy using SCP/SSH, for example following [GitHub Action](https://github.com/ever-co/ever-gauzy/blob/develop/.github/workflows/deploy-do-droplet-demo.yml)
--   For more complex deployment scenarios, please see [Kubernetes configurations](https://github.com/ever-co/ever-gauzy/tree/develop/.deploy/k8s), which we are using to deploy Gauzy into [DigitalOcean k8s cluster](https://www.digitalocean.com/products/kubernetes).
+
+#### Virtual Instances / Droplets (via SSH)
+
+-   Another variant to deploy Gauzy is to use DigitalOcean Droplets or any other virtual instance (with Ubuntu OS) and deploy using SCP/SSH, for example, following [GitHub Action](https://github.com/ever-co/ever-gauzy/blob/develop/.github/workflows/deploy-do-droplet-demo.yml)
+
+#### Pulumi 
+
 -   In addition, check [Gauzy Pulumi](https://github.com/ever-co/ever-gauzy-pulumi) project (WIP), it makes complex Clouds deployments possible with a single command (`pulumi up`). Note: it currently supports AWS EKS (Kubernetes) for development and production with Application Load Balancers and AWS RDS Serverless PostgreSQL DB deployments. We also implemented deployments to ECS EC2 and Fargate Clusters in the same Pulumi project.
 
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