How To Easily Master vSphere Desired-State Cluster Configuration Files

Introduction

VMware By Broadcom has moved away from the old, clunky Host Profiles in favor of the modern Desired State Cluster Configuration. This “Desired-State” model is fantastic for consistency, but it introduces a new challenge: managing the massive JSON documents that define your cluster’s state.

When you need to scale a cluster, you’re often stuck manually editing host-specific overrides for IPs and hostnames inside a complex JSON structure. I built ClusterConfigForge to turn that manual grind into a streamlined, automated workflow.

The Challenge: Scaling Desired-State Configurations

In the Desired-State model, the entire configuration for a cluster is managed as a single document. While this is great for avoiding “configuration drift,” updating unique host details (like Management/vMotion IPs) for a 32-node cluster still requires tedious, repetitive data entry.

If you’re a consultant or a lead admin, you don’t want to spend your afternoon copy-pasting IPv4 addresses into a text editor. You want a tool that understands the structure and does the heavy lifting for you.

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How To Make vRO Execute Python Code Blocks

vRealize Orchestrator (vRO) is a powerful automation platform that enables you to automate and orchestrate various IT processes, including the execution of Python scripts. In this article, we will show you how to set up vRO to run Python scripts and provide some tips along the way.

Prerequisites

Before you can run Python scripts in vRO, you need to have the following:

  • A working installation of vRealize Orchestrator (8.10.2+).
  • A vCloud Suite Advanced or Enterprise license. You cannot run Python scripts with the standard vCenter license for vRO

Setting up vRO to run Python scripts

To set up vRO to run Python scripts, follow these steps:

  • Open the vRealize Orchestrator client and log in with your administrator credentials. (https://<servername>/orchestration-ui)
  • In the main menu, go to the “Assets” and select “Environments” from the submenu.
  • Click the “New Environment” button to create a python3.7 environment.
  • In the “General” tab, enter a name and a description for the environment.
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