Transforming CloudBuilder Excel Files to JSON

Convertir un archivo Excel en JSON para automatizar la creación de un entorno SDDC en CloudBuilder

Como DevOps eng, I always look for ways to automate processes and improve efficiency. Recently, I encountered the need to automate the creation of a Software-Defined Data Center (SDDC) using VMware Cloud Foundation (VCF). While Excel’s Deployment Parameter Workbook is a valuable tool for parameterizing the environment, I wanted to explore the possibility of converting it to JSON for easier automation.

In this blog post, I will discuss how to convert an Excel file to JSON using CloudBuilder’s SoS Utility and how to use Ansible to automate the creation of an SDDC based on the resulting JSON file.

Why Convert Excel to JSON?

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There are several reasons why converting Excel to JSON can be beneficial for automating the creation of an SDDC:

1. **Easier automation**: JSON is a lightweight, human-readable format that can be easily parsed and processed by machines. This makes it an ideal choice for automation scripts.

2. **Flexibility**: By converting the Excel file to JSON, we can easily modify the values and parameters without having to manually edit the Excel file.

3. **Reusability**: Once we have converted the Excel file to JSON, we can reuse the resulting file in other automation scripts or tools.

How to Convert Excel to JSON Using CloudBuilder’s SoS Utility?

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To convert an Excel file to JSON using CloudBuilder’s SoS Utility, follow these steps:

1. **Place the Excel file in the home directory of the user**: Use WinSCP or scp to place the Excel file in the home directory of the user who will be running the SoS Utility.

2. **Run the SoS Utility**: Open a terminal or command prompt and run the following command to convert the Excel file to JSON:

“`bash

sosexport -c -o

“`

Replace `` with the path to your Excel file, and `` with the desired output path for the JSON file.

For example, if your Excel file is located at `/home/user/Documents/deployment-parameters.xlsx`, you can run the following command:

“`bash

sosexport -c /home/user/Documents/deployment-parameters.xlsx -o /home/user/deployment-parameters.json

“`

This will create a JSON file named `deployment-parameters.json` in the home directory of the user.

Tips and Tricks for Automating SDDC Creation with Ansible

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Once we have converted the Excel file to JSON, we can use Ansible to automate the creation of an SDDC based on the resulting JSON file. Here are some tips and tricks to keep in mind:

1. **Use cURL**: Instead of using the Web UI of CloudBuilder, we can use cURL commands to interact with the API. This can be faster and more efficient, especially when dealing with large environments.

2. **Validate the creation process**: After creating an SDDC, it’s essential to validate that the creation process was successful. We can do this by checking the execution status of the API call and ensuring that the result status is `SUCCEEDED`.

3. **Use Ansible modules**: Instead of using shell commands, we can use Ansible modules to simplify our playbook and make it more readable. For example, we can use the `ansible-vmware` module to interact with CloudBuilder’s API.

4. **Reuse the JSON file**: Once we have created the JSON file, we can reuse it in other automation scripts or tools. This can save us time and effort when creating additional SDDCs or modifying existing ones.

Conclusion

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In this blog post, we explored how to convert an Excel file to JSON using CloudBuilder’s SoS Utility and how to use Ansible to automate the creation of an SDDC based on the resulting JSON file. By converting the Excel file to JSON, we can simplify the automation process and make it more efficient. Additionally, by using Ansible modules and cURL commands, we can streamline our playbook and improve its readability.

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