Main features

This section lists the main features of QMCLOUD.

The following features are available with the advanced edition subscription only:

a) Multiuser support (up to 4)

b) Support for GitHub repositories for stacks

c) Pricing API integration to get estimates for AWS and Azure stacks.

When you are logged into QMCLOUD, you can navigate to the configuration menu item and licensing section to upgrade.

The following are the main features of QMCLOUD. Refer to the concepts section for further details.

1. Create and manage logical entities including organization, workspace, stack profile, stack group and a stack

2. Add and manage cloud components and categories that each of the components belong to (Example AWS Vpc in the EC2 category)

3. Create users, roles and assign roles to users for RBAC (role-based access control)

4. Define GitHub repository credentials for a user

5. Create a stack (unit of infrastructure) using a canvas, guided wizard, AI Copilot or by importing a stack definition file

6. Compose the desired target cloud infrastructure on a canvas using "No Code" technologies including drag/drop, auto connections and the AI Copilot assistant

7. Create a stack using a guided wizard. The guided wizard uses a set of resources pre-defined in a template (or a blueprint)

8. Define various properties of the cloud resources (or components)

9. Add and update connections between various components to define dependencies

10. Create a template using an already deployed stack

11. List and review properties of cloud resources

12. Review the TS/JS code generated by QMCLOUD and configure code commit to a pre-defined github repository for tracking and auditing

13. Estimate the cost of the cloud resources defined in a stack. This feature is only available for AWS stacks. Estimates for Azure cloud resources will be available soon.

14. Scan a cloud account and import the resources in a stack. The imported resources are marked as Read Only. This feature is currently meant for inventory, drift and cost management. It is not possible to make any changes to the resources and actively manage them.

15. Detect drift of cloud resources and their properties

16. Use RESTful API's to integrate with various CI/CD tools (Example - Jenkins)

17. The AI Copilot is an assistant where you can enter a description of the desired cloud infrastructure you want to deploy. The assistant then creates the appropriate configuration and renders the visualization on the canvas for deployments

18. Coming Soon

    • Security Policies

    • Cost policies