QMCLOUD
  • What is QMCLOUD
  • Overview
    • Component Details
    • Security and RBAC
    • Dependencies
  • Architecture
  • Main features
  • Installation and Configuration
    • QMCLOUD SaaS
      • SaaS Registration
    • AWS Marketplace
    • Self-hosting
  • User Interface and Navigation
    • Main menu
    • Dashboard
    • General action buttons
    • Stack and Canvas
    • Stack Details
  • Getting started
    • Pre-requisites
    • Login to QMCLOUD
    • Create organization
    • Add Role
    • Add User
    • Add Components
    • Add Stack Profile
    • Add Workspace
    • Add Stack
    • Compose Infrastructure Using the Canvas
    • Add AWS Vpc
    • Add Subnets
    • Connect VPC and Subnets
    • Save Canvas State
    • Deploy the Infrastructure
  • AI Copilot
    • Example deployment using AI Copilot
    • AI Copilot pre-defined prompts
  • Additional resources
    • Explainer video
    • Short video on AI Copilot
    • Quick walkthrough videos
    • Walkthrough of deployment of AWS EKS
  • Examples
    • Deploy AWS Firewall and Networking with QMCLOUD
      • Application and landing zone components
      • List of landing zone components
      • Deployment steps
      • VPC configuration details
      • Routing configuration details
      • Firewall configuration
      • Additional components configuration
    • Securing applications in AWS using Palo Alto firewall
  • Templates
    • AWS Landing Zone
    • AWS EKS
    • Azure Web App
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Architecture

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Last updated 10 months ago

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The QMCLOUD software is made up of multiple docker containers and besides the SaaS platform, it can be installed in a customer’s environment including public cloud or private cloud.

The following architecture is relevant for self-hosting and AWS marketplace appliance options only. The SaaS version of QMCLOUD uses a similar architecture but varies significantly to account for multi- tenancy and RBAC.

The following diagram depicts the architecture of QMCLOUD.

Diagram – QMCLOUD architecture

The following components are depicted in the diagram:

  1. User workstation

  2. URL / FQDN used to access QMCLOUD

  3. Set of docker containers that constitutes QMCLOUD Sofware

  4. Proxy or Load balancer

  5. Backend – NodeJS, and Java

  6. Front end - ReactJS

  7. Postgres database

  8. Pulumi Automation API

  9. Pulumi state software using app.pulumi.com

  10. Azure cloud platform

  11. AWS cloud platform