🚀 QRM Stack Catalog (Stack Templates)

Overview

QRM Stack Catalog is a centralized library of pre-configured application stacks, services, and deployment templates. It enables teams to quickly discover, configure, and deploy production-ready workloads using best-practice defaults.

Instead of building infrastructure from scratch every time, teams can launch complete environments in minutes using reusable, standardized stack templates.

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Purpose

The Stack Catalog helps teams:

• Deploy apps and services faster
• Reuse proven infrastructure patterns
• Enforce security and best practices
• Standardize environments across teams
• Simplify container and cloud deployments

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What is a Stack Template?

A Stack Template is a predefined blueprint that describes:

• Application containers
• Required services (DB, cache, queue, etc.)
• Environment variables
• Networking and ports
• Storage volumes
• Scaling and resource limits

Each template is designed to be ready-to-run with minimal configuration.

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Catalog Structure

Each stack in the catalog includes:

Field	Description
ID	Unique identifier
Name	Stack display name
Category	e.g. Web App, Database, Monitoring
Description	What the stack does
Version	Template version
Maintainer	Team or author
Tags	Search keywords
Services	Containers included in the stack
Resources	CPU / RAM defaults
Volumes	Persistent storage definitions
Ports	Exposed service ports
Environment	Required environment variables

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📄 Example Registry Template

id: postgresname: postgrestitle: PostgreSQLdescription: A powerful open-source relational database system known for reliability, robustness, and advanced SQL capabilities.version: 1.0.0files:
- compose.d/postgres.ymllogo: logos/postgres.pngcategory: Databasepopular: truegithub: https://www.postgresql.orgtags:
- sql
- relational
- database

📄 Example Stack Template

services:
postgres:
image: postgres:16ports:
- "5432:5432"environment:
POSTGRES_DB: appdbPOSTGRES_USER: appuserPOSTGRES_PASSWORD: securepasswordvolumes:
- postgres_data:/var/lib/postgresql/dataresources:
cpu: "500m"memory: "512Mi"adminer:
image: adminer:latestports:
- "8080:8080"depends_on:
- postgresvolumes:
postgres_data: