Architecture Diagrams
What are Architecture Diagrams?
Architecture diagrams help you visualize relationships between services and resources in your data infrastructure. They're particularly useful for documenting cloud deployments, data pipelines, and system integrations. You can group related services together and show how different components connect and interact.
Creating Your First Architecture Diagram
From the Code IDE, Click Apps and Agents from the lefthand panel
Select Mermaid. Paradime will automatically start a new mermaid project
In the terminal that appears, use the arrow keys to select "Architecture Diagrams"
A new
architecture.mmd
file will be created in your editor with this starter template:
architecture-beta
group api(cloud)[API]
service db(database)[Database] in api
service disk1(disk)[Storage] in api
service disk2(disk)[Storage] in api
service server(server)[Server] in api
db:L -- R:server
disk1:T -- B:server
disk2:T -- B:db
Click the eye icon (👁️) in the top right corner of your Mermaid file to preview the diagram
[screenshot]
Edit and update your
.mmd
file as needed - the preview will update automatically
Diagram Syntax Guide
Basic Components
Groups: Container for related services
group data_warehouse(cloud)[Data Warehouse]
Services: Individual components
service analytics_db(database)[Analytics DB]
Edges: Connections between services
db:R -- L:server # Right of db to Left of server
Building Blocks
Groups
Create a group with:
group {group_id}({icon})[{label}]
Add services to a group using in
:
service my_service(database)[My Service] in my_group
Services
Define services with:
service {service_id}({icon})[{label}]
Available icons:
cloud
database
disk
internet
server
Connections
Connect services using edges:
Direction options: T(top), B(bottom), L(left), R(right)
Arrow types: -->, --, <--
Data Team Examples
Data Warehouse Architecture
architecture-beta
group warehouse(cloud)[Data Warehouse]
service raw(database)[Raw Data] in warehouse
service processed(database)[Processed Data] in warehouse
group analytics(cloud)[Analytics]
service bi(server)[BI Tool] in analytics
raw:R --> L:processed
processed:R --> L:bi
ETL Pipeline
architecture-beta
service source(database)[Source DB]
group transform(cloud)[Transform]
service etl(server)[ETL Service] in transform
service target(database)[Target DB]
source:R --> L:etl
etl:R --> L:target
Best Practices
Group related services logically
Use clear, descriptive labels
Keep connections simple and readable
Use consistent naming conventions
Add appropriate icons for services
Additional Resources
For more syntax options and advanced features, visit the official Mermaid documentation
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