Skip to main content

Library to generate DRAW.IO compatible diagrams to represent Cloud infrastructure. AWS Cloud supported.

Project description

Explore and Document Your Cloud Infrastructure with multicloud-diagrams


license PyPI version python version tests

As Professional Architects, Developers and DevOps with experience in operating on Public Cloud Providers, we all recognize the crucial importance of well-documented Infrastructure and Architecture in a representable form for driving successful projects.

multicloud-diagrams is a framework that combines multiple approaches: Diagrams as a Code (Dac), resources ingestion from external yaml sources, interaction through programmatic API integration.

It allows to store the Infrastructure snippet in drawio format, which is editable vector-based representation. Since source file is not a Raster form, it is easy to edit, customize, position elements based on our needs and track the history.



Support OS Project:

Support from sponsors is invaluable for the continued maintenance and development of open-source projects. You can use any of most popular platforms: Patreon or Buy me a Cofee, by following these links:

  • patreon
  • Buy Me A Coffee

Examples of diagrams generated using multicloud-diagrams:

End-to-End with AWS resources:

draw-e2e.gif


API Gateway with integrations:

draw-apigw.gif


DynamoDB Insights:

drawio-dynamodb.gif


Augment Diagram from UML:

drawio-uml.gif


Supported Cloud Provides:

provider supported in multicloud-diagrams
aws provider [x] since project start
on premise provider [x] since v0.2.1
azure provider [ ]
gcp provider [ ]

Supported Nodes Landscape (Autogenerated on-release):

landscape.png


Why multicloud-diagrams is written on Python?

The choice of Python as the programming language for our initial project was driven by several key factors that align seamlessly with our goals and requirements. Here's why Python was selected as the foundation for our project's development:

  • Seamless Integration and Data Ingestion using AWS Boto3 (official SDK for Amazon Web Services, developed in Python).
  • Simplicity: Python's clean and readable syntax simplifies the development process. Its ease of use and elegant structure enable to focus on the core components without being bogged down by unnecessary complexities.
  • Broad Appeal among DevOps and Developers: Python's popularity within the DevOps and Development communities is undeniable. Its extensive adoption is a testament to its effectiveness for building robust applications. By choosing Python, we cater to a broader audience, fostering collaboration and easing the learning curve for newcomers.
  • Cross-Platform Availability: Python's cross-platform compatibility ensures that our project can be run on a wide array of environments without compatibility issues. Whether you're working on Windows, macOS, or Linux, Python's ubiquity guarantees consistent functionality across platforms.

Why multicloud-diagrams chooses drawio as the Output Format?

During my exploration of various tools on this journey, I've encountered several options, each with its own set of advantages and compromises. However, after careful consideration, the decision to adopt the drawio format emerged as the optimal choice for several compelling reasons:

  • Editable form of drawio format provides a great level of customization, enabling users to easily fine-tune diagrams to meet specific needs and scenarios.
  • Widespread Adoption: with a broad user base, drawio stands as one of the most widely used diagramming tools, ensuring familiarity and compatibility across diverse teams.
  • Enhanced Plugin and Tool Support: the format seamlessly integrates with a set of plugins and tools, enriching the ecosystem with expanded capabilities and possibilities.
  • Compact File Sizes: leveraging the drawio format results in compact file sizes, facilitating swift sharing and distribution without compromising visual quality.
  • Git-trackable Infrastructure Evolution: allowing for efficient tracking and visualization of infrastructure mutations over time.
  • Smooth Compilation to Raster and other formats: drawio supports out of the box converting to PNG, JPG, PDF, SVG, VSDX, XML

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

multicloud_diagrams-0.3.23.tar.gz (16.4 kB view details)

Uploaded Source

Built Distribution

multicloud_diagrams-0.3.23-py3-none-any.whl (15.7 kB view details)

Uploaded Python 3

File details

Details for the file multicloud_diagrams-0.3.23.tar.gz.

File metadata

  • Download URL: multicloud_diagrams-0.3.23.tar.gz
  • Upload date:
  • Size: 16.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.13 Linux/6.2.0-1018-azure

File hashes

Hashes for multicloud_diagrams-0.3.23.tar.gz
Algorithm Hash digest
SHA256 5baa349c75e1ddafb96b6390631ae3a95fb96175dabb33853778f8a218df5df6
MD5 b961fe8fc7a66eded530f4a03946e3d9
BLAKE2b-256 6d978e5b8626ca32404707995333ef1a23326eb9de6bf90977b49cb6cea9e71f

See more details on using hashes here.

File details

Details for the file multicloud_diagrams-0.3.23-py3-none-any.whl.

File metadata

File hashes

Hashes for multicloud_diagrams-0.3.23-py3-none-any.whl
Algorithm Hash digest
SHA256 a2adfda035b2ea24143df9f39481f0b41cef92202ebaba93cf870c255d9950cf
MD5 506886812918298367cf0abe8f0fd401
BLAKE2b-256 a708ec4398ecf469b17e620422059cefa3df1f1af9d324c7fc64c4a4cb43863b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page