# MicrosoftDocs/architecture-center

Open source documentation for the Azure Architecture Center on Microsoft Learn.

Repository: https://github.com/MicrosoftDocs/architecture-center
Canonical: https://ross.abutalabs.com/products/architecture-center
Homepage: https://learn.microsoft.com/azure/architecture
Language: PowerShell
License: CC-BY-4.0
License Family: other
Topics: azure, architecture, cloud, documentation, best-practices, guidance, microsoft, patterns, practices
Last push: 2026-08-26T17:37:16+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 3488, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2019, forks 1838 (observed 2026-08-28T04:06:06.186222+00:00)

## What it is
The open-source documentation source for the Azure Architecture Center on Microsoft Learn, containing reference architectures, example workloads, cloud design patterns, and technology decision guides. It is maintained by Microsoft patterns & practices and licensed under CC-BY-4.0 for content.

## Use cases
- find reference architectures for building workloads on azure
- learn cloud design patterns and best practices
- compare and choose azure services for a workload
- design a chat application architecture on azure
- plan hybrid connectivity between on-premises and azure
- guidance on choosing a data store in azure

## When to choose
- you are designing or reviewing solutions on azure and want authoritative guidance
- you need proven cloud design patterns and architecture styles
- you want to compare azure service options for compute, data, or AI workloads

## When to avoid
- you need documentation for AWS, GCP, or other cloud providers
- you need runnable software or code libraries rather than guidance documents
- you need deep hands-on tutorials rather than architectural guidance

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: cloud-computing, developer-tools, documentation, infrastructure-as-code
- platform: cloud
- tags: azure, architecture, cloud-architecture, reference-architectures, design-patterns, best-practices, microsoft-learn, well-architected-framework, web-server

## Member repositories
- MicrosoftDocs/architecture-center (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.186222+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:00:25.788662+00:00, confidence not recorded.
  - readme: https://github.com/MicrosoftDocs/architecture-center (fetched 2026-08-28T04:06:06.186222+00:00, sha 56e64e334246)
  - homepage: https://learn.microsoft.com/azure/architecture (fetched 2026-08-29T10:40:18.349303+00:00, sha f5da3314e203)
  - site_page: https://learn.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-stores-getting-started (fetched 2026-08-29T10:40:18.354680+00:00, sha 7dfa52867330)
  - site_page: https://learn.microsoft.com/en-us/lifecycle/faq/internet-explorer-microsoft-edge (fetched 2026-08-29T10:40:18.352561+00:00, sha c363b2f43d4b)
  - site_page: https://learn.microsoft.com/en-us/azure/architecture/changelog (fetched 2026-08-29T10:40:18.356785+00:00, sha 75c6fe39e797)
- Data as of 2026-08-30T08:39:29.467469+00:00.