Developed Multi-Tenant SaaS Architecture with Deployment Strategies

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Developed Multi-Tenant SaaS Architecture with Deployment Strategies

  • Day: 2025-07-08
  • Time: 21:35 to 22:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Saas, Fastapi, Deployment, Streamlit, Firebase

Description

Session Goal: The goal of this session was to explore and plan the development of a multi-tenant SaaS architecture using Streamlit, FastAPI, and other cloud services. The session aimed to outline the necessary steps for transitioning from CLI tools to a scalable SaaS application.

Key Activities:

  • Discussed the limitations of Streamlit for multi-user support and evaluated options for implementing multi-tenancy, including minimal authentication and backend integration with JWT.
  • Outlined a strategic plan for transitioning CLI tools to a multi-user SaaS architecture, considering architectural changes and technology stack options.
  • Compared Hugging Face Spaces and Google Cloud Platform for deploying FastAPI applications, analyzing pros and cons for each.
  • Developed a six-phase sprint plan for SaaS development, detailing goals, tasks, and deliverables from prototype to paywall implementation.
  • Created a detailed guide for deploying FastAPI applications to Google Cloud Run, including Dockerfile creation and domain mapping.
  • Implemented Firebase Authentication in FastAPI for Google login and user-specific configurations.
  • Reflected on data access and ethics in SaaS applications, focusing on privacy design and legal compliance.

Achievements:

  • Established a comprehensive plan for developing a multi-tenant SaaS application with clear deployment strategies.
  • Completed guides for deploying FastAPI applications to both Hugging Face Spaces and Google Cloud Run.
  • Integrated Firebase Authentication into FastAPI for enhanced user management.

Pending Tasks:

  • Finalize the deployment of the email UI demo to Hugging Face Spaces.
  • Continue refining the architectural considerations for local vs cloud deployment modes.

Evidence

  • source_file=2025-07-08.sessions.jsonl, line_number=3, event_count=0, session_id=e7ff4520c6ecd2c55e47442c62ee213a9fccf1d12689f0f5346af55fd03f59f1
  • event_ids: []

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