LinkNest

Architecture

A scalable multi-tenant link-in-bio platform that allows users to create customizable public profile pages and track real-time analytics through optimized, write-heavy event logging.

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Tech Stack

• Ruby
• Ruby on Rails
• MySQL
• Redis
• Sidekiq
• Devise
• Docker

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Features (updating...)

• Multi-Tenant Architecture

  • Users can create multiple profile pages
  • Slug-based routing (yourapp.com/justin)
  • Strict ownership scoping for secure data isolation

• Optimized Read-Heavy Endpoints

  • Indexed slug lookups
  • ETag / Last-Modified caching headers
  • Cache invalidation tied to profile updates

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📚 What I Learned From This Project

• Designing a Multi-Tenant System Structured data models to isolate user data safely while supporting scalable public traffic across thousands of profiles.

• Aggressive MySQL Indexing Implemented compound indexes (profile_id, occurred_at) and unique constraints to maintain performance under scale.

• Integrated Continuous Integration Implemented GitHub action workflows for continuous integration and continuous delivery

• Background Processing with Sidekiq Built asynchronous aggregation jobs to maintain responsive dashboards while handling high event volume.

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Running the Project

To run the project locally, follow these steps:

1. Clone the repo (git clone )
2. Install dependencies (bundle install)
3. Setup database (rails db:create db:migrate)
4. Start Redis (redis-server)
5. Start Rails (rails server)
6. Start Sidekiq (in another terminal) (bundle exec sidekiq)

Run with Docker

1. Build image (docker build -t linknest:latest .)
2. Run containers (docker compose up --build)