Token & Media Engineered for High-Volume Digital Content Platform

Our client operates a large-scale digital content marketplace where users buy, sell, and consume media using platform-specific tokens.

They faced two core challenges that limited operational efficiency:

• No visibility into how tokens moved across users

• AWS-based transcoding that couldn’t scale cost-effectively on Azure

They needed:

• A precise tracking mechanism for tokens bought, spent, and reused

• Transparent ownership logs to support cascading transactions

• A migration-ready, reliable media transcoding system on Azure

The client wanted to:

• Track each token from purchase to final use with full traceability

• Enable users to reuse earned tokens without losing audit trails

• Improve trust and reduce disputes around ownership

• Shift from AWS to Azure without compromising media processing capabilities

• Reduce platform costs and simplify backend infrastructure

The platform had user growth, but two key systems were breaking down:

Users could buy tokens in bulk and spend them across multiple purchases, but the platform had no granular way to track individual token ownership.

When sellers reused earned tokens, the platform lost traceability, making cascading token transactions unreliable.

While AWS had advanced media features, moving to Azure meant losing built-in tools and automation.

Muoro deployed a specialized backend team with Ruby on Rails and Azure expertise to solve both issues.

We built a token bifurcation mechanism that treated every token as a single unit, allowing for:

• Individual token-level tracking

• Ownership records from buyers to sellers

• Cascading token reuse with full traceability

Impact: Users could see exactly how tokens moved, enhancing transparency and platform trust.

We replaced the client’s AWS workflows by:

• Writing custom Ruby scripts for video/audio processing

• Using FFmpeg for screenshot automation

• Organizing all workflows through CRON and Azure Blob

Impact: Delivered a self-managed transcoding system that was cloud-agnostic and cost-effective.

To modernize token tracking and media processing, we implemented:

1. Ruby on Rails – Backend architecture for token handling and transactions

2. Custom Ruby Modules – Implemented bifurcation and cascading logic

3. PostgreSQL – Maintained ownership logs and ensured traceability

1. Azure Blob Storage – Hosted raw uploads and processed files

2. FFmpeg + Ruby – Powered custom transcoding and screenshot generation

3. CRON Jobs – Automated batch processing and error recovery

We delivered measurable outcomes that solved critical backend gaps:

Each token’s lifecycle from buyer to seller to reuse was recorded and auditable.

Accurate ownership logs minimized transactional errors and user complaints.

Azure-based workflows matched AWS output while reducing costs.

Automated processes removed manual overhead and improved platform stability.

The client gained:

• Full control and visibility over every token spent and reused

• A backend system optimized for transparency and scalability

• A custom-built transcoding pipeline hosted fully on Azure

• Reduced dependency on third-party cloud services

Muoro builds high-performance teams for product-focused engineering from payment flows to cloud workflows.

Let’s talk.