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Video Encoding

Enterprise Video Encoding & Multi-Channel Distribution Platform

A media company needed a comprehensive platform to manage their video content lifecycle from upload to encoding to multi-channel distribution, supporting different output specifications for each distribution partner.

Discuss Your Project
Enterprise Video Encoding & Multi-Channel Distribution Platform
Video Encoding
Domain
15
Technologies
4
Key Results
Delivered
Status

The Challenge

Managing video content distribution across multiple channels and partners presented significant operational hurdles:

  • Each distribution partner required different encoding formats, resolutions, and codecs
  • Manual encoding and upload processes couldn't keep up with content volume
  • No centralized system to track encoding status, failures, and retries
  • Caption files needed to be discovered, processed, and bundled with video assets
  • Scheduling content across multiple channels required a calendar-based workflow

Our Solution

We built a full-stack video production platform with automated encoding pipelines, multi-channel scheduling, and partner-specific output profiles.

Architecture

  • Main Backend: NestJS 11 with TypeScript, MongoDB/Mongoose, Redis
  • Encoder Backend: Specialized NestJS service for encoding orchestration
  • Lambda Service: AWS Lambda for serverless encoding workflow triggers
  • Frontend: React 18 + Vite with Bootstrap, React Hook Form, ApexCharts
  • Encoder Dashboard: Dedicated React interface for encoding management
  • Media Processing: AWS MediaConvert with FFmpeg fallback

Encoding Pipeline

  1. Upload - Video upload to AWS S3 (single or bulk)
  2. Metadata Extraction - Duration calculation, cue point generation
  3. Caption Discovery - Automatic caption file matching and processing
  4. Profile Selection - Partner-specific encoding profiles applied
  5. MediaConvert Job - AWS MediaConvert processes the transcode
  6. Quality Check - Automated verification of output specifications
  7. Distribution - Assets delivered to partner-specific channels

Key Features

  1. Partner Profiles - Custom encoding specs per distribution partner
  2. Bulk Upload - Handle large content libraries with batch processing
  3. Caption Processing - Automatic caption file discovery and format conversion
  4. Calendar Scheduling - FullCalendar-based content scheduling per channel
  5. Retry Logic - Automatic retry with error classification for failed jobs
  6. Analytics Dashboard - Encoding status, throughput, and error rate visualization
  7. Role-Based Access - JWT authentication with admin user management

Results

Encoding Speed: AWS MediaConvert parallelized transcoding across formats
Error Recovery: Automatic retry reduced manual intervention by 80%
Partner Support: Configurable profiles eliminated per-partner manual encoding
Visibility: Real-time dashboards showed encoding status across all jobs

Technology Stack

NestJSTypeScriptMongoDBMongooseRedisAWS MediaConvertAWS S3AWS LambdaReactViteBootstrapApexChartsFullCalendarFFmpegActiveMQ/STOMP

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