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Next-Generation Cloud-Based Media Asset Management and Workflow Orchestration System
  1. case
  2. Next-Generation Cloud-Based Media Asset Management and Workflow Orchestration System

Next-Generation Cloud-Based Media Asset Management and Workflow Orchestration System

oxagile.com
Media

Identified Challenges in Traditional Media Workflow Management and Content Delivery

The client currently relies on manual coordination through emails and calls for media asset management, resulting in increased human error, lack of transparency, and inefficient workflows. They require an automated, scalable, and transparent system to handle complex media processing tasks, improve operational efficiency, and provide real-time visibility into workflow statuses across geographically distributed teams.

About the Client

A large-scale media content provider managing complex media lifecycle workflows across multiple international hubs, seeking to automate and optimize content processing and delivery.

Goals for Automating and Enhancing Media Workflow and Content Delivery

  • Implement an automated, scalable media asset management system supporting complex content workflows.
  • Reduce operational overhead and processing costs while enhancing system reliability.
  • Provide granular, real-time visibility into workflow statuses to improve transparency and decision-making.
  • Enable manual and automated orchestration of diverse media processing tasks, including transcoding, quality assurance, and compliance checks.
  • Design a flexible, user-friendly interface tailored to various user roles for seamless navigation and task management.
  • Develop a robust, event-driven microservices architecture that supports efficient communication and scalability.
  • Ensure high system reliability, quick task initiation, and effective bottleneck detection with advanced reporting tools.
  • Automate testing processes to maintain high quality and reduce time-to-market, achieving significant cost savings.

Core Functionalities for Media Workflow Automation and Management

  • Distributed microservices architecture supporting specific media processing tasks.
  • Manual workflow configuration interface for custom, sophisticated process setup.
  • Rich library of preprogrammed media processing tasks with configurable parameters.
  • Template-based quick workflow creation with support for sub-workflows and variables.
  • Automated orchestration module integrating with local data centers for metadata extraction and workflow triggers.
  • Real-time progress dashboards accessible via a cloud portal for all stakeholders.
  • Advanced ticketing system for streamlined process coordination and issue resolution.
  • Watcher module for real-time file upload detection and trigger execution based on folder, format, and metadata.
  • Granular, trigger-based automation capabilities to initiate workflows on specific events.
  • Comprehensive reporting tools for early detection of bottlenecks and process optimization.

Preferred Technologies and Architectural Approaches

Event-driven microservices architecture
ASP.NET Core for backend services
Docker containers for deployment
Amazon ECS or equivalent cloud container management
Message bus for microservices communication
PostgreSQL, MongoDB, or similar for data storage
RabbitMQ or comparable message broker
REST APIs and SPA frameworks (like Angular) for frontend development
Elasticsearch, Logstash, Kibana (ELK) stack for logging and monitoring
Linux-based hosting environment

External Systems and Data Integration Points

  • Local data center systems for metadata synchronization and workflow triggers
  • Media content storage repositories
  • Existing ticketing or issue management systems
  • Content delivery and transcoding platforms
  • Quality assurance and compliance verification tools

Key Non-Functional System Attributes

  • System scalability to handle increasing media volumes and workflow complexity
  • High availability with minimal downtime, ensuring consistent workflow execution
  • Real-time responsiveness for workflow triggers and status updates
  • Secure access controls and data protection compliant with industry standards
  • Performance benchmarks including processing and response times (e.g., initiate workflows within seconds, report generation in under a minute)
  • Automated testing frameworks to ensure robust deployment cycles

Projected Business Benefits and Value of the Media Workflow System

The implementation of this cloud-based, automated media management platform aims to significantly reduce operational overhead and costs while increasing system reliability and transparency. Expected outcomes include faster task execution, improved quality assurance, and increased customer satisfaction, ultimately positioning the client as a leader in efficient media content processing. Based on prior benchmarks, anticipated improvements include a reduction in manual coordination efforts, early identification of workflow bottlenecks, and substantial cost savings in project timelines and quality assurance efforts.

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