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Scalable Content Delivery Platform with Workflow Automation
  1. case
  2. Scalable Content Delivery Platform with Workflow Automation

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Scalable Content Delivery Platform with Workflow Automation

spiralscout.com
Business services
Information technology
Artificial Intelligence

Current System Limitations

Existing content delivery system experiences performance bottlenecks under high traffic, requires manual intervention for content management workflows, and struggles with scaling to meet growing user demands and content complexity.

About the Client

Enterprise software company providing workplace experience management solutions for communication, connectivity, and employee engagement

Platform Modernization Goals

  • Develop a high-performance content distribution system using Golang
  • Implement automated workflow management with Temporal
  • Optimize system performance for high traffic volumes
  • Improve data management efficiency through indexing
  • Achieve seamless scalability through containerized architecture

Core System Capabilities

  • Modular Golang-based content distribution engine
  • Temporal-powered workflow automation
  • Kubernetes container orchestration
  • Advanced data indexing and query optimization
  • Real-time content update capabilities

Technology Stack Requirements

Golang
Temporal
Kubernetes
Docker
GCP
MongoDB
Redis
RabbitMQ

System Integration Needs

  • Bamboo CI/CD
  • Bitbucket
  • Jira
  • Confluence

Operational Requirements

  • Support 17.5k+ concurrent connections
  • Process 2,500+ filtering requests per second with 1GB RAM
  • Real-time content delivery with minimal latency
  • High-availability architecture

Expected Business Outcomes

Implementation will enable seamless content distribution at enterprise scale, reduce manual operations by 70%, achieve 5x performance improvement in request processing, and support exponential growth in user base and content types while maintaining optimal system resource utilization.

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