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Development of a Scalable Data Visualization Platform with Cloud Migration and Feature Enhancement
  1. case
  2. Development of a Scalable Data Visualization Platform with Cloud Migration and Feature Enhancement

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Development of a Scalable Data Visualization Platform with Cloud Migration and Feature Enhancement

valor-software.com
Information technology
Non-profit
Education

Client Challenges and Pain Points

Legacy NodeJS architecture limiting maintainability, AWS infrastructure costs and complexity, inability to scale BigData visualization capabilities, and demand for modern TypeScript-based development practices to support new visualization features.

About the Client

B2B SaaS startup specializing in open-source data visualization tools for global clients

Strategic Project Goals

  • Migrate existing NodeJS codebase to TypeScript for improved maintainability
  • Transition cloud infrastructure from AWS to GCP for cost optimization
  • Develop new visualization features for BigData handling
  • Create modular architecture for future extensibility
  • Enhance visualization tool performance for enterprise clients

Core System Capabilities

  • Custom visualization embedding via SDK
  • Dynamic data integration from multiple sources
  • Interactive BigData visualization builder
  • Cloud-native deployment management console
  • API for extending visualization components

Technology Stack Requirements

TypeScript
Node.js
Express.js
MongoDB
Redis
GCP CloudFormation
AWS EC2 (legacy migration path)
Mocha/Chai testing framework

Cloud and System Integrations

  • GCP Compute Engine
  • AWS ElasticCache (migration bridge)
  • Third-party data visualization libraries
  • New Relic monitoring
  • Docker containerization

Operational Requirements

  • Horizontal scalability for BigData workloads
  • 99.9% platform uptime SLA
  • GDPR-compliant data handling
  • Modular codebase for rapid feature development
  • Cross-cloud migration compatibility

Business Value Projections

Deliver a future-proof visualization platform enabling enterprise clients to embed customizable analytics tools, reduce infrastructure costs by 40% through GCP optimization, and support 10x larger datasets for enhanced decision-making capabilities.

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