Client Overview

A healthcare technology company providing virtual care and telehealth solutions for healthcare providers. With 140 employees and $20M in ARR, they experienced exponential demand growth but faced significant platform scalability challenges.

The Challenge

As virtual visit volume grew rapidly, the company's technology infrastructure—initially designed for moderate usage levels—began experiencing performance issues. Peak usage periods resulted in degraded video quality, system latency, and occasionally service disruptions, threatening customer satisfaction and retention.

Key issues included:

  • System performance degradation during high-volume periods
  • Video quality issues at peak usage times
  • Data processing delays affecting clinical workflows
  • Limited scalability of underlying architecture
  • Reactive approach to capacity management
  • Increasing infrastructure costs not proportional to revenue

Our Approach

We implemented our Tech Stack Optimization program with focus on scalable architecture:

  1. Technical Assessment:
    • Conducted comprehensive architecture and performance review
    • Analyzed scalability bottlenecks and failure points
    • Mapped user experience impact of technical limitations
    • Evaluated infrastructure efficiency and cost structure
  2. Architecture Strategy:
    • Developed cloud-native architecture blueprint
    • Created progressive migration approach to minimize disruption
    • Designed auto-scaling infrastructure framework
    • Established performance and reliability targets
  3. Implementation:
    • Refactored critical components for cloud-native operation
    • Implemented microservices architecture for key workflows
    • Deployed advanced monitoring and alerting system
    • Created automated testing environment for scalability validation
  4. Operational Integration:
    • Established DevOps practices across engineering
    • Implemented capacity planning methodology
    • Created performance optimization process
    • Developed cost efficiency metrics and targets

The Results

Within 10 months of implementation, the company achieved:

  • System capacity increased by 400% while maintaining performance
  • Video quality issues reduced by 94% during peak periods
  • System latency reduced by 68% on average
  • Infrastructure cost per visit decreased by 51%
  • Patient satisfaction with technical experience improved by 33%
  • Unplanned downtime reduced from 0.8% to 0.06%

The platform transformation enabled the company to confidently scale their telehealth solution to meet rapidly growing demand while improving performance, reducing costs, and enhancing the patient experience.

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