Case Study

Virtual Waiting Room POC & Load Testing

Executed a comprehensive POC to assess the effectiveness of a leading virtual waiting room solution for a high-traffic domestic customer platform. Simulated real-world user surges using k6 load testing scripts on AWS ECS, validating the platform’s scalability, performance, and customer experience.

Objective

  • Evaluate the significance and performance of a virtual waiting room solution for domestic customers
  • Simulate high-traffic scenarios with realistic, IP-diverse user loads
  • Validate the platform’s ability to manage surges and maintain customer experience

Our Solution

  • Selected a leading virtual waiting room solution for POC evaluation
  • Developed and deployed k6 load testing scripts on AWS ECS to generate large-scale, IP-diverse traffic
  • Configured test scenarios to mimic real-world user surges and access patterns
  • Monitored system performance, queue management, and user experience metrics throughout the test

Technology Stack

k6 Load Testing AWS ECS Virtual Waiting Room Docker CloudWatch Performance Monitoring Load Balancing Queue Management

Load Testing Architecture

graph TB subgraph "Load Generation" A[k6 Test Scripts] B[AWS ECS Cluster] C[Distributed Load Generators] D[IP-Diverse Traffic] end subgraph "Virtual Waiting Room" E[Queue Management] F[User Authentication] G[Traffic Control] H[Real-time Monitoring] end subgraph "Target Application" I[Web Application] J[Load Balancer] K[Application Servers] L[Database] end subgraph "Monitoring & Analytics" M[CloudWatch Metrics] N[Performance Dashboard] O[Queue Analytics] P[User Experience Data] end A --> B B --> C C --> D D --> E E --> F F --> G G --> I I --> J J --> K K --> L E --> H H --> M I --> M M --> N M --> O M --> P style A fill:#e3f2fd style B fill:#e3f2fd style C fill:#e3f2fd style D fill:#e3f2fd style E fill:#fff3e0 style F fill:#fff3e0 style G fill:#fff3e0 style H fill:#fff3e0 style I fill:#f3e5f5 style J fill:#f3e5f5 style K fill:#f3e5f5 style L fill:#f3e5f5 style M fill:#e8f5e8 style N fill:#e8f5e8 style O fill:#e8f5e8 style P fill:#e8f5e8

Performance Test Results

Concurrent Users Handled
95%
Response Time Improvement
85%
Queue Management Efficiency
92%
User Experience Score
88%

Implementation Timeline

Week 1
Solution Evaluation & Setup
Virtual waiting room solution evaluation, AWS ECS cluster setup, and initial k6 script development.
Week 2
Load Testing Script Development
Advanced k6 scripts with IP-diverse traffic patterns, realistic user scenarios, and comprehensive monitoring setup.
Week 3
Performance Testing Execution
Large-scale load testing execution, real-time monitoring, and data collection across multiple scenarios.
Week 4
Analysis & Recommendations
Comprehensive performance analysis, actionable insights generation, and strategic recommendations for implementation.
10K+
Concurrent Users Tested
95%
Success Rate
2.5s
Average Response Time
100%
IP Diversity Achieved

Benefits Delivered

  • Realistic, IP-diverse load simulation using k6 on AWS ECS
  • Data-driven evaluation of virtual waiting room performance
  • Actionable insights for customer experience and platform resilience
  • Accelerated decision-making for technology adoption
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