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Automated Performance Testing Environment for Cloud-Based Sales Software
  1. case
  2. Automated Performance Testing Environment for Cloud-Based Sales Software

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Automated Performance Testing Environment for Cloud-Based Sales Software

firstlinesoftware.com
Information technology
Insurance
Financial services
Healthcare
Manufacturing

Challenge

Need for a reusable performance environment to proactively identify application bottlenecks, optimize cloud infrastructure, and validate system readiness for production deployment under expected user loads

About the Client

Provider of data-driven sales enablement software with integrated GIS, communication, and team collaboration tools

Key Outcomes

  • Develop a fully automated performance testing framework with CI/CD integration
  • Establish baseline metrics and scalability thresholds for cloud infrastructure
  • Identify and resolve performance bottlenecks in NodeJS/GraphQL stack
  • Create comprehensive documentation and training for ongoing maintenance

Core System Requirements

  • Multi-scenario test execution (baseline, load, stress, scalability)
  • Real-time transaction monitoring and exception tracking
  • Interactive performance dashboards with Grafana
  • Automated report generation and CI/CD pipeline integration
  • Horizontal scaling validation with GCP infrastructure

Technology Stack

NodeJS + React
GraphQL API
Google Cloud Platform (GCP)
PostgreSQL
Gatling (Scala)
Graphite
Grafana
Jenkins
InfluxDB

System Integrations

  • GIS integration modules
  • Email/phone communication APIs
  • Team chat platforms
  • Version control systems (Git)
  • Cloud monitoring services

Performance Criteria

  • Support 2x peak load capacity with <5% error rate
  • Real-time metrics collection at 1-second intervals
  • Horizontal scaling validation up to 10,000 concurrent users
  • 99.9% system reliability during sustained loads
  • Cost-optimized cloud resource utilization

Business Value

Enables proactive performance optimization, reduces production risks by 70%, provides clear scalability cost projections for GCP infrastructure, and establishes repeatable testing processes for future releases

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