Client Context
A leading multi-specialty healthcare provider, operating across multiple cities, launched a strategic initiative to migrate its fragmented on-premises systems to Microsoft Azure. Their ecosystem supported millions of patient records and critical operations such as EMR, billing, lab reporting, and identity management—often affected by performance bottlenecks and maintenance overhead.
The Azure migration covered Electronic Medical Records (EMR), Clinical Workflows, Billing, LIS, IAM, Scheduling Systems, and third-party APIs (Insurance, Pharmacy, Diagnostics). The goal was to improve scalability, reliability, CI/CD agility, and compliance with HIPAA and other healthcare standards.
Challenges
Dual-track testing: parallel execution of production release QA and migration validation
No in-house automation framework or performance testing expertise
Legacy environment had bottlenecks during admission and billing peak hours
Workflow failures could impact patient care and regulatory obligations
QA processes varied across teams with no standardized practices
Solution Delivered
Scalable Open‑Source Automation Framework
- Built a domain-specific test harness using Selenium, Playwright, and REST APIs on Azure DevOps
- Unified test suite covering legacy and modern services
- Integrated into CI/CD pipelines for shift-left validation
Comprehensive Performance Testing Program
- Capacity audit identified API slowdowns and DB issues
- Simulated 50,000 users with JMeter and Gatling covering admissions, billing, lab reports
- Load, stress, scalability, and endurance testing over 8-hour windows
- Root cause analysis using Azure Monitor and Application Insights
- Master-solve test cycles validated performance gains pre-release
Embedded QA-DevOps Collaboration
- Co-located Qeagle SREs with DevOps teams for real-time feedback
- Automated health checks gated CI/CD releases based on test thresholds
Value Delivered
- 35% cumulative cost reduction through test automation and optimized resource usage
- 1,500+ automated tests (functional + performance) with 91% success rate
- Full module coverage:
-Admissions: scaled under full load without timeout
– Billing: 60% faster transaction times
– Lab Reports: from 50 to 2,000+ concurrent per hour
– IAM: sub-second auth at 10,000 TPS - 90%+ reduction in critical incidents
- 100% peak-hour SLA adherence post-Azure migration
Impact Highlights
270+ critical defects identified and resolved during automation rollout
45% faster test cycles enabled bi-weekly releases
Ongoing automation scaling with Azure roadmap (new APIs, microservices, 3rd-party integrations)
