A leading well-diversified Indian Financial Services Company offering end-to-end Lending, Financing and Wealth Management Solutions to a diversified range of customers across the country. The client is among the top five largest private diversified Non-Banking Finance Companies (NBFC) in India based on AUM.
AQM was entrusted with the task of improving the functioning of the Loan Lending System in its entirety.
The system was to be tested to ensure it was capable of sustaining a load of 5000 concurrent users.
It was paramount that the SLAs for Page Response Time, Throughput and Hardware Resource Utilizations were met.
The frequent changes in test environment and functional issues necessitated substantial time to be spent in reworking test scripts.
It was important to ensure that the entire gamut of process related scenarios – right from loan initiation to loan disbursement – were covered for improvement.
Time consuming stage wise Test Data creation caused by slow performance of an application and encryption in requests added to the challenges.
Deviations from the expected performance SLAs, as revealed by the initial findings, mandated quick Root Cause Analysis (RCA).
The AQM team comprising of Performance experts who are well experienced in RCA, set to work and did an excellent job using Load and Stress Tests to overhaul the functioning of the system within 90 days.
- Consulting and Support offered for Scenarios Shortlisting process.
- RCA tools expertly used for exact performance bottleneck identification.
- Tuning Recommendations: Implementation of Compression. Reduction in page weights. Application server connection pool optimization. Code-level and DB Query-level optimizations..
Our Line of Action:
- Dedicated Load Test Environment (Replica of Production)
Environment
- Load Test Tool: WAPT
- APM Tool: New Relic
Tools Employed by AQM
- Load Tests
- Stress Tests
Testing Types
- 30+ Test Executions
Test Cycles
- 60% reduction in Page Response Time.
- 75% increase in Transactions supported per Hour (TPH).
- Pass Percentage improvement from 13% to 75%.
- 70% improvement in Concurrent User Load Scalability.
- Server Hardware Capacity Planning and Sizing as per results.
- On-time release with ZER0 critical performance defects post Go-Live.
The commendable results: