The document discusses performance testing done for a leading microfinance institution to validate the scalability and bandwidth of their native Android mobile application for 1000 concurrent users. Indium Software benchmarked the mobile application's performance, identified package misconfiguration and security threats, and resolved I/O contentions to reduce loan processing time. Extensive analysis and recommendations from Indium improved the overall application performance by 20%.

1. Performance Testing
© 2017 Indium Software
The Client: One of the leading Microfinance Institutions in the world
Business
Requirement
Our
Solutions
Business
Impact
To benchmark the performance of native android
mobile application for 1000 concurrent users
Validate the scalability and network bandwidth of the
mobile application
Validation for no packet loss for every transaction (each
transaction involves uploading of ~15 images per user)
Actively participate in multiple releases since the product
undergoes frequent change that in turn affects the
performance
Benchmarked the performance of the
mobile application for 1000 concurrent users
using open source tool
Heavy I/O contentions were resolved and time taken
for the loan processing was reduced.
Consistent I/O operation due to Indium’s performance
engineering
Package misconfiguration was identified and reported,
by server profiling. The related security threats were
eliminated too.
Extensive analysis and recommendations helped improve
the overall application performance by 20%
Technologies: Front End : PHP, Java, Apache HTTP Server | Database : SQL Server 2008 R2 | Operating System : Windows Server 2012
Tools: Apache JMeter 2.13, Perfmon, SQL Profiler
Server level parameters were tuned & re-
configured to reduce CPU utilization in
database
Optimized stored procedures and views
Accessed the application via different mobile networks and assessed its
performance for quality of data transmission with/without roaming
Identified 4 critical performance issues – connection reset issue, package
misconfiguration and high CPU utilization in database server
1