FSS is a payments and fintech leader, offering business value through a diversified portfolio of software products, hosted payment services and software services built over 25 years of comprehensive experience across payments spectrum. Headquartered in Chennai, India, FSS serves 100+ customers across the globe that include leading public and private sector banks in India and some of the large Banks, FIs, Processors and Prepaid Card issuers and the company has an established presence in America, UK/Europe, ME/Africa and APAC.
A joint performance and scalability testing exercise was conducted by FSS and Oracle Engineering teams to study the performance and scalability of FSS payment gateway iPAY on Oracle's SPARC Servers running Solaris 11.3. The activity was aimed at scaling up the application load in terms of Transactions Per Second (TPS) with a workload that consisted of mix of OLTP scenarios.
FSS iPAY is PCI 3.0 PA-DSS certified payment gateway that provides highly secured payment transaction zone with its inbuilt fraud prevention and risk mitigation engine. FSS iPAY is compatible with multiple payment options such as debit/credit/prepaid cards, IMPS, internet banking, batch banking and interchanges like VISA & others.
The following is the functional architecture of the application:
Two Oracle SPARC T5-2 servers and an Oracle ZFS Storage ZS3-2 were used to run the test with FSS iPAY 3.1.0, Oracle Database 12c RAC and Oracle Weblogic 12c Cluster along with shared QFS on SAN storage for the application tier.
Solaris 11 compliance framework was used to generate the PCI-DSS compliance report for the application systems hosting the iPAY application. The findings from the report were used to make sure that the application systems were configured as per the requirement of PCI-DSS standard.
Scaling to 4000+ TPS with excellent response times on 32 cores
The performance testing exercises were conducted with 32 cores for the application and 32 cores for the database. Response times and average cpu percentages were measured for different levels of workload generated TPS.
The results showed an amazing 4000+TPS and close to 17 million transactions processed in 70 minutes.
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