Leading Insurance Company Upscales Response Time and Performance Through Performance Testing

The client is a sales and marketing behemoth with a presence in multiple segments of the Medicare and health insurance marketplace. They use cutting-edge technology solutions to offer an array of services in the Medicare industry. This case study showcases how QualiZeal assisted in improving the insurance leader’s performance, response time, and connection pool. 

Location

US

Industry

Insurance

Year

2022

  • Overview
  • Overview
  • Overview
  • Overview
  • Overview
  • Overview
  • Overview
  • Overview

The client was facing challenges on multiple fronts, i.e., performance and RTE. QualiZeal came on board to guide the client figure out if their new Landscape and RTE application, hosted on the cloud, would be able to sustain the load during the peak season between November to December. QualiZeal’s team also helped them understand the optimal sizing of the infrastructure required to support the peak load during business hours and the maximum load the solution can handle with the current server configuration. 

Location

US

Industry

Insurance

Year

2022

Headlining stats

10X

Response time improvement

1000

Concurrent user load

300%

faster release cycles

70%

Hard parses reduction

50%

Increased connection pool

Process and timeline

01

QualiZeal won the mandate through an RFP

02

Helped the client test their applications hosted on the cloud

03

The client went live just before the peak customer season would start 

01

Tools used

  • Flood.io 
  • Jmeter 
  • Microfocus Load Runner 
  • Azure App insights 
  • New Relic 

02

Problem

The applications hosted on the cloud were not performing with complete efficiency and could not handle the increased number of visitors during the peak season (November to December). Overlooking this issue would have impacted the business during a time when the company expected to generate maximum

03

Challenges

  • No production replica to ensure that no changes in the code or the server’s specs happen during performance testing. It led to unnecessary and expensive repeat tests at different user loads.
  • Testing in UAT environment caused the threat of undocumented changes.
  • Unnecessarily high number of tests per cycle as UAT environment was not a test replica in terms of scaling factor.
  • Access getting blocked due to RTE’s two-factor authentication.

Solution / Outcome

1

Leveraged different tools to ensure delivery was on track

2

Landscape and RTE applications were tested as per the agreed NFRS against the accepted SLA

3

The team highlighted and fixed issues related to critical transactions

4

Tests were scheduled to ensure baselines are captured at different user loads

5

Issue with RTE was mitigated using different options and customized script

Business Impact

1

The client went live just before the start of the peak customer season (November), when the utilization of their applications is the highest

2

Response time improved by 10x, with a 1000 concurrent user load; 32 CPU and 64 GB RAM

3

300% performance improvement (25 secs to 3 secs)

4

70% hard parses reduced by indexing frequently accessed tables

5

Increased connection pool by 50%

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