NeoLoad’s speed ensures problem-free security rollout
A new security initiative was introduced across all vital enterprise services and apps. This required the performance engineering team to deliver comparisons and new baselines on performance to ensure a smooth and successful rollout.
Corporate security regulation compliance required that the performance testing team also create separate timing windows during which all testing can/cannot be executed. Specifically, scheduling and resource coordination had to accommodate a 7 p.m. to 6 a.m. window. Delivering this quickly became an additional success metric. If time compression wasn’t hard enough, the testing days demanding higher load volumes grew infeasible with their legacy solution, LoadRunner. Unable to fulfill the new testing requirement resulted in the need to seek an alternative testing provider.
Security patches and improvements must be completed quickly and tested comprehensively, especially for a health services giant. Updates can’t sustain the wait that legacy performance testing solutions require, and without visibility over possible service degradation, rollouts can be risky and costly.
Over three weeks with a NeoLoad testing portfolio of >30 web and mobile applications and ~20 APIs, the company’s dedicated performance team completed its migration and met the delivery SLA. They also realized what they defined as “wins” using crucial NeoLoad capabilities such as mobile and AWS testing.
“NeoLoad’s plug-and-play UI was so easy-to-use that we were able to train colleagues ourselves within a few days quickly,” according to the company’s Director of IT Services.
So, in less than the two-week budget allotment, full API and end-to-end performance testing were completed using NeoLoad with ease. The team was able to roll out the new security measures with no user impact.
- Reduced release cycle time by 80-90%
- Virtually eliminated priority-1 war rooms, with 99% successful releases
- Improved IT operations efficiency, cutting allocated support costs by 50%
- DevOps team efficiency improved by 15%