Your partner in performance testing

Avoid testing stress and the scalability guessing game with a human and automated approach to software testing.

Why conduct performance testing?

Performance testing is a collection of manual and automated testing techniques to evaluate a software application’s speed, responsiveness, and stability when subjected to a particular load or volume of use. It helps to identify problems and bottlenecks before a release.

Quality

Delivering a world-class digital experience requires a consistently performant application across various end-user traffic patterns, network access locations, and device configurations.

System

The most functional and elegant user journey is only as good as the ability of the system to keep pace with factors that undermine performance. After all, a slow or unreliable user experience is a bad user experience.

A site that loads in 1 second has a transaction conversion rate 2.5x higher than a site that loads in 5 seconds. –
Michael Wiegand, Director of Analytics, Portent

Performance testing with a human touch

Testlio’s performance testing, based on over 10 years of experience, leverages insights from a global network of expert testers and automated tools.

Expertise

Learn best practices and frameworks through Testlio’s performance testing center of excellence.

Automation + Manual Testing

Leverage fused testing to combine automated testing techniques with the unique human insights only available through in-the-wild manual testing.

Flexible staffing

Mix dedicated and on-demand performance engineering resources to meet performance test automation needs.

Technology agnostic

Ensure open frameworks and automation portability to avoid lock-in to specific software testing tools.

Types of performance testing

Imagine skilled testers supporting your automated and manual testing needs – scoping, scripting, test plans, test run management, and analysis.

Stress Testing: Push application beyond normal load conditions to determine which components fail first
Load Testing: Evaluate performance under increasingly high numbers of users
Volume Testing: Also known as flood testing, evaluate the application’s ability to handle large volumes of data
Scalability Testing: Determine the application’s ability to handle increasing load and processing

Spike Testing: Evaluate the application’s ability to handle sudden volume increases
Endurance Testing: Evaluate system performance under load over time
Network Conditions Testing: Leverage various simulated and real-world network condition tools to throttle and measure app performance
System-Level Testing: Validate performance of the front-end and back-end of the application