Load Testing vs Stress Testing

 
 
 
 
 
 
 

All the stress testing tools that can help a website or intranet application developer to ensure good performance and no crash under stress.

 

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 Load vs Stress Testing
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What is Stress Testing?

Stress testing refers to software testing to determine whether its performance is satisfactory under any extreme and unfavorable conditions, which may occur as a result of heavy network traffic, process loading, maximum requests, etc.

Most systems are developed under the assumption of normal operating conditions. Thus, even if a limit is crossed, errors are negligible if the system undergoes stress testing during development.

Stress testing emphasizes availability and error handling under extremely heavy loads to ensure software does not crash due to insufficient resources. Software stress testing focuses on identified transactions to break transactions, which are heavily stressed during testing, even when a database has no load. The stress testing process loads concurrent users beyond normal system levels to find the system's weakest link.

Stress Testing helps to determine:

  • How the hardware reacts during stress period
  • Errors in slowness and at peak user loads
  • Data corruption issues during stress period
  • Any security loop holes during stress period

The Difference Between Load Testing and Stress Testing

Load Testing attempts to measure how well the application performs at a given load and modeling the expected usage by simulating multiple users accessing the program's services concurrently.

Stress Testing attempts to break the system and determine its stability by testing it beyond normal operation capacity.

Load testing could be considered like a non destructive test, whereas stress testing could be considered like a destructive test.

Conclusion

Despite these differences, there is one common ground between these two methods of testing.

Most problems have to do with the performance bottlenecks that arise when multiple users need to access a common resource.

By identifying these problems early on, testers can optimize applications, upgrade hardware, or employ caching strategies to get performance improvements before the software gets released.

 

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