Load testing is a critical part of the Agile development process. By identifying potential bottlenecks before deployments, you can help avoid costly downtime and poor user experiences. The challenge is converting the massive amount of data into tangible insights that developers can quickly use to make fixes.
Take a look at three of the most important performance metrics to watch in your load tests and how to interpret them to diagnose bottlenecks in your application.
Use this checklist of best practices to ensure that you’re getting the most benefit out of your load testing efforts.
- Identify the Right Test Cases
Find the user workflows that are most important and focus load testing on those areas rather than trying to achieve complete test coverage.
- Choose the Right Type of Test
Load tests should focus on realistic loads rather than identifying peak load conditions — you may also want to consider soak tests, stress tests and other performance tests.
- Don’t Forget Your Dependencies
Third-party APIs and other dependencies are easy to mock and forget, but they play an important role in the actual user load times.
- Define Your KPIs from the Start
Create a baseline for performance and use that as a starting point, while incorporating SLAs and other business factors that influence performance requirements.
- Take Resource Usage into Account
It’s tempting to fix performance problems by throwing more resources at the problem, but these issues will only grow more expensive over time.
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