Ensuring your web application’s performance improves or remains consistent over time is crucial. If you’re curious about how to track these changes between different builds, here’s a concise guide to get you started:
Step 1: Identify Key Performance Indicators (KPIs)
First, decide which aspects of your application you’re interested in comparing. This could be anything from page load times and API response times to CPU and memory usage across builds.
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Step 2: Create a Benchmark
Utilize a tool like Apache JMeter to craft a performance test script. This script will act as your benchmark, simulating user interactions to measure the KPIs you’re interested in.
Step 3: Test Your Initial Build
Run your JMeter test against the current version of your application. Monitor the system’s performance closely and save these initial test results for future comparison.
Step 4: Deploy and Test the New Build
After deploying the new build of your application on the same environment (to ensure hardware and network conditions don’t affect the results), rerun your JMeter test.
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Step 5: Compare and Analyze
Now, it’s time to compare the results from both tests. Look for improvements or degradations in performance by examining metrics such as response times, latency, throughput, and bytes per second.
A Pro Tip: Consistency is key when comparing performance. Ensure that both tests are run under identical system conditions to avoid skewed results.
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If this process seems daunting, Load Focus is here to help. As a Cloud Load and Performance Service, Load Focus not only allows you to save all your test configurations and results but also makes comparing these metrics between different test runs a breeze. With its intuitive compare functionality, you can easily visualize changes in response times, latency, throughput, and more on a single chart.
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