Testing GET APIs with Summary Report
π§ͺ Scenario: Load Testing a Podcast Page
It handles 1000 users
Response times stay under 2s
No errors occur
π οΈ Test Plan:
Number of Threads (users): 1000
Ramp-Up Period (in seconds): 20
Loop Count: 1
π HTTP Request Sampler:
Method: GET
Path: https://dev.to/pod
π Listeners: Summary Report
π Expected Metrics to Watch
Average Response Time should be < 2000ms
Error = 0% ideally
Throughput > 80 req/sec
Standard Deviation: Lower = more stable server
πAnalyzing the Results from Summary Report
Samples: 1000 | Average: 1224 ms | Error %: 0% | Throughput: 48.5/sec
β
Average Response Time = 1224ms < 2000ms
β
Error = 0 => No error, all 1000 requests were successful, API is functionally stable.
β οΈ Throughput = 48.5 req/sec < 80 req/sec => Indicates that while stable, the system could struggle under heavier loads.
π οΈ Tips for Practice
Change concurrency: Try 100, 500, 2000 users and compare.
Add timers: To simulate real-user delays.
Use CSV DataSet: Feed dynamic data like usernames.
π§ Wrap-Up
Practicing JMeter isnβt just about throwing trafficβitβs about:
Understanding behavior under load.
Catching bottlenecks early.
Delivering stable apps.
Start with one endpoint. Read the graphs. Tune as you go.

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