Testing GET APIs with Summary Report
🧪 Scenario: Load Testing a Podcast Page
It handles 1000 users
Response times stay under 2s
No errors occur
🛠️ Test Plan:
Number of Threads (users): 1000
Ramp-Up Period (in seconds): 20
Loop Count: 1
🌐 HTTP Request Sampler:
Method: GET
Path: https://dev.to/pod
📈 Listeners: Summary Report
📊 Expected Metrics to Watch
Average Response Time should be < 2000ms
Error = 0% ideally
Throughput > 80 req/sec
Standard Deviation: Lower = more stable server
🔍Analyzing the Results from Summary Report
Samples: 1000 | Average: 1224 ms | Error %: 0% | Throughput: 48.5/sec
✅ Average Response Time = 1224ms < 2000ms
✅ Error = 0 => No error, all 1000 requests were successful, API is functionally stable.
⚠️ Throughput = 48.5 req/sec < 80 req/sec => Indicates that while stable, the system could struggle under heavier loads.
🛠️ 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.
🧠 Wrap-Up
Practicing JMeter isn’t just about throwing traffic—it’s 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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