deployment and operations
Performance Profiling And Load Testing Orientation
Performance work starts with measurement. Profiling identifies where time and memory are spent; load testing shows how a system behaves under representative concurrency and traffic shape.
Measure A Representative Workload
- Measure latency distributions, errors, throughput, and saturation.
- Profile representative slow paths.
- Test staging or controlled environments safely.
Compare Before And After
- Define baseline workload.
- Run controlled test.
- Change one bottleneck and compare.
Avoid Misleading Tests
- Average latency hides tail problems.
- Unrealistic load creates misleading results.
- Load tests can damage shared environments.
Load Test Report
workload: product list and product detail mix
measure: requests/sec, p50, p95, p99 latency, error rate
observe: CPU, memory, FPM queue, database load, cache hit rate
Profiling and load testing are useful when one measured bottleneck is improved without guessing. Run controlled tests against an approved environment; an unrealistic or unsafe load test can create misleading results or damage shared systems.
Practice
Practice: Plan A Product API Load Test
Plan a controlled load test for product-list and product-detail API routes. Define the workload, signals, and safety limits before running it.
Requirements
- Measure latency distributions, errors, throughput, and saturation.
- Profile representative slow paths.
- Test staging or controlled environments safely.
- Define baseline workload.
- Run controlled test.
- Change one bottleneck and compare.
Show solution
Choose a representative mix of list and detail requests, expected concurrency, duration, and an approved target environment. Measure throughput, errors, p50, p95, and p99 latency alongside CPU, memory, FPM queueing, database load, and cache behaviour.
Set stop conditions so the test cannot overwhelm shared systems. Profile a slow path, change one bottleneck, and compare the same workload before claiming an improvement.