Objective: Create realistic performance test scenarios that can be used to simulate high load conditions and identify potential bottlenecks in the codebase.
Instructions:
- Consider realistic user behavior: Analyze typical user workflows and interactions with the system.
- Identify critical user flows: Focus on simulating user actions that are most likely to stress the system under high load, such as:
- User login/authentication
- Searching for products or content
- Adding items to a shopping cart
- Placing orders
- Determine user load and distribution:
- Estimate the expected number of concurrent users during peak hours.
- Define the geographic distribution of users, if relevant.
- Specify performance metrics: Clearly define the key performance indicators (KPIs) to be measured during the tests, such as:
- Response time
- Throughput (transactions per second)
- Error rate
- Resource utilization (CPU, memory, network)
- Use a performance testing tool: Structure the test scenarios in a format compatible with a performance testing tool like JMeter, Gatling, or Locust.
Expected Output: A set of performance test scenarios, defined in a suitable format for a chosen testing tool, that:
- Realistically simulate user behavior and load patterns.
- Target critical user flows to stress the system under high load.
- Include clear performance metrics and thresholds for evaluating system performance.