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Performance Testing Training for QA Professionals
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Performance Testing Training for QA Professionals

Training Objective

By the end of this training, participants will be able to:

  • Understand the role of Performance Testing within Quality Assurance

  • Design realistic performance test scenarios

  • Identify and analyze key performance metrics

  • Execute and evaluate performance tests professionally

  • Communicate performance risks effectively to technical and business teams

Module 1: Introduction to Performance Testing in QAbjective

Why Performance Testing Matters in QAbjective

In professional QA, validating functionality is not enough. Performance directly affects:

  • User experience

  • System availability

  • Business scalability

  • SLA compliance

A system that works but performs poorly is still considered a defect from a QA perspective.


Performance Testing is a type of non-functional testing that evaluates how a system behaves under different load conditions, measuring response times, stability, and resource usage.

Module 2: QA Role in Performance Testing bjective

A performance-focused QA professional:

  • Analyzes non-functional requirements

  • Designs realistic test scenarios based on user behavior

  • Defines performance acceptance criteria

  • Identifies risks before production

  • Acts as a bridge between Development, DevOps, and Business

📌 Key mindset: QA translates technical metrics into business impact.

Module 3: Types of Performance Testing

1. Load Testing

Validates system behavior under expected user load.

Example:
1,000 concurrent users performing login and search operations.


2. Stress Testing

Pushes the system beyond its limits to identify:

  • Breaking points

  • Failure behavior

  • Recovery capabilities


3. Spike Testing

Evaluates system response to sudden, extreme traffic increases.

Example:
Traffic jumps from 100 to 5,000 users in seconds.


4. Endurance (Soak) Testing

Runs the system for extended periods to detect:

  • Memory leaks

  • Performance degradation over time


5. Volume Testing

Measures performance impact when handling large data volumes.