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Performance Testing, Load Testing, Stress Testing, Volume Testing

 

🚀 Performance Testing

Performance Testing is a type of non-functional testing that evaluates the speed, stability, scalability, and responsiveness of a software application under a specific workload.

🔹 Goals:

  • Identify bottlenecks
  • Ensure the system meets performance benchmarks
  • Validate response time, throughput, and resource usage

Example: Testing how fast a banking app processes 10,000 concurrent transactions.

👥 Load Testing

Load Testing is a subset of performance testing that checks how a system behaves under expected or peak user loads. It simulates multiple users accessing the system simultaneously.

🔹 Purpose:

  • Validate system performance under normal and high traffic
  • Identify scalability limits and response delays

Example: Simulating 5,000 users shopping during a flash sale on an e-commerce site.

💥 Stress Testing

Stress Testing evaluates the system’s robustness and stability by pushing it beyond normal operational limits. It helps identify the breaking point and how the system recovers from failure.

🔹 Purpose:

  • Test system behavior under extreme load
  • Detect crashes, memory leaks, and recovery time

Example: Testing a result portal when 100,000 students try to access it simultaneously after results are announced.

🧱 Volume Testing

Volume Testing (also called Flood Testing) checks how a system performs when handling large volumes of data in the database or files.

🔹 Purpose:

  • Assess response time, data integrity, and storage handling
  • Identify issues like data loss, slow queries, or memory overflow

Example: Testing a music streaming app’s behavior when millions of songs are uploaded to the database.

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