Part 1: Fundamentals of Performance Testing (Performance Testing Revision Cheat Sheet)

📌 Definition

Performance Testing is a non-functional testing technique used to determine how a system performs under expected or peak workload conditions in terms of responsiveness, stability, scalability, and reliability.

🎯 Objectives

  • Identify response time, throughput, and resource utilization.

  • Detect bottlenecks (CPU, memory, I/O, network, DB).

  • Establish a baseline for performance.

  • Ensure the system meets SLAs (Service Level Agreements).

  • Validate scalability and stability.

🛠️ Key Performance Metrics

  • Response Time (Latency): Time taken to respond to a request.

  • Throughput: Number of transactions processed per second/minute.

  • Concurrent Users: Number of users accessing the system simultaneously.

  • Error Rate: Percentage of failed requests.

  • Resource Utilization: CPU, memory, disk I/O, network usage.

🔑 Types of Performance Testing (High-Level)

  • Load Testing – Normal & peak load handling.

  • Stress Testing – Beyond capacity (break point).

  • Spike Testing – Sudden traffic increase.

  • Endurance/Soak Testing – Long-duration stability.

  • Scalability Testing – System growth handling.

  • Volume Testing – Large data handling.

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