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Load Testing.
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Beginner 6
01

What is load testing and how does it differ from other types of performance testing?

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Load testing evaluates how a system performs under expected normal and peak load conditions by simulating realistic user traffic to identify performance bottlenecks before they impact real users.

Key Differences:

  • Load Testing: Tests normal expected load and peak load conditions
  • Stress Testing: Tests beyond normal capacity until system breaks
  • Volume Testing: Tests with large amounts of data
  • Spike Testing: Tests sudden load increases
  • Endurance Testing: Tests sustained load over extended periods

Example Scenario:
If your e-commerce site typically handles 1,000 concurrent users during peak hours, load testing would simulate 1,000-1,500 users to ensure adequate system performance.

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02

What are the key objectives of load testing?

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Primary Objectives:

  • Performance Validation: Ensure application meets performance requirements under expected load
  • Bottleneck Identification: Discover performance constraints in system architecture
  • Capacity Planning: Determine maximum load the system can handle effectively
  • Scalability Assessment: Understand how system scales with increased load
  • Resource Utilization Analysis: Monitor CPU, memory, disk, and network usage patterns
  • Response Time Validation: Verify response times meet SLA requirements
  • Reliability Testing: Ensure system stability under sustained load conditions

Business Value:

  • Prevents performance issues in production
  • Reduces risk of system failures during peak usage
  • Enables informed infrastructure investment decisions
  • Improves user experience and customer satisfaction
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03

What is think time and why is it important in load testing?

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Think time is the realistic pause between user actions that simulates the time real users spend reading content, making decisions, or filling forms before their next action.

Importance:

  • Realistic Simulation: Makes load tests representative of actual user behavior
  • System Recovery Time: Allows system to process requests and recover between actions
  • Resource Management: Prevents unrealistic sustained load that doesn't match real usage patterns
  • Accurate Performance Metrics: Provides meaningful measurements of system behavior

Example Implementation:

// K6 example with think time
export default function() {
  http.get('https://api.example.com/products');
  sleep(Math.random() * 5 + 2); // 2-7 seconds think time
  
  http.post('https://api.example.com/cart', {item: 'product-123'});
  sleep(Math.random() * 3 + 1); // 1-4 seconds think time
}

Without Think Time: Tests would hammer the server unrealistically
With Think Time: Tests simulate real user browsing and decision-making patterns

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04

How do you implement a basic load test using popular tools?

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05

Explain the difference between latency and throughput in load testing

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06

How do you calculate and interpret error rates in load testing?

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Intermediate 9
07

Explain the difference between concurrent users and requests per second (RPS)

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08

What are the different types of load testing patterns?

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09

Compare popular load testing tools (JMeter, K6, LoadRunner)

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10

What are the advantages of cloud-based load testing?

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11

What are the most important performance metrics to monitor during load testing?

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12

What is the significance of percentile response times (P95, P99) over average response time?

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13

How do you determine appropriate load levels for testing?

Part of Pro
14

What is the difference between load testing in test environments versus production?

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15

How do you handle test data management in load testing?

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Expert 5
16

What factors should you consider when designing a load testing strategy?

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17

Explain the concept of performance testing in CI/CD pipelines

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18

How do you identify and analyze performance bottlenecks during load testing?

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19

What is the difference between horizontal and vertical scaling, and how do you test each?

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20

How do you perform load testing for microservices architecture?

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