Here are 100 chapter title suggestions for a book on Locust (Python) testing technology, progressing from beginner to advanced topics:
- Introduction to Load Testing and Performance Testing
- What is Locust? Overview of the Load Testing Framework
- Why Choose Locust for Performance Testing?
- Installing and Setting Up Locust for Your First Test
- Exploring the Locust Web Interface
- Locust Architecture and How It Works
- Writing Your First Load Test with Locust
- Basic Load Testing Concepts and Terminology
- Understanding Virtual Users (VUs) and Their Role in Locust
- Running Your First Test and Interpreting Results
- Configuring Locust for Simple Performance Tests
- Basic Locust Test Structure: Tasks, Users, and Weight
- Running Tests in Different Environments (Local, Cloud, etc.)
- Exploring Locust's Distributed Testing Capabilities
- Understanding the Locust Command-Line Interface (CLI)
¶ Part 2: Scripting and Test Creation with Locust
- Introduction to Locust Test Scripts
- Writing Basic Locust Tasks and Scenarios
- Understanding Task Weighting and Load Distribution
- Simulating User Behavior with Task Set in Locust
- Creating HTTP Requests with Locust's HTTP Client
- Handling User Authentication in Locust Scripts
- Parameterizing Locust Scripts for Dynamic Input
- Simulating Session Management in Locust
- Adding Think Time with
wait_time in Locust
- Using Randomization for Realistic User Behavior
- Creating Complex User Flows in Locust
- Using Locust for API Testing and Load Generation
- Writing Custom Locust Tasks for Load Testing
- Using
@task Decorator for Task Assignment in Locust
- Handling Dynamic Responses and Parsing JSON with Locust
¶ Part 3: Test Configuration and Execution in Locust
- Setting Up User Load and Test Duration in Locust
- Configuring Test Ramps and Steady State Load in Locust
- Running Tests in Headless Mode
- Defining Custom User Classes for Different Load Scenarios
- Simulating Multiple User Types with Different Behaviors
- Customizing Locust’s User and Host Configuration
- Managing Test Run Duration and User Concurrency
- Setting Up Test Scaling with Distributed Locust Workers
- Running Distributed Tests with Locust Master and Workers
- Using Locust’s Command-Line Options for Test Execution
- Viewing Test Execution Metrics in Locust Web Interface
- Exporting Test Results for Further Analysis
- Automating Locust Test Runs with CI/CD Pipelines
- Integrating Locust with Jenkins for Automated Performance Testing
- Running Load Tests on Cloud Environments with Locust
¶ Part 4: Analyzing and Interpreting Locust Results
- Understanding Locust Metrics: Requests, Response Times, and More
- Analyzing Test Results in Locust Web Interface
- Identifying Bottlenecks Using Locust Metrics
- Exploring Throughput, Response Time, and Failures
- Using Locust’s Real-Time Charts to Monitor Load Test Performance
- Exporting Locust Results for Further Analysis (CSV, JSON)
- Creating Custom Dashboards for Test Analysis
- Generating HTML Reports from Locust Results
- Best Practices for Analyzing Load Test Data
- Understanding and Interpreting Locust's Percentiles
- Detecting Latency and Performance Degradation with Locust
- Visualizing Load Test Data in External Tools (Grafana, etc.)
- Identifying Failures in Locust Results and Troubleshooting
- Comparing Multiple Test Runs with Locust Reports
- Post-Test Analysis and Identifying Optimization Areas
¶ Part 5: Advanced Locust Scripting and Techniques
- Advanced Task Control in Locust
- Using Custom Locust Classes for Complex Load Scenarios
- Simulating Delays, Timeouts, and Server Errors
- Building Advanced User Behaviors in Locust Scripts
- Using
events to Track Test Progress and Metrics
- Integrating External Data with Locust for Dynamic Load Generation
- Handling and Simulating Concurrent Requests in Locust
- Integrating Locust with External APIs for Load Testing
- Using Locust with WebSocket for Real-Time Testing
- Advanced Authentication Techniques in Locust Scripts
- Creating Parameterized Load Testing Scenarios in Locust
- Implementing Advanced Error Handling in Locust
- Advanced Session Management Techniques in Locust
- Using Locust with Databases for Complex Load Testing
- Simulating Data-Driven Load Testing with Locust
- Choosing the Right Load Testing Strategy for Your Application
- Load, Stress, and Spike Testing with Locust
- Simulating Realistic User Load with Locust
- Defining Realistic Load Profiles in Locust
- Best Practices for Test Design and Configuration in Locust
- Using Locust for Stress Testing and System Resilience
- Validating Scalability and Performance with Locust
- Load Testing Complex Applications with Locust
- Using Locust for End-to-End Performance Testing
- Identifying and Optimizing Bottlenecks Using Locust
- Validating System Capacity and Scaling with Locust
- Simulating Peak Traffic with Locust
- Setting Up Effective Ramp-Up and Ramp-Down Profiles
- Dealing with Distributed Systems Load Testing in Locust
- Handling Service Level Agreements (SLAs) in Locust Tests
- Integrating Locust with Continuous Integration (CI) Pipelines
- Running Locust in Docker Containers for Scalability
- Integrating Locust with Jenkins for Automated Load Testing
- Visualizing Locust Test Results with Grafana and Prometheus
- Integrating Locust with InfluxDB for Time-Series Data
- Exporting Locust Results to Elasticsearch for Analysis
- Automating Locust Test Execution with GitLab CI
- Integrating Locust with Slack for Test Notifications
- Connecting Locust with Cloud-Based Load Testing Platforms
- Using Locust for Continuous Performance Monitoring
These chapter titles are designed to guide the reader through the entire process of understanding and mastering Locust, from basic setup and scripting to advanced usage in performance testing, result analysis, and integration with other tools and services. The progression from beginner to advanced ensures a smooth learning curve, offering comprehensive coverage for developers, testers, and performance engineers.