Gatling – Performance Testing

Module 1: Performance Testing with Gatling

• Code-first performance testing philosophy
• Gatling vs JMeter vs k6: developer comparison
• Architecture: Simulation, Scenario, Protocol
• Installing Gatling: bundle, Maven plugin, sbt
• First simulation in Scala
• Interactive and batch execution modes

Module 2: HTTP Protocol Configuration

• HTTP protocol builder: baseUrl, headers, settings
• Session and cookie management
• Response compression and connection pooling
• HTTPS and SSL configuration
• HTTP/2 protocol support in Gatling
• Traffic capture and recording with proxy

Module 3: Scenario Design

• exec, pause, loop, and conditional logic
• Group: composite transaction measurement
• Random order and switch for realistic behaviour
• Chaining multiple HTTP requests
• Session attributes for correlation
• Realistic think time modelling

Module 4: Feeders & Test Data

• CSV, JSON, database, and random feeders
• Circular and shuffle feeder strategies
• Custom programmatic feeders
• Session-based data injection
• Large dataset management
• Combining multiple feeder sources

Module 5: Checks & Assertions

• Status code, header, and body checks
• JSONPath and XPath response validation
• Saving extracted values to session
• Conditional checks and failure handling
• Global assertions: response time and error SLAs
• Performance budget enforcement

Module 6: Injection Profiles

• AtOnceUsers, RampUsers, ConstantUsersPerSec
• RampUsersPerSec and StressPeakUsers
• Closed vs open load model comparison
• Spike, soak, and stress test profiles
• Combining multiple injection scenarios
• Realistic traffic pattern simulation

Module 7: Results Analysis & Reporting

• Gatling HTML report anatomy and navigation
• Percentile analysis: P50, P75, P95, P99
• Throughput and active users over time charts
• Error distribution and root cause analysis
• Comparing runs across deployments
• Gatling Enterprise real-time dashboard

Module 8: CI/CD & Advanced

• Maven plugin for build integration
• Jenkins Gatling plugin and trend graphs
• GitHub Actions continuous performance testing
• Distributed load with Gatling Enterprise
• E-commerce load test design case study
• Performance baseline and regression detection

Our Gatling instructors are performance engineers and Scala practitioners who have load tested high-traffic web applications, microservices APIs, and financial platforms. They teach Gatling as a developer tool — clean Scala DSL, version-controlled simulations, and CI/CD pipeline integration from day one.