Gatling is a powerful open-source load testing tool for web applications. It is designed to help developers and QA teams simulate high traffic loads and assess the performance and scalability of their systems.

Why should you choose Nisa For Gatling Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Gatling Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Gatling Training

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive

Sessions.

COURSE CONTENT :

Module 1: Introduction to Load Testing

• What is Load Testing?
  • Overview of performance testing: Load, stress, spike, and endurance testing.
  • Key concepts: throughput, latency, error rates, response times, scalability.
• Why Use Gatling for Load Testing?
  • Benefits of Gatling: Scalability, ease of use, detailed reports, and its open-source nature.
• Overview of Gatling Features
  • Performance testing with Gatling.
  • Multi-protocol support: HTTP, WebSocket, JMS, etc.
  • Integration with CI/CD pipelines.

Module 2: Gatling Setup and Configuration

• Installing Gatling
  • System prerequisites: Java (JDK 8 or higher).
  • Downloading and installing Gatling.
• Understanding the Gatling Directory Structure
  • Key folders and files: bin, user-files, results, conf, etc.
  • Where to write your simulations.
• Setting Up Your First Gatling Simulation
  • Introduction to the Simulation class and DSL (Domain Specific Language).
  • Basic simulation structure.
  • Configuration of HTTP protocol (base URL, headers, etc.).

Module 3: Writing Your First Gatling Simulation

• Understanding Gatling DSL
  • http protocol configuration.
  • scenario definition.
  • Using exec to define requests.
• Basic HTTP Requests and Responses
  • GET, POST, PUT, DELETE requests.
  • Adding query parameters, headers, and body to requests.
  • Handling response assertions (e.g., status codes, response times).
• User Behavior Simulation
  • Using the pause function for simulating think time between requests.
  • User injection models: atOnceUsers, rampUsers, constantUsersPerSec, etc.

Module 4: Advanced Scenarios and Load Profiles

• Creating Complex User Journeys
  • Multiple HTTP requests in a single scenario.
  • Chaining requests using exec and execSession.
• Advanced Injection Profiles
  • Ramping users gradually: rampUsers, rampUsersPerSec.
  • Constant load and spike testing.
  • Custom injection profiles using the InjectionStep API.
• Simulating Real-World Traffic
  • Feeding dynamic data (CSV files, feeders).
  • Simulating think time and realistic user flows.

Module 5: Working with Feeds and Data-Driven Testing

• Using Feeder Files
  • Loading data from CSV, JSON, or database.
  • Handling dynamic data in simulations.
• Parameterization and Randomization
  • Parametrizing requests using feeder data.
  • Randomizing values in requests for more realistic behavior.
• Data Assertions and Validation
  • Checking responses with custom validation (JSON/XML, status codes, etc.).

Module 6: Performance Metrics and Assertions

• Understanding Performance Metrics
  • Key metrics: response time, throughput, error rates.
  • Statistical analysis: percentiles, averages, max, min.
• Using Assertions in Gatling
  • Validating responses using assertions: status code, response time, headers, content.
  • Response checks using .check(), .status, .body, .jsonPath(), etc.
• Custom Assertions and Conditions
  • Conditional checks based on response data.
  • Using advanced assertions for performance criteria.

Module 7: Load Testing with Multiple Protocols

• Advanced HTTP Protocol Features
  • Handling cookies, sessions, and authentication.
  • Managing request retries and timeouts.
• WebSocket and JMS Testing
  • Simulating WebSocket connections and exchanges.
  • Integrating Gatling with JMS for messaging-based load testing.
• Testing REST and SOAP APIs
  • API testing: RESTful services with JSON or XML responses.
  • Simulating SOAP requests and analyzing responses.

Module 8: Analyzing Results and Reporting

• Reading Gatling Reports
  • Analyzing HTML reports generated by Gatling.
  • Key sections of the report: Response time, request count, errors, and throughput.
• Visualizing Metrics
  • Understanding charts and graphs in Gatling reports.
  • Identifying performance bottlenecks and trends.
• Exporting and Sharing Reports
  • Exporting data for further analysis (CSV, JSON).
  • Sharing performance test results with stakeholders.

Module 9: Advanced Topics

• Distributed Load Testing
  • Using Gatling in distributed mode for scaling load generation.
  • Running tests with multiple machines (Gatling Enterprise or third-party solutions).
• Integrating Gatling with CI/CD Pipelines
  • Running Gatling tests as part of Jenkins, GitLab CI, or other CI tools.
  • Automating performance tests during development cycles.
• Custom Plugins and Extensions
  • Using or creating custom Gatling plugins.
  • Integrating with third-party tools (e.g., Grafana for real-time monitoring).

Module 10: Best Practices and Optimization

• Designing Efficient Load Tests
  • Tips for avoiding resource bottlenecks (network, server, client).
  • Best practices for large-scale load testing.
• Optimizing Gatling Simulations
  • Using asynchronous requests to improve test efficiency.
  • Reducing memory and CPU usage during tests.