Performance Testing using Gatling - Beginner Level

Install Gatling by first installing Java, setting JAVA_HOME, and updating environment variables, then download and unzip Gatling, verify the setup by running a simple Gatling test.

Explore Gatling's bundle structure, including bin, conf, lib, user files, and results, and learn how launch scripts, recorder, simulations, test data, and log settings organize performance tests.

Explore how to generate simulations that act as a proxy between client and server using Gatling, and learn practical, hands-on techniques in this section.

Open the Gatling recorder UI from the Gatling home bin, run the recorder file (.bat on Windows or .sh on Mac/Unix), and explore the HTTP proxy option in Recorder mode.

Configure Gatling proxy recorder on localhost:8000 to intercept browser requests and generate a Scala simulation, handling SSL certificates and recording options in the UI.

Learn to use Gatling's HAR converter recording mode to generate simulations from HAR files by capturing network activity with Chrome dev tools and importing HARs into Gatling.

learn to record a Gatling performance test and generate a script, exploring a four-part structure—protocol configuration, headers, semantic definitions, and simulation definitions—for a computer search scenario with one user.

Run a recorded Gatling simulation from the command prompt, locate the script in the simulations folder, execute it, and review the generated report before preparing the next development environment.

Set up the Gatling development environment by installing JDK 8, configuring IntelliJ with the Scala plugin, and building projects with Maven, including java home and path checks.

Create a Gatling project using Maven by running mvn archetype:generate to select the Gatling template, set groupId, artifactId, and version twenty-seven, then import the new Maven project into your IDE.

Explore the Gatling project structure, from maven pom.xml and dependencies to Gatling folders such as resources (bodies, data), Gatling conf, logback, recorder.conf, and the Scala engine.

Create your first Gatling script by recalling the configuration header, scenario, and simulation definitions, and start building a basic performance test step by step.

Create your first Gatling script by adding a package for organization and including essential Gatling libraries as imports. Understand why these imports are required for successful compilation and execution.

Define the Gatling simulation class and configure the http protocol, then script a scenario visiting a site and its cruises to demonstrate base URL and requests.

Define a Gatling scenario with a Scala variable, name it, and structure it with exec and pause to model a user workflow using a base URL and a get request.

Learn to define and add http headers in Gatling scripts, including single and multiple headers via a map, and attach them to requests to pass key-value information.

Define the simulation by using setup to call the build scenario, inject load with atOnceUsers starting with two, then pass the result to HTTPConfig and httpProtocol, and run the script.

Run the completed Gatling script by using the engine, selecting the script as the run target, and generating a report that reveals requests, user information, and run status.

Enhance a Gatling script after initial setup by adding pauses, silencing noisy requests, and managing resources; learn correlation, feeder data, and response validation to create realistic performance tests.

Record a script for a flight booking app, convert the HAR file into a Gatling simulation, and rename requests to meaningful names like Homepage, searchflight, selectflight, and bookflight.

Explore Gatling pause time by using fixed pauses and random uniform pauses with seconds or milliseconds, configure pauses globally, disable them, and apply percentage and exponential distribution settings.

Learn how to silence unnecessary requests and resources in Gatling by using silentResources, applying silentURI (regex) to specific requests, and not silent overrides to produce cleaner results.

Verify responses with Gatling's check method by validating status, response body, and key elements. Learn correlation and saving parts of responses to reuse data in later requests.

Learn to capture complete response data with bodyString, save it to a session, print it, and use correlation to pass a fresh authenticity token from SelectFlight to BookFlight.

Define the assertion scope, select a statistic and a metric, and set a threshold for percentiles (50, 75, 95, 99) to verify response times and request counts in Gatling simulations.

Learn how to clear browser cache and cookies in Gatling scripts to simulate new visitors, drop session and authentication cookies, and flush cookies for more realistic load testing.

Discover how to use CSP feeders in Gatling to supply usernames and passwords from a data file, and apply batch loading with sequential or random data strategies.

Explore Gatling loops in Scala: repeat, foreach, during, and forever to send the same or parameterized requests multiple times using lists, duration, and conditions.

Think before you script to guide Gatling workload design that matches production load across homepage and flight booking scenarios, using csv data and rate-controlled load injection for accurate performance testing.

Explore Gatling workload simulation by building open and closed injection profiles, with examples of constant rate and constant concurrent users, and learn to choose the right model for load simulation.

Learn how Gatling delivers interactive, structured data for performance testing, accelerates reporting, and reveals global and request-level metrics for stakeholders and user experience.

Gatling report generation walks through a five-user run of a flight booking flow, showing global and per-request data, a failed book flight due to correlation, and the report structure.

Explore Gatling performance metrics in detail, analyzing indicators of response time distribution across intervals, request success and failure, percentiles, errors such as 422, and active users and requests per second.

Apply Gatling to a complete flight booking scenario, recording to HAR, and perform tasks like pause configuration, assertions, correlation, and a CSV feeder to prepare for real-world performance testing.

Explore Gatling in this beginner level course and gain a solid introduction to performance testing, while sharing feedback and queries to support your learning.

Advance your Gatling skills by building performance test scripts and frameworks for multiple protocols, with complex scenarios and injection profiles, and integrate with Maven and Jenkins in a DevOps pipeline.

Master Gatling performance testing from Scala basics to advanced concepts, covering session management, custom feeders, get and post API scripting, and building an end-to-end framework with Jenkins.