Gatling

Gatling reports screenshot
Type of business	Private
Type of site	Open-source load and performance testing for web applications
Available in	English
Founded	July 1, 2015; 9 years ago (2015-07-01)
Headquarters	Bagneux, France
Area served	Worldwide
Founder(s)	Stéphane Landelle (CTO)
Industry	Software
Products	Gatling, Gatling Enterprise (Frontline)
URL	gatling.io
Launched	13 January 2012; 12 years ago (2012-01-13)
Current status	Active
Written in	Scala, Java, JavaScript

Gatling is a load- and performance-testing framework based on Scala, Akka and Netty. The first stable release was published on January 13, 2012. In 2015, Gatling's founder, Stéphane Landelle, created a company (named "Gatling Corp"), dedicated to the development of the open-source project. According to Gatling Corp's official website, Gatling was downloaded more than 20,000,000 times (2024). In June 2016, Gatling officially presented Gatling FrontLine (now Gatling Enterprise), Gatling's Enterprise Version with additional features.^[1]

The software is designed to be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications, APIs, and microservices.

Gatling was mentioned twice in ThoughtWorks Technology Radar, in 2013 and 2014,^[2] "as a tool worth trying",^[2] with an emphasis on "the interesting premise of treating your performance tests as production code".^[2]

The latest minor release is Gatling 3.11, published on April 23, 2024.^[3]

Gatling Corp develops the open-source performance testing tool for web applications, Gatling, and its enterprise version, Gatling Enterprise. The Project's aims include:

• High performance
• Ready-to-present HTML reports
• Developer-friendly DSLs for Java, Scala, Kotlin, JavaScript, and TypeScript

• Simulation: The simulation file includes the different scenarios of a test, its parametrization and the injection profiles. Technically speaking, a simulation is a Scala class.^[4] Here are examples of simulations in Java and JavaScript:^[5][6]

//Java

public class ComputerDatabaseSimulation extends Simulation {

  HttpProtocolBuilder httpProtocol =
    http.baseUrl("https://computer-database.gatling.io")
      .acceptHeader("application/json")
      .contentTypeHeader("application/json");

  ScenarioBuilder myFirstScenario = scenario("My First Scenario")
    .exec(http("Request 1")
      .get("/computers/"));

  {
    setUp(
      myFirstScenario.injectOpen(constantUsersPerSec(2).during(60))
    ).protocols(httpProtocol);
  }
}

//JavaScript 

export default simulation((setUp) => {

  const httpProtocol =
    http.baseUrl("https://computer-database.gatling.io")
      .acceptHeader("application/json")
      .contentTypeHeader("application/json");

  const myScenario = scenario("My Scenario")
    .exec(http("Request 1")
      .get("/computers/"));

  setUp(
    myScenario.injectOpen(constantUsersPerSec(2).during(60))
  ).protocols(httpProtocol);
});

• Scenario: A scenario consists of a series of requests. Each scenario within a simulation can have its own injection profile.^[7] Here is an example of a scenario:^[5][6]

//Java

ScenarioBuilder myFirstScenario = scenario("My First Scenario")
    .exec(http("Request 1")
      .get("/computers/"));

  {
    setUp(
      myFirstScenario.injectOpen(constantUsersPerSec(2).during(60))
    ).protocols(httpProtocol);
  }

//JavaScript

const myScenario = scenario("My Scenario")
    .exec(http("Request 1")
      .get("/computers/"));

  setUp(
    myScenario.injectOpen(constantUsersPerSec(2).during(60))
  ).protocols(httpProtocol);
});

• Group: Groups can be used as a subdivision of a scenario. It is also a series of requests, that has a functional purpose (for instance, the login process).
• Request: Gatling is able to simulate complex users' behaviors. For this purpose, it generates the appropriate requests in the system under test. Here is an example of a request in Gatling:^[5][6]

//Java

.exec(http("Request 1")
    .get("/computers/"));

//JavaScript
.exec(http("Request 1")
      .get("/computers/"));

• Injection profile: An injection profile is the number of virtual users injected during the test in the system under test and how they are injected. Here is an example of an injection profile:^[5]

//Java 

    setUp(
      myFirstScenario.injectOpen(constantUsersPerSec(2).during(60))
    ).protocols(httpProtocol);

//JavaScript
setUp(
    myScenario.injectOpen(constantUsersPerSec(2).during(60))
  ).protocols(httpProtocol);

Gatling implemented a fully new architecture for a performance testing tool, in order to be more resource efficient.^[8] It makes it possible to simulate a high number of requests per second with a single machine.^[9]

Gatling comes with a recorder to bootstrap a simulation.

Gatling is provided with a simple^[10] and lightweight^[2] Domain-specific language, in which simulations and scenarios are coded. This allows users to add custom behavior through many hooks.^[11] This makes simulation scripts readable and easy to maintain.^[12]

In 2024 Gatling introduced a new DSL (SDK) for JavaScript and TypeScript.^[13] The JavaScript and TypeScript SDK uses GraalVM to translate JavaScript code to Java and execute load tests on a JVM. The addition of JavaScript and TypeScript support makes Gatling the first polyglot load testing tool in the market.

This is an example of what Gatling's Domain-specific language looks like (see also § Terminology):

val scn = scenario("BasicSimulation")
  .exec(http("request_1")
  .get("/"))
  .pause(5)

At the end of each test, Gatling generates an HTML report. Reports include:^[14]

• Active users over time
• Response time distribution
• Response time percentiles over time
• Requests per second over time
• Responses per second over time

It officially supports the following protocols:

• HTTP
• WebSockets
• Server-sent events
• JMS

Gatling documentation states that it is protocol agnostic, which makes it possible to implement other protocols' support.^[15] Here is a non-exhaustive list of community protocols support:

• MQTT
• Advanced Message Queuing Protocol (AMQP)
• ZeroMQ
• gRPC

Gatling comes out with official and community plugins. It integrates with:

• Integrated development environments (IDE), like Eclipse (software) and IntelliJ IDEA
• Build automation software, or Build tools, like Apache Maven, Gradle, and sbt
• Continuous Integration solutions like Jenkins

Here is a non-exhaustive list of community plugins:

• Apache Kafka
• Java Database Connectivity (JDBC)
• Apache Cassandra
• RabbitMQ
• SQL

Automation with Gatling is related to its simulations' maintainability.^[16] The integration with other developer tools, especially in the DevOps lifecycle, makes it possible to industrialize performance tests, that is to say to fully automate the execution of performance testing campaigns in the software development process.

Gatling is published under Apache License 2.0,^[18] a permissive free software license written by the Apache Software Foundation (ASF).^[19]

The source code is accessible on GitHub.

Gatling Enterprise is the commercial version of Gatling. Gatling Enterprise is proprietary software. It is distributed by Gatling Corp.

Gatling started as an open-source project in 2012. 3 years later, in 2015, its founder, Stéphane Landelle, created a dedicated company named "Gatling Corp".

Gatling was designed by Stéphane Landelle when he was the Chief Technology Officer (CTO) of a French IT consulting firm, eBusiness Information.

In 2015, a dedicated company was created. It provides Gatling's users with professional services and, since 2016, with an Enterprise Version of Gatling, Gatling FrontLine.

The company is based in Bagneux, France, near Paris.

Gatling Corp is a member of Systematic Paris-Region, an Île-de-France business cluster created in 2005,^[20] devoted to complex systems and ICT.^[21] Systematic Paris-Region gathers large groups, SMEs, universities and research labs to promote digital innovation. Gatling is a member of Systematic's Open Source Working Group and was elected member of Systematic's board of directors, as a representative of SMEs, in November 2016.

The company took part in some events, like the Paris Open Source Summit (POSS, 2015, 2016 and 2017 editions), Liferay's 2016 Symposium, Java User Group (JUG)'s meetings, the Paris Gatling User Group and the New York Gatling User Group.

• Apache JMeter
• LoadRunner
• Web server benchmarking
• Software performance testing
• Performance engineering
• Software testing
• Selenium