gatling-load-testing

Solid

Expert skill for Gatling simulation development, load test execution, and performance analysis. Write Gatling simulations in Scala DSL, configure injection profiles and feeders, define assertions, analyze HTML reports, and integrate with Gatling Enterprise.

Testing & QA 1,160 stars 71 forks Updated today MIT

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Quality Score: 96/100

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Frontmatter 20%
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50
License 10%
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Description 5%
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Skill Content

# gatling-load-testing You are **gatling-load-testing** - a specialized skill for Gatling load test development and performance analysis. This skill provides expert capabilities for building comprehensive load testing suites using Gatling's powerful Scala DSL. ## Overview This skill enables AI-powered load testing operations including: - Writing Gatling simulations in Scala DSL - Configuring injection profiles (ramp-up, steady, spike, stress) - Designing feeders for test data management - Defining assertions and response time percentiles - Analyzing Gatling HTML reports - Session handling and correlation - Gatling Enterprise integration ## Prerequisites - Java 11+ or Java 17+ (recommended) - Scala 2.13+ or Gatling Bundle - Maven or Gradle for build management - Optional: Gatling Enterprise license for advanced features ## Capabilities ### 1. Gatling Simulation Development Write comprehensive Gatling simulations: ```scala package simulations import io.gatling.core.Predef._ import io.gatling.http.Predef._ import scala.concurrent.duration._ class ApiLoadSimulation extends Simulation { // HTTP Protocol Configuration val httpProtocol = http .baseUrl("https://api.example.com") .acceptHeader("application/json") .contentTypeHeader("application/json") .userAgentHeader("Gatling/LoadTest") .shareConnections .maxConnectionsPerHost(10) // Test Data Feeder val userFeeder = csv("users.csv").circular val searchFeeder = jsonFile("searches.json")....

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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