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Gatling

by Gatling Corp

Open-source load testing tool with a Scala/Java/Kotlin DSL for writing code-driven performance test scenarios — APAC engineering teams use Gatling to simulate APAC user load against web applications and APIs, generating HTML reports with response time percentiles, throughput, and APAC error rates, with CI/CD integration via Maven or Gradle plugins.

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AIMenta verdict
Recommended
5/5

"Open-source load testing tool using Scala DSL — APAC engineering teams use Gatling to write code-driven load test scenarios for APAC web applications and APIs, with real-time metrics, HTML reports, and CI/CD integration. Gatling Enterprise adds distributed APAC load generation."

Features
6
Use cases
3
Watch outs
3
What it does

Key features

  • Scala/Java/Kotlin DSL — code-driven APAC load scenario authoring in git
  • Real-time metrics — APAC throughput, response time, and error rate live view
  • HTML reports — self-contained APAC load test artifacts with percentile charts
  • CI/CD plugins — Maven/Gradle APAC integration for pipeline load testing
  • Assertions — APAC SLA-based pass/fail criteria for automated APAC gating
  • Gatling Enterprise — distributed APAC cloud load generation at scale
When to reach for it

Best for

  • APAC engineering teams wanting load tests as code — Gatling's DSL integrates into APAC git workflows; APAC scenarios are reviewed, versioned, and maintained like application code
  • APAC teams doing CI/CD performance regression testing — Gatling Maven/Gradle plugins run APAC load tests in pipelines with assertion-based APAC pass/fail for automated APAC gating
  • APAC performance engineers testing HTTP APIs and web applications — Gatling's HTTP protocol DSL covers APAC REST, GraphQL, and web socket APAC load scenarios with precise APAC injection control
Don't get burned

Limitations to know

  • ! Scala learning curve for APAC non-JVM teams — Gatling's DSL is Scala-flavored; APAC teams without JVM background may prefer k6 (JavaScript) or Locust (Python) DSL for APAC load tests
  • ! GUI for APAC scenario recording requires Enterprise — Gatling OSS has a recorder but limited GUI; APAC teams preferring point-and-click APAC test authoring should evaluate JMeter or NeoLoad
  • ! APAC distributed load requires Enterprise — Gatling OSS runs single-node APAC load injection; APAC tests requiring millions of APAC virtual users need Gatling Enterprise or alternative APAC distributed tools
Context

About Gatling

Gatling is an open-source load testing tool that uses a code-driven DSL (Scala, Java, or Kotlin) to define APAC performance test scenarios — where APAC engineering teams write Gatling simulations specifying APAC virtual user injection patterns (ramp up 100 users over 60 seconds, constant load at 500 APAC concurrent users for 10 minutes), HTTP request sequences for APAC API endpoints, and assertions (APAC response time p95 < 500ms, APAC error rate < 1%) that fail the APAC load test if breached.

Gatling's code-first approach — where APAC performance engineers write load test simulations as code committed to APAC git repositories alongside application code, enabling APAC pull request reviews of test scenario changes, version-controlled APAC load profiles, and programmatic APAC scenario parameterization using full language constructs (loops, conditionals, APAC data feeding from CSV) — provides APAC engineering teams load tests that evolve with the APAC application rather than becoming stale recorded scripts.

Gatling's HTML report generation — where Gatling produces an interactive HTML report after each APAC load test run showing global statistics (APAC requests per second, mean/p50/p75/p95/p99 response times, APAC error count), per-request breakdown, and APAC active users over time charts — provides APAC performance engineers self-contained APAC load test evidence artifacts that can be archived in APAC CI/CD pipeline artifacts without a separate APAC reporting server.

Gatling Enterprise — where APAC organizations needing distributed APAC load generation (injecting millions of APAC virtual users from multiple geographic APAC locations, cloud-based APAC load injectors in AWS/GCP APAC regions) use Gatling's commercial platform built on the same Gatling DSL — provides APAC enterprise performance engineering teams APAC cloud-scale load generation without rewriting APAC Gatling simulations for a different tool.

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