Build resilient systems that perform under any condition

Modern asynchronous architecture with actor-based concurrency. Build sophisticated test scenarios, analyze deep performance insights, and validate system behavior under extreme conditions.

Try Enterprise Edition for free
Try Enterprise Edition for free

Engineered for how developers
build software

Advanced analytics

DSL-based scripting in Scala, Java, Kotlin, or JavaScript. Version-controlled, maintainable tests integrated into modern DevOps workflows

Code-first testing

Actor-based concurrency with Scala, Akka, and Netty. Simulate tens of thousands of users with minimal resource consumption

Asynchronous architecture

Detailed interactive reports with percentiles, bottleneck analysis, and comprehensive metrics for data-driven optimization decisions

Built for performance engineering excellence

Advanced capabilities designed for performance engineers who need deep control, scalability, and comprehensive analysis

Strategic performance analytics

Infrastructure that scales with you

The best experience for every team

Built for simplicity and speed

Performance testing

Cross-team collaboration

Seamless load testing that speeds your SDLC

Efficient resource utilization

Actor-based concurrency allows high-scale simulation using far fewer resources than thread-per-user architectures. Optimal performance testing infrastructure.

Integrated assertions

Built-in assertion APIs enforce SLAs, verify error rates, and ensure pass/fail criteria are encoded directly into tests for automated validation.

Distributed load generation

Scale testing across multiple machines or regions. Simulate global user traffic and test applications at massive scale without complex infrastructure setup.

Multi-protocol support

HTTP(S), WebSockets, MQTT, JDBC, and more. Comprehensive protocol coverage for complex application architectures and legacy systems.

Observability Integration

Native integration with Datadog, and other observability stacks. Correlate application and infrastructure metrics during testing.

Advanced performance engineering use cases

Sophisticated testing scenarios that performance engineers implement with Gatling's advanced capabilities

Bottleneck detection and analysis
Bottleneck detection and analysis

Identify system slowdowns and validate scalability under real-world conditions. Critical for incident prevention and SLA compliance in production environments.

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Global load simulation
Global load simulation

Distributed testing across regions to simulate realistic global user patterns. Test CDN performance, regional latency, and geo-distributed architectures.

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Capacity planning and optimization
Capacity planning and optimization

Determine optimal resource allocation and system limits. Provide data-driven recommendations for infrastructure scaling and cost optimization.

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Integration with third parties
Integration with third parties

Combine with other tools to expose weak points under variable conditions. Build confidence in system robustness and fault tolerance.

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Complex user journey modeling
Complex user journey modeling

Advanced scripting for intricate workflows with dynamic data, session management, and realistic think times. Model real user behavior patterns.

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Protocol-specific testing
Protocol-specific testing

Specialized testing for WebSockets, MQTT, JDBC, and custom protocols. Comprehensive coverage beyond standard HTTP/HTTPS scenarios.

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"With Gatling Enterprise Edition, we can track our performance over time and allow our development teams to automate the scenarios and runs. Gatling enabled us to automate the performance impact assessment of new feature delivery continuously and before releases."

Simon Vos

Tui

Start testing like you code

Simulate millions of users. Catch bottlenecks early. Scale your infrastructure with confidence.

Need technical references and tutorials?

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