Load test your web applications before traffic spikes cause outages
Validate web performance, scalability, and reliability under real-world conditions with comprehensive HTTP, API, and user journey testing. Test everything from e-commerce sites to complex web platforms with code-based scenarios that ensure your applications perform flawlessly when users need them most.
When apps get complex, testing gets harder
Modern web applications involve complex user journeys, dynamic content, and massive scale that require sophisticated testing approaches
Traffic spike unpredictability
Web applications face sudden traffic surges from marketing campaigns, viral content, or seasonal events that can overwhelm unprepared systems and cause cascading failures.
Complex user journeys
Modern web apps involve intricate user flows with authentication, state management, dynamic content loading, and multi-step transactions that require realistic simulation.
Performance expectations
Users expect sub-second response times and seamless experiences. Even minor slowdowns can result in abandoned sessions, lost conversions, and revenue impact.
API and microservices
Modern architectures involve multiple APIs, microservices, and third-party integrations that create interdependencies requiring comprehensive testing strategies.
FEATURE TOOLKIT
Load testing designed
for applications
Gatling provides developer-friendly tools and high-performance architecture to validate web application performance under realistic conditions
Code-based testing
Code-based testingWrite maintainable tests using Scala, Java, Kotlin, JavaScript, or TypeScript. Version control, code review, and collaborate on performance testing like any other code.
Built to scale
Gatling’s architecture is designed for high performance from the ground up. You can simulate massive traffic and complex user journeys without needing massive infrastructure. Reliable scale, without the heavy cost.
Powerful dashboards
Detailed, interactive reports with response time distributions, error analysis, and throughput metrics. Identify bottlenecks and performance trends at a glance.
CI/CD integration
Native integration with Jenkins, GitLab CI, GitHub Actions, and other DevOps tools. Automated performance regression testing in your development pipeline.
Realistic user simulation
Model complex user behaviors with think times, data correlation, session management, and dynamic content handling for authentic load testing.
Protocol flexibility
Comprehensive HTTP/HTTPS support plus WebSockets, Server-Sent Events, and JMS. Test APIs, web apps, and real-time applications with one tool.
USE CASES
Made for mission-critical apps
Ensure your applications meet performance expectations under real-world traffic, before users ever feel the impact.
Deploy Gatling load generators on Kubernetes and run tests close to your services. Use native orchestration for parallel runs, isolate namespaces per team, and control CPU/memory limits/requests to test real container throttling behavior.
Exercise AWS Lambda, Azure Functions, and Google Cloud Functions through their HTTP/API triggers. Observe cold-start impact on latency, validate concurrency and throttling limits under bursty traffic, and compare memory/timeout settings for cost–performance trade-offs.
Correlate Gatling test metrics with your cloud and APM data. Forward infrastructure signals to your existing stack and view them alongside Gatling’s response times, errors, and throughput.
Validate API gateways, service meshes, and inter-service HTTP/WebSocket flows under load. Model realistic dependency chains, propagate headers/tokens, and verify resilience patterns (retries, timeouts, circuit breakers) don’t degrade user-visible latency.
Spin up consistent test environments with Terraform or AWS CDK. Version control your load generators, test data, and networking, then trigger Gatling runs from CI so load tests track the same infra definitions as production.
Real business results,
powered by Gatling
PLATFORM
Our platform in action
From test design to insight sharing, Gatling gives you full control of your load testing strategy
Load test your microservices like they're in production
Simulate real-world traffic. Uncover hidden bottlenecks.
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