SOFTWARE
Performance testing
for modern development teams
Load testing for sofware validates that APIs, microservices, and CI/CD pipelines hold up under production-level load by catching regressions, such as N+1 queries or memory leaks, before they reach staging, using test-as-code that lives in version control alongside your application.
WEBINAR
Scaling API performance testing at Sophos with Gatling
See how Sophos built a scalable, team-owned performance testing practice with Gatling, supporting faster releases, cost control, and SLA validation across a cloud-native stack.
Trusted by leading software and technology innovators
EBOOK
Case study: performance testing across the software industry
Learn how high-growth software teams build performance testing into the delivery process, where performance risk concentrates across the lifecycle, and how Gatling Enterprise Edition helps teams turn load testing into continuous performance intelligence.
Built for CI/CD scale
Performance challenges for software teams
Modern software teams ship through distributed systems: APIs, microservices, event-driven workflows, cloud infrastructure, and frequent releases. Performance risk can appear anywhere in that chain.
Gatling gives engineering teams a way to test those risks before users find them. Instead of treating load testing as a one-time gate at the end of a release, teams can version tests with application code, automate runs in CI/CD, and use performance thresholds to catch regressions earlier.
Continuous delivery only works when teams can validate performance without slowing every deployment. Gatling integrates with GitHub Actions, GitLab CI, Jenkins, and Azure DevOps so teams can run performance checks in the same workflows they already use.
Distributed architectures create dependencies that are hard to validate with isolated tests. Gatling helps teams test service-to-service communication, API gateways, request chains, session behavior, and asynchronous workflows under realistic load.
Kubernetes, autoscaling groups, serverless services, and multi-region infrastructure introduce performance questions that are difficult to answer without controlled load. Gatling Enterprise supports distributed load generation across AWS, Azure, GCP, and Kubernetes so teams can test production-like traffic patterns before critical moments.
REST APIs, GraphQL endpoints, WebSocket connections, and asynchronous messaging systems need to handle concurrent users reliably. Gatling helps teams validate throughput, latency, caching behavior, rate limits, and downstream dependencies before those issues reach production.
Performance testing fails to scale when it lives outside the developer workflow. Gatling supports JavaScript, TypeScript, Java, and Scala, so teams can write tests as code, keep them in version control, review them like application code, and maintain them alongside the systems they protect.
When performance issues are found late, teams face rushed fixes, delayed releases, or risky deployments. Gatling helps move performance feedback earlier by turning load tests into repeatable checks with clear thresholds, dashboards, and reports.
SOLUTION OVERVIEW
Gatling Enterprise Edition for software development teams
Developer-first performance testing for teams that need automation, scale, and shared visibility.Gatling Enterprise Edition helps software organizations move from occasional load tests to continuous performance validation.
Teams can design and maintain tests as code, automate execution in CI/CD, generate cloud-based load, and analyze results from shared dashboards.
Test-as-code development
Run tests from GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
Use configurable thresholds to fail builds when performance regressions appear, then share detailed reports with the teams responsible for the change.
CI/CD pipeline integration
Run tests from GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Use configurable thresholds to fail builds when performance regressions appear, then share detailed reports with the teams responsible for the change.
API and microservices
Test REST APIs, GraphQL queries, WebSocket connections, and asynchronous messaging. Chain requests, manage session data, and model realistic user or service behavior across distributed systems.
Cloud load generation
Generate distributed load across AWS, Azure, GCP, or Kubernetes. Scale traffic across regions to validate production-like patterns, infrastructure limits, and user experience under pressure.
Real-time monitoring and analytics
Use live dashboards during test execution to track response times, throughput, error rates, and other key performance signals. Compare releases, detect regressions, and connect performance results to release decisions.
Developer workflow integration
Get instant feedback with Slack/Teams notifications, JIRA tickets, and pull request status checks.
FEATURE TOOLKIT
Enterprise-grade features
for development teams
Purpose-built for scaling performance testing across agile engineering organizations.
Team governance
Manage shared testing resources with team quotas, role-based access control, and centralized reporting.
Advanced analytics
Compare releases, track trends over time, detect regressions, and monitor SLAs with configurable thresholds.
Enterprise security
Support enterprise requirements with SSO, secrets management, private test packages, role-based permissions, and audit trails.
Automation APIs
Use REST APIs and webhooks to trigger tests, collect results, and integrate performance validation into custom workflows.
Intelligent test execution
Use run-stop criteria to avoid wasting test time when a run has already failed. Distribute load intelligently and run tests in parallel to shorten feedback loops.
Global load distribution
Run tests across multiple regions to validate CDN behavior, latency patterns, and production-like user traffic.
Build performance tests at the speed of development using AI
Gatling thinks AI-first to simplify the developer workflow, from writing your first test to keeping it correct as your system evolves.
What we offer for scripting:
The result: tests get written faster, and more people on the team can write them, not just the two who know how.
- ✓ Registered source repository: github.com/acme/checkout-service
- ✓ Created build-from-sources test: "Checkout Load Test"
- ✓ Started run from Paris location
"Gatling Enterprise was crucial in establishing load testing as a core practice within our engineering teams. We saw increased load testing requests and performance metrics projects, leading to improved load monitoring, application reliability, and customer satisfaction. Gatling's team provided excellent support and flexibility throughout our experience."
Maxime Doucet,
QA Manager
"We’ve been using Gatling for about seven years, and both our organization and the industry have evolved a lot in that time. As we moved heavily toward microservices, we were looking for a true test-as-code model that could scale with our architecture. Gatling gave us that, along with strong collaboration support so multiple users can work in parallel. The dashboards are clear and actionable, making it easy to understand performance results and identify where improvements are needed."
Hemali Parekh,
Senior Engineering Manager
“By combining Gatling’s observability integrations with private locations and test configuration as code, we get a streamlined, end-to-end load testing flow. It allows us to iterate faster, run tests in controlled environments, and be better prepared as our systems evolve.”
Bian Jiang,
Principal Software Engineer
“Building testing culture is essential, and I’ve been fortunate with Gatling in that respect. In the organizations I’ve worked with, including AidenAI, we’ve had strong champions who have been invested in testing and performance for a long time.”
Pradeep Patil
QA Manager
Ship performance,
not problems
Join thousands of developers who trust Gatling for performance testing in their development workflow.
Performance across all industries
Learn how software teams build performance testing into the delivery process, where performance risk concentrates across the lifecycle, and how Gatling Enterprise Edition helps turn load testing into continuous performance intelligence.
