Load test your cloud infrastructure before
auto-scaling fails in production
Validate elastic scaling, multi-region performance, and cloud-native architectures with distributed load testing designed for modern cloud environments.
Why cloud testing breaks traditional tools
Cloud infrastructure requires dynamic scaling validation,
geo-distributed testing, and multi-tenancy considerations
that traditional tools simply cannot handle
Millions of concurrent
API calls
Mobile app launches and viral content create sudden spikes in backend API requests. Testing users locally tells you nothing about handling concurrent users.
Elastic resource management
Container orchestration, serverless functions, and managed services introduce dynamic resource allocation that requires sophisticated testing scenarios.
Geo-distributed performance
Multi-region deployments require testing from global locations to validate CDN performance, regional latency, and cross-zone data synchronization.
Multi-tenancy
resource contention
Shared cloud infrastructure creates unpredictable performance variations due to noisy neighbors and resource contention that affect application behavior.
FEATURE TOOLKIT
Cloud-native load testing designed for elastic infrastructure
Gatling's distributed architecture and cloud-first approach validates modern cloud applications under realistic conditions
Distributed load generation
Generate load from multiple cloud regions simultaneously. Test global applications with realistic geographic distribution and network conditions.
Real-time observability
Integrate with Datadog and Dynatrace. Correlate test metrics with infrastructure performance in real-time.
Auto-scaling validation
Test horizontal pod autoscaling, EC2 auto-scaling groups, and serverless function scaling. Validate that your infrastructure responds correctly to load changes.
Cost optimization
Optimize cloud spending through performance-driven capacity planning. Right-size instances and validate cost-performance ratios under load.
CI/CD pipeline integration
Automate cloud performance testing in DevOps workflows. Catch infrastructure regressions before they reach production environments.
Resilience testing
Combine load testing with chaos engineering to validate fault tolerance, failover mechanisms, and disaster recovery procedures.
USE CASES
Every cloud deployment needs performance validation
Whether it's migration, scaling, or optimization, when your infrastructure is in the cloud, performance testing is critical
Test that your Kubernetes HPA, EC2 auto-scaling groups, and serverless functions scale correctly under varying load patterns and traffic spikes.
Ensure application performance consistency during cloud migration. Compare on-premises vs cloud performance and validate migration success.
Validate global application performance across AWS regions, Azure zones,
and GCP locations. Test CDN effectiveness and cross-region failover.
Right-size cloud resources based on actual performance data. Optimize instance types, database configurations, and storage solutions for cost-efficiency.
Simulate intense traffic to mobile backends, GraphQL endpoints, and edge-facing services.Surface thread saturation, connection pool exhaustion, and backend contention by pushing your infrastructure to its limits.
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.
Need technical references and tutorials?
Need the community edition for local tests?
