Load test your API infrastructure before it breaks in production
Simulate thousands of concurrent requests to validate the scalability and resilience of your microservices architecture, before your users feel the impact.
Why API testing breaks most tools
APIs and microservices have complex interdependencies, stateful protocols, and distributed bottlenecks that traditional tools miss
Service dependencies are complex
Testing one API in isolation tells you nothing about how it performs when integrated with databases, message queues, and downstream services.
Distributed bottlenecks hide
Performance issues emerge in service orchestration, network latency, and cross-service communication patterns that only appear under load.
Scale problems appear suddenly
Testing 10 requests locally reveals nothing about what happens with 10,000 concurrent users hitting your API during peak traffic.
Realistic scenarios are critical
Simple GET requests don't represent real user journeys with authentication, complex payloads, and multi-step workflows.
FEATURE TOOLKIT
API load testing designed
for microservices
Gatling understands distributed architectures, service dependencies, and the complex scenarios your APIs face under heavy load
Realistic user journeys
Script complex API workflows that mirror real user behavior. Test authentication flows, data processing pipelines, and multi-service transactions.
Scale to millions of requests
Push your API infrastructure to its limits. Find out exactly how many concurrent requests you can handle before things start breaking.
End-to-end visibility
Monitor request latency, error rates, and resource utilization across your entire microservices stack with distributed tracing integration.
Catch regressions automatically
Set SLA thresholds for response times and error rates. Stop deployments automatically if API performance degrades.
Correlate test data with observability tools
Track response times, error rates, and system behavior during tests.Send results to Datadog or Dynatrace to view performance in context.
Multi-protocol support for distributed systems
Go beyond REST: test WebSocket, gRPC, JMS, MQTT, and more in the same scenario.Ideal for service meshes, event-driven systems, and polyglot APIs.
USE CASES
Mission-critical APIs in action
Wherever performance, uptime, and real-time response matter, developers use Gatling to validate their API and microservices infrastructure under real load.
Simulate payment flows, checkout sequences, and order processing endpoints.Validate latency and throughput under heavy concurrency with authentication, retries, and multi-step transactions.
Simulate high traffic on APIs deployed behind Kong, Istio, or Apigee.Validate rate limiting, routing, and authentication behavior through real-world usage patterns — without bypassing your gateway.
Stress test HTTP, gRPC, and JMS endpoints that feed into Kafka, MQTT, or internal queues. Simulate high-throughput event flows to validate system stability, ingestion limits, and real-world traffic handling.
Validate API stability when integrating with external services or third-party systems. Ensure your system degrades gracefully when upstream or downstream APIs experience latency or failure.
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.
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