Performance testing
for modern development teams

Continuous deployment demands performance validation without slowing development velocity. Teams need automated testing that integrates seamlessly with existing CI/CD pipelines and provides instant feedback on performance regressions.

Distributed architectures create performance interdependencies that are difficult to test. Service-to-service communication, API gateways, and async messaging require comprehensive testing of the entire system under load.

Kubernetes deployments, auto-scaling groups, and serverless functions create dynamic infrastructure that's hard to test. Load balancer configuration, container resource limits, and scaling policies need validation under realistic conditions.

REST APIs, GraphQL endpoints, and real-time WebSocket connections must handle concurrent users efficiently. Database connection pooling, caching strategies, and rate limiting require performance validation before production deployment.