1. Grafana k6 Open-source load testing tool with the best developer experience — available as open source and SaaS for engineering teams to stress-test APIs and microservices at scale.
2. Kube-burner A Kubernetes performance and scale test orchestration toolset designed to stress clusters, collect metrics, and benchmark the limits of Kubernetes environments.
3. Speedscale Validate the performance and quality of your Kubernetes apps with real-world traffic scenarios — capturing and replaying production traffic for accurate load testing.
4. StormForge Autonomous rightsizing for Kubernetes workloads — combining horizontal autoscaling performance with vertical autoscaling efficiency for optimized resource allocation.
5. Apache JMeter Open-source, 100% pure Java application designed to load test functional behaviour and measure performance of web applications, APIs, and microservices.
6. kube-monkey An implementation of Netflix's Chaos Monkey for Kubernetes clusters — randomly terminates pods in production to test cluster resilience and fault tolerance.
7. LitmusChaos An open-source Chaos Engineering platform enabling teams to identify weaknesses and potential outages in Kubernetes infrastructure through controlled chaos experiments.
8. ReadyAPI A low-code API testing platform for development teams providing automated load, security, and functional API testing across any workflow or CI/CD pipeline.
9. Gatling A powerful load-testing solution for applications, APIs, and microservices with detailed performance reports and high-concurrency scenario support.
10. Kube-burner Documentation Official ReadTheDocs reference for Kube-burner — covering workload configuration, metrics collection, alerting, and advanced cluster stress testing scenarios.