A Kubernetes-native platform for running isolated performance tests using various load generators like JMeter, Locust, and k6.
Kangal is a Kubernetes operator designed to automate and manage performance testing within Kubernetes clusters. It creates isolated environments to run load tests using various generators like JMeter, Locust, and k6, handling the entire lifecycle from setup to cleanup. The project solves the complexity of manually orchestrating load testing infrastructure in Kubernetes.
DevOps engineers, SREs, and developers who need to run performance tests in Kubernetes environments and want a scalable, automated solution. Teams already using Kubernetes for infrastructure who want to integrate load testing into their CI/CD pipelines.
Developers choose Kangal because it provides a Kubernetes-native, declarative approach to load testing with multi-backend support and full lifecycle automation. Its unique selling point is the use of Custom Resources and operators to seamlessly integrate performance testing into existing Kubernetes workflows without manual infrastructure management.
Run performance tests in Kubernetes cluster with Kangal
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Uses Custom Resources and operators, seamlessly fitting into existing Kubernetes workflows and reducing manual configuration, as highlighted in the README's philosophy.
Supports JMeter, Locust, k6, ghz, and Fake backends, allowing teams to choose their preferred load generator without vendor lock-in, per the supported backends section.
Handles creation, execution, monitoring, and cleanup of load tests automatically via the controller, streamlining operations from setup to teardown.
Creates dedicated Kubernetes namespaces for each test run, ensuring resource isolation and preventing interference, a key feature mentioned in the README.
Entirely reliant on Kubernetes infrastructure, making it unusable outside Kubernetes and adding complexity for simple or non-Kubernetes setups.
Requires configuration of S3 storage, Ingress controllers, and Helm installations, which can be cumbersome, as indicated by the quickstart guide's assumptions.
Primarily API-driven with CLI usage, lacking built-in GUIs for test management and real-time monitoring, which may hinder user-friendliness for some teams.
As a project from HelloFresh, it has a smaller ecosystem compared to broader tools, potentially affecting long-term support and feature updates, hinted by the DockerHub removal warning.