Krkn-AI vs Toxiproxy

Krkn-AI is a free, open-source tool for automatically running chaos scenarios and finding experiments to evaluate system resilience. It uses evolutionary algorithms to generate experiments from Krkn scenarios, guided by user-defined objectives such as SLOs and application health checks. Its discover command creates a YAML configuration populated with cluster component information and basic setup. Results show the impact of scenarios on application liveness and include fitness scores; Prometheus metrics can measure system response. An interactive dashboard can monitor experiment results. The project describes testing Kubernetes and OpenShift applications and requires a cluster kubeconfig. Krkn-AI can be installed as a Python CLI or run from a pre-built container image, including on Kubernetes. Listed requirements include Python 3.11 or later, krknctl, oc or kubectl, Podman, Helm 3.x, and a Kubernetes or OpenShift cluster kubeconfig. The repository lists the Apache-2.0 license. Its README describes the tool as under active development and advises users to use it at their own risk. The standard container run example uses host networking and privileged mode, while the guide also documents a FUSE-based option without the privileged flag.

Toxiproxy is a free, open-source TCP proxy for testing how software responds to network and system problems in development, testing, and CI. Applications route test connections through it, then users change connection behavior through an HTTP API or command-line interface. Built-in toxics can add latency or jitter, restrict bandwidth, delay socket closure, time out or reset connections, slice TCP data, limit transmitted data, or drop packets. Settings support deterministic connection changes as well as randomized chaos. The API manages proxies and toxics, resets proxies, and returns version information and Prometheus-compatible metrics. It listens on port 8474; configuring a proxy with listen port 0 assigns an ephemeral port. Client libraries are listed for Ruby, Go, Python, .NET, PHP, Node.js, Java, Haskell, Rust, and Elixir. Installation options include Linux packages and binaries, Homebrew and MacPorts, a Windows download, a container image, and building from source with Go. The project identifies its license as MIT. Its HTTP API is unauthenticated by default, though bearer-token authentication is supported.