PowerfulSeal vs Toxiproxy
PowerfulSeal
powerfulseal.github.ioToxiproxy
github.comSide by side
| Figure | PowerfulSeal | Toxiproxy |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Chaos Engineering Platforms | 7.5 (#15) | 8.2 (#8) |
| License | PowerfulSeal is distributed under the Apache-2.0 license. | The GitHub repository identifies the project license as MIT. |
| Metrics | Autonomous mode supports stdout, Prometheus and Datadog metric collectors. | Toxiproxy exposes Prometheus-compatible metrics through its HTTP API at /metrics. |
| Purpose | PowerfulSeal injects failure into Kubernetes clusters to detect problems early. | Toxiproxy is a TCP proxy for simulating network and system conditions in chaos and resiliency testing. |
Plans
In their own words
PowerfulSeal
PowerfulSeal is a free, Apache-2.0 tool that injects failures into Kubernetes clusters to expose problems early. Users describe complete chaos experiments in YAML policies and choose autonomous, interactive, or label operation. It supports Kubernetes, OpenStack, AWS, Azure, GCP, and local machines. Autonomous mode can collect metrics through stdout, Prometheus, or Datadog, while its web interface can show logs and the policy. Policies can schedule one run for a CI pipeline or continuous execution. Label mode controls which pods may be killed, on which days and times, and with what probability. Local installation uses pip and requires Python 3.7 or newer; Docker images are published for each release. PowerfulSeal can run inside Kubernetes and load scenarios from Custom Resources. Cloud configurations cover Azure, AWS, OpenStack, and GCP. It needs SSH, cloud, and Kubernetes API access, but no external database or Spinnaker.
Toxiproxy
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.