PowerfulSeal vs Reliably
PowerfulSeal
powerfulseal.github.ioReliably
reliably.comSide by side
| Figure | PowerfulSeal | Reliably |
|---|---|---|
| Price from | Free | £40/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Chaos Engineering Platforms | 7.5 (#15) | 8.1 (#9) |
| Purpose | PowerfulSeal injects failure into Kubernetes clusters to detect problems early. | Reliably helps teams build resilience engineering capability and deliver more reliable products by exploring operational risks and incidents. |
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.
Reliably
Reliably helps teams examine operational risks and incidents as part of resilience engineering. Built around an open-source chaos engineering platform based on Chaos Toolkit, it offers an experiment builder with more than 300 actions, including attacks and probes. Teams can import JSON Chaos Toolkit experiments, reuse templates, schedule runs, and review scores, freshness indicators, timelines, and dashboards. Experiments can run as GitHub Actions, through Reliably-managed execution, with the CLI, in Docker, or as Kubernetes jobs or cron jobs. Listed targets include AWS, Azure, Google Cloud, Kubernetes, Prometheus, and Spring. Pre-checks can prevent a run from starting; configured safeguards can interrupt one during execution. Environments store variables and encrypted secrets for the app, CLI, or GitHub workflows. The Free plan is free and limits teams to one member, 180 cloud execution minutes per month, a 10-minute cloud execution cap, and two weeks of data retention. Start costs £40 a month, billed monthly.