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SPECIFICTION
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ChaosBlade vs PowerfulSeal

ChaosBlade

chaosblade.io

PowerfulSeal

powerfulseal.github.io

Side by side

FigureChaosBladePowerfulSeal
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
APIYes—
Self-hostedYesYes
Plans published11
Spec score · Chaos Engineering Platforms8.2 (#7)7.5 (#15)
PurposeThe project aims to help enterprises address high-availability problems during cloud-native adoption through chaos engineering.PowerfulSeal injects failure into Kubernetes clusters to detect problems early.

Plans

ChaosBlade

  • ChaosBladeFree

ChaosBlade pricing →

PowerfulSeal

  • Apache-2.0 open-sourceFree

PowerfulSeal pricing →

In their own words

ChaosBlade

ChaosBlade is a free, open-source chaos engineering project comprising the ChaosBlade experiment tool and the ChaosBlade-Box platform. Its stated aim is to help enterprises address availability problems during cloud-native adoption. Experiments cover CPU, memory, network, disk, processes, kernels, and files, as well as multilingual applications and Kubernetes resources. They can run through the command-line interface, Kubernetes YAML and CRDs, HTTP server calls, or the Box interface. ChaosBlade-Box provides a shared experiment interface, automates deployment of experiment tools, and can host ChaosBlade and LitmusChaos. It uses Helm for deployment management and integrates Prometheus monitoring. Safety policies support manual stopping or automatic stopping after a configured timeout. Users can download and unpack the CLI on a host, or install the tool and platform on Kubernetes with Helm. The host installation guide lists Java and MySQL requirements; automatic probe installation also needs Ansible and expect. The project supports Kubernetes and is identified as a Cloud Native Computing Foundation sandbox project.

Visit chaosblade.io

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.

Visit powerfulseal.github.io