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Chaos Monkey for Spring Boot vs PowerfulSeal

Both stand on chaos engineering platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Chaos Monkey for Spring Boot

Free plan APISelf-hosted

Choose Chaos Monkey for Spring Boot when your team needs to introduce operational disruptions into a Spring Boot service and inspect its behavior. Check the version compatibility carefully, and begin experiments on a noncritical service outside production as the project advises.

Visit Chaos Monkey for Spring Boot

PowerfulSeal

Free plan Self-hostedWeb

PowerfulSeal provides several ways to run and constrain failure-injection scenarios, including Kubernetes deployment and local installation. Users should account for its Python requirement and access needs for SSH, cloud, or Kubernetes APIs.

Visit PowerfulSeal

The facts

Chaos Monkey for Spring BootPowerfulSeal
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Self-hostedSelf-hosted, Web
Lowest paid planNot publishedFree or on request
Plans publishedNone1
MakerNot publishedNot published
Websitecodecentric.github.iopowerfulseal.github.io
On chaos engineering platforms#10 of 25#14 of 25

Chaos Monkey for Spring Boot: what it does well

  • Free and open source, with contributions welcomed.
  • Can be added as a project dependency or external dependency.
  • Targets annotated beans, health indicators, and outgoing-request clients.
  • Runtime configuration controls are available through Actuator HTTP or JMX.
  • Documentation covers Unleash and several monitoring systems.

What to know first

  • Each version targets a specific Spring Boot version.
  • Actuator must be a project dependency for runtime configuration controls.
  • The external JAR may break an app using a different Spring Boot version.

PowerfulSeal: what it does well

  • Defines experiments in YAML policy files
  • Works with Kubernetes, cloud platforms, and local machines
  • Autonomous metrics support stdout, Prometheus, and Datadog
  • Label mode can limit targets, times, and probability

What to know first

  • Local pip installation requires Python 3.7 or newer
  • Cloud use requires credential configuration
  • Needs SSH, cloud, and Kubernetes API access

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