Chaos Monkey for Spring Boot

Spec sheet

Purpose

Chaos Monkey for Spring Boot tests Spring Boot applications by injecting failures during operation.Read 8 Oct 2026 · codecentric.github.io

Intended users

The project is focused on Spring Boot applications and aims to help test application behavior such as fallbacks, network latency, and service failures.Read 8 Oct 2026 · codecentric.github.io

Integrations

The documentation describes using Unleash to control feature toggles and springdoc-openapi to show Chaos Monkey endpoints in Swagger UI.Read 7 Oct 2026 · codecentric.github.io

Support

The project directs bug reports and feature requests to GitHub Issues and general usage questions to Stack Overflow with the spring-boot-chaos-monkey tag.Read 8 Oct 2026 · github.com

Headquarters

Solingen, GermanyRead 28 Sep 2026 · codecentric.github.io

Founded

2004Read 28 Sep 2026 · codecentric.github.io

Activation

You can add it as a project dependency or load it as an external dependency when starting a Spring Boot application.Read 7 Oct 2026 · codecentric.github.io

Attack types

Documented assaults include latency, exceptions, application termination, memory, and CPU load.Read 7 Oct 2026 · codecentric.github.io

Compatibility limit

Each Chaos Monkey release is built for a specific Spring Boot version, and using the external JAR with a different version may break the application.Read 8 Oct 2026 · codecentric.github.io

Configuration

Configuration can be changed at runtime through Spring Boot Actuator HTTP or JMX endpoints; Actuator must be included in the project dependencies for this feature.Read 8 Oct 2026 · codecentric.github.io

Feature flags

The project supports feature toggles and includes minimal configuration for using Unleash to control them.Read 8 Oct 2026 · codecentric.github.io

Integration

Add it as a project dependency or load it as an external dependency when starting a Spring Boot app.Read 8 Oct 2026 · codecentric.github.io

Monitoring integrations

Through Spring Boot’s Micrometer-backed metrics facade, the guide lists monitoring systems including Datadog, Prometheus, New Relic, Graphite, and Influx.Read 8 Oct 2026 · codecentric.github.io

Open source

The project is open source and welcomes contributions.Read 8 Oct 2026 · github.com

Operational guidance

The project recommends checking service resilience and monitoring, defining steady states, and starting experiments on a noncritical service outside production.Read 8 Oct 2026 · codecentric.github.io

Request attacks

Request assaults can add latency or throw configured runtime exceptions when watched methods are called.Read 8 Oct 2026 · codecentric.github.io

Runtime attacks

Runtime assaults can target the application’s CPU, memory, or availability through the AppKiller assault.Read 8 Oct 2026 · codecentric.github.io

Runtime controls

Spring Boot Actuator HTTP and JMX endpoints can expose controls for changing configuration at runtime.Read 7 Oct 2026 · codecentric.github.io

Security and compliance

The repository identifies its license as Apache-2.0; the project pages opened do not state a product security certification or compliance claim.Read 8 Oct 2026 · github.com

Security guidance

The project advises checking resilience and monitoring, defining steady states, starting with a noncritical service, and gaining experience outside production before running experiments in production.Read 7 Oct 2026 · codecentric.github.io

Targets

Watchers can target annotated classes, Actuator components, and outgoing requests.Read 7 Oct 2026 · codecentric.github.io

Watchers

Watchers can target annotated Spring beans, Spring Boot health indicators, RestTemplate and WebClient beans, or configured beans by name or class.Read 8 Oct 2026 · codecentric.github.io

Where Specifiction places it

• Chaos Engineering Platforms#16 of 257.4