AWS Fault Injection Simulator
AWS Fault Injection Simulator
AWS Fault Injection Simulator (FIS) API actively injects faults into AWS resources for chaos engineering — terminate instances, add latency, simulate AZ failure.
Built-in 20+ fault actions (EC2 termination, network latency, CPU stress, API throttling, etc.)
Only injects faults within AWS service scope
CreateExperimentTemplate to define an experiment (target + action + stop condition). StartExperiment to execute.
Uptime · 30-day window
GitHub activity
About this API
FIS is AWS's official chaos engineering tool. Chaos engineering's principle: "proactively inject faults into production systems to see how apps respond, find weak points, fix them". Before FIS, teams ran such drills with custom scripts (kill -9 EC2 instances, modify security groups to block networks) — dangerous and ad hoc. FIS standardizes this: define "target X, action Y, safety condition Z" in an experiment template; AWS injects faults in a controlled way when running; auto-terminates when exceeding stop conditions (e.g. error rate > 5%). Rich action library — EC2 termination/stop, API error injection, network latency, CPU/memory stress, AZ unavailability simulation. For teams seriously running production AWS workloads, periodic chaos tests are effective for surfacing latent failures.
What you can build
- 1Game days (team periodically tests app resilience)
- 2Simulate failures in CI tests
- 3Validate disaster recovery mechanisms
- 4Validate auto-scaling triggers properly
Strengths & limitations
Strengths
- Built-in 20+ fault actions (EC2 termination, network latency, CPU stress, API throttling, etc.)
- Safety mechanisms (auto-stop conditions)
- CloudWatch integration for real-time monitoring
Limitations
- Only injects faults within AWS service scope
- Limited support for complex failure scenarios (e.g. partial network partitions)
Getting started
CreateExperimentTemplate to define an experiment (target + action + stop condition). StartExperiment to execute.
FAQ
How do I ensure FIS doesn't actually break production?+
Strict stop conditions (CloudWatch alarms) + blast radius control (touch only a small portion of instances at a time) + test in staging first.
Technical details
- Auth type
- unknown
- Pricing
- unknown
- Protocols
- REST
- SDKs
- python, javascript, go, java
- Response time
- 44 ms
- Last health check
- 6/26/2026, 6:22:16 AM
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