Perform resilience testing with Amazon Fault Injection Service - Amazon Kinesis Data Streams
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Perform resilience testing with Amazon Fault Injection Service

Amazon Fault Injection Service is a fully managed service that helps you perform fault injection experiments on your Amazon workloads. Amazon FIS integration with Amazon Kinesis Data Streams enables you to test your application resilience against common Amazon Kinesis Data Streams API errors in a controlled environment. This capability allows you to validate error handling, retry logic, and monitor systems before encountering failures. For more information, see What is Amazon Fault Injection Service?.

Actions

  • API internal error: This injects internal errors into requests made by the the target IAM role. The specific response depends on each service and API. The action aws:fis:inject-api-internal-error creates InternalFailure errors (HTTP 500).

  • API throttle error: This injects internal errors into requests made by the the target IAM role. The specific response depends on each service and API. The action aws:fis:inject-api-throttle-error creates ThrottlingException errors (HTTP 400).

  • API unavailable error: This injects internal errors into requests made by the the target IAM role. The specific response depends on each service and API. The action aws:fis:inject-api-unavailable-error creates ServiceUnavailable errors (HTTP 503).

  • API provisioned throughput exception: This injects internal errors into requests made by the the target IAM role. The specific response depends on each service and API. The action aws:kinesis:inject-api-provisioned-throughput-exception creates ProvisionedThroughputExceededException errors (HTTP 400).

  • API expired iterator exception: This injects internal errors into requests made by the the target IAM role. The specific response depends on each service and API. The action aws:kinesis:inject-api-expired-iterator-exception creates ExpiredIteratorException errors (HTTP 400).

For more information, see Amazon Kinesis Data Streams actions.

Considerations

  • You can use actions above with both provisioned, and on-demand offerings for Amazon Kinesis Data Streams.

  • Your streaming resumes once the experiment completes based on the duration selected. You can also stop a running experiment before it completes. Alternatively, you can define a stop condition to stop the experiment based on alarms that define the application health in a Amazon CloudWatch Application Insights.

  • You can test up to 280 streams.

For more information on regional support, see Amazon Fault Injection Service endpoints and quotas.