# AWS Fault Injection Service Cloud service ยท AWS. Updated 2026-10-29. Page: https://blowstack.com/tools/cloud-services-hub/aws-fault-injection-simulator-(aws-fis) > AWS Fault Injection Service (AWS FIS) is a managed service designed to help developers intentionally introduce faults into their applications on Amazon Web Services to test resilience and fault-tolerance. Practice exams covering AWS Fault Injection Service: [DOP-C02 AWS Certified DevOps Engineer - Professional](https://blowstack.com/practice-exams/aws-certified-devops-engineer-professional), [SCS-C03 AWS Certified Security - Specialty](https://blowstack.com/practice-exams/aws-certified-security-specialty), [SAP-C02 AWS Certified Solutions Architect - Professional](https://blowstack.com/practice-exams/aws-certified-solutions-architect-professional). ## 5 key features of AWS Fault Injection Service AWS Fault Injection Simulator (AWS FIS) offers pre-built templates, seamless integration with AWS services, controlled chaos experiments, automated recovery and rollback, and advanced observability, streamlining the process of conducting chaos engineering experiments in a secure and controlled manner. 1. **Pre-Built Templates for Common Failure Scenarios**: AWS FIS offers a set of pre-built templates for common failure scenarios such as server outages, database failures, and network disruptions, allowing for easy and quick setup of chaos experiments. 2. **Integration with AWS Services**: Seamlessly integrated with various AWS services, AWS FIS enables you to inject faults into EC2 instances, EKS clusters, RDS databases, and more, ensuring a broad coverage for testing your application's resilience. 3. **Controlled Chaos Experiments**: AWS FIS provides fine-grained controls to manage the scale and impact of your fault injection experiments, ensuring they are conducted in a safe, secure, and controlled environment. 4. **Action-Dependent Recovery**: Stopping an experiment does not necessarily restore resources to their original state. Recovery depends on the action: reversible faults can be removed, but terminated EC2 instances are not recreated automatically. 5. **Observability and Monitoring**: Integrates with AWS CloudWatch for real-time monitoring and observability, allowing you to track the impact of fault injection experiments on your applications and systems. ## Where AWS Fault Injection Service is used AWS Fault Injection Simulator (AWS FIS) use cases include testing system resilience to EC2 instance failures, evaluating database failover processes, stress testing applications, enhancing disaster recovery planning, and simulating latency and timeouts. 1. **Testing System Resilience to EC2 Instance Failures**: AWS FIS can simulate the failure of Amazon EC2 instances within an application's environment. This allows teams to assess and improve the application's resilience and failover strategies, ensuring minimal disruption or downtime for end-users during unplanned outages. 2. **Evaluating Database Failover Processes**: By intentionally injecting faults such as a database outage or slowdown, teams can use AWS FIS to verify the effectiveness of their database failover mechanisms and replication strategies. This ensures data integrity and availability even in the face of unforeseen database issues. 3. **Stress Testing Applications**: AWS FIS facilitates load and stress testing by generating high levels of traffic or resource consumption. This helps identify bottlenecks and performance limitations within an application, providing insights into scalability and resource management needs. 4. **Disaster Recovery Planning**: Organizations can use AWS FIS to simulate various disaster scenarios, allowing them to evaluate and refine their disaster recovery (DR) plans. This proactive approach helps minimize downtime and data loss during actual disasters by ensuring all recovery procedures work as intended. 5. **Latency and Timeout Simulation**: AWS FIS can introduce network latency or API timeouts, enabling teams to verify how well their applications handle increased response times or temporary service unavailability. This is crucial for maintaining a seamless user experience under varied network conditions. ## How AWS Fault Injection Service is priced AWS Fault Injection Simulator uses a per-action pricing model, charging for each action executed in experiments, and offers a Free Tier including a number of free actions monthly. - **Per-Action-Minute Pricing**: AWS Fault Injection Service charges based on the duration of actions you execute within your experiments. Charges are based on action-minutes rather than solely on the number of actions executed, so experiment duration affects cost. ## What is AWS Fault Injection Service Introduced by Amazon Web Services, the AWS Fault Injection Simulator (AWS FIS) is a fully managed service designed to help businesses improve their application resilience. This proactive approach enables organizations to identify and rectify weaknesses, thereby enhancing system robustness and ensuring business continuity. AWS FIS provides a controlled environment for carrying out fault injection experiments that mimic various operational issues such as server failures, network latencies, and permission changes. By enabling the simulation of these scenarios, it aids in validating application responses and the effectiveness of monitoring and alerting systems. This, in turn, facilitates the refinement of automation to handle such events, improving the overall resilience and reliability of the cloud infrastructure. One of the key features of AWS FIS is its integration with AWS services and resources, ensuring a seamless and scalable way to conduct experiments across a wide variety of environments. This integration allows for the application of fault injection patterns to a broad set of AWS services such as Amazon EC2 instances, Amazon EKS clusters, and AWS Lambda functions, among others. Consequently, users can tailor their experiments to match their application's architecture closely, ensuring relevant and meaningful testing scenarios. AWS FIS employs a template-based approach to define and manage experiments, providing users with flexibility and control over the fault injection process. These templates specify the actions to be taken (e.g., injecting a specific fault), the targets for these actions, and any necessary safeguards or stop conditions to prevent unintended impact. This structured approach enhances the safety and efficacy of experiments, allowing teams to conduct rigorous testing with confidence. Moreover, AWS FIS focuses on ensuring that these fault injection experiments do not compromise security or compliance. It incorporates built-in safeguards that automatically halt experiments if predefined conditions are met, minimizing the risk of unintended consequences. Additionally, the service operates under the strict security standards of AWS, ensuring that all activities are conducted within a secure and compliant framework. In summary, AWS Fault Injection Service represents a sophisticated tool in the realm of cloud computing, offering organizations a powerful means to bolster application and infrastructure resilience. By leveraging AWS FIS to conduct deliberate and controlled fault injection experiments, businesses can uncover hidden vulnerabilities, enhance their response strategies, and build more robust systems capable of withstanding real-world challenges.