AWS Fault Injection Simulator
Categories: AWS
AWS Fault Injection Simulator
AWS Fault Injection Simulator is a fully managed service for running fault injection experiments on AWS that makes it easier to improve an application’s performance, observability, and resiliency. Fault injection experiments are used in chaos engineering, which is the practice of stressing an application in testing or production environments by creating disruptive events, such as sudden increase in CPU or memory consumption, observing how the system responds, and implementing improvements. Fault injection experiment helps teams create the real-world conditions needed to uncover the hidden bugs, monitoring blind spots, and performance bottlenecks that are difficult to find in distributed systems.
AWS Fault Injection Simulator simplifies the process of setting up and running controlled fault injection experiments across a range of AWS services so teams can build confidence in their application behavior. With Fault Injection Simulator, teams can quickly set up experiments using pre-built templates that generate the desired disruptions. AWS Fault Injection Simulator provides the controls and guardrails that teams need to run experiments in production, such as automatically rolling back or stopping the experiment if specific conditions are met. With a few clicks in the console, teams can run complexscenarios with common distributed system failures happening in parallel or building sequentially over time, enabling them to create the real-world conditions necessary to find hidden weaknesses.
AWS X-Ray
AWS X-Ray helps developers analyze and debug distributed applications in production or under development, such as those built using a microservices architecture. X-Ray, you can understand how your application and its underlying services are performing so you can identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use XRay to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.