Serverless Chaos Engineering: A Framework For Fault Injection And Resiliency Testing In Ai-Powered Cloud Workflows

Abstract

A chaos testing framework for managing serverless processes deployed in AI powered public clouds is presented. It is very important to ensure the resilience, fault tolerance of cloud-based systems due to their increasing in complexity and a telecommunications factor of serverless functions that improve their ability to respond to rapidly changing business requirements. The framework is proposed to provide for the experimenting failures in an open-ended system and identify the cause of it by using AI techniques and chaos engineering principals. Organizations are enabled to be proactive in detecting and mitigating potential problems by virtualizing varied disruptions such as overcrowding, network delay, and service outages in a modeling manner. It is in this aspect that people could trust cloud-based systems more as they become efficient and robust.