# Feedback-based, Automated Failure Testing of Microservice-based Applications

## TL;DR

This paper introduces IntelliFT, an automated, feedback-based testing method designed to efficiently identify faults in microservice architectures, enhancing their robustness against hardware and software failures.

## Contribution

The paper presents a novel automated failure testing technique specifically tailored for microservice applications, improving fault detection speed and effectiveness.

## Key findings

- Effective in exposing faults in microservice fault-handling logic
- Demonstrated success on a medium-sized microservice benchmark
- Improves fault detection efficiency in distributed systems

## Abstract

Modern distributed applications are moving toward a microservice architecture, in which each service is developed and managed independently, and new features and updates are delivered continuously. A guiding principle of microservice architecture is that it must be built to anticipate and mitigate a variety of hardware and software failures. In order to test the fault handling capabilities of microservces, this paper presents IntelliFT, a feedback-based, automated failure testing technique for microservice based applications, which aims to expose the defects in the fault-handling logic quickly. The initial experimental result on a medium-size microservice benchmark system shows that the proposed approach is effective.