A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems

TL;DR

This paper proposes a data-driven AIOps approach to improve the reliability of cloud microservices by addressing internal and external challenges through ticket management, log analysis, multimodal analysis, and resilience testing.

Contribution

It introduces a comprehensive data-driven framework for enhancing cloud microservice reliability, integrating multiple analysis techniques and resilience testing.

Findings

Significant improvement in system reliability with the proposed approach

Effective handling of internal and external reliability challenges

Enhanced microservice resilience through multimodal analysis

Abstract

The increasing complexity and usage of cloud systems have made it challenging for service providers to ensure reliability. This paper highlights two main challenges, namely internal and external factors, that affect the reliability of cloud microservices. Afterward, we discuss the data-driven approach that can resolve these challenges from four key aspects: ticket management, log management, multimodal analysis, and the microservice resilience testing approach. The experiments conducted show that the proposed data-driven AIOps solution significantly enhances system reliability from multiple angles.