Fault Tolerance and Service Resilience in Microservice-Based Cloud Native Systems
Keywords:
Microservices, Cloud-Native, Fault Tolerance, Service Resilience, Distributed Systems, Self-Healing Architecture, Service Mesh, Chaos EngineeringAbstract
Cloud-native architectures, particularly those based on microservices, offer substantial scalability and flexibility benefits. However, these architectures also introduce unique challenges related to service failures and system resilience. This paper explores the principles and mechanisms of fault tolerance in microservice-based systems and examines architectural strategies that enhance service resilience. We also review seminal works previous that laid the foundation for current resilience patterns and propose guidelines for resilient microservices design
References
Coulouris, G., Dollimore, J., & Kindberg, T. (2005). Distributed Systems: Concepts and Design. Addison-Wesley.
Devalla, S. (2020). Performance benchmarking of Java garbage collectors in containerized microservices. Journal of Scientific and Engineering Research, 7(6), 326–334.
Birman, K. (1993). The process group approach to reliable distributed computing. Communications of the ACM, 36(12), 37–53.
Schneider, F. B. (1990). Implementing fault-tolerant services using the state machine approach. ACM Computing Surveys, 22(4), 299–319.
Fox, A., & Brewer, E. A. (1999). Harvest, yield and scalable tolerant systems. ACM HotOS.
Devalla, S. (2020). Beyond Redux: State management and developer productivity in enterprise SPAs. European Journal of Advances in Engineering and Technology, 7(4), 70–78.
Vogels, W. (2009). Eventually consistent. Communications of the ACM, 52(1), 40–44.
Dean, J., & Barroso, L. A. (2013). The tail at scale. Communications of the ACM, 56(2), 74–80.
Devalla, S. (2018). Performance benchmarking of RESTful and SOAP APIs in enterprise IoT control systems. Journal of Scientific and Engineering Research, 5(11), 376–390.
Armbrust, M., et al. (2009). Above the Clouds: A Berkeley View of Cloud Computing. UC Berkeley.
Devalla, S. (2019). Unveiling the enterprise value of PaaS: A comparative study of productivity, scalability, and cost efficiency against SaaS and IaaS. European Journal of Advances in Engineering and Technology, 6(2), 120–126.
Barham, P., et al. (2003). Xen and the Art of Virtualization. ACM SOSP.
Chandra, R., et al. (2007). PlanetLab: An Overlay Testbed for Broad-Coverage Services. SIGCOMM.
Devalla, S. (2019). Adaptive security frameworks for Java EE 8 and JSF: Automating threat detection and mitigation in enterprise web applications. Journal of Scientific and Engineering Research, 6(10), 326–334.
Dabrowski, C., & Mills, K. (2011). Understanding self-healing in service-oriented architecture. IEEE TDSC.
