Boosting Microservice Resilience: An Evaluation of Istio’s Impact on Kubernetes Clusters Under Chaos

Singh, Shubham, Muntean, Cristina Hava and Gupta, Shaguna (2024) Boosting Microservice Resilience: An Evaluation of Istio’s Impact on Kubernetes Clusters Under Chaos. In: 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC). IEEE, Malmö, Sweden, pp. 245-252. ISBN 979-8-3503-6648-8

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Abstract

Microservices based architecture is increasingly popular for deploying cloud-native applications using small, decoupled modules. While this approach provides flexibility, it also increases the complexity to manage and maintain the application. Microservices are deployed on Kubernetes, which enables efficient resource management and scalability. However, resilience depends on individual services and pods. Chaos engineering tests resilience by injecting failures. Istio service mesh can improve stability and fault tolerance when deployed as part of the microservice. This paper explores the use of chaotic tests to evaluate Istio’s service’s impact on microservices resilience in Kubernetes, and optimal tuning. The performance is evaluated under increased load, measuring and analysing metrics such as response time, errors, resource usage, and requests per second. Results show the Istio service mesh offers better stability, faster responses, and failure resilience compared to traditional architectures.

Item Type:	Book Section
Uncontrolled Keywords:	Multi-access edge computing; Scalability; Microservice architectures; Computer architecture; Stability analysis; Time measurement; Time factors; Resource management; Tuning; Resilience; GKE; Kubernetes; Chaos Engineering; Resilience; Istio Service Mesh
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Electronic computers. Computer science > Computer Systems T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Tamara Malone
Date Deposited:	20 Dec 2024 16:22
Last Modified:	20 Dec 2024 16:22
URI:	https://norma.ncirl.ie/id/eprint/7235

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