Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering

Zayed, Ahmad; Al-Said Ahmad, Amro

Abstract

This study explores the use of chaos engineering in evaluating the performance and resilience of serverless applications, which are built as complex distributed systems subject to different types of failures and errors. By intentionally injecting controlled failures and uncertainty into the system, we evaluate the impact of random delay injections on Lambda functions using two methods: one during code execution and the other during runtime. Our research aims to evaluate the performance and resilience of Lambda functions under controlled chaos experiments and study the impact of faults on serverless applications' behaviour by comparing the results with the baseline data regarding performance metrics.

Citation

Zayed, A., & Al-Said Ahmad, A. (2024, July). Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering. Presented at 24th International Conference on Software Quality, Reliability, and Security (QRS), Cambridge, United Kingdom

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 24th International Conference on Software Quality, Reliability, and Security (QRS)
• Start Date: Jul 1, 2024
• End Date: Jul 1, 2024
• Acceptance Date: Jun 1, 2024
• Publication Date: Oct 29, 2024
• Deposit Date: Jun 22, 2024
• Publicly Available Date: Jun 25, 2024
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Pages: 1316-1317
• ISBN: 979-8-3503-6566-5
• DOI: https://doi.org/10.1109/qrs-c63300.2024.00172
• Keywords: Resilience; Performance; Delay injection; Serverless Functions; Chaos Engineering
• Public URL: https://keele-repository.worktribe.com/output/856769
• Publisher URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10726986