Chaos Engineering for Building Resilient Distributed Systems
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Analysis Study Research Paper | Computer Science & Engineering | India | Volume 9 Issue 3, March 2020 | Popularity: 5.3 / 10


     

Chaos Engineering for Building Resilient Distributed Systems

Venkata Naga Sai Kiran Challa


Abstract: Chaos Engineering is an advanced methodology used to ensure the reliability and fault tolerance of distributed systems. By deliberately introducing faults, it tests how systems behave under real-world conditions, thereby identifying vulnerabilities that traditional testing may miss. This proactive approach helps organizations like Netflix, Amazon, Google, and Microsoft to maintain high availability of their services. Integrating Machine Learning ML into Chaos Engineering further enhances its effectiveness by predicting anomalies, automating experiments, and improving observability. This combined strategy promotes a culture of continuous learning and resilience, crucial for modern, complex systems.


Keywords: Chaos Engineering, fault tolerance, distributed systems, Machine Learning, resilience


Edition: Volume 9 Issue 3, March 2020


Pages: 1678 - 1689



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Venkata Naga Sai Kiran Challa, "Chaos Engineering for Building Resilient Distributed Systems", International Journal of Science and Research (IJSR), Volume 9 Issue 3, March 2020, pp. 1678-1689, https://www.ijsr.net/getabstract.php?paperid=SR24716231253, DOI: https://www.doi.org/10.21275/SR24716231253

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