Document Type

Article

Publication Title

SSRG International Journal of Recent Engineering Science

Abstract

The principles of "fail fast, fail small" have emerged as critical in modern software and system design. By planning for minor, manageable failures instead of catastrophic breakdowns, developers can ensure that systems degrade gracefully, maintaining functionality even when encountering issues. This article delves into strategies for designing resilient systems, beginning with the concept of slow degradation and distributed systems that prioritize core functions while allowing non-critical components to fail without significant user impact. The Netflix recommendation engine serves as a prime example of a system that continues to operate under failure conditions. Chaos engineering, a proactive methodology for stress-testing system robustness, is explored with real-world examples of its implementation. As AI continues to evolve, its role in identifying weaknesses and enhancing system resilience is becoming indispensable. The article highlights AI's potential to push the boundaries of chaos engineering and discusses the growing importance of hybrid cloud solutions, balancing cloud and on-premise resources for optimized resilience. Future trends emphasize the need for service scalability based on business-critical classifications, allowing systems to prioritize resources effectively. Designing systems to "fail fast, fail small" is not only about mitigating risk but also about building adaptive, future-proof architectures that anticipate the unknown.

DOI

https://doi.org/10.14445/23497157/IJRES-V11I5P106

Publication Date

10-2024

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