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| Format: | Recurso digital |
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Zenodo
2025
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| Accès en ligne: | https://doi.org/10.5281/zenodo.18106513 |
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| _version_ | 1866901558341402624 |
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| author | Akash Verma |
| author_facet | Akash Verma |
| contents | As organizations increasingly migrate to cloud platforms, ensuring system reliability and availability becomes a key architectural concern. Amazon Web Services (AWS) offers a suite of services and features to help architects implement fault-tolerant systems, minimizing downtime and preserving data integrity. This paper explores key fault-tolerant design patterns in the context of AWS, such as multi-availability zone deployments, auto-scaling groups, queue-based decoupling, and stateless microservices. We categorize these patterns, map them to relevant AWS services, and analyze trade-offs related to cost, complexity, and performance. Real-world use cases are provided to illustrate the practical application of each pattern. This article provides a structured approach to designing resilient systems in AWS environments, serving both academic and industry audiences. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18106513 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Design Patterns for Fault Tolerance in AWS Cloud Architecture Akash Verma AWS As organizations increasingly migrate to cloud platforms, ensuring system reliability and availability becomes a key architectural concern. Amazon Web Services (AWS) offers a suite of services and features to help architects implement fault-tolerant systems, minimizing downtime and preserving data integrity. This paper explores key fault-tolerant design patterns in the context of AWS, such as multi-availability zone deployments, auto-scaling groups, queue-based decoupling, and stateless microservices. We categorize these patterns, map them to relevant AWS services, and analyze trade-offs related to cost, complexity, and performance. Real-world use cases are provided to illustrate the practical application of each pattern. This article provides a structured approach to designing resilient systems in AWS environments, serving both academic and industry audiences. |
| title | Design Patterns for Fault Tolerance in AWS Cloud Architecture |
| topic | AWS |
| url | https://doi.org/10.5281/zenodo.18106513 |