Authors

Multi-user architecture at DraftKings: isolation of traffic, rates and risks by region

Author: Humeniuk Andrii and Terletska Khrystyna

Bibliographic description of the article for the citation:

Humeniuk Andrii and Terletska Khrystyna. Multi-user architecture at DraftKings: isolation of traffic, rates and risks by region//Science online: International Scientific e-zine - 2022. - №3. - https://nauka-online.com/en/publications/information-technology/2022/3/01-47/

Annotation: The article discusses the theoretical foundations of multi-user architecture and its practical implementation, using the DraftKings platform as an example. It analyzes three basic tenant isolation models and key patterns for organizing data storage in multi-user systems. It pays special attention to the problem of traffic isolation and financial transactions in conditions of high workload and regulatory restrictions. The article shows how the DraftKings architecture combines scalability, resilience, and compliance through the use of microservice approach, AWS infrastructure, proprietary testing, and risk management solutions. It highlights organizational and technical measures to reduce financial, regulatory, and reputational risks. Promising directions for the development of multi-user architectures are also noted.

Keywords: Aurora AWS CloudFront compliance DraftKings financial transactions Global Accelerator high-load systems multi-cloud multi-user architecture risk management Route 53 tenant isolation training Zero-Trust

Categories: Information technology

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Self-Healing System Design: Architectural Patterns for Autonomous Recovery in Cloud-Native Applications

Author: Roilian Mykyta, Mozolevskyi Dmytro and Terletska Khrystyna

Bibliographic description of the article for the citation:

Roilian Mykyta, Mozolevskyi Dmytro and Terletska Khrystyna. Self-Healing System Design: Architectural Patterns for Autonomous Recovery in Cloud-Native Applications//Science online: International Scientific e-zine - 2023. - №9. - https://nauka-online.com/en/publications/information-technology/2023/9/05-27/

Annotation: This article analyzes architectural patterns that enable autonomous recovery in cloud-native systems, which are essential for maintaining high availability and performance. Three primary patterns are examined: Redundancy & Replication, Proactive Recovery, and Auto-Scaling. The study evaluates their effectiveness using real-world data, providing a comparative assessment based on metrics like cost reduction and performance improvement. The analysis underscores the necessity of these patterns for managing the operational complexity of modern distributed systems. Recommendations are provided for implementing these strategies to enhance the reliability and cost-efficiency of cloud applications.

Keywords: auto-scaling cloud-native fault tolerance microservices proactive recovery replication self-healing systems system reliability

Categories: Information technology

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