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What is it about?
The study explored strategies for enhancing reliability and recovery in software development and operations, using qualitative methods including interviews with industry experts. Key findings included the adaptability and scalability of microservices architecture, despite complexities in managing service dependencies. Serverless computing was found to reduce costs and aid scaling but necessitates detailed monitoring. Containerisation offers portability and isolation, posing administrative challenges due to orchestration complexity. Cloud computing and load balancing optimize resource allocation but require constant vigilance. Data replication and backup are essential for data loss prevention, though they demand efficient processes due to increasing data volumes. Automated testing and disaster recovery planning are crucial for quick recovery, despite setup challenges. The study emphasizes ongoing enhancement of existing methods to boost system resilience and adaptability amid evolving threats.
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Why is it important?
This research is significant because it explores the integration of fault tolerance and disaster recovery methods within DevOps processes, which are crucial for enhancing the reliability and resilience of software systems. As organizations increasingly rely on software for essential operations, understanding how to efficiently manage and recover from failures becomes imperative. The study contributes to the broader knowledge of software development and operational practices by identifying effective strategies such as microservices architecture, serverless computing, and container orchestration, which can lead to more scalable, adaptable, and cost-effective systems. Additionally, the research highlights the importance of continuous monitoring and adaptation to new threats, ensuring that systems remain robust in rapidly changing technological landscapes. Key Takeaways: 1. System Resilience: The study underscores the importance of fault tolerance and disaster recovery methods in DevOps processes to enhance system scalability and adaptability, reducing the risk of failures. 2. Technological Strategies: Effective strategies identified include microservices for flexibility, serverless computing for cost reduction, and container orchestration for portability, each with its own challenges related to complexity and monitoring requirements. 3. Continuous Improvement: The research emphasizes the need for ongoing refinement of current methods and technologies, highlighting the importance of regular monitoring, data replication, and automated testing to maintain and improve system resilience.
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This page is a summary of: Approaches to Fault Tolerance and Disaster Recovery in DevOps Processes, Premier Journal of Science, November 2025, Premier Science,
DOI: 10.70389/pjs.100165.
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