Downloads: 0 | Views: 3
Informative Article | Engineering Science | India | Volume 10 Issue 10, October 2021 | Rating: 2.7 / 10
Resiliency Engineering in Cloud-Native Environments: Fail-Safe Mechanisms for Modern Workloads
Abstract: In the cloud-native era, where distributed architectures and microservices dominate, building resilient and fail-safe systems is crucial to ensuring the reliability and availability of applications. As Cloud-Native Architecture, Resiliency Engineering, Fail-Safe Mechanisms, High Availability, Microservices, Disaster Recovery, Kubernetes, Service Mesh, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Serverless, Container as a Service (CaaS), Chaos Engineering, Data Resiliency, Network Resiliency, Multi-Cloud Strategies. This paper explores the key concepts, strategies, and best practices for achieving resiliency and fail-safe mechanisms across various cloud-native workloads, categorized by IaaS, PaaS, Serverless, SaaS, and CaaS. It discusses the architectural principles and tools that support these efforts, along with challenges and practical examples drawn from case studies and use cases across leading cloud providers - AWS, Azure, and GCP?spanning Infrastructure, Platform, Applications, Data, and Networking resources.
Keywords: Cloud-Native Architecture, Resiliency Engineering, Fail-Safe Mechanisms, High Availability, Microservices, Disaster Recovery, Kubernetes, Service Mesh, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Serverless, Container as a Service (CaaS), Chaos Engineering, Data Resiliency, Network Resiliency, Multi-Cloud Strategies
Edition: Volume 10 Issue 10, October 2021,
Pages: 1644 - 1652