Scalable Design Patterns for Resilient Microservice Architectures in Cloud-Native Applications
Keywords:
Microservices, Cloud-native, Resilience, Scalability, Design Patterns, Architecture, Service Mesh, Fault Tolerance, Decomposition, KubernetesAbstract
Microservices have become the foundation for developing resilient, scalable, and independently deployable components in cloud-native applications. However, ensuring resilience and scalability in distributed environments introduces design complexity. This paper explores the most effective scalable design patterns that support resilience in microservice architectures, focusing on cloud-native deployments. It highlights the role of decomposition, service discovery, fault tolerance, and observability, supplemented by relevant diagrams and comparative tables. The goal is to help architects adopt reliable, scalable strategies in building future-proof distributed systems
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