Citation:

Ritesh Tandon, Dhruv Patel, 2021. "Evolution of Microservices Patterns for Designing Hyper-Scalable Cloud-Native Architectures ", ESP Journal of Engineering & Technology Advancements 1(1): 288-297.

Abstract:

Output-based microservices architecture has become a fundamental change in modern software development systems because it solves scalability and flexibility and resilience issues that occur in monolithic structures and traditional service-oriented frameworks. A detailed review of microservices basics explores its main conceptual elements which surpass conventional software design mechanisms and their underlying features. The research includes an assessment that demonstrates microservices accelerate product delivery through separate deployments and their ability to better handle errors. The paper examines the development timeline of microservices design patterns by focusing on essential advancements such as API gateways and event-driven communication along with the Saga pattern for distributed transactions and modern service mesh observability and control systems and serverless computing and AI-driven autoscaling for intelligent workload management. The design process pays focused attention to harnessing hyper-scalability features in cloud-native deployments with an emphasis on architectural methods such as distributed processing as well as horizontal scaling and vertical scaling and stateless service delivery and load balancing alternatives and caching solutions. The document explores deployment along with infrastructure aspects that concentrate on containerization platforms as well as Kubernetes orchestration and robust CI/CD pipelines for continuous delivery.

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Keywords:

Microservices, Cloud-Native Architectures, Hyper-Scalability, Serverless Computing, Deployment Strategies.