Microservices Architecture for API-Driven Automation in Cloud Lifecycle Management
The rapid evolution of cloud technologies has transformed the way enterprises manage their IT infrastructure and services. As organizations increasingly adopt cloud-based solutions, the need for efficient lifecycle management of cloud resources has become critical. Microservices architecture has emerged as a powerful solution to enhance automation within cloud lifecycle management. This approach enables the decomposition of complex, monolithic systems into smaller, independently deployable services, which can be orchestrated and managed seamlessly in the cloud environment. By leveraging microservices, organizations can build scalable, resilient, and agile systems that improve the flexibility of API-driven automation processes. In this paper, we explore the application of microservices architecture for API-driven automation in cloud lifecycle management. We examine how microservices provide a modular approach to the creation, deployment, and management of cloud resources by offering independent services that communicate via APIs. These services can be dynamically orchestrated to automate key aspects of cloud lifecycle management, including provisioning, scaling, monitoring, and decommissioning resources. The paper also discusses the integration of microservices with various cloud platforms and tools to enable continuous delivery, real-time monitoring, and improved governance. Through this exploration, we aim to highlight the advantages of using microservices in automating cloud lifecycle processes, emphasizing the potential for increased efficiency, cost savings, and reduced operational complexity. The findings underscore how microservices, when paired with API-driven automation, can drive significant improvements in cloud resource management, empowering organizations to better align their infrastructure with evolving business needs
Authors
- Shantanu Bindewari
- Vivek Natarajan (ORCID: https://orcid.org/0000-0001-6757-6176)
Publication Details
- Journal
- Journal of Quantum Science and Technology.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.63345/jqst.v2i1.161
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00