A Container-Orchestrated Framework for Enterprise Asset Lifecycle Management with Automated Continuous Delivery on the Cloud

Abstract: Modern enterprises manage extensive portfolios of physical and digital assets whose value, condition, and compliance status evolve continuously from acquisition through retirement. Traditional management systems are frequently built as monolithic applications hosted on fixed infrastructure, which limits scalability, complicates release cycles, and impedes timely visibility into asset state across geographically distributed operations. This study proposes a container-orchestrated framework that administers the complete lifecycle of enterprise assets while embedding automated continuous integration and delivery within its operational fabric. The methodology decomposes the system into independently deployable microservices executed on a managed container-orchestration service, coordinated through an application load balancer and supported by relational persistence, object storage, and an in-memory cache. A managed delivery pipeline automatically builds, tests, packages, and deploys service revisions, thereby shortening release latency and reducing manual intervention. The business logic is implemented in Python, while a Node.js service layer handles asynchronous client interaction. An experimental evaluation conducted under progressively increasing concurrent load demonstrates that the proposed framework sustains an average response time of approximately 198 milliseconds at moderate load and a throughput near 940 requests per second, substantially exceeding a monolithic baseline whose latency deteriorates sharply beyond four hundred concurrent users. The framework attains a scaling efficiency of about 89 percent, reduces mean deployment time to roughly four minutes, and lowers fault-recovery time by an order of magnitude. The principal contributions comprise an integrated lifecycle-management architecture, a pipeline-driven deployment model, and an empirical scalability assessment validating container orchestration for enterprise asset administration.

Keywords: Asset lifecycle management, container orchestration, microservices, continuous delivery, DevOps automation, cloud computing, scalability, enterprise systems.