This invention discloses an API-driven intelligent scheduling and dynamic
adaptation method for service containers, applicable to Kubernetes clusters and / or Docker Swarm clusters. The method receives service container operation requests through an API gateway, authenticates and authorizes them via a security control module, and generates target instructions after a parameter
validator verifies image information, resource quotas, and runtime parameters. The container management module then creates, starts, stops, deletes, and monitors the status of containers. The
resource scheduling module selects target nodes and controls scaling based on business priorities and node resource usage. The
log management module centrally collects, stores, and analyzes requests, runtime status, and scheduling results, providing a basis for blue-green deployment, rolling upgrades, and anomaly
rollback of service versions. This method achieves full lifecycle management and cross-environment dynamic
adaptation of containers based on a unified API, reducing the operational threshold and improving
resource utilization and service stability.