With the development of big data and machine learning, the network traffic and data computation are growing fast. Researchers developed the content network delivery (CDN), edge computing, etc. for these challenges. Nevertheless, the CDN only addresses the data storage, and it is still challenging to manage and schedule resources among edge clusters in edge computing. Containerization has been widely employed in edge computing, but the current container orchestrators utilize the inefficient orchestration schemes, which leads to high computation latency. Thisstudy proposes the function delivery network (FDN). On the one hand, FDN provides the interface and containerization computation platform for users to access the edge computing resources. On the other hand, FDN optimizes the resource utilization and computation latency by orchestrating the containers to the appropriate edge clusters. Moreover, a heuristic container orchestrating algorithm is developed that enables the inter-cluster container orchestrating. The FDN system is implemented based on Openwhisk and the FDN system is deployed in China Mobile network, and the FDN system is evaluated. The results show that the proposed FDN system can decrease the task computation latency, and the heuristic container orchestration algorithm outperforms the traditional container orchestration schemes.