Docker是一種新一代輕量級虛擬化技術，它允許我們將應用程式及其依賴項(Dependencies)封裝成映像檔(Image)，然後輕鬆地將應用程式執行在隔離的容器中。與虛擬機相比，Docker改變了我們將應用程式部署到伺服器的方式，它可以控制應用程式使用的資源並提供更簡單的部署管道，為軟體帶來構建更安全(Build Safer)、共享更廣(Share Wider)與運行更快(Run Faster)的效益。先前研究有一套基於容器技術之製造服務自動化建造方案(稱為MSACSC)，可以讓使用者透過操作網頁操作介面便可快速地建置與部署容器化製造服務。然而，在每一次需要更新製造服務時，即便只做了小小的變更，使用者便須人工操作MSACSC中的步驟來重新部署容器化製造服務，這對於維護容器化製造服務並不是有效率的方式。因此，本論文採用Docker、Drone.io與Helm等技術為MSACSC建置一個持續整合與部署(Continuous Integration and Continuous Deployment，CI/CD)方案(稱為CI/CDC)，以讓使用者可自動化地與有效率地建置與部署容器化製造服務。本論文所研發CI/CDC包括(1)自動地為更新後的製造服務建置映像檔、(2)自動地將建置完成的映像檔上傳至雲端映像檔倉庫中、(3)自動地將製造服務映像檔部署到指定的Kubernetes叢集等3個核心機制。整合測試結果顯示，當需要更新製造服務時，使用者只需要上傳更新的製造服務，CI/CDC便能夠自動化地完成從映像檔建置到將容器化製造服務部署到Kubernetes叢集執行的整體流程，達到高效率維護容器化製造服務之效益。

Docker is a new generation of lightweight virtualization technology that allows us to package applications and their dependencies into images and then quickly execute applications in isolated containers. Compared with virtual machines, Docker changes how we deploy applications to servers. It can control the resources used by applications and provide a simpler deployment pipeline, bringing the benefits of building safer, sharing wider, and running faster. A previous study has proposed a container-based manufacturing service automated construction solution (called MSACSC), allowing users to quickly build and deploy containerized manufacturing services by operating Web GUIs. However, every time the manufacturing service needs to be updated, even only making a small change, the user has to manually operate the steps in MSACSC to redeploy the containerized manufacturing service, which is not efficient for maintaining the containerized manufacturing service. Therefore, this paper adopts technologies such as Docker, Drone.io, and Helm to build a Containerized Continuous Integration and Continuous Deployment (called CI/CD) solution for MSACSC so that the users can build and deploy containerized manufacturing services automatically and efficiently. The CI/CDC developed in this thesis includes three core mechanisms: (1) automatically building an image for the updated manufacturing service, (2) automatically uploading the built image to the cloud image file repository, (3) automatically deploying manufacturing service images to specified Kubernetes clusters. The integrated test results show that when the manufacturing service needs to be updated, the user only needs to upload the updated manufacturing service, and CI/CDC can automatically complete the overall process from the image construction to the deployment of the containerized manufacturing service to the Kubernetes cluster for execution, achieving the benefits of efficient maintenance of containerized manufacturing services.

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