By automating the above-mentioned repetitive steps, service quality can be improved, developers can be proactively notified to reduce the manpower burden, and the project service can continue to operate. Among them, GitLab is one of the commonly used tools for executing CI/CD, and it is also where developers use code repositories.
In order to allow GitLab Runner to quickly practice CI/CD in the cloud, "AWS Developer Series" shares, through a video, how to use GitLab to create automated deployments on Amazon EKS (Elastic Kubernetes Services). The following excerpts banner design from the workshop video and audio content help developers quickly understand how to use Amazon EKS' highly available and secure clusters to automate key tasks such as patching, deploying nodes, and updating. At the same time, the video will demonstrate how Amazon EKS and GitLab can automatically deploy to help engineering teams practice the value of CI/CD. Amazon EKS makes container management easy and saves time and effort for maintenance Containerized services are becoming more and more prosperous.
When there are more and more containers, in the complex microservice system environment, the management cost of the operation and maintenance team may increase a lot. In order to effectively schedule container deployment, Importing Kubernetes is undoubtedly one of the hot topics of enterprises in recent years. The construction of the Kubernetes Cluster flow can be mainly divided into two parts, one is the Control Plane that arranges the container scheduling, and the other is the Worker Node that the container needs to use when running. Control Plane includes ETCD with stored status, CoController manager, Scheduler management, and even APIServer that interacts during operation. If you create a Kubernetes Cluster yourself, you need to install these components yourself, and you still need to manage and manage Control Plane in the future.