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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-designs/
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课程名称：掌握钢筋混凝土结构设计 概述：谷歌Kubernetes引擎（GKE）是一个用于部署、管理和扩展容器化应用程序的托管环境，利用谷歌云基础设施。GKE基于Kubernetes，一个最初由谷歌开发的开源容器编排平台，提供了一个强大的解决方案，帮助开发者自动化应用程序在虚拟机集群中的部署、扩展和管理。GKE简化了Kubernetes的管理，同时利用谷歌广泛的云服务，提高可靠性、安全性和可扩展性。 GKE非常适合基于微服务的应用，每个服务都可以独立部署和管理。Kubernetes负责服务之间的通信、扩展和故障转移，简化了整体架构。GKE还可以轻松与持续集成/持续部署（CI/CD）工具集成，使团队能够自动化应用程序的交付过程。通过在GKE中运行容器化应用，开发者可以持续构建、测试和部署应用，而无需担心基础设施管理。 谷歌Kubernetes引擎在简化Kubernetes管理的同时，提供了现代云原生应用所需的可扩展性、安全性和可靠性。无论是部署微服务、设置CI/CD管道，还是处理大规模数据处理任务，GKE都提供了灵活性、强大功能和易用性，以支持各种工作负载，使其成为希望利用Kubernetes力量而不面临操作复杂性的企业的必备工具。
Google Kubernetes Engine (GKE) is a managed environment for deploying, managing, and scaling containerized applications using Google Cloud infrastructure. Built on Kubernetes, an open-source container orchestration platform initially developed by Google, GKE provides a powerful solution for developers to automate the deployment, scaling, and management of containerized applications across a cluster of virtual machines (VMs). GKE simplifies Kubernetes management while leveraging Google's extensive cloud services for enhanced reliability, security, and scalability.GKE is well-suited for applications based on microservices, where each service can be deployed and managed independently. Kubernetes manages the inter-service communication, scaling, and failover, simplifying the overall architecture. GKE can be easily integrated with Continuous Integration/Continuous Deployment (CI/CD) tools, enabling teams to automate the application delivery process. By running containerized applications in GKE, developers can continuously build, test, and deploy applications without worrying about infrastructure management.Google Kubernetes Engine simplifies Kubernetes management while providing the scalability, security, and reliability needed for modern cloud-native applications. Whether deploying microservices, setting up CI/CD pipelines, or handling large-scale data processing tasks, GKE offers the flexibility, power, and ease of use to support various workloads, making it an essential tool for enterprises looking to leverage the power of Kubernetes without the operational complexities.
