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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-apache-airflow/
课程评论：没有评论
课程名称：掌握Apache Airflow！在AWS上部署到Kubernetes 课程概述： Apache Airflow是一个开源平台，用于以编程方式创建、调度和监控工作流。在本课程中，我们将从Apache Airflow的一些基本概念入手，介绍主要组件，如Web服务器和调度器，以及内部组件，如DAG、插件、操作符、传感器、钩子、Xcom、变量和连接。在后续课程中，我将教授更高级的主题，如分支、指标、性能和日志监控，以及Airflow的REST API。此外，我将帮助您使用Docker和Docker Compose一键构建开发环境。学习到此还不止，最后我们将创建一个AWS中的Kubernetes集群，并在其中部署我们的应用程序！最后，我还将分享一些有用的高级技巧，以帮助您将简单的Airflow项目提升为生产级系统。
Apache Airflow is an open-source platform to programmatically author, schedule and monitor workflows. In this course we are going to start with covering some basic concepts related to Apache Airflow - from the main components - web server and scheduler, to the internal components like DAG, Plugin, Operator, Sensor, Hook, Xcom, Variable and Connection. Later in the course I will teach you some more advanced topics like branching, metrics, performance and log monitoring, and Airflow's REST API. Additionally I will help you to build your development environment with just one click using Docker and Docker Compose.Why stop here? After all this, we will create a Kubernetes cluster in Amazon and we will deploy our application there! Finally, I will share with you some useful advanced tips which will be helpful to enhance your simple Airflow project to a production ready system.
