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所在平台: Udemy |
课程主页: https://www.udemy.com/course/datadog-for-monitoring-and-alerting-beginner-level/
课程评论：没有评论
课程名称：DataDog监控Docker和Kubernetes [初学者] 课程概述：您会在没有速度表和安全带的情况下开车吗？当然不会。同样，您无法在没有监控工具的情况下创建和管理软件应用程序和基础设施。DataDog是市场上最受欢迎的监控工具，能够为您提供对技术堆栈的全面可视化。DataDog拥有众多功能，最重要的是它与Kubernetes的良好集成，使您能够获取有关单个pod、部署、日志和事件的信息。本课程将指导您了解为何需要监控，以及如何在Docker和Kubernetes上设置DataDog。本课程主要基于讲师作为DevOps工程师的经验，他多年来使用DataDog监控Kubernetes集群，将分享许多行业技巧。 在本课程中，我们将涵盖以下内容： - 监控的重要性 - DataDog架构 - DataDog用户界面 - 在您的机器、Docker容器和Kubernetes集群上部署DataDog代理 - 在真实场景中设置DataDog - 在您的机器上设置Docker和Minikube - DataDog与Kubernetes之间的集成 - DataDog报告的不同类型指标 - 可观察性的三大支柱 - 使用DataDog对指标进行标签 - 通过Slack和电子邮件进行警报 - 从Kubernetes和Docker配置日志和事件到DataDog 课程内容条理清晰，易于查找所需信息。作业和测验将帮助您保持学习进度并检验知识。课程将结合理论与实际案例。
Would you drive a car without a speedometer and a seatbelt? No. Similarly you cannot go about creating and managing software applications and infrastructure without a monitoring tool. DataDog is the top choice for monitoring tools out there, and it gives you complete visibility into your tech stack. DataDog has plenty of features. Most importantly it integrates well with Kubernetes giving you information about individual pods, deployments along with their logs and events.This course will guide you through why we need monitoring and how to setup DataDog on docker and kubernetes for this purpose. Much of this course is from the instructor's experience as a DevOps engineer. Having used DataDog to monitor Kubernetes clusters for many years, it will include many tips and tricks of the trade:).In this course we will cover:Why do we care about monitoringThe DataDog ArchitectureThe DataDog UIDeploy DataDog agents on your machines, docker containers and Kubernetes clustersHow to setup DataDog in real life situationsSetup Docker and Minikube on your machineThe Integration between DataDog and KubernetesThe Difference types of metrics reported by DataDogThree pillars of observabilityUse DataDog for tagging metricsAlerting via Slack and EmailConfiguring Logs and Events from Kubernetes and Docker in DataDogEverything is well documented and separated, so you can find what you need. Assignments and Quizzes will make sure you stay on track and test your knowledge. The course will have a combination of theory and practical examples.
