Troubleshooting Kubernetes

Troubleshooting Kubernetes

本课程提供了有关如何调试Kubernetes集群基础结构问题的导览,并提供了有关集群运行方式的有效概念模型。您将解决开发人员在集群管理,监视和日志记录中面临的常见问题。随后,我们研究了在Kubernetes上创建和部署应用程序时的常见问题。

到课程结束时,您将完全控制Kubernetes基础架构,并将能够轻松地对其进行管理。

Video: .MP4, 1920×1080 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 2h 55m
Genre: eLearning | Language: English | Size: 623 MB

Practical solutions to common issues faced while deploying, managing, and operating your Kubernetes clusters


Key Features
Explore the various resources provided by Kubernetes and how to use them
Showcases battle-tested strategies to manage, scale, and monitor your clusters with high amounts of traffic
Learn how to manage a production Kubernetes cluster

What You Will Learn
Plan, operate and manage a Kubernetes cluster in production
Troubleshoot cluster issues
Select the correct resources in Kubernetes to serve your infrastructure goals
Manage application deployments on Kubernetes clusters
Configure cluster-wide logging
Monitor and set up alerts for cluster health and determine if any action is required
Best practices for working with Kubernetes

About
Containers are changing the way applications are developed, deployed, and managed. Consequently, container orchestration has become a critical piece of infrastructure for enterprises on their digital transformation journey. Kubernetes is an open-source container orchestration platform for automating the deployment, scaling, and management of containerized applications. It has become the de-facto standard for container orchestration.

This course provides a tour of how to debug issues with the Kubernetes cluster infrastructure and presents a working conceptual model of how clusters operate. You will be addressing common problems faced by developers in cluster management, monitoring, and logging. Subsequently, we examine common issues when creating and deploying apps on Kubernetes.

By the end of the course, you’ll have gained full control of your Kubernetes infrastructure and will be able to manage it with ease.

Please note a working knowledge of Kubernetes is required for this course.

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