返回到 Introduction to Containers w/ Docker, Kubernetes & OpenShift

学生对 IBM 提供的 Introduction to Containers w/ Docker, Kubernetes & OpenShift 的评价和反馈

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课程概述

Take the next step in your software engineering career by getting skilled in container tools and technologies! The average salary for jobs that require container skills is $137,000 in the US according to salary.com, making Devops professionals and developers with these skills highly in demand. More than 70 percent of Fortune 100 companies are running containerized applications. But why? Using containerization, organizations can move applications quickly and seamlessly among desktop, on-premises, and cloud platforms. In this beginner course on containers, learn how to build cloud native applications using current containerization tools and technologies such as Docker, container registries, Kubernetes, Red Hat, OpenShift, and Istio. Also learn how to deploy and scale your applications in any public, private, or hybrid cloud. By taking this course you will familiarize yourself with: - Docker objects, Dockerfile commands, container image naming, Docker networking, storage, and plugins - Kubernetes command line interface (CLI), or “kubectl” to manipulate objects, manage workloads in a Kubernetes cluster, and apply basic kubectl commands - ReplicaSets, autoscaling, rolling updates, ConfigMaps, Secrets, and service bindings - The similarities and differences between OpenShift and Kubernetes Each week, you will apply what you learn in hands-on, browser-based labs. By the end of the course, you’ll be able to build a container image, then deploy and scale your container. The skills taught in this course are essential to anyone in the fields of software development, back-end & full-stack development, cloud architects, cloud system engineers, devops practitioners, site reliability engineers (SRE), cloud networking specialists and many other roles....

276 - Introduction to Containers w/ Docker, Kubernetes & OpenShift 的 284 个评论（共 284 个）

创建者 Ionas V

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Oct 8, 2024

Not recommended. It's just generic information you can read anywhere online with a poorly done AI voiceover. Exhausting to watch, good thing I knew these things already because I wouldn't learn them this way.

创建者 Chung, W

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Aug 20, 2023

It is always hard to understand the concepts via very vague slides. Not until later in the code labs can I start to understand few concepts, yet only a FEW.