YouTube video transcript
756 words · 4 min read · O3VUMC_WBI.EN-ORIG
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Container technology brings speed and flexibility to enterprise IT, but organizations need a way to automate container deployment and manage a container's life cycle. I'm Steve Bigalow, senior technology editor with Techtarget, and today we're going to talk about the Kubernetes container management platform, its main features and its limitations and its core components. Kubernetes was introduced in
2014 by a team of developers at Google. Later, Google donated Kubernetes to the cloudnative computing foundation as an open-source project. To understand Kubernetes, it's important to first understand containers. Similar to virtual machines, containers virtualize a computer's resources and then provision those resources into instances that can run software services and applications. But containers are smaller
than virtual machines and they're ephemeral, meaning they might only exist for short durations. This makes it impossible to create, start, organize, destroy, and monitor containers manually. So, Kubernetes and similar tools bring order to the chaos by providing a platform to schedule and run containers while automating related operational tasks. The core capabilities of Kubernetes are container provisioning
and management. Administrators can use the platform to create and monitor containers across clusters. Kubernetes can automatically restart failed containers, remove unresponsive ones, release an update, and continuously check container health. Kubernetes can also use DNS names or IP addresses to control how containers are made available. Its management capabilities include load balancing, which distributes hight traffic volumes across
multiple container instances. Kubernetes also handles storage, allowing admins to use varied storage types from local storage to cloud resources for container data. Other worthy features include rollouts and rollbacks. Kubernetes can set and modify the preferred state for container deployment. This allows admins to create new container instances in a desired state and then migrate existing
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