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This article supplements a webinar series on deploying and managing containerized workloads in the cloud. The series covers the essentials of containers, including managing container lifecycles, deploying multi-container applications, scaling workloads, and working with Kubernetes. It also highlights best practices for running stateful applications.
This tutorial includes the concepts and commands in the third session of the series, Getting Started with Kubernetes.
In the previous tutorial in this series, we explored managing multi-container applications with Docker Compose. While the Docker Command Line Interface (CLI) and Docker Compose can deploy and scale containers running on a single machine, Kubernetes is designed to handle multi-container applications deployed across multiple machines or hosts.
Kubernetes is an open-source container orchestration tool for managing containerized applications. A Kubernetes cluster has two key components: Master Nodes and Worker Nodes. A set of Master Nodes act as the control plane that manage the Worker Nodes and deployed applications. The Worker Nodes are the workhorses of a Kubernetes cluster that are responsible for running the containerized applications.
The Master Nodes expose an API through which the command-line tools and rich clients submit a job, which contains the definition of an application. Each application consists of one or more containers, the storage definitions and the internal and external ports through which they are exposed. The control plane running on Master Nodes schedules the containers in one of the Worker Nodes. When an application is scaled, the control plane launches additional containers on any of the available Worker Nodes.
For a detailed introduction to Kubernetes, refer to the tutorial An Introduction to Kubernetes.
StackPointCloud deploys a Kubernetes cluster in three steps using a web-based interface. It hides the complexity of installing and configuring Kubernetes through a simplified user experience. DigitalOcean is one of StackPoint’s supported cloud platforms. Developers who are not familiar with systems administration and configuration can use StackPoint to install Kubernetes on DigitalOcean quickly. For details on the supported features and pricing, refer to their site.
In this tutorial, you’ll set up and configure Kubernetes on DigitalOcean through StackPoint and deploy a containerized application to your cluster.
Thanks for learning with the DigitalOcean Community. Check out our offerings for compute, storage, networking, and managed databases.
This series covers the essentials of containers, including container lifecycle management, deploying multi-container applications, scaling workloads, and understanding Kubernetes, along with highlighting best practices for running stateful applications. These tutorials supplement the by the same name.
Browse Series: 6 tutorials
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Just tried it (3 nodes, 1gb each) and i get “Error configuring Kubernetes master: non-zero return code” and no more info. Cannot even report the issue since Stackpoint asks me 400 USD.
Is bad for a tutorial to use a 3rd party service where the only way to solve any issue is to pay. There should be an alternative tutorial where doesn’t use stackpoint or other 3rd party service.
Nice and great web series tutorial. For beginners, Regardless of how you get started learning Kubernetes now is the time to start. There are so many places to deploy Kubernetes now it doesn’t make sense to not kick the tires now before determining if it is a great fit for your use cases.
great series, really helpful.
Took me for a while to realize that the curl link was for mac(kubectl: cannot execute binary file).
So if using Linux use this:
curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl
It’s just weird that it’s not actually DigitalOcean related tutorial. It’s somehow 3rd party web site advertisement. People can’t follow up tutorial without registering to paid service, there isn’t even free trier.
Can we get this updated for the current state of things? With Kubernetes now integrated into DigitalOcean and stackpoint.io being sunsetted, the information in this article feels real stale.
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