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.
This article supplements the first session, Getting Started with Containers, in a six-part webinar series on Deploying & Managing Containerized Workloads in the Cloud. By the end of this tutorial, you will have installed Docker on a DigitalOcean Droplet, managed containers, worked with images, added persistence, and set up a private registry.
In this tutorial, you will use a sample web application based on Node.js and MongoDB to build a Docker image from a Dockerfile, you will create a custom network that allows your Docker containers to communicate, and you will use Docker Compose to launch and scale a containerized application.
In this tutorial, you’ll set up and configure Kubernetes on DigitalOcean through StackPoint and deploy a containerized application to your cluster.
In this tutorial, you will learn how Kubernetes primitives work together as you deploy a Pod in Kubernetes, expose it a Service, and scale it through a Replication Controller.
In this tutorial, you will apply the concepts from the previous tutorials to build, deploy, and manage an end-to-end microservices application in Kubernetes. The sample web application you’ll use in this tutorial is a “todo list” application written in Node.js that uses MongoDB as a database. You’ll build a container image for this app from a Dockerfile, and push the image to Docker Hub, and then deploy it to your cluster. Then you’ll scale the app to meet increased demand.
In the final installment of this tutorial series, you will deploy a highly available MongoDB ReplicaSet in Kubernetes as a StatefulSet using Helm, a popular open source package manager for Kubernetes.
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