Lesson 3 - Exercise 1: Docker for Application Packaging. In this exercise the Hello World application was extended further to include the collection of logs. Platform support Docker CE supports multiple platforms, as shown in the following table desktop platform Architecture Docker Desktop for Mac (macOS) X64.I'm streaming every chapter of my new book Learn Docker in a Month of Lunches on YouTube, and the first week's episodes are out now.Application Logging. Rancher is an open-source container management platform, it makes. Rancher management server can be deployed on any Linux server or cluster for high availability, however, before using it makes sure the Docker is installed on the same server. Rancher is a complete software stack for teams adopting containers and can multiple Kubernetes clusters.The container shares the OS kernel of the machine it's running on, which makes Docker super efficient and lightweight.The very first exercise gets you to run a simple app in a container to see what the virtual environment looks like (all you need to follow along is Docker): docker container run diamol/ch02-hello-diamolThat container just prints some information and exits. Episode 1: Understanding Docker and running Hello, WorldYou start by learning what a container is - a virtualized environment around the processes which make up an application. Every exercise is built to work on Mac, Windows and Arm machines so you can follow along with whatever tech you like. Docker exercise for mac Docker Desktop allows you to.Here's the Learn Docker in a Month of Lunches playlist.The book is aimed at new and improving Docker users, it starts from the basics - with best practices built in - and moves on to more advanced topics like production readiness, orchestration, observability and HTTP routing.It's a hands-on introduction to Docker, and the learning path is one I've honed from teaching Docker and Kubernetes at conference workshops and at clients for many years. This exercise involves the creation of a Docker image and pushing it to DockerHub.You get the same workflow in Docker Desktop and the Docker CLI with all the container compute you want.
![]() Docker Exercise Code Into DockerThe final image is based on a much smaller image with just the Java runtime installed and none of the additional tools.This approach is supported in all the major languages and it effectively means you can use Docker as your build server and everyone in the team has the exact same toolset because everyone uses the same images. ENTRYPOINT All the tools to download libraries, compile and package the app are in the SDK image - using Maven in this example. The exercises in this chapter use Go, Java and Node.js - and you don't need any of those runtimes installed on your machine because all the tools run inside containers.Here's a sample Dockerfile for a Java app built with Maven: FROM diamol/maven AS builderCOPY -from=builder /usr/src/iotd/target/iotd-service-0.1.0.jar. Episode 3: Packaging apps from source code into Docker imagesThe Dockerfile syntax is pretty simple and you can use it to copy binaries from your machine into the container image, or download and extract archives from a web address.But things get more interesting with multi-stage Dockerfiles which you can use to compile applications in from source code using Docker. That affects build speeds, image size and the security profile of your app, so it's fundamental to understanding about image optimization.You can attach the storage from the old container to the new one so all the data is there.You'll learn how to do that with Docker volumes and with bind mounts, in exercises which use a simple to-do list app that stores data in a Sqlite database file: docker container run -name todo1 -d -p 8010:80 diamol/ch06-todo-list# browse to There are some limitations to mounting external data sources into the container filesystem which you'll learn all about in the chapter. When you update your apps in production you'll delete the existing container and replace it with a new one from the new application image. This episode walks you through the container filesystem so you can see how the disk which the container sees is actually composed from multiple sources.Persisting state is all about separating the lifecycle of the data from the lifecycle of the container. Episode 5: Using Docker volumes for persistent storageContainers are great for stateless apps, and you can run apps which write data in containers too - as long as you understand where the data goes. It can be a simple backup plan if your provider has an outage or you lose Internet connectivity.This chapter also explains the concept of golden images which your organization can use to ensure all your apps are running from an approved set of base images, curated by an infrastructure or security team. If you've only ever used the latest tag then you should watch this one to understand why that's a moving target and explicit version tags are a much better approach.You'll push images to Docker Hub in the exercises (you can sign up for a free account with generous usage levels) and you'll also learn how to run your own registry server in a container with a simple command like this: docker container run -d -p 5000:5000 -restart always diamol/registryIt's usually better to use a managed registry like Docker Hub or Azure Container Registry but it's useful to know how to run a registry in your own organization. Minitool photo recovery for macThe episodes are available to watch on demand as soon as the session ends. Week 2 looks at running multi-container apps, introducing Docker Compose to manage multiple containers and approaches to deal with distributed applications - including monitoring and healthchecks.You can always find the upcoming episode at diamol.net/stream and there are often book giveaways at diamol.net/giveaway.The live stream is running through September 2020 and kicks off on Elton Stoneman's YouTube channel weekdays at 19:00 UTC.
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