Integrating Docker in VSCode for Fast Deployment and Debugging

发布时间: 2024-09-15 08:48:19 阅读量: 28 订阅数: 47

Docker-in-Action.pdf

Docker-in-Action.pdf In 2011, I started working at Amazon.com. In that first week my life was changed as I learned how to use their internal build, dependency modeling, and deployment tool- ing. This was the kind of automated management I had always known was possible but had never seen. I was coming from a team that would deploy quarterly and take 10 hours to do so. At Amazon I was watching rolling deployments push changes I had made earlier that day to hundreds of machines spread all over the globe. If big tech firms had an engineering advantage over the rest of the corporate landscape, this was it. Early in 2013, I wanted to work with Graphite (a metrics collection and graphing suite). One day I sat down to install the software and start integrating a personal proj- ect. At this point I had several years of experience working with open source applica- tions, but few were as dependent on such large swaths of the Python ecosystem. The installation instructions were long and murky. Over the next several hours, I discov- ered many undocumented installation steps. These were things that might have been more obvious to a person with deeper Python ecosystem knowledge. After pouring over several installation guides, reading through configuration files, and fighting an epic battle through the deepest parts of dependency hell, I threw in the towel. Those had been some of the least inspiring hours of my life. I wanted nothing to do with the project. To make matters worse, I had altered my environment in a way that was incompatible with other software that I use regularly. Reverting those changes took an embarrassingly long time. I distinctly remember sitting at my desk one day in May that year. I was between tasks when I decided to check Hacker News for new ways to grow my skillset. Articles about a technology called Docker had made the front page a few times that week. That evening I decided to check it out. I hit the site and had the software installed within a few minutes. I was running Ubuntu on my desktop at home, and Docker only had two dependencies: LXC and the Linux kernel itself. Licensed to Stephanie Bernal <nordicka.n@gmail.com> PREFACE xiv Like everyone else, I kicked the tires with a “Hello, World” example, but learned little. Next I fired up Memcached. It was downloaded and running in under a minute. Then I started WordPress, which came bundled with its own M y SQL server. I pulled a couple different Java images, and then Python images. Then my mind flashed back to that terrible day with Graphite. I popped over to the Docker Index (this was before Docker Hub) and did a quick search. The results came back, and there it was. Some random user had created a Graphite image. I pulled it down and created a new container. It was running. A simple but fully configured Graphite server was running on my machine. I had accomplished in less than a minute of download time what I had failed to do with several hours a few months earlier. Docker was able to demonstrate value with the simplest of examples and minimum effort. I was sold. Over the next week, I tried the patience of a close friend by struggling to direct our conversations toward Docker and containers. I explained how package management was nice, but enforcing file system isolation as a default solved several management problems. I rattled on about resource efficiency and provisioning latency. I repeated this conversation with several other colleagues and fumbled through the container story. Everyone had the same set of tired questions, “Oh, it’s like virtualization?” and “Why do I need this if I have virtual machines?” The more questions people asked, the more I wanted to know. Based on the popularity of the project, this is a story shared by many. I began including sessions about Docker when I spoke publicly. In 2013 and 2014, only a few people had heard of Docker, and even fewer had actually tried the software. For the most part, the crowds consisted of a few skeptical system administrator types and a substantial number of excited developers. People reacted in a multitude of ways. Some were pure rejectionists who clearly preferred the status quo. Others could see problems that they experienced daily solved in a matter of moments. Those peo- ple reacted with an excitement similar to mine. In the summer of 2014, an associate publisher with Manning called me to talk about Docker. After a bit more than an hour on the phone he asked me if there was enough content there for a book. I suggested that there was enough for a few books. He asked me if I was interested in writing it, and I became more excited than I had been for some time. That fall I left Amazon.com and started work on Docker in Action. Today, I'm sitting in front of the finished manuscript. My goal in writing this book was to create something that would help people of mixed backgrounds get up to speed on Docker as quickly as possible, but in such a way that they understand the underlying mechanisms. The hope is that with that knowledge, readers can under- stand how Docker has been applied to certain problems, and how they might apply it in their own use-cases.

# Integrate Docker into VSCode for Fast Deployment and Debugging ## 1. Introduction to Docker Docker is an open-source container platform that allows developers to package and deploy applications in isolated environments. Containers are a lightweight form of virtualization that offers advantages such as faster startup times and less resource usage compared to traditional virtual machines. Docker containers can run on any operating system that supports the Linux kernel, including Windows, macOS, and Linux. Containers are created from images. An image is a read-only template with all the files and dependencies needed to run the application. When a container is started, Docker creates a writable instance of the image. This container instance can modify the file system, install software, and run processes, without affecting the underlying host. ## 2. Docker Container Basics ### 2.1 Concepts and Principles of Containers #### Concepts of Containers Containers are a lightweight form of virtualization that isolate applications from the underlying infrastructure, allowing applications to run consistently in different environments. Containers are similar to virtual machines, but they are more lightweight because they do not include an operating system. #### Principles of Containers Containers achieve isolation through mechanisms such as: - **Namespaces:** Isolate the container's processes, network, file system, and users. - **Control Groups (cgroups):** Limit the container's resource usage, such as CPU, memory, and disk I/O. - **Union File Systems:** Layer the container's file system on top of the host file system, allowing the container to run without modifying the host file system. ### 2.2 Creating and Managing Container Images #### Container Images A container image is an immutable file containing the application and its dependencies. Images can be pulled from public repositories like Docker Hub or custom-created through a `Dockerfile`. #### Creating Container Images The steps to create a container image using a `Dockerfile` are as follows: 1. Create a `Dockerfile` with the base image and dependencies to be installed. 2. Run the `docker build` command to build the image based on the `Dockerfile`. ``` # Dockerfile FROM ubuntu:20.04 RUN apt-get update && apt-get install -y nginx CMD ["nginx", "-g", "daemon off;"] ``` **Logical Analysis:** * `FROM ubuntu:20.04` specifies the base image as Ubuntu 20.04. * `RUN apt-get update && apt-get install -y nginx` installs the Nginx Web server. * `CMD ["nginx", "-g", "daemon off;"]` sets Nginx to run as a foreground process. #### Managing Container Images Commands for managing container images include: - `docker images`: Lists all images. - `docker pull`: Pulls an image from a repository. - `docker push`: Pushes an image to a repository. - `docker rmi`: Removes an image. ### 2.3 Starting, Stopping, and Managing Containers #### Starting a Container Use the `docker run` command to start a container, specifying the image and the command to run. ``` docker run -d -p 80:80 nginx ``` **Argument Explanation:** - `-d`: Runs the container in detached mode (as a daemon). - `-p 80:80`: Maps the container's 80 port to the host's 80 port. #### Stopping a Container Use the `docker stop` command to stop a container. ``` docker stop nginx-container ``` **Logical Analysis:** This command stops the container named `nginx-container`. #### Managi

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