Production-ready Docker packaging for Python developers

Itamar Turner-Trauring (pythonspeed.com), Hyphenated Enterprises LLC

Learn how to package your Python application for production using Docker.

You’re about to ship your Python application into production using Docker: your images are going to be critical infrastructure.And that means you need to follow best practices—if you don’t, you risk wasting quite a lot of money:<ul><li> You don’t want to waste hours every week waiting for slow builds.</li><li> Or even worse, you might have a production outage or security breach, costing your company orders of magnitude more money.</li></ul>So how can you ensure your Docker image packaging isn’t wasting your team’s time? How can you ensure you’re following best practices, for security, efficiency, and debuggability?<h3>Live, online training on Docker best practices specifically for Python running in production</h3>Based on many years experience using Docker, and a over a year's worth of research into <a href="https://pythonspeed.com/docker/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">best practices for Docker packaging of production Python applications</a>, I am teaching a live online class on Docker best practices for Python.You'll learn:<ul><li>Security best practices.</li><li>Make your images identifiable and builds reproducible.</li><li>Python-specific details on packaging and debugging.</li><li>Creating smaller images while still having fast builds.</li><li>And much more!</li></ul>The class involves plenty of hands-on activities! You'll be typing along with me as I demonstrate live how everything works (and occasionally make a mistake, so you can see how I recover from it). You'll also get to do hands-on exercises to help you solidify your understanding.You will also get a free copy of the <a href="https://pythonspeed.com/products/productionchecklist/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Python on Docker Production Checklist</a> (a $79 value) as a reference to help you apply what you learn later on.Here's what I heard about a live version of one of my Docker classes:<blockquote> “I thought it was really really good, and feedback from the team was that we would love to have you back again for another class.”</blockquote><blockquote>—Julian Berman, VP of Decisioning, Deloitte Digital</blockquote><h3>When, Where, Requirements</h3>This online class is taught as two half-days sessions, so you don't have to spend a whole day in front of your computer, on two mornings US East Coast time:<ul><li>Thursday, June 11, from 9:00 to 13:00 US EDT (<a href="https://everytimezone.com/s/60c5c540" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">see 9:00 AM in your local timezone</a>)</li><li>Friday June 12, from 9:00 to 13:00 US EDT </li></ul>These times should work for the US east coast and probably western Europe as well. If you're interested in a class in other timezones, email me at itamar@pythonspeed.com.Space is limited. In order to make sure I have time to help you get through exercises, and so I can adjust the class to participants' needs, there are only a limited number of spaces.Prerequisites:<ul><li>A computer with either Linux or macOS. If you can figure out how to setup Docker on WSL on Windows, that's fine too, but you will need a Unix-y environment.</li><li>Basic understanding of Unix command-line and shell-scripting. For example, you know the different between an environment variable and a command-line argument, and how to use an environment variable in a shell command.</li><li>A basic understanding of Docker packaging. That is, given a simple Python project, you should be able to create a Dockerfile that package that project in a working image—doesn't have to be a perfect Docker image, or a small image, or a secure image, but it should run the code successfully.</li><li>Industry: I prefer not to take money from teams working on projects for the military, prisons, fossil fuel extraction, surveillance, national security, or the like. If that applies to you, please don’t sign up.</li><li>Zoom: You'll need a Zoom client to access the class.</li></ul>Still need to learn more about the basics of Docker packaging? You can read my book on the subject, <a href="https://pythonspeed.com/products/justenoughdockerpackaging/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Just Enough Docker Packaging</a>, or <a href="https://pythonspeed.com/training/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">get in touch</a> to talk about my introductory Docker packaging class.<h3>Syllabus</h3>While the material covered will adjust somewhat to students' interests and needs, here's the basics of what will be covered:<ul><li>Reproducibility #1: Identifiable images</li><li>Reproducibility #2: Deterministic builds</li><li>Security: updates, no root, security scanners</li><li>Build secrets</li><li>Operational correctness: startup, shutdown, bash flaws</li><li>Preparing for failure</li><li>Faster and smaller images, part 2</li><li>Running in CI: smoke tests, tagging by branch</li><li>Multi-stage builds: smaller images with faster builds</li><li>Health checks</li></ul><h3>About me</h3>Hi, I’m Itamar Turner-Trauring.I’ve been writing Python since 1999, and I first started using Docker in 2014, when I was part of a team that wrote one of the first distributed storage backends for Docker. I also built the initial version of Telepresence, a remote development tool for Kubernetes that was adopted as a Cloud Native Computing Foundation sandbox project and has more than 2000 stars on GitHub. Over the past year I’ve been researching Docker packaging for Python in production, resulting in a <a href="https://pythonspeed.com/docker/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">free guide on production-ready Docker packaging</a> that has been read by tens of thousands of visitors. A frequent speaker at PyCon and other Python conferences, I've taught live classes at Deloitte Digital in NYC, at Cisco offices in England and Norway, and live online classes for multiple companies.

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Production-ready Docker packaging for Python developers

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Production-ready Docker packaging for Python developers

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