Server administration is a complex endeavor, but there are some tools that can make life easier. If you are running your workload in a cloud environment then cloud-init is here to help. This week Scott Moser explains what cloud-init is, how it works, and how it became the de-facto tool for configuring your Linux servers at boot.
Do you want to try out some of the tools and applications that you heard about on Podcast.__init__? Do you have a side project that you want to share with the world? With Linode’s managed Kubernetes platform it’s now even easier to get started with the latest in cloud technologies. With the combined power of the leading container orchestrator and the speed and reliability of Linode’s object storage, node balancers, block storage, and dedicated CPU or GPU instances, you’ve got everything you need to scale up. Go to pythonpodcast.com/linode today and get a $100 credit to launch a new cluster, run a server, upload some data, or… And don’t forget to thank them for being a long time supporter of Podcast.__init__!
- Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
- I would like to thank everyone who supports us on Patreon. Your contributions help to make the show sustainable.
- When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at www.podastinit.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
- Need to learn more about how to scale your apps or learn new techniques for building them? Pluralsight has the training and mentoring you need to level up your skills. Go to www.pythonpodcast.com/pluralsight to start your free trial today.
- Visit the site to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.
- To help other people find the show please leave a review on iTunes, or Google Play Music, tell your friends and co-workers, and share it on social media.
- If you work with data for your job or want to learn more about how open source is powering the latest innovations in data science then make your way to the Open Data Science Conference, happening in London in October and San Francisco in November. Follow the links in the show notes to register and help support the show in the process.
- Your host as usual is Tobias Macey and today I’m interviewing Scott Moser about cloud-init, a set of python scripts and utilities to make your cloud images be all they can be!
- How did you get introduced to Python?
- What is cloud-init and how did the project get started?
- Why was Python chosen as the language for implementing cloud-init?
- How has cloud-init come to be the de-facto utility for managing cloud instances across vendors and distributions?
- Are there any viable competitors to cloud-init? coreos-cloudinit, some others.
- How much overlap is there between cloud-init and configuration management tools such as SaltStack, Ansible, Chef, etc.
- How have you architected cloud-init to allow for compatibility across operating system distributions?
- What is the most difficult or complex aspect of building and maintaining cloud-init? [os integration, networking, goal of “do stuff without reboot”]
- Given that it is used as a critical component of the production deployment mechanics for a large number of people, how do you ensure an appropriate level of stability and security while developing cloud-init?
- How do you think the status of cloud-init as a Canonical project has affected the level of contributions that you receive?
- How much of the support and roadmap is contributed by individual vs corporate users such as AWS and Azure?
- What are some of the most unexpected or creative uses of cloud-init that you have seen? [https://wiki.ubuntu.com/OpenCompute “disposable use os”]
- In your experience, what has been the biggest stumbling block for new users of cloud-init?
- Do you have any notable features or improvements planned for the future of cloud-init, or do you feel that it has reached a state of feature-completeness?
Keep In Touch
- smoser on GitHub
- IBM – Linux Technology Center
- Joyent SmartOS
- Digital Ocean
- Canonical MaaS+
- Pretty Table