Application architectures have been in a constant state of evolution as new infrastructure capabilities are introduced. Virtualization, cloud, containers, mobile, and now web assembly have each introduced new options for how to build and deploy software. Recognizing the transformative potential of web assembly, Matt Butcher and his team at Fermyon are investing in tooling and services to improve the developer experience. In this episode he explains the opportunity that web assembly offers to all language communities, what they are building to power lightweight server-side microservices, and how Python developers can get started building and contributing to this nascent ecosystem.
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__!
Shipyard is an orchestration platform that helps data teams build out solid data operations from the get-go by connecting data tools and streamlining data workflows. Shipyard offers low-code templates that are configured using a visual interface, replacing the need to write code to build workflows while enabling engineers to get their work into production faster. If a solution can’t be built with existing templates, engineers can always automate scripts in the language of their choice to bring any internal or external process into their workflows.
Observability and alerting are built into the Shipyard platform, ensuring that breakages are identified before being discovered downstream by business teams. With a high level of concurrency, scalability, and end-to-end encryption, Shipyard enables data teams to accomplish more without relying on other teams or worrying about infrastructure challenges, while also ensuring that business teams trust the data made available to them. Go to pythonpodcast.com/shipyard to get started automating powerful workflows with their free developer plan today!
- Hello and welcome to Podcast.__init__, the podcast about Python’s role in data and science.
- When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. With their managed Kubernetes platform it’s easy to get started with the next generation of deployment and scaling, powered by the battle tested Linode platform, including simple pricing, node balancers, 40Gbit networking, dedicated CPU and GPU instances, and worldwide data centers. And now you can launch a managed MySQL, Postgres, or Mongo database cluster in minutes to keep your critical data safe with automated backups and failover. Go to pythonpodcast.com/linode and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show!
- Need to automate your Python code in the cloud? Want to avoid the hassle of setting up and maintaining infrastructure? Shipyard is the premier orchestration platform built to help you quickly launch, monitor, and share python workflows in a matter of minutes with 0 changes to your code. Shipyard provides powerful features like webhooks, error-handling, monitoring, automatic containerization, syncing with Github, and more. Plus, it comes with over 70 open-source, low-code templates to help you quickly build solutions with the tools you already use. Go to dataengineeringpodcast.com/shipyard to get started automating with a free developer plan today!
- Your host as usual is Tobias Macey and today I’m interviewing Matt Butcher about Fermyon and the impact of WebAssembly on software architecture and deployment across language boundaries
- How did you get introduced to Python?
- For anyone who isn’t familiar with WebAssembly can you give your elevator pitch for why it matters?
- What is the current state of language support for Python in the WASM ecosystem?
- Can you describe what Fermyon is and the story behind it?
- What are your goals with Fermyon and what are the products that you are building to support those goals?
- There has been a steady progression of technologies aimed at better ways to build, deploy, and manage software (e.g. virtualization, cloud, containers, etc.). What are the problems with the previous options and how does WASM address them?
- What are some examples of the types of applications/services that work well in a WASM environment?
- Can you describe how you have architected the Fermyon platform?
- How did you approach the design of the interfaces and tooling to support developer ergonomics?
- How have the design and goals of the platform changed or evolved since you started working on it?
- Can you describe what a typical workflow is for an application team that is using Spin/Fermyon to build and deploy a service?
- What are some of the architectural patterns that WASM/Fermyon encourage?
- What are some of the limitations that WASM imposes on services using it as a runtime? (e.g. system access, threading/multiprocessing, library support, C extensions, etc.)
- What are the new and emerging topics and capabilities in the WASM ecosystem that you are keeping track of?
- With Spin as the core building block of your platform, how are you approaching governance and sustainability of the open source project?
- What are your guiding principles for when a capability belongs in the OSS vs. commercial offerings?
- What are the most interesting, innovative, or unexpected ways that you have seen Fermyon used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on Fermyon?
- When is Fermyon the wrong choice?
- What do you have planned for the future of Fermyon?
Keep In Touch
- Thor: Love & Thunder movie
- Remembrance of Earth’s Past trilogy ("Three Body Problem" is the first) by Cixin Liu
- Thank you for listening! Don’t forget to check out our other shows. The Data Engineering Podcast covers the latest on modern data management. The Machine Learning Podcast helps you go from idea to production with machine learning.
- Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.
- If you’ve learned something or tried out a project from the show then tell us about it! Email email@example.com) with your story.
- To help other people find the show please leave a review on iTunes and tell your friends and co-workers
- Our Python entry for the Wasm Language Matrix
- SingleStore’s WASI-Python
- Great notes about Wasm support in CPyton
- Pyodide for Python in the Browser
- Web Assembly (WASM)
- Grain WASM language
- Envoy Proxy
- Functions as a Service
- Finicky Whiskers
- Fermyon Spin
- Tree Shaking
- Bytecode Alliance
- Finicky Whiskers Minecraft