Looking Under The Hood: containerD
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As we move to our application units to containers most people are asking themselves the question about orchestrator choice. That is not the only choice that’s important, what about the underlying container runtime? In this talk, we will look at why you would use containerD with runC with both Swarm and Kubernetes, but other uses for ContainerD like container OS’s to ship immutable infrastructure.
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In this session I show a media processing stack, making use of containers alongside a GPU. Specifically, I explain the kernel and user space divide of a hardware-accelerated transcode application using a device exposed to the container. This specific stack is an interesting case because of its dependency on hardware, use of a custom kernel and libraries, and operating system requirements. Our investigations have shown the use of containers has minimal performance overhead compared to running natively. Furthermore, we can quickly deploy on other machines with reduced configuration effort. There are some aspects of the application not suited to containerization, however. Since the application relies on a custom kernel, the use of containers does not necessarily increase portability. Improvement in this area would require rethinking how the applications are developed and distributed. Other areas of innovation include things such as Docker plugins to check for compatibility between the container software and host kernel.
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Even with containers, delivering an application using software packages provides multiple advantages with regards to file-based installation: it allows to manage dependencies more easily, to provide metadata, checksum, and signature mechanisms, to deal with packages repositories.
But doing that in a continuous packaging approach means that the generation of these packages is fully automated and part of the build process of the software. As a consequence, it eases the various steps of a solution lifecycle (controlled impact of installation/uninstallation,
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We built an app using VueJS and A-Frame that uses the API to visualize Docker Swarm in Web-VR.
The combination of these functional, declarative web technologies is a good way to build immersive, interactive experiences around infrastructure that are easily accessible to others.
More people should be building these kinds of tools.
We'll show how we started building the app in Swarm and how we're able to develop against the API with hot-module-reloading. (This totally works in VR!)
You'll also get a run down how we leveraged existing components from the community in order to quickly prototype our application using Docker Stacks.
Ultimately, everyone will have a chance to experience interacting with a Swarm through the magic window of their phones.
VR is a personal, educational medium. We should be building these virtual worlds around all the components of the Moby Project.
Our hope is that we can share ideas and motivate others to create more compelling Docker and infrastructure tooling with Virtual Reality.
Expect to leave the session wowed by the power of VR and informed about how to leverage Docker's REST API for your own endeavors.
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The battle will be epic!
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Will Skynet resists the relentless assaults of the great ape army?
Through this fantasy, we'll first cover all the technologies concretely used to set up the platforms and run the battle (linuxkit, infrakit, & swarm mode, and even raspberry devices among others), while we'll step back in the second part to address the subsequent architecture stakes involved: reliability, scalability, edge computing, immutability, microservices, hybridization, distributed storage. Most of all, you'll understand the importance of the synergies implied between the platforms and the app's design to achieve such a result.
LinuxKit Deep Dive
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How and Why Prometheus' New Storage Engine Pushes the Limits of Time Series D...
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This talk will describe this new storage engine, its architecture, its data structures, and explain why and how it is well suited to gracefully handle high turnover rates of monitoring targets and provide consistent query performance.
Taking Docker to Production: What You Need to Know and Decide
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What's New in Docker
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Learning Docker from Square One
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Introduction to Docker - 2017
Introduction to Docker - 2017Docker, Inc. This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points:
- Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important.
- Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability.
- Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.
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- 1. Looking under the hood: containerd Scott Coulton Principal software engineer @ Puppet
- 2. The talk should have been called? containerd, What does it mean for me ?
- 4. Agenda ● What is containerd? ● Why is containerd a critical part of the container ecosystem ? ● What upstream projects use containerd ● How is containerd changing the way we build container products
- 6. “containerd is an industry-standard core container runtime with an emphasis on simplicity, robustness and portability. containerd can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments.”
- 7. Let’s breakdown containerd ● CTR (containerd CLI) ● A daemon exposing gRPC API over a local UNIX socket ● Protobuf specs between components
- 8. Runtimes Metadata ContainersContent DiffSnapshot Tasks EventsImages GRPC Metrics Runtimes Storage OS
- 10. containerd gives us ● OCI Image Spec support ● OCI Runtime Spec support (aka runC) ● Image push and pull support ● Management of namespaces
- 12. What upstream projects use containerd
- 13. How does containerd architecture allow other projects to interact with it containerd OS (Storage, FS, Networking Runtimes API Client (moby, cri-containerd, etc.)
- 14. How does containerd architecture allow other projects to interact with it
- 15. containerd is used in ● Moby ● Moby linux kit (I want to talk about this separately) ● Kubernetes
- 16. The Moby Project
- 17. The Moby project is made up of ● The Docker Engine ● SwarmKit ● HyperKit ● RunC ● Also LinuxKit (I want to cover that separately)
- 18. How does containerd interact with Moby
- 19. How is ContainerD different from Docker
- 21. LinuxKit
- 22. What is LinuxKit ? ● Lean OS. Minimal size, minimal boot time ● 4.9 Kernel ● Allows you to run any container runtime ● Batteries included but can be replaced
- 23. Why is it different to a traditional OS ? ● Smaller attack surface ● Immutable infrastructure ● Sandboxed system services ● Specialized patches and configurations ● You have full control over the build ● The configuration is all yaml
- 24. How is containerd integrated with LinuxKit ? init: - linuxkit/init:63eed9ca7a09d2ce4c0c5e7238ac005fa44f564b - linuxkit/runc:2649198589ef0020d99f613adaeda45ce0093a38 - linuxkit/containerd:18eaf72f3f4f9a9f29ca1951f66df701f873060b - linuxkit/ca-certificates:3344cdca1bc59fdfa17bd7f0fcbf491b9dbaa288
- 25. Every containerd demo we have done has run in LinuxKit
- 28. Kubernetes
- 29. How does containerd and Kubernetes interact ?
- 30. To follow this project
- 31. Yesterdays news
- 32. Questions ?
- 33. Thank you