DockerCon EU 2015 - Windows Server Containers

Nov 18, 20151 like794 views

John Starks (Microsoft) & Arnaud Porterie (Docker) present the ongoing work to support Docker on Windows platforms using Windows Server Containers and Hyper-V Containers.

Windows Server Containers
John Starks
Principal Software Engineering Lead, Microsoft
Arnaud Porterie
Senior Engineering Manager, Docker

Docker for Windows 
 
System architecture 
 
Porting Docker 
 
Demos!
Agenda

Docker for Windows
Understanding the basics

Docker for Windows
4
What it is
It’s Docker as you know it 
Same user experience 
It’s Windows as you know it 
Complete environment inside the container 
It’s native containers 
Contained processes run on the host system 
It’s available for testing

Docker for Windows
5
What it’s not
It’s not virtualization 
Docker for Windows will not run Linux images 
It’s not a different project / code base 
The existing Docker tree was ported 
It’s not quite finished 
Required Windows Server 2016 (currently TP3)

System architecture
Windows Server Containers internals

System architecture
7
Basics
Abstraction layer between Docker and kernel 
execdriver -> hcsshim -> vmcompute -> ??? 
Internals generally not exposed 
Shared kernel 
Resource controls 
Namespaces

System architecture
8
Namespaces
Silo: extension of Windows Job object 
Set of processes 
Resource constraints 
New: set of namespaces 
New namespace virtualization 
Registry 
Process IDs, sessions 
Object namespace 
File system

System architecture
9
Object namespace
System-level namespace, hidden from users 
C:Windows maps to Global??C:Windows 
Contains all device entry points 
Global??C: 
Registry 
DeviceTcp 
Added “chroot”, one namespace per container 
ContainersfooGlobal??C: 
ContainersbarGlobal??C:

System architecture
10
Filesystem
Windows applications expect NTFS semantics 
Transactions, file IDs, USN journal 
Building a full union FS with NTFS semantics is hard
Hybrid model 
Virtual block device + NTFS partition per container 
Symlinks to layers on host FS to keep block devices small

System architecture
11
Base image
Public Windows API delivered via DLLs, not syscalls 
Highly dependent on RPC to system services 
FROM scratch 
Windows images must derive from Windows base image 
windowsservercore – large, nearly full Win32 compatibility 
nanoserver – small, fast to boot, software may need porting 
Base images are delivered separately from Docker

System architecture
12
Hyper-V containers
New in Windows Server 2016 TP4 
Docker runs on host 
Launches silo in a stateless, lightweight Hyper-V VM 
VM invisible to user 
Appears like a process-based container 
docker run --isolation=hyperv 
Use SMB over VMBus to provide layers, volumes

Porting Docker
14
Microsoft contributions in numbers
319 pull requests 
(+) 182,315 (-) 12,113 
 
 
 
#4 contributor in terms of pull requests
#5 contributor in terms of lines of code

Porting Docker
15
Technical details
Go build tags 
In source: // +build windows
In the filename: daemon/containers_windows.go 
Go interfaces 
Graph driver (~ image storage) 
Execution driver

Porting Docker
16
Future: multi-architecture images
Example: docker pull redis 
What’s my executing OS? 
Not just Windows, but also ARM, … 
Proposal: docker/distribution#1068 
A new image manifest format to support multi-arch

Demo
20
A hybrid Swarm cluster
All components speak the Docker API 
Docker daemon on Linux host 
Docker daemon on Windows host 
Swarm master (hosted on the same Linux host) 
Deploying to either is just a scheduling decision 
Using Swarm constraints mechanism

Thank you!John Starks
 
john.starks@microsoft.com
Arnaud Porterie
@icecrime 
arnaud@docker.com

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𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨? Everyone’s talking about AI but is anyone really using it to create real value? Most companies want to leverage AI. Few know 𝗵𝗼𝘄. ✅ What exactly should you ask to find real AI opportunities? ✅ Which AI techniques actually fit your business? ✅ Is your data even ready for AI? If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.

Semantic Cultivators : The Critical Future Role to Enable AIartmondano

Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB

Want to learn practical tips for designing systems that can scale efficiently without compromising speed? Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development. As you explore key principles of designing low-latency systems with Rust, you will learn how to: - Create and compile a real-world app with Rust - Connect the application to ScyllaDB (NoSQL data store) - Negotiate tradeoffs related to data modeling and querying - Manage and monitor the database for consistently low latencies

Rusty Waters: Elevating Lakehouses Beyond Sparkcarlyakerly1

Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark? At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍 Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀

Heap, Types of Heap, Insertion and DeletionJaydeep Kale

#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada

Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next. Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/ Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.

AI and Data Privacy in 2025: Global TrendsInData Labs

In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy. This infographic contains: -AI and data privacy: Key findings -Statistics on AI data privacy in the today’s world -Tips on how to overcome data privacy challenges -Benefits of AI data security investments. Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.

Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul

Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.