Open Design at large scale by Solomon Hykes

•

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Open design at large scale

The real value of Docker is not technology
It’s getting people to agree on something

How active is
Docker?

4854 PRs (Oct 2014, sub-projects not included)

4854 PRs
(Oct 2014, sub-projects not included)
Total Merged Average
days open
Median
days open
Docker, inc 2410 1995 (82%) 7.2 1
Community 2444 1615 (66%) 9.4 1
• Differences are noticeable but reasonable: initial maintainers are by definition
employees. “community” includes the long tail of low-quality patch bombs.
• We want to trend towards zero difference
• The median pull request has been open 1 day which is insane!

The Human Stack (c) Damien Duportal
Contributors
Google Red Hat Microsoft Docker,
IBM inc. etc.
Open Design API
Project maintainers
DGAB advice

The Human Stack (c) Damien Duportal
Contributors
Google Red Hat Microsoft Docker,
IBM inc. etc.
Open Design API
Project maintainers DGAB advice

CONTRIBUTORS
Project maintainers
BDFL
DGAB
daemon.go registry.go
libcontainer/

How do we scale this to
10,000 contributors and
dozens of sub-projects?

Proposed improvement: PR 9137
(yes, governance changes happen in PRs)
Project maintainers DGAB
BDFL
less important
chief architect chief operator chief maintainer
architects operators core maintainers
subsystem subsystem subsystem subsystem
subsystem subsystem subsystem subsystem

9137
https://github.com/docker/docker/pull/9137
Please give feedback!

Human organizations
are programmable.
Bugs can be fixed, scale bottlenecks
removed, inefficient code refactored

We can define a new
model for open-source
at large scale

Thank you!

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Docker 之道 Modernize Traditional Applications with 无为 Create New Cloud Native ...

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Docker 之道 Modernize Traditional Applications with 无为 Create New Cloud Native ...

Patrick Chanezon

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Docker Birthday #3 - Intro to Docker Slides

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Docker Birthday #3 Slides - Overview

Docker Birthday #3 Slides - Overview

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Docker for Mac

Amazon Web Services

In celebration of Docker's 5th birthday in March, user groups all around the world hosted birthday events with an introduction to Docker presentation and hands-on-labs. We invited Docker users to recognize where they were on their Docker journey and the goal was to help them take the next step of their journey with the help of mentors. This presentation was done at the beginning of the events (this one is from the San Francisco event in HQ) and gives a run down of the birthday event series, Docker's momentum, a basic explanation of containers, the benefits of using the Docker platform, Docker + Kubernetes and more.

Docker Bday #5, SF Edition: Introduction to Docker

Docker Bday #5, SF Edition: Introduction to Docker

Docker Bday #5, SF Edition: Introduction to Docker

Is creating CICD pipeline with ‘DAGGER’ a new fad in DevOps.pdf

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Bahrain ch9 introduction to docker 5th birthday

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Docker Birthday #3 - Intro to Docker Slides

Docker Birthday #3 - Intro to Docker Slides

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Docker Bday #5, SF Edition: Introduction to Docker

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Is creating CICD pipeline with ‘DAGGER’ a new fad in DevOps.pdf

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DockerCon14 Keynote

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Raymond Arifianto, AccelByte and Mark Mandel, Google - We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.

Containerize Your Game Server for the Best Multiplayer Experience

Containerize Your Game Server for the Best Multiplayer Experience

Containerize Your Game Server for the Best Multiplayer Experience

Nicholas Dille, Haufe-Lexware + Docker Captain - Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.

How to Improve Your Image Builds Using Advance Docker Build

How to Improve Your Image Builds Using Advance Docker Build

How to Improve Your Image Builds Using Advance Docker Build

Lukonde Mwila, Entelect - As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.

Build & Deploy Multi-Container Applications to AWS

Build & Deploy Multi-Container Applications to AWS

Build & Deploy Multi-Container Applications to AWS

Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.

Securing Your Containerized Applications with NGINX

Securing Your Containerized Applications with NGINX

Securing Your Containerized Applications with NGINX

Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.

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How To Build and Run Node Apps with Docker and Compose

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Jeff Hajewski, Salesforce - There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.

Distributed Deep Learning with Docker at Salesforce

Distributed Deep Learning with Docker at Salesforce

Distributed Deep Learning with Docker at Salesforce

James Fuller, webcomposite s.r.o. - Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.

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The First 10M Pulls: Building The Official Curl Image for Docker Hub

The First 10M Pulls: Building The Official Curl Image for Docker Hub

Fabian Stäber, Instana - In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.

Monitoring in a Microservices World

Monitoring in a Microservices World

Monitoring in a Microservices World

Clemente Biondo, Engineering Ingegneria Informatica - When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.

COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...

COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...

COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...

Chris Lauer, NOAA Space Weather Prediction Center - This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019.

Predicting Space Weather with Docker

Predicting Space Weather with Docker

Predicting Space Weather with Docker

Brian Christner, 56k + Docker Captain - In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.

Become a Docker Power User With Microsoft Visual Studio Code

Become a Docker Power User With Microsoft Visual Studio Code

Become a Docker Power User With Microsoft Visual Studio Code

How to Use Mirroring and Caching to Optimize your Container Registry

How to Use Mirroring and Caching to Optimize your Container Registry

How to Use Mirroring and Caching to Optimize your Container Registry

Ashish Sharma, SS&C Eze - SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.

Monolithic to Microservices + Docker = SDLC on Steroids!

Monolithic to Microservices + Docker = SDLC on Steroids!

Monolithic to Microservices + Docker = SDLC on Steroids!

Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.

Kubernetes at Datadog Scale

Kubernetes at Datadog Scale

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Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.

Labels, Labels, Labels

Labels, Labels, Labels

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Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.

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Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model

Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model

Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.

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Build & Deploy Multi-Container Applications to AWS

Build & Deploy Multi-Container Applications to AWS

Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.

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From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...

This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.

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Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

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The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

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What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

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Open Design at large scale by Solomon Hykes

1. Open design at large scale

2. The real value of Docker is not technology It’s getting people to agree on something

3. How active is Docker?

4. 4854 PRs (Oct 2014, sub-projects not included)

5. 4854 PRs (Oct 2014, sub-projects not included) Total Merged Average days open Median days open Docker, inc 2410 1995 (82%) 7.2 1 Community 2444 1615 (66%) 9.4 1 • Differences are noticeable but reasonable: initial maintainers are by definition employees. “community” includes the long tail of low-quality patch bombs. • We want to trend towards zero difference • The median pull request has been open 1 day which is insane!

6. The Human Stack (c) Damien Duportal Contributors Google Red Hat Microsoft Docker, IBM inc. etc. Open Design API Project maintainers DGAB advice

7. The Human Stack (c) Damien Duportal Contributors Google Red Hat Microsoft Docker, IBM inc. etc. Open Design API Project maintainers DGAB advice

8. CONTRIBUTORS Project maintainers BDFL DGAB daemon.go registry.go libcontainer/

9. How do we scale this to 10,000 contributors and dozens of sub-projects?

10. Proposed improvement: PR 9137 (yes, governance changes happen in PRs) Project maintainers DGAB BDFL less important chief architect chief operator chief maintainer architects operators core maintainers subsystem subsystem subsystem subsystem subsystem subsystem subsystem subsystem

11. 9137 https://github.com/docker/docker/pull/9137 Please give feedback!

12. Human organizations are programmable. Bugs can be fixed, scale bottlenecks removed, inefficient code refactored

13. We can define a new model for open-source at large scale