Production sec ops with kubernetes in dockerDocker, Inc.
In this talk, Scott Coulton will walk through how to build a container as a service platform with Docker EE. Starting from scratch he will help you figure out what orchestrator to choose by deep diving into the technical differences between swarm and kubernetes on the EE platform as well as cover some of the practical considerations that could influence your decision. He will also share various automation solutions to deploy your cluster into production. Once the cluster is up and and running, Scott will delve into sec ops and discuss security best practices - including signing images in DTR (Docker Trusted Registry) and CVE scanning to provide a secure supply chain into production. You’ll leave this talk with the knowledge needed to build your own container platform in production. And did I mention it will all be done live, step-by-step?
Considerations for operating docker at scaleDocker, Inc.
"Scale" happens along 3 different aspects: (1) applications and their services scale up and down leading to (2) the infrastructure scaling up to meet the needs of the applications, and finally (3) sites scale across multiple locations, including movement to public cloud. In this session, we will talk about how Docker EE scales along all three of these dimensions to give you a consistent platform for running your applications:
1. At the application level: how do you manage application state & health along with resource and security constraints to scale containers up and down up in a controlled fashion?
2. The infrastructure level: as your application estate grows on the Docker EE platform you will need to scale across more nodes. How do automate the provisioning of these new nodes and how do you integrate the Docker EE platform layer with your existing infrastructure systems and tools.
3. Finally, we'll talk about distributed scale: how do you take what works for applications in one data center and spread it across multiple sites, in an integrated fashion so you can operate seamlessly?
Proactive ops for container orchestration environmentsDocker, Inc.
Break -> inspect -> fix is the Ops workflow for infrastructure stacks of the past. Distributed infrastructure and applications claim to be the new generation, but why is it so much more painful to maintain and troubleshoot them? Much of the pain comes from outdated operational models relying on reactive or, worse yet, manual monitoring and Ops.
This talk lays out a proactive Ops model for container infrastructure. By focusing on event monitoring, infrastructure state monitoring, trend analysis, and distributed log collection, a proactive Ops model delivers observability for distributed apps that was not possible before. Using real-world examples from Swarm and Kubernetes, we'll demonstrate the tools used and how we relieve Ops pain in container orchestration.
Pull, push, clone, it is all in your daily workflow. But what if this wasn't your source code or your container, but the state of your whole computer? Push your production database over to another machine? No problem!
This talk shows how you can use Dotmesh with LinuxKit to work with persistent data on your server as simply as you work with git. This workflow helps unleash new ways of working with servers and data. Immutable infrastructure from LinuxKit meets controlled and manageable data storage from Dotmesh. Combining these two open source projects allows new possibilities in how to manage your infrastructure.
Accessible hpc for everyone with docker and containersDocker, Inc.
This session will introduce High Performance Computing and outline the challenges when trying to fit those workloads into containers. Afterwards the community solutions are touched on before an approach based on proper Docker is shown. The talk will wrap-up with an outlook how containers can foster scientific discoveries by allowing HPC to be used by everyone.
Your developers just walked into your cube and said: "Here's the new app, I built it with Docker, and it's ready to go live." What do you do next? In this session, we'll talk about what containers are and what they are not. And we'll step through a series of considerations that need to be examined when deploying containerized workloads - VMs or Container? Bare Metal or Cloud? What about capacity planning? Security? Disaster Recovery? How do I even get started?
How does awesome Android benefit from dazzling Docker? With an introduction to the Docker way of continuous integration for Android, it would help you get a consistent Android development and build environment with minimal effort.
Syllabus:
* Background story - where the problem happened
* Why Android dev should care?
* How to provision an Android environment to build project usually? How Docker is gonna solve it?
* Typical machine dependant failing unit tests examples, which could be revealed by using Docker
* Philosophy, features, improvements, comparison against traditional approach
* Limitations
* Quick setup of Jenkins using AndroidSDK docker slaves (live demo)
Production sec ops with kubernetes in dockerDocker, Inc.
In this talk, Scott Coulton will walk through how to build a container as a service platform with Docker EE. Starting from scratch he will help you figure out what orchestrator to choose by deep diving into the technical differences between swarm and kubernetes on the EE platform as well as cover some of the practical considerations that could influence your decision. He will also share various automation solutions to deploy your cluster into production. Once the cluster is up and and running, Scott will delve into sec ops and discuss security best practices - including signing images in DTR (Docker Trusted Registry) and CVE scanning to provide a secure supply chain into production. You’ll leave this talk with the knowledge needed to build your own container platform in production. And did I mention it will all be done live, step-by-step?
Considerations for operating docker at scaleDocker, Inc.
"Scale" happens along 3 different aspects: (1) applications and their services scale up and down leading to (2) the infrastructure scaling up to meet the needs of the applications, and finally (3) sites scale across multiple locations, including movement to public cloud. In this session, we will talk about how Docker EE scales along all three of these dimensions to give you a consistent platform for running your applications:
1. At the application level: how do you manage application state & health along with resource and security constraints to scale containers up and down up in a controlled fashion?
2. The infrastructure level: as your application estate grows on the Docker EE platform you will need to scale across more nodes. How do automate the provisioning of these new nodes and how do you integrate the Docker EE platform layer with your existing infrastructure systems and tools.
3. Finally, we'll talk about distributed scale: how do you take what works for applications in one data center and spread it across multiple sites, in an integrated fashion so you can operate seamlessly?
Proactive ops for container orchestration environmentsDocker, Inc.
Break -> inspect -> fix is the Ops workflow for infrastructure stacks of the past. Distributed infrastructure and applications claim to be the new generation, but why is it so much more painful to maintain and troubleshoot them? Much of the pain comes from outdated operational models relying on reactive or, worse yet, manual monitoring and Ops.
This talk lays out a proactive Ops model for container infrastructure. By focusing on event monitoring, infrastructure state monitoring, trend analysis, and distributed log collection, a proactive Ops model delivers observability for distributed apps that was not possible before. Using real-world examples from Swarm and Kubernetes, we'll demonstrate the tools used and how we relieve Ops pain in container orchestration.
Pull, push, clone, it is all in your daily workflow. But what if this wasn't your source code or your container, but the state of your whole computer? Push your production database over to another machine? No problem!
This talk shows how you can use Dotmesh with LinuxKit to work with persistent data on your server as simply as you work with git. This workflow helps unleash new ways of working with servers and data. Immutable infrastructure from LinuxKit meets controlled and manageable data storage from Dotmesh. Combining these two open source projects allows new possibilities in how to manage your infrastructure.
Accessible hpc for everyone with docker and containersDocker, Inc.
This session will introduce High Performance Computing and outline the challenges when trying to fit those workloads into containers. Afterwards the community solutions are touched on before an approach based on proper Docker is shown. The talk will wrap-up with an outlook how containers can foster scientific discoveries by allowing HPC to be used by everyone.
Your developers just walked into your cube and said: "Here's the new app, I built it with Docker, and it's ready to go live." What do you do next? In this session, we'll talk about what containers are and what they are not. And we'll step through a series of considerations that need to be examined when deploying containerized workloads - VMs or Container? Bare Metal or Cloud? What about capacity planning? Security? Disaster Recovery? How do I even get started?
How does awesome Android benefit from dazzling Docker? With an introduction to the Docker way of continuous integration for Android, it would help you get a consistent Android development and build environment with minimal effort.
Syllabus:
* Background story - where the problem happened
* Why Android dev should care?
* How to provision an Android environment to build project usually? How Docker is gonna solve it?
* Typical machine dependant failing unit tests examples, which could be revealed by using Docker
* Philosophy, features, improvements, comparison against traditional approach
* Limitations
* Quick setup of Jenkins using AndroidSDK docker slaves (live demo)
At Docker, we like to “eat our own dog food” or “drink our own champagne.” Whatever your favorite phrase, the importance of a software company using their own software is critical to relating to our customers. In this talk, we will discuss how the Docker Infrastructure and engineering teams have deployed and operationalized Docker Enterprise Edition (EE) for our staging and production environments, what we have learned in the process, and how it's making Docker EE better.
Packaging software for the distribution on the edgeDocker, Inc.
At GE Digital, in the Asset Performance Management space, we need to supply an edge solution that impacts both on-premise and data transmission to the cloud. Our current edge solutions are relatively simplistic, but as our technologies mature along with our customers’ needs, we’re finding that we need to grasp a more fog computing-based approach where we include more intelligence, more computing power, at the edge. Along with this computative power, we need to better remotely manage these systems – to be able to monitor progress and diagnose problems – a technology that would enable us to containerize, to better manage, our software bundlings and deployments.
We found that Windows Docker seemed to fit the bill -- much of the technologies that live at our edge solutions are Windows OS based (as the customers’ main platforms are Windows OS based). This presentation reviews the approach that we took to repackage one of our main APM on-premise solutions using Windows Docker. We’ve created a prototype which we’re looking forward to productize and enable the capability of remote management to thousands of deployments.
The presentation also contains a video demo of the running system. The on-prem APM system will demonstrate the usage of Docker networking along with docker volumes and three (3) docker containers – will discuss the construction of the images, and nuances, of execution of the running docker containers.
Using Docker for GPU-accelerated Applications by Felix Abecassis and Jonathan...Docker, Inc.
In addition of being used for visualization, the highly parallel architecture of GPUs also make them a natural fit for accelerating data-parallel and throughput oriented computations such as machine learning or numerical simulations. When GPUs applications are deployed inside data centers they suffer from the same packaging issues as CPU applications, aggravated by a strong need to get reproducible performance results.
The Docker ecosystem is mostly CPU-centric and aims to be hardware-agnostic. This is not the case for GPUs applications since specialized hardware and a specific kernel device driver are now required. We will show how we reconciled those seemingly opposed requirements to enable containerization and execution of GPU applications with Docker.
Automated hardware testing using docker for spaceDocker, Inc.
Two things are for certain – space is hard, and Docker is not just for web content! Space software development traditionally lags behind state of the art software process for good reason – our missions are long (7+ years), we run on highly constrained embedded hardware, and the software cannot fail. Docker, along with a devops mentality, has helped us create a scalable, parallelizable and rapidly deployable test infrastructure for DART, NASA’s mission to hit an asteroid at 6 km/s.
During the presentation, we will walk through how our dev cycle has changed from a human based testing system to an automated one. We will outline how we are using Docker (and NASA Goddard’s Core Flight Executive) for both our embedded development environment and our scalable test environment. Next, we will discuss what deployment means to us (and how different it is from web deployment). Lastly, we will explore lessons learned on how our hardware-centric testing approach was adapted into a software-based approach: what worked, what didn’t, what we wish we could do someday.
How can you help? We are new to Docker. We are excited to share our experiences and hear from the Docker community on our use cases, technological hurdles that we faced, our solutions to these problems, and how we can harness Docker to the fullest extent.
Activision's Skypilot: Delivering Amazing Game Experiences Through Containeri...Docker, Inc.
"Technologies that are going to affect our lives in the next decade are being tested and developed in the video game sphere." In January 2016 Activision approved a pilot project to build a containerised continuous delivery pipeline using Docker. This project spanned multiple devops teams and would culminate in launching a production title "Skylanders Imaginators" in October 2016. The Mission Statement : “Our mission is to deliver an amazing build, test and deploy pipeline that aims to be so reliable, effective and easy to use that our product and title departments will end up writing high value gaming services all day long without giving a second thought to how they may reliably deliver these in record time.” This talk will discuss the cultural and technical challenges faced throughout the pilot. Spoiler alert: Not everyone was happy with the decision to use Docker. The talk will cover the concerns and how we handled them. It will cover why it is important, especially in the games industry, to be evaluating and integrating technologies like Docker in order to remain relevant. For the first time in Demonware history developers were responsible for the launch and support of a title. We are also the first studio under Activision to be running Docker in Production.
Docker for developers on mac and windowsDocker, Inc.
The whole Docker ecosystem exists today because of every single developer who found ways of using Docker to improve how they build software; whether streamlining production deployments, speeding up continuous integration systems or standing up an application on your laptop to hack on. In this talk we want to take a step back and look at where Docker sits today from the software developers point of view - and then jump ahead and talk about where it might go in the future. In this talk, we’ll discuss:
* Making Docker an everyday part of the developing software on the desktop, with Docker for Windows and Docker for Mac
* Docker Compose, and the future of describing applications as code
* How Docker provides the best tools for developing applications destined to run on any Kubernetes cluster
This session should be of interest to anyone who writes software; from people who want to hack on a few personal projects, to polyglot open source programmers and to professional developers working in tightly controlled environments. Everyone deserves a better developer experience.
DockerCon EU 2015: Placing a container on a train at 200mphDocker, Inc.
Presented by Casper S. Jensen, Software Engineer, Uber
At Uber, we've been introducing Docker to give service owners more control over their environments. However, everything at Uber is moving very fast so we have had to do it a way such that Docker fitted into the existing infrastructure and services could be migrated seamlessly to Docker without any service interruptions. In this talk we will talk about the challenges we faced while doing this, such as handling both non-Docker and Docker builds, image replication, integration with our deployment systems and other challenges when deploying Docker at scale.
About 94% of AI Adopters are planning to use containers in the next 1 year. What’s driving this exponential growth? Faster time to deployment and Faster AI workload processing are the two major reasons. You can use GPUs in big data applications such as machine learning, data analytics, and genome sequencing. Docker containerization makes it easier for you to package and distribute applications. You can enable GPU support when using YARN on Docker containers. In this talk, I will demonstrate how Docker accelerates the AI workload development and deployment over the IoT Edge devices in efficient manner
DCEU 18: Docker Containers in a Serverless WorldDocker, Inc.
Jules Testard - Software Engineer, Docker Inc
Since the advent of AWS Lambda in 2014, the Function as a Service (FaaS) programming paradigm has gained a lot of traction in the cloud community. Since then, interest has increased for developers and entreprises to build their own open source solutions on top of Kubernetes. A number of competing frameworks in this space have been developed. In this talk, we will look at three specific frameworks (OpenFaas, Nuclio and FN) and for each framework we will: Show how to create, deploy, and invoke a function using that framework Show how Docker images and containers are used by each framework under the hood Investigate how the frameworks leverage KNative to build, ship and run applications on Kubernetes
containerd the universal container runtimeDocker, Inc.
containerd is an industry-standard core container runtime with an emphasis on simplicity, robustness and portability. It is available as a daemon for Linux and Windows, which can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments, etc..
containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.
containerd includes a daemon exposing gRPC API over a local UNIX socket. The API is a low-level one designed for higher layers to wrap and extend. It also includes a barebone CLI (ctr) designed specifically for development and debugging purpose. It uses runC to run containers according to the OCI specification. The code can be found on GitHub, and here are the contribution guidelines.
containerd is based on the Docker Engine’s core container runtime to benefit from its maturity and existing contributors.
The Fairy Tale of the One Command Build ScriptDocker, Inc.
Do you have this build script that with a single command builds your software? Does this still apply on a brand new PC?
This presentation takes you on the journey to construct complex build environments using Docker. The journey follows our lessons learned and experiences going from hand crafted to Dockerized build environments. We will look at different patterns to build modular containers, ways to chain containers and the specialties of Windows containers.
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
It takes a Village to do the Impossible - Jeff LindsayDocker, Inc.
From one of the most quietly prolific open source developers in the Docker ecosystem comes an exciting new open source tool unlike anything you've seen before. And while that's probably true,it's actually quite mundane in his grand scheme. A two part talk starting with a demo, and then a sampling of what's to come and how you can be a part of it.
Slides from the talk given to the Startup Berlin Slack Group that demonstrates how TruckIN is implementing its continuous delivery workflow using technologies and open-source tools.
Topics that are covered: Automated Cloud Provisioning (Network, Subnets, VMs, Kubernetes Cluster, Firewall, Disks, Credentials, Private Docker Registry); Configuration Management (Salt Stack), Continuous Integration (Jenkins CI), Continuous Delivery/Deployment (Salt API/Reactor + Kubernetes) to a Google Cloud Kubernetes Cluster, Remote Application Debugging, Managing Google Cloud Kubernetes Cluster, Logging, Monitoring and ChatOps (Slack and operable.io)
Hybrid and multicloud deployments are critical approaches for bridging the gap between legacy and modern architectures. Sandeep Parikh discusses common patterns for creating scalable cross-environment deployments using Kubernetes and explores best practices and repeatable patterns for leveraging Kubernetes as a consistent abstraction layer across multiple environments.
DevOps with Azure, Kubernetes, and Helm WebinarCodefresh
Watch the webinar here: https://codefresh.io/devops-azure-kubernetes-helm-lp/
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
In this webinar, we will show you how you can use standard DevOps practices such as IaC, CI/CD, automated release and more in conjunction with Kubernetes (AKS) and Helm.
At Docker, we like to “eat our own dog food” or “drink our own champagne.” Whatever your favorite phrase, the importance of a software company using their own software is critical to relating to our customers. In this talk, we will discuss how the Docker Infrastructure and engineering teams have deployed and operationalized Docker Enterprise Edition (EE) for our staging and production environments, what we have learned in the process, and how it's making Docker EE better.
Packaging software for the distribution on the edgeDocker, Inc.
At GE Digital, in the Asset Performance Management space, we need to supply an edge solution that impacts both on-premise and data transmission to the cloud. Our current edge solutions are relatively simplistic, but as our technologies mature along with our customers’ needs, we’re finding that we need to grasp a more fog computing-based approach where we include more intelligence, more computing power, at the edge. Along with this computative power, we need to better remotely manage these systems – to be able to monitor progress and diagnose problems – a technology that would enable us to containerize, to better manage, our software bundlings and deployments.
We found that Windows Docker seemed to fit the bill -- much of the technologies that live at our edge solutions are Windows OS based (as the customers’ main platforms are Windows OS based). This presentation reviews the approach that we took to repackage one of our main APM on-premise solutions using Windows Docker. We’ve created a prototype which we’re looking forward to productize and enable the capability of remote management to thousands of deployments.
The presentation also contains a video demo of the running system. The on-prem APM system will demonstrate the usage of Docker networking along with docker volumes and three (3) docker containers – will discuss the construction of the images, and nuances, of execution of the running docker containers.
Using Docker for GPU-accelerated Applications by Felix Abecassis and Jonathan...Docker, Inc.
In addition of being used for visualization, the highly parallel architecture of GPUs also make them a natural fit for accelerating data-parallel and throughput oriented computations such as machine learning or numerical simulations. When GPUs applications are deployed inside data centers they suffer from the same packaging issues as CPU applications, aggravated by a strong need to get reproducible performance results.
The Docker ecosystem is mostly CPU-centric and aims to be hardware-agnostic. This is not the case for GPUs applications since specialized hardware and a specific kernel device driver are now required. We will show how we reconciled those seemingly opposed requirements to enable containerization and execution of GPU applications with Docker.
Automated hardware testing using docker for spaceDocker, Inc.
Two things are for certain – space is hard, and Docker is not just for web content! Space software development traditionally lags behind state of the art software process for good reason – our missions are long (7+ years), we run on highly constrained embedded hardware, and the software cannot fail. Docker, along with a devops mentality, has helped us create a scalable, parallelizable and rapidly deployable test infrastructure for DART, NASA’s mission to hit an asteroid at 6 km/s.
During the presentation, we will walk through how our dev cycle has changed from a human based testing system to an automated one. We will outline how we are using Docker (and NASA Goddard’s Core Flight Executive) for both our embedded development environment and our scalable test environment. Next, we will discuss what deployment means to us (and how different it is from web deployment). Lastly, we will explore lessons learned on how our hardware-centric testing approach was adapted into a software-based approach: what worked, what didn’t, what we wish we could do someday.
How can you help? We are new to Docker. We are excited to share our experiences and hear from the Docker community on our use cases, technological hurdles that we faced, our solutions to these problems, and how we can harness Docker to the fullest extent.
Activision's Skypilot: Delivering Amazing Game Experiences Through Containeri...Docker, Inc.
"Technologies that are going to affect our lives in the next decade are being tested and developed in the video game sphere." In January 2016 Activision approved a pilot project to build a containerised continuous delivery pipeline using Docker. This project spanned multiple devops teams and would culminate in launching a production title "Skylanders Imaginators" in October 2016. The Mission Statement : “Our mission is to deliver an amazing build, test and deploy pipeline that aims to be so reliable, effective and easy to use that our product and title departments will end up writing high value gaming services all day long without giving a second thought to how they may reliably deliver these in record time.” This talk will discuss the cultural and technical challenges faced throughout the pilot. Spoiler alert: Not everyone was happy with the decision to use Docker. The talk will cover the concerns and how we handled them. It will cover why it is important, especially in the games industry, to be evaluating and integrating technologies like Docker in order to remain relevant. For the first time in Demonware history developers were responsible for the launch and support of a title. We are also the first studio under Activision to be running Docker in Production.
Docker for developers on mac and windowsDocker, Inc.
The whole Docker ecosystem exists today because of every single developer who found ways of using Docker to improve how they build software; whether streamlining production deployments, speeding up continuous integration systems or standing up an application on your laptop to hack on. In this talk we want to take a step back and look at where Docker sits today from the software developers point of view - and then jump ahead and talk about where it might go in the future. In this talk, we’ll discuss:
* Making Docker an everyday part of the developing software on the desktop, with Docker for Windows and Docker for Mac
* Docker Compose, and the future of describing applications as code
* How Docker provides the best tools for developing applications destined to run on any Kubernetes cluster
This session should be of interest to anyone who writes software; from people who want to hack on a few personal projects, to polyglot open source programmers and to professional developers working in tightly controlled environments. Everyone deserves a better developer experience.
DockerCon EU 2015: Placing a container on a train at 200mphDocker, Inc.
Presented by Casper S. Jensen, Software Engineer, Uber
At Uber, we've been introducing Docker to give service owners more control over their environments. However, everything at Uber is moving very fast so we have had to do it a way such that Docker fitted into the existing infrastructure and services could be migrated seamlessly to Docker without any service interruptions. In this talk we will talk about the challenges we faced while doing this, such as handling both non-Docker and Docker builds, image replication, integration with our deployment systems and other challenges when deploying Docker at scale.
About 94% of AI Adopters are planning to use containers in the next 1 year. What’s driving this exponential growth? Faster time to deployment and Faster AI workload processing are the two major reasons. You can use GPUs in big data applications such as machine learning, data analytics, and genome sequencing. Docker containerization makes it easier for you to package and distribute applications. You can enable GPU support when using YARN on Docker containers. In this talk, I will demonstrate how Docker accelerates the AI workload development and deployment over the IoT Edge devices in efficient manner
DCEU 18: Docker Containers in a Serverless WorldDocker, Inc.
Jules Testard - Software Engineer, Docker Inc
Since the advent of AWS Lambda in 2014, the Function as a Service (FaaS) programming paradigm has gained a lot of traction in the cloud community. Since then, interest has increased for developers and entreprises to build their own open source solutions on top of Kubernetes. A number of competing frameworks in this space have been developed. In this talk, we will look at three specific frameworks (OpenFaas, Nuclio and FN) and for each framework we will: Show how to create, deploy, and invoke a function using that framework Show how Docker images and containers are used by each framework under the hood Investigate how the frameworks leverage KNative to build, ship and run applications on Kubernetes
containerd the universal container runtimeDocker, Inc.
containerd is an industry-standard core container runtime with an emphasis on simplicity, robustness and portability. It is available as a daemon for Linux and Windows, which can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments, etc..
containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.
containerd includes a daemon exposing gRPC API over a local UNIX socket. The API is a low-level one designed for higher layers to wrap and extend. It also includes a barebone CLI (ctr) designed specifically for development and debugging purpose. It uses runC to run containers according to the OCI specification. The code can be found on GitHub, and here are the contribution guidelines.
containerd is based on the Docker Engine’s core container runtime to benefit from its maturity and existing contributors.
The Fairy Tale of the One Command Build ScriptDocker, Inc.
Do you have this build script that with a single command builds your software? Does this still apply on a brand new PC?
This presentation takes you on the journey to construct complex build environments using Docker. The journey follows our lessons learned and experiences going from hand crafted to Dockerized build environments. We will look at different patterns to build modular containers, ways to chain containers and the specialties of Windows containers.
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
It takes a Village to do the Impossible - Jeff LindsayDocker, Inc.
From one of the most quietly prolific open source developers in the Docker ecosystem comes an exciting new open source tool unlike anything you've seen before. And while that's probably true,it's actually quite mundane in his grand scheme. A two part talk starting with a demo, and then a sampling of what's to come and how you can be a part of it.
Slides from the talk given to the Startup Berlin Slack Group that demonstrates how TruckIN is implementing its continuous delivery workflow using technologies and open-source tools.
Topics that are covered: Automated Cloud Provisioning (Network, Subnets, VMs, Kubernetes Cluster, Firewall, Disks, Credentials, Private Docker Registry); Configuration Management (Salt Stack), Continuous Integration (Jenkins CI), Continuous Delivery/Deployment (Salt API/Reactor + Kubernetes) to a Google Cloud Kubernetes Cluster, Remote Application Debugging, Managing Google Cloud Kubernetes Cluster, Logging, Monitoring and ChatOps (Slack and operable.io)
Hybrid and multicloud deployments are critical approaches for bridging the gap between legacy and modern architectures. Sandeep Parikh discusses common patterns for creating scalable cross-environment deployments using Kubernetes and explores best practices and repeatable patterns for leveraging Kubernetes as a consistent abstraction layer across multiple environments.
DevOps with Azure, Kubernetes, and Helm WebinarCodefresh
Watch the webinar here: https://codefresh.io/devops-azure-kubernetes-helm-lp/
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
In this webinar, we will show you how you can use standard DevOps practices such as IaC, CI/CD, automated release and more in conjunction with Kubernetes (AKS) and Helm.
Denodo in the Age of Containers: How to Simplify Operation of your Virtual LayerDenodo
Watch full webinar here: https://bit.ly/2ZDzkta
Traditional operational tasks like installation, version upgrades, infrastructure scaling and cluster management has been radically transformed with the advent of cloud platforms, containers and orchestration systems. Denodo can take advantage of these environments to create an environment where infrastructure management is a thing of the past, with the goal of reducing operating costs and operating in a much more elastic fashion.
Attend this session to learn:
- What are the new capabilities of Denodo 8 to manage your entire deployment.
- Infrastructure management in AWS and Azure.
- How to use Denodo in a Docker + Kubernetes environment.
.NET Fest 2019. Alex Thissen. Architecting .NET solutions in a Docker ecosystemNETFest
You must have noticed how Docker and containers is playing a more and more important part in .NET development. Docker support is everywhere, so it should be easy to build solutions based on container technology, right? But, it takes a bit more to architect and create a .NET solution that use Docker at its core. Many questions arise: How do you design a solution architecture that fits well with containers? Would I use .NET or .NET Core? What is a proper way to migrate to such an architecture? What changes in the .NET implementation from pre-Docker solutions with micro-services? Where do container orchestrators fit in and how do I build and deploy my solutions on a Docker container cluster, such as Azure Kubernetes Service?
These and many other questions will be answered in this session. You will learn how to design and architect your .NET solutions and get a flying start to create, build and run Docker-based containerized applications.
Slides of Kubernetes Athens Meetup vol3 - Unikernels An alternative OS Archit...Nikos Zois
This presentation is a part of Kubernetes meetup vol3 @ Athens.
At the very beggining we explain how we manage until now to come closer to the virtual hardware, removing possible duplication layers, that appear between the hypervisor and the Virtual Machine. An alternative solution removing duplication layers is Unikernels. Having small sized VM including only hypervisor libraries and our application in the same level (kernel), we build a Custom Virtual Machine targeting smaller footprint, reduced latency and better security. Next we explain very fast the OSv unikernel that allow us to compose a linux service built as shared object within the unikernel. Finnally we see a benchmark of a Redis Cluster that is running on OSv unikernels.
Service Fabric is the foundational technology powering core Azure infrastructure and large-scale Microsoft services such as Azure Cosmos DB, Azure SQL Database, Dynamics 365, and Cortana. Come to this session for a developer’s tour and dives into the latest and greatest of Service Fabric capabilities, including containers, low-latency data processing, .NET Core 2.0 and VS 2017 integration. We are also going to immerse you with our future roadmap that makes building containerized microservice applications much easier.
Join our webinar on dealing with too many automation tools and platforms, and how the newest Cloudify 5.1 release brings in the Orchestrator of Orchestrators and how this helps.
Microsoft Techsummit Zurich Docker and MicrosoftPatrick Chanezon
Docker and Microsoft have been collaborating both in open source and through their commercial partnership to bring the benefits of Docker Windows and Linux containers to Azure Enterprise customers. Docker’s container platform, Docker Enterprise Edition, is used to modernize traditioal applications, and move them to Azure, as well as to develop new cloud native applications using microservices architecture, bringing agility to developers and control to IT Pros. This talk will cover the latest developments in Docker’s container platform with planned support for Kubernetes in Docker for Windows, and Docker Enterprise Edition for Azure, Docker for Azure Stack to enable hybrid cloud deployments, Windows containers, Linux containers on Windows.
Architecting .NET solutions in a Docker ecosystem - .NET Fest Kyiv 2019Alex Thissen
Conference: .NET Fest 2019
Location: Kyiv, Ukraine
Abstract: You must have noticed how Docker and containers is playing a more and more important part in .NET development. Docker support is everywhere, so it should be easy to build solutions based on container technology, right? But, it takes a bit more to architect and create a .NET solution that use Docker at its core. Many questions arise: How do you design a solution architecture that fits well with containers? Would I use .NET or .NET Core? What is a proper way to migrate to such an architecture? What changes in the .NET implementation from pre-Docker solutions with micro-services? Where do container orchestrators fit in and how do I build and deploy my solutions on a Docker container cluster, such as Azure Kubernetes Service?
These and many other questions will be answered in this session. You will learn how to design and architect your .NET solutions and get a flying start to create, build and run Docker-based containerized applications.
Containerize Your Game Server for the Best Multiplayer Experience Docker, Inc.
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.
How to Improve Your Image Builds Using Advance Docker BuildDocker, Inc.
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.
Build & Deploy Multi-Container Applications to AWSDocker, Inc.
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.
Securing Your Containerized Applications with NGINXDocker, Inc.
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.
How To Build and Run Node Apps with Docker and ComposeDocker, Inc.
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.
Jessica Deen, Microsoft -
Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.
Distributed Deep Learning with Docker at SalesforceDocker, Inc.
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.
The First 10M Pulls: Building The Official Curl Image for Docker HubDocker, Inc.
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.
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.
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...Docker, Inc.
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.
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.
Become a Docker Power User With Microsoft Visual Studio CodeDocker, Inc.
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.
How to Use Mirroring and Caching to Optimize your Container RegistryDocker, Inc.
Brandon Mitchell, Boxboat + Docker Captain -
How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.
Monolithic to Microservices + Docker = SDLC on Steroids!Docker, Inc.
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.
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.
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.
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment ModelDocker, Inc.
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.
Build & Deploy Multi-Container Applications to AWSDocker, Inc.
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.
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...Docker, Inc.
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.
Developing with Docker for the Arm ArchitectureDocker, Inc.
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.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Competition and Regulation in Professional Services – KLEINER – June 2024 OEC...
Gordon's secret session kubernetes on windows
1. Deep Debroy
Software Engineer, Docker Inc.
Kubernetes on Windows
with Docker EE
Taylor Brown
Principal PM Manager, Microsoft
@taylorb_msft
2. Docker EE offers lots of choice
Operating
Systems
[Windows, Linux]
CPU
Architectures
[x86, Mainframe]
Languages
[java, .Net, python, ...]
Environments
[cloud, bare-metal, edge]
Plugins
[storage, networking, logging]
Orchestrators
[swarm, kubernetes]
Software
Architectures
[microservices, monolithic]
3. Why Kubernetes on Docker EE?
Gain operational agility with simplified and secure cluster management
❏Use Kubernetes and Swarm interchangeably
❏Secure application zones with RBAC and resource collections
Build a secure software supply chain
❏Common “source of truth” across Swarm and Kubernetes
❏Globally consistent
9. Docker EE Architecture
Manager ManagerManager
Worker Worker Worker Worker
Universal Control Plane
Trusted Registry
Data center network fabric
Data center storage fabric
Cloud
Management
12. Kubelet on Windows
Linux Kernel
runC (OCI)
Docker Engine
Docker Shim (CRI)
Kubelet
Windows Kernel
Host Compute Service(s)
Docker Engine
Docker Shim (CRI)
Kubelet
13. Under development
Kubelet on Windows
Linux Kernel
runC (OCI)
Docker Engine
Docker Shim (CRI)
Kubelet
Windows Kernel
Host Compute Service(s)
Docker Engine
Docker Shim (CRI)
Kubelet
Windows Kernel
Host Compute Service(s)
runHCS (OCI)
containerD (CRI)
Kubelet
14. Kubernetes networking architecture
Pod
vNIC
kubelet
CNI module
Pod
vNIC
Pod
vNIC
Pod
vNIC
Pod
vNIC | vEth
IPAM module
iptables
HNS
Cloud Network
Management
Data center network fabric
kube
proxy
HCS Shim
netns
Host
Network
cloud
provider
15. Docker EE Network configuration
Azure Non-Azure
Linux Calico CNI with Azure VNets Calico CNI with IP-IP tunnels
Windows Azure-vnet-CNI with Azure VNets WinCNI, others ...
16. Windows networking architecture
on Azure
Pod
kubelet
HCS shim
HNS + HCS
Azure-VNET-
CNI
WinCNI
vNIC
vSwitch
L2 bridge
pNIC
CNI
Pod
vNIC
kube
proxy
Azure
IPAM
Load balancer configuration
IP Management
17. Kubernetes storage architecture
Pod
kubelet
CSI module
Pod
Host OS stack
Cloud Storage
Management
Data center storage fabric
In-tree
drivers
Host networking stack
Flexvol module
PV PV
PV Claim PV Claim
18. Docker EE storage configuration
for Windows
In-tree FlexVolume
Block AzureDisk (and others) iSCSI
Shared FS AzureFile (and others) SMB
CSI based external modules for Windows coming in the future
19. Logging on Windows
● Traditionally Windows Server apps write to the Windows event log
● Most linux apps/containers log to stdout (or did…)
So what to do?
● Shim or update
● FluentD, Sysdig etc….
20. Metrics on Windows
● Metrics on Windows for containers are mostly the same as Linux
○ i.e. CRI’s report metrics (CPU/Mem…)
● Windows has multiple ways to expose host perf
○ Agents like Prometheus Node Exporter have limited support
21. ● Microsoft and Docker are working together
to enable your dockerized Windows
workloads run while leveraging all the
features of Kubernetes and Docker EE
combined
● Docker EE builds upon the core
infrastructure work done by the
Kubernetes community
● Join the sig-windows group if you’re
interested in Kubernetes on Windows
In Summary