Deploying Windows Containers with Draft, Helm and Kubernetes
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This document discusses deploying Windows applications using Draft, Helm, and Kubernetes. It provides an overview of working with Windows containers, including requirements for matching kernel versions between build and deploy environments and having the same kernel across the pipeline. It also discusses using Helm to manage Kubernetes applications and Draft to simplify the process for developers. Specific prerequisites and demos are presented for deploying ASP.NET and .NET Core applications on Kubernetes clusters with Windows nodes.
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This document provides an overview of Docker and microservices architecture. It begins with introducing the speaker and their experience with Docker. It then discusses the shift from monolithic to microservices architecture for building applications. Key advantages and disadvantages of monolithic and microservices approaches are outlined. The document dives into details of Docker, including what it is, how it works, and how it compares to virtual machines. Common Docker commands and concepts like images, containers, and Dockerfile are explained. Finally, the document demonstrates building and running Docker containers and microservices using Docker CLI, Docker Compose, and Docker Hub.
Demystifying Docker
This document provides an overview of Docker and how it addresses challenges with traditional monolithic application architectures. It begins with introductions to Docker and microservices architecture. Key points include:
- Docker allows building applications from loosely coupled microservices that can be developed and scaled independently.
- Docker containers leverage resource isolation using process virtualization for improved efficiency over virtual machines.
- The Docker architecture includes images constructed from layered filesystem changes and containers running instances of images.
- Docker Compose and Dockerfiles help define and build multi-container applications and microservices.
Deploying Windows Apps to Kubernetes with Draft and Helm
This document provides an overview and summary of a presentation about deploying Windows applications with Kubernetes, Draft, and Helm. It begins with introductions and disclaimers about the hands-on lab. It then discusses the history of building Kubernetes on Windows and mixed clusters. The presentation demonstrates deploying applications across Windows and Linux nodes using kubectl and shows how to consider Windows-specific aspects like resource limits and node selection. It also covers Helm charts for application deployment and management and using Draft to simplify and automate application development and deployment to Kubernetes.
Introduction to Docker - Vellore Institute of Technology
- The document introduces Docker, including what problem it solves for software development workflows, its key concepts and terminology, and how to use Docker to build, ship, and run containers.
- It compares Docker containers to virtual machines and discusses Docker's build process using Dockerfiles and images composed of layers.
- Hands-on demos are provided for running a first Docker container, building an image with Dockerfile, and using Docker Compose to run multi-container apps.
- Later sections cover Docker Swarm for clustering multiple Docker hosts and running distributed apps across nodes, demonstrated through a Raspberry Pi example.
Developer Experience Cloud Native - From Code Gen to Git Commit without a CI/...
Developing cloud native applications bring in a lot of complexities for developers. Without using tools to compensate these complexities, you will not become very efficient. Additional, cloud developers often suffer a rising frustration, by fighting these problems.
Before I push my code into Git, I want to test different things in my cloud environment. Therefore it is essential to have a fast and easy round trip. A classic round trip starts by writing or generating code, create a Docker image, deploy it into Kubernetes and test or remote debug the application in Docker or in Kubernetes. Without some elementary tools, this round trip will not be very fast or simple and therefore error prone.
This Lab will show you some open source tools, making your live as a developer more easy. Short demos will demonstrate the simple handling of these tools. Starting point is the generation of a MicroProfile and a SpringBoot application. By using the different tools (e.g. Helm, Shell completion, kubectl cp, Ksync, Stern, Kubefwd, Telepresence, …) on these applications, the complete round trip will be shown. Most of these tools can also be used with other programming languages. Every tool works on its own which makes it easy to switch between these tools.
Finally you will get an evaluation of these tools and I will show you an outlook on tools which are more focused on larger developer teams.
My kubernetes toolkit
1. Kubectx and Kubens are utilities that help manage and switch between Kubernetes contexts and namespaces, saving time when working with multiple clusters.
2. Kustomize is a tool for managing Kubernetes manifests and applying patches, making it easier to maintain configurations than templates. It can be used to apply common labels, annotations, and add prefixes to all resource names.
3. Skaffold automates the build, push and deploy pipeline, enabling fast local Kubernetes development. It works with build tools like Docker, Jib, and deploy tools like Helm and Kustomize. It supports profiles for different environments.
Introduction to Docker - VIT Campus
- The document introduces Docker, explaining that it provides standardized packaging for software and dependencies to isolate applications and share the same operating system kernel.
- Key aspects of Docker are discussed, including images which are layered and can be version controlled, containers which start much faster than virtual machines, and Dockerfiles which provide build instructions for images.
- The document demonstrates Docker's build, ship, and run workflow through examples of building a simple image and running a container, as well as using Docker Compose to run multi-container applications like WordPress. It also introduces Docker Swarm for clustering multiple Docker hosts.
Docker All The Things - ASP.NET 4.x and Windows Server Containers
Docker is awesome and there's been a lot of excitement over .NET Core running in Linux containers. But why do older apps have to miss out on the fun? With Windows Server 2016 and Windows Server containers, there's finally a way to dockerize .NET 4.6 apps using the same Docker tools and commands as we're used to on Linux. In this intermediate level talk, I'll give an overview of Docker and Windows Server containers. Then I'll demonstrate different ways to run existing ASP.NET Web API, MVC, and even WebForms applications inside Docker containers.
Docker containers on Windows
This document discusses Docker containers on Windows. It begins by explaining the difference between virtual machines and containers, and the options for container runtimes on Windows like Nano Server and Windows Server Core. It then provides an example of a simple Dockerfile and discusses strategies for reducing image sizes like using a multi-stage Dockerfile. The document also covers using Docker with Visual Studio 2017 and SQL Server, and concludes with contact information for the author.
Docker based-Pipelines with Codefresh
>>WATCH THE WEBINAR HERE: https://codefresh.io/docker-based-pipelines-with-codefresh/
Most people think that Docker adoption means deploying Docker images. In this webinar, we will see the alternative way of adopting Docker in a Continuous Integration Pipeline, by packaging all build tools inside Docker containers. This makes it very easy to use different tool versions on the same build and puts an end to version conflicts in build machines. We will use Codefresh as a CI/CD solution as it fully supports pipelines where each build step is running on its own container image.
Sign up for FREE Codefresh account (120 builds/month) at Codefresh.io/codefresh-signup
Docker based-pipelines
Most people think "adopting containers" means deploying Docker images to production. In practice, adopting containers in the continuous integration process provides visible benefits even if the production environment are VMs.
In this webinar, we will explore this pattern by packaging all build tools inside Docker containers.
Container-based pipelines allow us to create and reuse building blocks to make pipeline creation and management MUCH easier. It's like building with Legos instead of clay.
This not only makes pipeline creation and maintenance much easier, it also solves a myriad of classic CI/CD problems such as:
Putting an end to version conflicts in build machines
Eliminating build machine management in general
Step portability and maintenance
In a very real sense, Docker-based pipelines reflect lessons learned from microservices in CI/CD pipelines. We will share tips and tricks for running these kinds of pipelines while using Codefresh as a CI/CD solution as it fully supports pipelines where each build step is running on its own Docker image.
Drupal 8 - Improving your development workflow
Planning to improve software development workflow for your new project? Get answers to your questions. In this presentation, Malabya of Valuebound will help you learn about the codebase, local development, composer workflow and deployment of a project.
VS Code tools for docker
The document discusses Docker and Kubernetes tools for Visual Studio code. It provides an overview of Docker, how to build Docker images using Dockerfiles, and how to use the Docker extension in VS Code. It also covers developing applications inside Docker containers using the Remote - Containers extension. Finally, it gives a basic introduction to Kubernetes, including nodes, pods, deployments, and services. The presenter demonstrates creating a Dockerfile and deploying to Kubernetes.
A Shift from Monolith to Microservice using Docker
- Docker is a platform for building, shipping and running applications. It allows applications to be quickly assembled from components and eliminates discrepancies between development and production environments.
- Docker provides lightweight containers that allow applications to run in isolated environments called containers without running a full virtual machine. Containers are more portable and use resources more efficiently than virtual machines.
- Docker Swarm allows grouping Docker hosts together into a cluster where containers can be deployed across multiple hosts. It provides features like service discovery, load balancing, failure recovery and rolling updates without a single point of failure.
Docker for a .NET web developer
You have probably heard about Docker, these days it is a popular topic with cloud computing. But what does it take for a .NET developer to start with Docker? And where can you use it? Of course, you can deploy an application to the cloud using Docker. But you can also use Docker very effectively as a support tool when developing or testing. In this session, Maurice de Beijer will show you some of the many opportunities to use Docker.
Developer joy for distributed teams with CodeReady Workspaces | DevNation Tec...
Natale Vinto discusses CodeReady Workspaces, a developer environment tool that runs on OpenShift. It provides containerized developer workspaces that enable coding directly within Kubernetes clusters. Key features include the Eclipse Che IDE, compatibility with VSCode extensions, and use of "devfiles" to define and standardize reproducible developer environments. CodeReady Workspaces aims to improve productivity for remote and distributed teams by reducing setup times and enabling self-service access to development environments.
FEI Bratislava 2017 - Docker
Docker allows developers to package applications and dependencies into standardized units called containers. Containers provide the same isolation as virtual machines but are more lightweight. Docker helps developers build better software by accelerating onboarding, empowering creativity, eliminating environment inconsistencies, and simplifying sharing of applications. Docker products like Docker Engine, Docker Compose, and Docker Machine make it easier to build, ship, and run distributed applications across different environments and platforms.
Introduction to Docker
This document provides an overview of Docker, an open platform for building and distributing applications. It describes Docker as allowing developers to package applications and dependencies into standardized units. It explains how Docker differs from virtual machines by using containers. Some key benefits of Docker include accelerating developer onboarding, eliminating environment inconsistencies, and easily distributing and sharing applications. The document then briefly outlines several Docker products like Engine, Compose, Machine, and Registry before providing examples of common Docker commands and a Dockerfile usage.
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Deploying Windows Apps to Kubernetes with Draft and Helm
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Introduction to Docker - Vellore Institute of Technology
Introduction to Docker - Vellore Institute of Technology
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A Shift from Monolith to Microservice using Docker
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The document appears to be a slide deck about DevOps and open source. Some key points discussed include:
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- 1. @JLDEEN | #deenofdevops Deploying Windows Apps Using Draft, Helm, and Kubernetes JESSICA DEEN AZURE CLOUD ADVOCATE @JLDEEN
- 2. @JLDEEN | #deenofdevops Windows Containers
- 3. @JLDEEN | #deenofdevops Working with Windows containers is special, but still has significant advantages over VMs. “
- 4. @JLDEEN | #deenofdevops Working with Window Containers Containers require matching kernel versions (Some packages are published for multiple versions; use tag you plan to use in production) Kernel needs to be the same across build/deploy The rest of your pipeline can be Linux Nothing special about your Docker Registry
- 6. @JLDEEN | #deenofdevops Working with Window Containers Containers require matching kernel versions (Some packages are published for multiple versions; use tag you plan to use in production) Kernel needs to be the same across build/deploy The rest of your pipeline can be Linux Nothing special about your Docker Registry
- 7. @JLDEEN | #deenofdevops Working with Window Containers Kernel needs to be the same across build/deploy The rest of your pipeline can be Linux Nothing special about your Docker Registry Containers require matching kernel versions (Some packages are published for multiple versions; use tag you plan to use in production)
- 8. @JLDEEN | #deenofdevops Working with Window Containers Kernel needs to be the same across build/deploy The rest of your pipeline can be Linux Nothing special about your Docker Registry Containers require matching kernel versions (Some packages are published for multiple versions; use tag you plan to use in production)
- 9. @JLDEEN | #deenofdevops Virtualization (Windows 10) - You need to use DSv3 or E3 instances for that. - Use docker like you normally would
- 10. @JLDEEN | #deenofdevops Example Screenshot from a DSv3 machine
- 11. @JLDEEN | #deenofdevops Kubernetes Hybrid Clusters Kubernetes Master Linux Agent Pool Windows Agent Pool Node 1 Node 2 Node 1 Node 2
- 12. @JLDEEN | #deenofdevops Helm helps you manage Kubernetes applications — Helm Charts help you define, install, and upgrade even the most complex Kubernetes application. Charts are easy to create, version, share, and publish — so start using Helm and stop the copy-and-paste. https://helm.sh/ @JLDEEN | #deenofdevops
- 13. @JLDEEN | #deenofdevops Works with Helm, but made to simplify the process for developers With just 2 commands, a developer can get started with Cloud Native Applications `draft create` `draft up` https://github.com/Azure/draft @JLDEEN | #deenofdevops
- 14. @JLDEEN | #deenofdevops ● Windows 10 version 1809, Windows Server 2019/1809 or later ● Visual Studio 2017 (any edition) ● .Net Framework 4.7.2 SDK, ASP.Net Targeting Pack for Visual Studio ● Docker ● Windows Draft Pack https://github.com/PatrickLang/fabrikamfiber/tree/helm -2019-mssql-linux ASP .NET Pre-Reqs ASP. NET @JLDEEN | #deenofdevops
- 15. @JLDEEN | #deenofdevops ● .Net Core 2.2 SDK ● Kubernetes cluster with Windows nodes ● A working container registry ○ If you're using Azure ■ Set up ACR ■ Authenticate it to ACR ■ Log in to ACR on your Windows machine ○ Otherwise, use docker login on your Windows machine, and be sure to set up a Kubernetes image pull secret ● Windows Draft Pack https://github.com/PatrickLang/KubernetesForWindowsTutorial/tree /master/DraftWalkthrough .NET Core Pre-Reqs .NET Core @JLDEEN | #deenofdevops
- 16. @JLDEEN | #deenofdevops Demo time!
- 21. @JLDEEN | #deenofdevops Get Involved | Join #windows-sig: https://github.com/kubernetes/community/tree/ master/sig-windows Resources: https://aka.ms/jldeen/wink8s Windows Containers - Call to Action
- 22. @JLDEEN | #deenofdevops Thank you Want to try it yourself? Start a POC today at: Codefresh.io & click on Enterprise Learn more at azure.microsoft.com
Editor's Notes
- A great example of checking tags is ASP Net
- A great example of checking tags is ASP Net
- Windows 10 1903 can build 1803, 1809 and Server 2019 images Windows AKS currently only supports 2019/Windows 1809 so be aware