Docker Plugin for Heat II
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This document discusses Docker plugin for Heat, which allows orchestrating Docker containers with OpenStack Heat templates. It describes how to install the Docker plugin for Heat, provides an example Heat template to launch a WordPress and MySQL stack, and points to the GitHub project page for more information. Users can deploy Docker containers instead of virtual machines through Heat and leverage the full Docker API through Heat templates.
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- A haproxy load balancer, based on the dockercloud/haproxy image, for dynamic configuration.
- Dockerized the locust load testing framework, in order to create fake http requests to the voting page.
- Autoscaling of the voting-app and worker containers. Using the docker remote API, I monitor the CPU usage of the two containers and scale up or down, depending on the threshold. The bottom threshold is 5% and the upper at 30%.
Tyrion Cannister Neural Styles by Dora Korpar and Siphan Bou
Understanding deep learning is a real challenge, and even getting started installing software on your machine is difficult. In creating our Docker "hack", our goal was to try to make the deep learning algorithm Neural Style accessible to everyone by creating a user-friendly GUI that can be launched with one command and that optimizes the entire experience.
Docker 1.11 @ Docker SF Meetup
In this talk, Michal Crosby will present on runC and Containerd, the internals and how they work together to start and manage containers in Docker. Afterwards, Arnaud Porterie will touch on about what was shipped in 1.11 and how it will enable some of the things we are working on for 1.12.
How to Use Your Own Private Registry
This document summarizes a Docker workshop discussing how to set up and use a private Docker registry. It outlines the differences between an index and a registry, and provides instructions for installing a local private registry using Docker or by manually installing dependencies. It then demonstrates how to tag and push images to the private registry, and shows a zero downtime deployment process using the local registry to seamlessly update a running application.
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DockerCon EU 2015: The Glue is the Hard Part: Making a Production-Ready PaaS
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DockerCon EU 2015: What is it we want in containers anyway?
How to Successfully Build a Local Docker Community by Mathias Renner
How to Successfully Build a Local Docker Community by Mathias Renner
DockerCon EU 2015: Monitoring and Managing Dynamic Docker Environments
DockerCon EU 2015: Monitoring and Managing Dynamic Docker Environments
Open source is good for both business and humanity
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The Mushroom Cloud Effect or What Happens When Containers Fail? by Alois Mayr...
The Mushroom Cloud Effect or What Happens When Containers Fail? by Alois Mayr...
Autoscaling Docker Containers by Konstantinos Faliagkas, Docker Birthday #3 A...
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Tyrion Cannister Neural Styles by Dora Korpar and Siphan Bou
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Similar to Docker Plugin for Heat II
Docker in OpenStack
Docker allows developers and sysadmins to build, ship, and run distributed applications. OpenStack supports Docker through the nova Docker driver and Heat Docker plugin. The nova driver implements the OpenStack API to launch and manage Docker containers, while the Heat plugin allows defining Docker containers in orchestration templates. Considerations for Docker in OpenStack include containers being better suited for some use cases than VMs, and lack of full integration between Docker and some OpenStack services like Cinder and Neutron.
Docker with OpenStack
Docker with OpenStack status and use cases at the OpenStackFr Paris meetup
Some part of those slides were inspired by ewindisch presentation at openstack paris summit: http://www.slideshare.net/ewindisch/docker-open-stack-paris
Orchestrating Docker with OpenStack
The Nova driver for Docker has been maturing rapidly since its mainline removal in Icehouse. During the Juno cycle, substantial improvements have been made to the driver, and greater parity has been reached with other virtualization drivers. We will explore these improvements and what they mean to deployers. Eric will additionally showcase deployment scenarios for the deployment of OpenStack itself inside and underneath of Docker for powering traditional VM-based computing, storage, and other cloud services. Finally, users should expect a preview of the planned integration with the new OpenStack Containers Service effort to provide automation of advanced containers functionality and Docker-API semantics inside of an OpenStack cloud.
Note that the included Heat templates are NOT usable. See the linked Heat resources for viable templates and examples.
DockerCon 2016 Seattle Recap
This summarizes the key points from DockerCon 2016 based on a presentation by Philipp Garbe:
1. Docker 1.12 introduced built-in orchestration capabilities including swarm mode, routing mesh, and a new service API for desired state reconciliation and scheduling.
2. Demos showed deploying an app using the new service command, scaling the app, performing rolling updates, and rescheduling tasks after node failures.
3. Other announcements included Docker for Mac/Windows public betas, Docker Store for publishing content, and Docker DataCenter for deploying applications to AWS and Azure.
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Slides of the presentation by Ben Golub and Nick Stinemates. Video can be found here: https://www.youtube.com/watch?v=7VODU7Wr_fI
Application Deployment on Openstack
The document discusses using Docker containers with OpenStack to deploy applications. It begins with an introduction to Docker and its benefits. It then covers adding Docker support to the OpenStack Nova computing controller to deploy containers instead of virtual machines. The remainder demonstrates setting up DevStack to use Docker with OpenStack and shows examples of launching Docker containers through the OpenStack Horizon web interface.
Cicd.pdf
This document discusses using Jenkins and Docker together for continuous integration and continuous delivery (CI/CD) pipelines. It describes how Jenkins can run as Docker containers, build and test Docker images, and integrate with Docker Hub for notifications. Specifically, it outlines how to 1) run Jenkins masters and slaves as Docker containers and 2) build, test, and deploy Docker images from Jenkins pipelines while tracing images back to their source code using fingerprints.
Docker Introduction SDP 12-2015
A Docker intro session i gave on December 2015 SDP Convention
This slide will explain the logic behind docker and why should you use it and replace your old infra with containers
BBL Premiers pas avec Docker
Il s’agit dans un premier temps de présenter Docker, ses cas d’usage et quelques bonnes pratiques d’utilisation.
Le but est de présenter Docker, son mode de fonctionnement et son écosystème.
Ce qu’il peut apporter et les pièges à éviter
https://github.com/kanedafromparis/prez-fabric8-dmp
Cloud foundry integration-with-openstack-and-docker-bangalorecf-meetup
Cloud Foundry Integration with Openstack and Docker. Briefly describes the essential elements for the integration of trios. Covered in a 30 minute session at Bangalore Cloud Foundry Meetup.
Shipping to Server and Cloud with Docker
Why write two add-ons when you can write one and deploy it to both Server and Cloud? Charles Gutjahr from ThinkTilt shares how they brought their Connect add-on to different clouds. Learn how he packaged the add-on in a Docker container to offer it behind the firewall. Hear about the implications for installation, data storage, security, and functionality. By the end of the talk, you'll be able to decide whether Dockerization is the right choice for your add-on.
Charles Gutjahr, Co-Founder and Technology Architect, ThinkTilt
Using Containers for Building and Testing: Docker, Kubernetes and Mesos. FOSD...
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
The Jenkins platform is an example of dynamically scaling by using several Docker cluster and orchestration platforms, using containers to run build agents and jobs, and also isolate job execution.
This talk will cover these main container clusters, outlining the pros and cons, the current state of the art of the technologies and Jenkins support.
The presentation will allow a better understanding of using Docker in the main Docker cluster/orchestration platforms out there (Docker Swarm, Apache Mesos, Kubernetes), sharing my experience and helping people decide which one to use, going through Jenkins examples and current support.
Vagrant + Docker provider [+Puppet]
An on-going presentation for the Docker workshop on how to integrate docker into Vagrant as a provider. In order to remove the requirement of having a VM, and speedup development environments. It also features Puppet as the configuration management system.
The code can be found in: https://github.com/npoggi/vagrant-docker
Orchestrating Docker containers at scale
Many of us already poked around Docker. Let's recap what we know and then think what do we know about scaling apps & whole environments which are Docker - based? Should we PaaS, IaaS or go with bare? Which tools to use on a given scale?
ContainerDayVietnam2016: Dockerize a small business
This document discusses how Docker can transform development and deployment processes for modern applications. It outlines some of the challenges of developing and deploying applications across different environments, and how Docker addresses these challenges through containerization. The document then provides examples of how to dockerize a Rails and Python application, set up an Nginx reverse proxy with Let's Encrypt, and configure a Docker cluster for continuous integration testing.
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.
Docker and CloudStack
- Docker can be integrated with CloudStack in several ways, including running Docker in CloudStack virtual machine guests, packaging CloudStack as Docker containers, and using Docker orchestrators to manage containers.
- CloudStack could potentially be re-architected to run its components in Docker containers and use Docker networking for isolation, with an orchestrator like Mesos or Kubernetes managing the CloudStack application.
- There are open questions around whether CloudStack or other orchestrators should schedule virtual machines or containers as the primary compute resource in a private cloud data center.
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 for developers on mac and windows
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.
Kubernetes for Java Developers
This presentation about Kubernetes, targeted for Java Developers was given for the first time (in French) at the Montreal Java User Group on May 2nd, 2018
Similar to Docker Plugin for Heat II (20)
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
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Cloud foundry integration-with-openstack-and-docker-bangalorecf-meetup
Using Containers for Building and Testing: Docker, Kubernetes and Mesos. FOSD...
Using Containers for Building and Testing: Docker, Kubernetes and Mesos. FOSD...
ContainerDayVietnam2016: Dockerize a small business
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Introduction to Docker - Vellore Institute of Technology
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More from Docker, Inc.
Containerize Your Game Server for the Best Multiplayer Experience
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 Build
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 AWS
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 NGINX
The document summarizes Kevin Jones' presentation on securing containerized applications with NGINX. It discusses the benefits of using a reverse proxy for security, NGINX best practices for TLS configuration, and deploying NGINX in Docker containers. It also provides code examples and configurations for setting up NGINX as a reverse proxy, optimizing TLS, and using NGINX as a sidecar proxy.
How To Build and Run Node Apps with Docker and Compose
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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.
Hands-on Helm
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 Salesforce
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.
Monitoring in a Microservices World
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...
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.
Predicting Space Weather with Docker
The document discusses how NOAA's Space Weather Prediction Center transitioned from a monolithic architecture to microservices using Docker. It describes how they started with a small verification project, then replaced their critical GOES satellite data source. This improved developers' morale and delivery speed. They encountered some security issues initially but learned from them. The transition was very successful and allowed them to quickly expand their mission to forecast aviation impacts using scientists' models packaged as Docker services.
Become a Docker Power User With Microsoft Visual Studio Code
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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.
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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!
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.
Kubernetes at Datadog Scale
Kubernetes networking can be complex to scale due to issues like growing iptables rules, but newer solutions are helping. Pod networking uses CNI plugins like flannel or Calico to assign each pod an IP and allow communication. Service networking uses kube-proxy and iptables or IPVS for load balancing to pods. DNS is used to resolve service names to IPs. While Kubernetes networking brings flexibility, operators must learn the nuances of their specific CNI plugin and issues can arise, but the ecosystem adapts quickly to new needs and changes don't impact all workloads.
Labels, Labels, Labels
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 Model
Micro Focus uses Docker Hub at scale to support its software delivery and deployment model. Some key points:
- Docker Hub is used as the registry service for Micro Focus container images
- It allows for optimized, secure, reliable and cost-effective software delivery through deployments and updates of container images to customers and partners
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- Over 1,650 organizations, 450 repositories, and 18 teams are used on Docker Hub to manage access and deliver software from Micro Focus
Build & Deploy Multi-Container Applications to AWS
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...
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 Architecture
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.
Sharing is Caring: How to Begin Speaking at Conferences
For many, the idea of speaking in front of a bunch of strangers can be enough to prevent you from ever responding to a CFP. But don't let it! Speaking at conferences, meetups, or even at your own company is a fantastic way to share you knowledge, meet others, advance your career, and give back. Whether you are on the fence, have decided to take the plunge and submit a CFP, or have already even a few talks, this session is for you. Drawing on their experience reviewing DockerCon CFPs and prepping speakers (including themselves) for a variety of conferences, Jenny Burcio and Ashlynn Polini will outline tips and strategies for turning your idea into a winning proposal and ultimately a compelling talk. They will share how to submit and prepare for your first - or next - conference talk.
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Containerize Your Game Server for the Best Multiplayer Experience
Containerize Your Game Server for the Best Multiplayer Experience
How to Improve Your Image Builds Using Advance Docker Build
How to Improve Your Image Builds Using Advance Docker Build
Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
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Securing Your Containerized Applications with NGINX
How To Build and Run Node Apps with Docker and Compose
How To Build and Run Node Apps with Docker and Compose
Distributed Deep Learning with Docker at Salesforce
Distributed Deep Learning with Docker at Salesforce
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...
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
Monolithic to Microservices + Docker = SDLC on Steroids!
Monolithic to Microservices + Docker = SDLC on Steroids!
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
Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
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From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
Sharing is Caring: How to Begin Speaking at Conferences
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Docker Plugin for Heat II
- 1. Docker plugin for Heat Orchestrate containers with OpenStack Heat by Sam Alba @sam_alba sam@dotcloud.com Oct 2013
- 2. What is Heat? Oct 2013 “Heat implements an orchestration engine to launch multiple composite cloud applications based on templates.” Source: https://wiki.openstack.org/wiki/Heat
- 3. Docker in OpenStack Havana Oct 2013 Nova supports Docker as a new hypervisor starting with the Havana release ➔ Deploy containers instead of VM with the same API (Nova)
- 4. Why using Heat directly? Oct 2013 ● This is not a replacement to the Nova driver! ● It allows to use the whole Docker API from a Heat template Resources: Blog: Type: OS::Heat::Docker Properties: Image: samalba/wordpress Env: - DB_PORT=42
- 5. How to use it? Oct 2013 1. Install Heat with DevStack: https://wiki.openstack. org/wiki/Heat/GettingStartedUsingDevstack 2. Install the Docker plugin # Clone the repos git clone git@github.com:dotcloud/openstack-heat-docker.git # Link the plugin so Heat can find it ln -sf $(cd openstack-heat-docker/plugin; pwd) /usr/lib/heat/docker
- 6. Demo time! Example with Wordpress+MySQL
- 7. Demo time! Oct 2013 Horizon UI > Orchestration > Stacks
- 8. Demo time! Oct 2013 Configure the Stack (parameters of the Heat template)
- 11. Run it yourself! Oct 2013 Project home page: https://github.com/dotcloud/openstack-heat-docker … and please ask for help: #docker on irc.freenode.org