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Vocabulario Docker
Docker Image
Docker Container
Docker Engine
Registry Service (Docker Hub or Docker Trusted Registry)
Azure Container Service
Build/CI,
Integrate,
Test
3.
1. Monitor and Diagnose
Outer-Loop
Push
Code
Production
environments
Run, Manage
5.
6.
Container Service
Service Fabric
Batch
App Services
Coming soon
…
…
Code
Run
Validate
Debug
Inner-Loop
CD, Deploy
4.
Visual Studio Team Services
Source Code
Control
(SCC)
2.
Azure
Container
Registry
CI/CD a ACS con Github
Demo
Hands-on
• Install Docker (http://dockr.ly/2oiWxxH)
• docker version
• docker run hello-world
• docker ps -a
• docker images
Hands-on
• Azure account
• Install Azure CLI
• Install Putty
• CI/CD to ACS (http://bit.ly/2ooezgU)
Docker en Azure

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Docker en Azure

Editor's Notes

  1. Let’s take a look at what build, ship run means in a little more detail, but before that we need to level set some Docker vocabulary and commands: Image The static component that represents a on-running applicatoin Containers are derived from images images contain EVERYTHING an application needs to run Should always be built via a Dockerfile (which we’ll talk about in a bit_ Container The standard unit in which the application service resides Package app and dependencies together Isolated from other containers One container per app / service Docker Engine The program that creates, ships and runs containers Deployable on any physical or vm host locally, in datacenters or cloud Communicates with Docker Hub Registry The service that store, distributes and manages container images Receives commands from Docker Client via Engine Access control with public, private repos
  2. Build, Ship, Run – Any App Anywhere – that’s Docker’s slogan But, what does it mean? What it essentially boils down to is that developers can choose whatever language or components they want to build their application – .Net, ASP, Java, Ruby, Redis, etc across both the Linux and Windows ecosystem. They are assured that whatever the code up, will run wherever the Ops team chooses to deploy it – Physical, virtual, or cloud – it makes no difference to Docker. An application written on a developers laptop will run exactly the same on the largest bare metal servers, in the cloud, even on a Raspberry Pi in my den. Move applications seamlessly from dev to test to production.
  3. https://docs.microsoft.com/en-us/azure/container-service/container-service-setup-ci-cd