Intro to deploying my Donet Core API with Docker.

Docker is a software platform that allows you to build,test and deploy applications quickly.

• It lets you ship code faster and get a single object that can reliably run anywhere.

• It also occupy less space and very easy to scale up.

It uses Client-Server architecture. Docker packages software into standardized units called Containers that have everything the software needs to run including libraries,system tools, code and runtime.

Docker Host is the machine running the Docker server.

• Docker Client and Server

• Docker Images : is a template with instructions which is used for creating Docker Container. It is built using the Docker File (text file which contains commands for building a Docker Image ) and stored in a Docker Hub or in a repository.

• Docker Container

• Docker Registry : is an open source server-side service used for hosting and distributing images. The default registry of docker is called DOCKER HUB.

• .NET Core SDK (I’m using 2.2)

• Text Editor or IDE (eg. VS CODE or VS STUDIO)

• Docker

• Create a globaljson in the root of the project

dotnet new globaljson

• Select the Dotnet version "2.2.100"

dotnet -- version to see all versions installed

{
  "sdk": {
    "version": "2.2.100"
  }
}

• Create new webapi in the same folder containing the globaljson

dotnet new webapi

• You can build and run to see the project working.

dotnet run

• Access it on locally on http:https://localhost:5000/api/values to view the api.

• Create Dockerfile if it doesn't exist

• Once the Dockerfile is created,run the command below

docker build -t tanacom/myddapi .

Docker Hub ID\Project Name:Version

tanacom here is my Docker Hub ID myddapi is my project name and should always be in lowercase. we omitted the version here.you can should to add it. Place a space and period after the project name always .

Also, you don’t have to provide your Docker Hub ID in the name but it’s useful if you’re pushing it up to the Docker Hub for deployment.

• Type the command below to see your created docker image.

docker images

• Once we have our image created, we just run it with the command below.

docker run -p 8080:80 tanacom/myddapi

Image should now be running as a Container! The only thing of note is the “-p” flag – this is a port-mapping, in this case it’s saying map port 8080 on my PC to port 80 of the container.

So to access the api, we need to use port 8080 as follows:

http:https://localhost:8080/api/values

• To see all running container, run the below command

docker ps

• Install the Docker extension if using VS CODE, you can see running containers and perform tasks on it.

• Run the command below to stop the container in cmd

docker stop <CONTAINER ID>

• Login to Docker Hub if already have account with them.

docker login --username=tanacom

NB: tanacom here is my username.

• Once login, run the Docker push command to push to the Docker Hub

docker push tanacom/myddapi

NB: myddapi here is my project name.

• Go to your Docker Hub to check your project.

Good to go.