MUTIPLE CONTAINER INSTACE KITEMATIC INSTALL

MUTIPLE CONTAINER INSTACE KITEMATIC INSTALL

With the ports exposed for our pbm tool, we can then run the command for our dotnet global tool to install Petabridge.Cmd inside our container.

In this case we are exposing the default 9110 port used by pbm as well as TCP port 5054 used by our Akka.Cluster. The EXPOSE command helps us specify which ports can be exposed to the host, although we’ll still need to use port-mapping when starting the Docker container in order for the host network to reach the container. As mentioned earlier we will be running our pbm tool inside of our container which requires us to expose the specific TCP port out to the host machine. If we need to have the ability to communicate with someone or something outside of the Docker network, we will need to specify that we would like to expose a port out to the host machine. app directory is the working directory inside this container.īy default, when a container is created it will not be able to talk to any service outside of the Docker network. bin/Release/netcoreapp2.1/publish/ folder on the host machine that is building the Docker image into the /app folder inside the Docker image itself. This is what the COPY operation does: it copies the binary output from the. This is an important step and it is what will allow our container to run the service we need for our application. We need to assign values to these variables meaningful values whenever we start a container using this image, as we will need them in order to configure in the next section.Īfter we have compiled our application and have our working files ready, we will need to copy these from the host machine to the containers working directory. Next, you will notice that we introduce three environment variables CLUSTER_SEEDS, CLUSTER_IP, AND CLUSTER_PORT- each with their default values. NET Core Global Tool infrastructure in our container so we can install and invoke the Petabridge.Cmd tool for cluster management and monitoring operations in the future. In the first line of our Dockerfile, we are letting Docker know the base image that we will be working on top of will be Microsoft’s dotnet 2.1 sdk image. bin/Release/netcoreapp2.1/publish/ /app # 9110 - Petabridge.Cmd # 5055 - Akka.Cluster EXPOSE 9110 5054 # Install Petabridge.Cmd client RUN dotnet tool install -global pbm # Needed because ENV PATH='$:/root/.dotnet/tools' # RUN pbm help CMD Below you can see the Dockerfile used to build our image:įROM microsoft/dotnet:2.1-sdk AS base WORKDIR /app # should be a comma-delimited list ENV CLUSTER_SEEDS '' ENV CLUSTER_IP '' ENV CLUSTER_PORT '5054' COPY. Let’s take a look at one of the Dockerfiles that we will use in our project and learn what each part does. This will be our starting point to deploying our application using Docker. You can think of an image as an instruction set for a container, which will specify how that container is going to behave and what inputs it requires. To begin working with Docker, we will make use of a Dockerfile to compose an image for each of the services in our application.

Allow us to work with other deployment and orchestration tools like Kubernetes to manage our cluster.Keep a low footprint for our application.Allow us to incrementally version each iteration of our application via Docker image tags.Allow us to easily share our application as compiled Docker images across different environments, host machines, and work stations.Allow us to separate services to easily manage and scale each one individually.Containerizing our application will provide us with the following benefits:

Mutiple container instace kitematic