Docker ip code#
Docker ip Pc#
Docker ip plus#
Docker ip windows#

It forwards the exposed port 80 on the container to port 5101 on the Docker host machine (the Linux VM).

Docker ip windows#

The host is currently a Linux VM because it is based on a Docker image for Linux, but you could configure the container to run on a Windows image instead. It exposes port 80 for internal access to the catalog-api service within the Docker host. For example, you could set a different connection string when deploying to production in the final hosts, or by doing it from your CI/CD pipelines in Azure DevOps Services or your preferred DevOps system. This is convenient being able to use this name resolution (internal to the Docker host) will resolve the network address so you don't need to know the internal IP for the containers you are accessing from other containers.Д«ecause the connection string is defined by an environment variable, you could set that variable through a different mechanism and at a different time. The SQL Server name is sqldata, which is the same name used for the container that is running the SQL Server instance for Linux. However, you could also deploy one SQL Server container for each microservice database. Therefore, you need less memory in your development machine for Docker. In this case, the same SQL Server container is holding multiple databases. It defines an environment variable named ConnectionString with the connection string to be used by Entity Framework to access the SQL Server instance that contains the catalog data model. This means that the image must have been previously built (with dockerВ build) or have been downloaded (with the docker pull command) from any Docker registry. For simplicity's sake, there is no build:В key setting in the file. It is based on the custom eshop/catalog-api image. This containerized service has the following basic configuration: Service nameД¬ontainer including the ASP.NET Core MVC application consuming the microservices from server-side C#Д¬ontainer including the Catalog ASP.NET Core Web API microserviceД¬ontainer including the Ordering ASP.NET Core Web API microserviceД¬ontainer running SQL Server for Linux, holding the microservices databasesД¬ontainer with the Basket ASP.NET Core Web API microserviceД¬ontainer running the REDIS cache service, with the basket database as a REDIS cacheДЇocusing on a single container, the catalog-api container-microservice has a straightforward definition: catalog-api: In this case, the docker-compose.yml file has multiple services defined, as described in the following table. Under that key, you define the services you want to deploy and run when you execute the docker-compose up command or when you deploy from Visual Studio by using this docker-compose.yml file. ConnectionString=Server=sqldata Database=Services.OrderingDb User Id=sa Password=

Docker ip Pc#

#extra hosts can be used for standalone SQL Server or services at the dev PC ConnectionString=Server=sqldata Initial Catalog=CatalogData User Id=sa Password= CatalogUrl= - OrderingUrl= - BasketUrl= ports: Instead, it is a simplified and consolidated version in a single file, which is not the best way to work with docker-compose files, as will be explained later.

Docker ip code#

This code is not the actual docker-compose file from eShopOnContainers. The following YAML code is the definition of a possible global but single docker-compose.yml file for the eShopOnContainers sample. Other keys are optional, and are analogous to their docker run command-line counterparts. Therefore, each service defined in docker-compose.yml must specify exactly one image or build.

Otherwise, you would need to use the Docker CLI to deploy container-by-container in multiple steps by using the docker run command from the command line. Once you have a multi-container deployment description file, you can deploy the whole solution in a single action orchestrated by the docker-compose up CLI command, or you can deploy it transparently from Visual Studio.

Docker ip plus#

(Custom Docker images can also be built with the Docker CLI.)Д«asically, you define each of the containers you want to deploy plus certain characteristics for each container deployment. Optionally, you can also describe how you are going to build your custom Docker images.

However, there are additional ways to use the docker-compose files that are worth exploring in further detail.ДЇor example, you can explicitly describe how you want to deploy your multi-container application in the docker-compose.yml file. Define your services in docker-compose.yml when building a multi-container Docker application. In this guide, the docker-compose.yml file was introduced in the section Step 4.