# Cloud Containers

In [Docker Primer](/open-source-iot/docker-primer.md), you ran multiple containers on your local machine: a Realtime container that connected to a Redis container. The Redis container is based on the Redis container image on Docker Hub. The Realtime container is built from custom Go code. The Realtime container exposes a web page at <http://localhost:8888> that connects to <http://localhost:888/socket.io> for realtime updates. The protocol used to obtain real time updates is either XHR Polling or WebSockets. The diagram below illustrates the setup:

![](/files/-MFAbTu44K66ThjBlwX6)

In the next section, we will look at running these containers (Redis and Realtime) in a public cloud context. In this book, we will primarily use Microsoft Azure.

## Azure Container Instances

With Azure Container Instances (ACI), Azure provides a simple way to run one or more containers in a container group. Continuing with our socket.io example, we will run the Redis and Realtime containers in such a group.

If you do not have access to an Azure subscription, go to <https://azure.microsoft.com/en-us/free/> to obtain a free account. Simply follow the steps after clicking the Start Free button. When you are done, you will see the portal:

![](/files/-MFAbTu5I0QvND-fRfJg)

Click **+ Create a resource** and then click **Containers**. Container Instances are listed under Kubernetes Service:

![](/files/-MFAbTu6_6c3iG2kyeY6)

The portal is great if you want to run one container. If you want to run multiple containers in a container group, you will need to create a YAML file or an Azure Resource Manager (ARM) template. We will use a YAML file first and then show the corresponding ARM template. Whether you use a YAML file or an ARM template, in both cases you will need to use a command line to submit a deployment task.


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