Gain insights into Docker fundamentals, delve into advanced concepts like database connectivity and Docker Compose, and discover how to monitor and scale services with Docker Swarm.

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Flask_demo_test

add db to container

Exercise

Exercise 2

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Bonus Section - Flask

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Whether you are a DevOps beginner or just a developer who wants to start working with containers, you’re in the right place. Docker is an in-demand technology that you will be exposed to frequently while on the job.

 

Docker is used for setting up, deploying, and running applications, at scale, by containerizing them. More on that later. Docker also provides developers with a consistent environment for product development, and along with Kubernetes, makes managing the development lifecycle a breeze.

 

In this course, you will learn the fundamentals of Docker such as containers, images, and commands. You’ll then progress to more advanced concepts like connecting to a database container and how to simplify workflows with Docker Compose. At the end, you’ll learn how to monitor clusters and scale Docker services with Swarm.

Working with Containers: Docker & Docker Compose

As a developer, these services will definitely excite you. Although we are only covering the fundamentals of Docker swarm and not in-depth networking and deployment, it will feel like an advanced thing to you.

That's alright. Now, we are going to see our swarm cluster. The image we are going to use for our cluster visualization is [dockersamples/docker-swarm-visualizer](https://github.com/dockersamples/docker-swarm-visualizer).

# Running on Linux

We can deploy this image as an independent container or as a swarm service. To run as a container, follow the steps below.

## Running as a container

Type `$ docker run -it -d -p 8080:8080 -v /var/run/docker.sock:/var/run/docker.sock dockersamples/visualizer`

This will run the container with host port 8080 mapped to the container port 8080.

## Running as a service

To run a visualizer as a service on swarm node, type,
`docker service create   --name=viz   --publish=8080:8080/tcp   --constraint=node.role==manager   --mount=type=bind,src=/var/run/docker.sock,dst=/var/run/docker.sock   dockersamples/visualizer`

Parameters:

- `--publish`: mapping of host and container ports

- `--constraint`: location or name of the node on which the service will be created
- `--mount`: bind Docker socket to container socket to receive all the events from Docker host

This will create the service on the swarm manager node as mentioned in the `constraint` parameter.

Open up a browser and go to `localhost:8080`. You should see something like this:

![](/api/collection/4581872065576960/4866501796429824/page/5610779626700800/image/5786678082928640) 
 



As a developer, these services will definitely excite you. Although we are only covering the fundamentals of Docker swarm and not in-depth networking and deployment, it will feel like an advanced thing to you.

That's alright. Now, we are going to see our swarm cluster. The image we are going to use for our cluster visualization is [dockersamples/docker-swarm-visualizer](https://github.com/dockersamples/docker-swarm-visualizer).

# Running on Linux

We can deploy this image as an independent container or as a swarm service. To run as a container, follow the steps below.

## Running as a container

Type `＄ docker run -it -d -p 8080:8080 -v /var/run/docker.sock:/var/run/docker.sock dockersamples/visualizer`

This will run the container with host port 8080 mapped to the container port 8080.

## Running as a service

To run a visualizer as a service on swarm node, type,
`docker service create   --name=viz   --publish=8080:8080/tcp   --constraint=node.role==manager   --mount=type=bind,src=/var/run/docker.sock,dst=/var/run/docker.sock   dockersamples/visualizer`

Parameters:

- `--publish`: mapping of host and container ports

- `--constraint`: location or name of the node on which the service will be created
- `--mount`: bind Docker socket to container socket to receive all the events from Docker host

This will create the service on the swarm manager node as mentioned in the `constraint` parameter.

Open up a browser and go to `localhost:8080`. You should see something like this:

![](/api/collection/4581872065576960/4866501796429824/page/5610779626700800/image/5786678082928640) 
 



Adding a GUI service to our swarm cluster

Monitoring Clusters Using a Visualizer

Introduction to Course

Why Docker?

Getting Started With Docker

Docker Fundamentals

Automation using Dockerfile

Advance Docker

Introduction to Docker-Compose

Exposure to Docker Swarm

Bonus Section

Monitoring Clusters Using a Visualizer