Run multi-container Docker applications with a single command

What is docker?

Docker is a platform to develop, deploy, and run applications inside independent and isolated environments. These environments are then called containers. This will let the developer run a container on any machine.

Simply docker solves the problem of **‘’It works on my machine’’**.

As you can see, with Docker, there are no more dependency or compilation problems. All you have to do is launch your container, and your application will launch immediately.

If you want to learn more about this excellent platform, the “Get Started” section of Docker Docs is a great place to start.


Let’s move onto the topic.

If your application is containing more than one component (multiple containers), how do you manage such a situation easily? It means you need to run those multiple containers separately. How do you manage their network connectivity, volume binding, port binding, etc. from a central point?

When using Docker widely, the management of several different containers quickly becomes cumbersome.

Image for post

Introducing docker-compose

Docker Compose is a tool that helps us overcome this problem and efficiently handle multiple containers at once. Also used to manage several containers at the same time for the same application.

This tool can become very powerful and allow you to deploy applications with complex architectures very quickly.

Image for post

#containerization #docker-compose #dockerfiles #docker-image #docker

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Buddha Community

Run multi-container Docker applications with a single command
Iliana  Welch

Iliana Welch

1597368540

Docker Tutorial for Beginners 8 - Build and Run C++ Applications in a Docker Container

Docker is an open platform that allows use package, develop, run, and ship software applications in different environments using containers.
In this course We will learn How to Write Dockerfiles, Working with the Docker Toolbox, How to Work with the Docker Machine, How to Use Docker Compose to fire up multiple containers, How to Work with Docker Kinematic, Push images to Docker Hub, Pull images from a Docker Registery, Push stacks of servers to Docker Hub.
How to install Docker on Mac.

#docker tutorial #c++ #docker container #docker #docker hub #devopstools

Run multi-container Docker applications with a single command

What is docker?

Docker is a platform to develop, deploy, and run applications inside independent and isolated environments. These environments are then called containers. This will let the developer run a container on any machine.

Simply docker solves the problem of **‘’It works on my machine’’**.

As you can see, with Docker, there are no more dependency or compilation problems. All you have to do is launch your container, and your application will launch immediately.

If you want to learn more about this excellent platform, the “Get Started” section of Docker Docs is a great place to start.


Let’s move onto the topic.

If your application is containing more than one component (multiple containers), how do you manage such a situation easily? It means you need to run those multiple containers separately. How do you manage their network connectivity, volume binding, port binding, etc. from a central point?

When using Docker widely, the management of several different containers quickly becomes cumbersome.

Image for post

Introducing docker-compose

Docker Compose is a tool that helps us overcome this problem and efficiently handle multiple containers at once. Also used to manage several containers at the same time for the same application.

This tool can become very powerful and allow you to deploy applications with complex architectures very quickly.

Image for post

#containerization #docker-compose #dockerfiles #docker-image #docker

Henry Short

Henry Short

1580104680

List all containers in Docker(Docker command)

We can get a list of all containers in docker using docker container list or docker ps commands.

List Docker Containers

To list down docker containers we can use below two commands

  • docker container list
  • docker ps

docker container ls command introduced in docker 1.13 version. In older versions we have to use docker ps command.

List all Containers in docker, using docker ls command

The below command returns a list of all containers in docker.

docker container list -all

or

docker container ls -all

List all containers in docker, using docker ps command

In older version of docker we can use docker ps command to list all containers in docker.

$ docker ps -all

or

$ docker ps -a

List all Running docker containers

The default docker container ls command shows all running docker containers.

$ docker container list

or

$ docker container ls

or

To get list of all running docker containers use the below command

$ docker ps

List all stopped docker containers command

To get list of all stopped containers in docker use the below commands

$ docker container list -f "status=exited"

or

$ docker container ls -f "status=exited"

or you can use docker ps command

$ docker ps -f "status=exited"

List all latest created docker containers

To list out all latest created containers in docker use the below command.

$ docker container list --latest

Show n last created docker containers

To display n last created containers in docker use the below command.

$ docker container list --last=n

#docker #docker-container #docker-command

August  Murray

August Murray

1615008840

Top 24 Docker Commands Explained with Examples

In my previous blog post, I have explained in detail how you can Install Docker and Docker-compose on Ubuntu

In this guide, I have explained the Top 24 Docker Commands with examples.

Make sure you have sudo or root privileges to the system.

Docker Commands

  1. The command to check the version of Docker installed.
  2. To look/search for available docker images from the Docker registry.
  3. To pull docker images from the Docker registry.
  4. Listing all the docker images
  5. Creating / Running docker container from Docker image.
  6. To list the actively running docker containers.
  7. To list all the docker containers
  8. To stop a Container
  9. To start a Container
  10. To restart a Docker container
  11. To login to running Docker container
  12. To delete the stopped Docker containers
  13. To delete Docker images from the Local system
  14. To check logs of a running Docker container
  15. Killing docker containers
  16. Log in to Docker Hub registry (hub.docker.com)
  17. Removing docker hub registry login from the system.
  18. Check active resource usage by each containers
  19. Rename a Docker container
  20. To display system wide information of Docker
  21. Inspecting a Docker container
  22. Building docker images from Docker file
  23. Creating new docker images from a Container
  24. Pushing Docker images from Local to Docker registry.

#docker #docker-command #containers #docker-compose #docker-image

Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market