Docker Tutorial for Beginners 7 - Docker Container Basics | How To Use Docker Run Command

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.

#programmingknowledge #dockertutorial #dockerfordevops #dockerbasiccommands #devopstools #docker

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Docker Tutorial for Beginners 7 - Docker Container Basics | How To Use Docker Run 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

Docker Tutorial for Beginners 7 - Docker Container Basics | How To Use Docker Run Command

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.

#programmingknowledge #dockertutorial #dockerfordevops #dockerbasiccommands #devopstools #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

Jeromy  Lowe

Jeromy Lowe

1599097440

Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials

Mikel  Okuneva

Mikel Okuneva

1602317778

Ever Wondered Why We Use Containers In DevOps?

At some point we’ve all said the words, “But it works on my machine.” It usually happens during testing or when you’re trying to get a new project set up. Sometimes it happens when you pull down changes from an updated branch.

Every machine has different underlying states depending on the operating system, other installed programs, and permissions. Getting a project to run locally could take hours or even days because of weird system issues.

The worst part is that this can also happen in production. If the server is configured differently than what you’re running locally, your changes might not work as you expect and cause problems for users. There’s a way around all of these common issues using containers.

What is a container

A container is a piece of software that packages code and its dependencies so that the application can run in any computing environment. They basically create a little unit that you can put on any operating system and reliably and consistently run the application. You don’t have to worry about any of those underlying system issues creeping in later.

Although containers were already used in Linux for years, they became more popular in recent years. Most of the time when people are talking about containers, they’re referring to Docker containers. These containers are built from images that include all of the dependencies needed to run an application.

When you think of containers, virtual machines might also come to mind. They are very similar, but the big difference is that containers virtualize the operating system instead of the hardware. That’s what makes them so easy to run on all of the operating systems consistently.

What containers have to do with DevOps

Since we know how odd happenings occur when you move code from one computing environment to another, this is also a common issue with moving code to the different environments in our DevOps process. You don’t want to have to deal with system differences between staging and production. That would require more work than it should.

Once you have an artifact built, you should be able to use it in any environment from local to production. That’s the reason we use containers in DevOps. It’s also invaluable when you’re working with microservices. Docker containers used with something like Kubernetes will make it easier for you to handle larger systems with more moving pieces.

#devops #containers #containers-devops #devops-containers #devops-tools #devops-docker #docker #docker-image