docker run command and options from running containers
docker-replay can be most easily run using the official image build:
docker run --rm -ti \ -v /var/run/docker.sock:/var/run/docker.sock \ bcicen/docker-replay \ -p <container name or id>
pip install docker-replay
docker-replay -p <container name or id>
docker run --env PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin \ --hostname test \ --interactive \ --tty \ --add-host google.com:127.0.0.1 \ --memory 128m \ --memory-swap 256m \ --memory-swappiness -1 \ --name test \ --expose 80/tcp \ --restart on-failure:0 \ --entrypoint "echo" \ alpine:latest \ hello
|--debug, -d||enable debug output|
|--pretty-print, -p||pretty-print output|
We can get a list of all containers in docker using
docker container list or
docker ps commands.
To list down docker containers we can use below two commands
docker container ls command introduced in docker 1.13 version. In older versions we have to use
docker ps command.
The below command returns a list of all containers in docker.
docker container list -all
docker container ls -all
In older version of docker we can use
docker ps command to list all containers in docker.
$ docker ps -all
$ docker ps -a
The default docker container ls command shows all running docker containers.
$ docker container list
$ docker container ls
To get list of all running docker containers use the below command
$ docker ps
To get list of all stopped containers in docker use the below commands
$ docker container list -f "status=exited"
$ docker container ls -f "status=exited"
or you can use docker ps command
$ docker ps -f "status=exited"
To list out all latest created containers in docker use the below command.
$ docker container list --latest
To display n last created containers in docker use the below command.
$ docker container list --last=n
#docker #docker-container #docker-command
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 #docker-command #containers #docker-compose #docker-image
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.
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.
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
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
As per the official website, a Docker container image is a lightweight, standalone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries, and settings.
And docker container is an instance of the docker image, docker container is a docker image brought to life.
Every docker command can be broken down into 3 parts :
1\. Keyword 'docker' 2\. Main task (start, stop, build, etc). 3\. Options (port, tty, interactive volumes, etc). 4\. Reference to image or container with all the property flags.
Every docker command starts with the ‘docker’ keyword.
2nd part of the command represents the main task which we want to execute on a docker image or on a docker container (like run for running a container, build for building an image, etc).
3rd part includes the extra options like the port number mapping (-p ), interactive communication (-i), tty (-t), volumes (-v), etc. A flag with a single dash (-) is the shortcut for the full name flag like (-p for — port) and a double dash is used for the full name.
4th part is the reference to an image or a container (like the container-id, image-name, image-id, etc).
#docker-image #dockerfiles #docker-command #containers #docker