Docker run image

Docker run image смотреть последние обновления за сегодня на .

Docker Beginner Tutorial 9 - What are Docker Images | How to run Docker Images |


website - 🤍 A dangling image is one that is not tagged and is not referenced by any container. 🤍 FREE tutorials - 🤍 Hi I am Raghav and Today we will learn : 1. What are images 2. How to pull image 3. How to run a container using an image 4. Basic Commands TIPS & TRICKS What are Images Docker Images are templates used to create Docker containers Container is a running instance of image Where are Images Stored Registries (e.g. docker hub) Can be stored locally or remote : docker images help : docker pull image : docker images : docker images -q : docker images -f “dangling=false” : docker images -f “dangling=false” -q : docker run image : docker rmi image : docker rmi -f image : docker inspect : docker history imageName References: 🤍 🤍 #DockerImages #DockerContainers #DockerTutorials #DockerTraining #DevOpsTools #DevOpsTraining #DockerCommands #DockerForBeginners #DockerFreeTutorials #DockerforDevOps DOCKER PLAYLIST 🤍 YOUTUBE PLAYLIST 🤍 YOUTUBE 🤍 FACEBOOK 🤍 TWITTER 🤍 If you like videos on the channel Automation Step by Step, hit the like button and share with others. Click the SUBSCRIBE button and hit the bell icon to keep getting new videos. ONLINE COURSES TO LEARN Visit - 🤍 Follow Youtube - 🤍 Share your knowledge with everyone and, Never Stop Learning Raghav 🤍

Build YOUR OWN Dockerfile, Image, and Container - Docker Tutorial


We spin up all types of containers on my channel in my tutorials but we have yet to build our own custom Docker container image. Today we'll start from scratch with an empty Dockerfile and create, build, and run our very own custom Docker image! We'll learn all the commands that everyone should know when building and maintaining images with Docker. This Docker tutorial is a great way to get started with Docker! ★ Subscribe! 🤍 ★ I'm Live on Twitch 🤍 ★ Get Help in Our Discord Community! 🤍 ★ Subscribe to Techno Tim Talks! 🤍 ★ Documentation found here 🤍 ⚙ Gear Recommendations ⚙ ► 🤍 (Affiliate links may be included in this description. I may receive a small commission at no cost to you.) ♦ Patreon 🤍 ♦ GitHub 🤍 ♦ Twitch 🤍 ♦ Twitter 🤍 ♦ Discord 🤍 ♦ Instagram 🤍 ♦ Facebook 🤍 ♦ TikTok 🤍 00:00 - What is Docker? 00:27 - What is a Container? 01:00 - What is an Image? 01:18 - What are we doing Today? 01:47 - It all starts with a Dockerfile - FROM 03:20 - Environment Variables - ENV 03:51 - COPY Command 04:20 - Source files 05:57 - COPY command destination 06:39 - EXPOSE (You don't need this) 07:17 - CMD Entry point 08:13 - How to Build a Docker image 09:16 - Building image with a tag 09:47 - How create a container 10:47 - See our container running 11:23 - Stopping and starting containers 12:10 - Cleaning up containers and images 12:33 - Dockerignore files (how to ignore files) 13:51 - Docker exec into a container 15:23 - Add file to dockerignore file 16:50 - Other base images 17:52 - Stream Highlight - "Traefik is a series of tubes" #Docker #DockerContainers #Containerization "Switchstep" is from Harris Heller's album Insomnia. 🤍 Thank you for watching!

Learn Docker in 7 Easy Steps - Full Beginner's Tutorial


A complete introduction to Docker. Learn how to Dockerize a Node.js and run manage multiple containers with Docker Compose. 🤍 00:00 What is Docker? 01:54 Installation & Tooling 02:40 Dockerfile 06:06 Build an Image 07:12 Run a Container 08:52 Debugging 09:35 Docker Compose Source code 🤍 Official Docker 🤍 #LearnToCode #Docker Install the quiz app 🤓 iOS 🤍 Android 🤍 Upgrade to Fireship PRO at 🤍 Use code lORhwXd2 for 25% off your first payment. My VS Code Theme - Atom One Dark - vscode-icons - Fira Code Font

Downloading Docker Images and Running them as docker containers


Affiliate Links 🤍 URLS Blog Post 🤍 Docker hub 🤍

Docker : How to build and run image in docker


In this video I discussed about how we can build and run an image in docker. Docker samples github page : 🤍 Dockerfile command reference : 🤍

Docker Tutorial 13: Running custom image


In this video we'll see how you can run a custom image with docker. Don't forget to subscribe and like the video if you enjoyed :) Be a damner, join the coding community: 🤍

Docker Run Image


للاستفسار : فيس بوك : 🤍 لينكد ان : 🤍 Docker (software) From Wikipedia, the free encyclopedia Jump to navigationJump to search This article is about the OS-level virtualization software. For the company, see Docker, Inc. Docker Docker (container engine) logo.svg Original author(s) Solomon Hykes Developer(s) Docker, Inc. Initial release March 20, 2013; 8 years ago[1] Stable release 20.10.7[2][3] Edit this on Wikidata / 2 June 2021; 20 days ago Repository Edit this at Wikidata Written in Go[4] Operating system Linux, Windows, macOS Platform x86-64, ARM, s390x, ppc64le Type OS-level virtualization License Proprietary (Enterprise Edition),[5] Apache License 2.0 (Community Edition) Website Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers.[6] Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels.[7] Because all of the containers share the services of a single operating system kernel, they use fewer resources than virtual machines.[8] The service has both free and premium tiers. The software that hosts the containers is called Docker Engine.[8] It was first started in 2013 and is developed by Docker, Inc.[9] Contents 1 Operation 1.1 Components 1.2 Tools 2 History 2.1 Adoption 3 See also 4 References 5 External links Operation Docker can use different interfaces to access virtualization features of the Linux kernel.[10] Docker can package an application and its dependencies in a virtual container that can run on any Linux, Windows, or macOS computer. This enables the application to run in a variety of locations, such as on-premises, in a public cloud, and/or in a private cloud.[11] When running on Linux, Docker uses the resource isolation features of the Linux kernel (such as cgroups and kernel namespaces) and a union-capable file system (such as OverlayFS)[12] to allow containers to run within a single Linux instance, avoiding the overhead of starting and maintaining virtual machines.[13] Docker on macOS uses a Linux virtual machine to run the containers.[14] Because Docker containers are lightweight, a single server or virtual machine can run several containers simultaneously.[15] A 2018 analysis found that a typical Docker use case involves running eight containers per host, and that a quarter of analyzed organizations run 18 or more per host.[16] The Linux kernel's support for namespaces mostly[17] isolates an application's view of the operating environment, including process trees, network, user IDs and mounted file systems, while the kernel's cgroups provide resource limiting for memory and CPU.[18] Since version 0.9, Docker includes its own component (called "libcontainer") to directly use virtualization facilities provided by the Linux kernel, in addition to using abstracted virtualization interfaces via libvirt, LXC and systemd-nspawn.[19][10][11][20] Docker implements a high-level API to provide lightweight containers that run processes in isolation.[21] Components The Docker software as a service offering consists of three components: Software: The Docker daemon, called dockerd, is a persistent process that manages Docker containers and handles container objects. The daemon listens for requests sent via the Docker Engine API.[22][23] The Docker client program, called docker, provides a command-line interface, CLI, that allows users to interact with Docker daemons.[22][24] Objects: Docker objects are various entities used to assemble an application in Docker. The main classes of Docker objects are images, containers, and services.[22] A Docker container is a standardized, encapsulated environment that runs applications.[25] A container is managed using the Docker API or CLI.[22] A Docker image is a read-only template used to build containers. Images are used to store and ship applications.[22] A Docker service allows containers to be scaled across multiple Docker daemons. The result is known as a swarm, a set of cooperating daemons that communicate through the Docker API.[22] Registries: A Docker registry is a repository for Docker images. Docker clients connect to registries to download ("pull") images for use or upload ("push") images that they have built. Registries can be public or private. Two main public registries are Docker Hub and Docker Cloud. Docker Hub is the default registry where Docker looks for images.[22][26] Docker registries also allow the creation of notifications based on events.[27] Tools Docker Compose is a tool for defining and running multi-container Docker applications.[28] It uses YAML files to configure the application's services

How to Use Jenkins to Build and Run an Image Using Docker


Timecodes ⏱: 0:00 Intro 0:38 Follow along instructions 1:17 Docker "Hello There" 2:42 Build the image using Docker 3:14 Run the image 3:34 A more practical image 4:26 A better "Hello There" 4:57 More image changes 6:24 Using images for easier application deployment 6:57 Closing 🤍 Refer to the 4 branches for each of the sections: 🤍 🤍 🤍 🤍 How to Install Jenkins on CentOS 7 Using Ansible and JCasC 🤍 ✅ CloudBees on Twitter: 🤍 ✅ Darin on Twitter: 🤍

Build a Docker image and run a custom script


In this short video I show you how you can build your own Docker image, copy a custom script into the container and execute it. I am using a Python script in the demo. If you would like to learn more about building Docker images, you can read more here: 🤍

Docker - Create an image from a running container


In this demo I show you how you can create a new docker image from a running container. This is helpful if you are making changes to a running container when testing changes.

How to run and manage docker container using pre existing images | Docker tutorial


Welcome to dwbiadda docker tutorial for beginners, as part of this lecture/tutorial we will see, How to run and manage docker container using pre existing images. Please download code from below github link 🤍

you need to learn Docker RIGHT NOW!! // Docker Containers 101


Create a Docker Container on Linode right now w/ $100 credit: 🤍 *Sponsored by Linode ➡️Checkout ALL my training at CBT Nuggets: 🤍 0:55 ⏩ What is a Virtual Machine? 4:12 ⏩ What is Docker? 6:41 ⏩ FREE DOCKER LAB 16:50 ⏩ Why Docker? FREE Docker lab on Linode: ($20 credit): 🤍 Download SolarPutty: 🤍 Learn how to create your own Docker Containers: Create Docker Containers in WINDOWS!!!: Some awesome books on Docker: Docker Deep Dive: 🤍 Docker up and Running: 🤍 ➡️Support NetworkChuck: 🤍 ➡️Need help? Join the community: 🤍 Below you will find what are known as affiliate links. Basically, links to really great stuff I use that, if you buy, I will receive a super small kickback that helps support this channel. Thanks!! (GEAR I USE...STUFF I RECOMMEND) Amazon Affiliate Store: 🤍 Buy a Raspberry Pi: 🤍 🤝🤝🤝JOIN THE Cisco Routing and Switching FACEBOOK STUDY GROUP: 🤍 🤝🤝🤝JOIN THE CCNA/CCNP Collaboration FACEBOOK STUDY GROUP: 🤍 mcsa vcp mcse ine mta tshoot 300-135 az-900 az 900 az900 Microsoft Azure Devnet Associate Cisco Devnet Associate CCNP Enterprise CCNP Security CCNP Data Center CCNP Service Provider CCNP Collaboration Cisco Certified Devnet Professional Cisco Certified Network Professional CompTIA Linux+ Linux+ Ethical Hacking Hacking #docker #dockercontainers

Docker Tutorial - Docker Container Tutorial for Beginners


In this Docker tutorial for beginners, we're going to be running our first Docker container in production. You'll get to see just how fast, easy, and STABLE it is to use Docker for deploying your web applications. We're going to spin up a Digital Ocean server (get $10 free digital ocean credit if you sign up here: 🤍 Then, we're going to run a basic web server container that was built from a Dockerfile. This webserver Docker image can be run on our server as one or more containers. If we had a cluster of Docker machines, we could run many of these containers seamlessly. High-Availability Docker #1: 🤍 - Cluster computing - CoreOS is our solution here. CoreOS allows us to make an expandable cluster of computers so we can add more computers should our application need more power to scale. CoreOS also allows us to run services on any machine in the cluster and they can all communicate with each other. High-Availability Docker #2: 🤍 - Scheduling: we shouldn't manually choose which app runs on which machine - this idea doesn't work at scale. Fleet will be our scheduler that decides where our apps/services run. If a CoreOS machine goes down, fleet will reschedule any services that it was running onto a new machine. High-Availability Docker #3: 🤍 - Service Registration Since we never know what ip address or port a service will be running on, we need to register that service so other services can find it and communicate with it. We'll use Etcd and Flannel for this High-Availability Docker #4: 🤍 - Service Discovery: Now that services have registered, we can discover them and load balance between them with a generic docker nginx container High-Availability Docker #5: 🤍 - Public DNS: Once the app is working, we need a fixed way for the outside world to access it. We'll use Nginx and Confd for this. Confd will watch Etcd for service registration and when services come/go, it will build a new configuration file for Nginx and reload Nginx. -~-~~-~~~-~~-~- Also watch: "Responsive Design Tutorial - Tips for making web sites look great on any device" 🤍 -~-~~-~~~-~~-~-

What is Dockerfile | How to create and build Dockerfile | Dockerfile Basic Commands


All FREE courses - 🤍 Today we will learn : 1. What is Dockerfile 2. How to create Dockerfile 3. How to build image from Dockerfile 4. Basic Commands TIPS & TRICKS Dockerfile : A text file with instructions to build image Automation of Docker Image Creation FROM RUN CMD Step 1 : Create a file named Dockerfile Step 2 : Add instructions in Dockerfile Step 3 : Build dockerfile to create image Step 4 : Run image to create container COMMANDS : docker build : docker build -t ImageName:Tag directoryOfDocekrfile : docker run image References: 🤍 🤍 🤍 _ #DockerImages #DockerContainers #DockerTutorials #DockerTraining #DevOpsTools #DevOpsTraining #DockerCommands #DockerForBeginners #DockerFreeTutorials #DockerforDevOps DOCKER PLAYLIST 🤍 YOUTUBE PLAYLIST 🤍 YOUTUBE 🤍 FACEBOOK 🤍 TWITTER 🤍 _ ONLINE COURSES TO LEARN Visit - 🤍 If you like videos on the channel Automation Step by Step, hit the like button and share with others. Click the SUBSCRIBE button and hit the bell icon to keep getting new videos. Follow Youtube - 🤍 Share your knowledge with everyone and, Never Stop Learning Raghav

Create and run docker image from scratch (


This video shows how you can create a docker image of your own application, in this case, a simple C Hello World app and run it.

What Is Docker? | What Is Docker And How It Works? | Docker Tutorial For Beginners | Simplilearn


🔥 Enrol for FREE DevOps Course & Get your Completion Certificate: 🤍 This Docker tutorial will help you understand DevOps tools, what is Docker, how does a Docker work and components of Docker. Docker is a tool which is used to automate the deployment of the application in lightweight containers so that applications can work efficiently in different environments. A container is a software package that consists of all the dependencies required to run an application. Until now we have been running applications on virtual machines. Every virtual machine used to be the base of our application but now with the advent of Docker and containerization technologies each application is run in a container like logical space. Now, let us get started and understand Docker platform and how learn how to create and use containers. Start learning today's most in-demand skills for FREE. Visit us at 🤍 Choose over 300 in-demand skills and get access to 1000+ hours of video content for FREE in various technologies like Data Science, Cybersecurity, Project Management & Leadership, Digital Marketing, and much more. Below topics are explained in this Docker tutorial: 1. DevOps and its tools 2. What is Docker? 3. How does Docker work? 4. What are the components of Docker? To learn more about DevOps, subscribe to our YouTube channel: 🤍 You can also go through the Slides here: 🤍 Watch more videos on DevOps: 🤍 #DevOps #DevOpsTutorial #DevOpsTraining #DevOpsTools #Chef #Jenkins #Puppet #Simplilearn Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become en expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today. Why learn DevOps? Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands on and interactive approach. The Devops training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age. After completing the DevOps training course you will achieve hands on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are: An understanding of DevOps and the modern DevOps toolsets The ability to automate all aspects of a modern code delivery and deployment pipeline using: 1. Source code management tools 2. Build tools 3. Test automation tools 4. Containerization through Docker 5. Configuration management tools 6. Monitoring tools Who should take this course? DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on but have the second-highest talent deficit. 1. This DevOps training course will be of benefit the following professional roles: 2. Software Developers 3. Technical Project Managers 4. Architects 5. Operations Support 6. Deployment engineers 7. IT managers 8. Development managers Learn more at: 🤍 For more updates on courses and tips follow us on: - Facebook: 🤍 - Twitter: 🤍 - LinkedIn: 🤍 - Website: 🤍 Get the Android app: 🤍 Get the iOS app: 🤍

Why you no longer need a Dockerfile in .NET 7


Until the 28th of Nov 2022 use discount code BF2022 for up to 25% off at: 🤍 Become a Patreon and get source code access: 🤍 Hello everybody I'm Nick and in this video I will show you the Docker related updated that Microsoft added in the .NET 7 SDK. You no longer need a Dockerfile to specify how your project should be built. Don't forget to comment, like and subscribe :) Social Media: Follow me on GitHub: 🤍 Follow me on Twitter: 🤍 Connect on LinkedIn: 🤍 Keep coding merch: 🤍 #csharp #dotnet #docke

Docker Tutorial | How To Run Multiple Containers Of The Same Image & Expose Different Ports


Don't forget to subscribe! In this Docker tutorial, you will learn to run multiple containers of the same image and expose different ports. Running multiple docker containers from a single image and exposing each on a different port has many uses. For example, it is helpful to distribute a workload on a single. The technique is also commonly used for divergent versions of the same image, where configuration settings can change independently. Join our community for more projects. Sign up for free! 🤍 Subscribe to our YouTube channel for more projects. 🤍 Learn how to build products by practicing with our free projects on 🤍

Running Docker Image Security Scan on Local Machine with Snyk


This DEVscoOPS episode shows how to run security and vulnerability scan on docker images on your local machine using docker. You will need to have accounts for the following to be able to perform the local scan: - Docker: 🤍 - Snyk: 🤍 (you need to use your docker hub ID to sign up for this) #docker #scan #applicationsecurity #snyk

Deploying Docker Images to Google Cloud Run


In this tutorial, I made a demo of how I deployed a Ghost Blog on Google Cloud Run using its Docker Image from Docker Hub. I also made use of Google Container Registry and Cloud Shell. Useful links: Ghost - 🤍 Ghost Docker Image - 🤍 Google Cloud Run - 🤍 Google Container Registry - 🤍 Google Cloud Shell - 🤍 Google Cloud Free Tier - 🤍 FullStackGCP Blog - 🤍

Running our first docker image as Container [DOCKER-HANDS-ON]


Running Image List Running Containers docker ps docker ps -a docker ps -aq Run an Image docker run [OPTIONS] image-name docker run name container-name -p hostport:containerport -d image-name DOCUMENTATION: 🤍

How to create and run a Docker image for your React application


Created and recorded by Aman Chhina. June 2021 1. What we will be doing today. 2. Recap of last video and point to it. 3. Creating our docker file. 4. Creating our dockerignore file. 5. Building our image. 6. Running our image on the specified port and local volume storage. 7. Summary. How and Why To Install Docker - 🤍 How to Install Your First React Application - 🤍 In my last video we went over how to install Docker and the benefits of using it, so if you have not watched that yet I will leave a link to it in the description below. To recap quickly we want to have the Docker desktop application installed that you see in front of you here, and the reason we want to use Docker is to containerize our applications so that we can streamline the build process and ensure they run as expected in different environments. Again, if you would like to hear in more detail for this please check out my last video. Before we begin to containerize our application, we need an application. So let us start by creating a react app using `npx creapte-react-app`, if you want to get more familiar with this. Please watch one of my previous videos in which I show you how to create your first react application. You can find the link to that in description below. Okay now that we have setup our react application, let's go inside the project folder and open it in our IDE. We can start the application by running `yarn start`. If we now open the browser to localhost 3000 we can see our application running. Let us now move this application to a docker container. We first start by creating a dockerfile. In this file we will create our docker container layer by layer, and I mention the layer by layer part becuase if there are any changes then when we rebuild our container only the layers that have a change will be updated and this speeds up the build process significantly. We first define the base image we are going to use, and let us use the widely availble node:current-alpine, in this base image we are installing a very lightweight distro of linux alpine that comes bundled with node, which we need to run our react application. Let us then specify the working directory for our container, which we will use as let us say /app, this is equivalent to if we just were to run `cd app` in our container. Now we copy our package.json and lock file, to our container and then run `yarn install` before copying over all the contents in our project to the container. The reason we do this separately is because of the layers I mentioned earlier. We are less likely to install a new node module frequently, so these layers should not change often and as such we can use a previous cached state and speed up the build process. If we didn't do this then every single time we made a change in the src code we would have to re install all the node modules to update our image. Finally, like we mentioned earlier we copy over all contents of the project into our container and then run the command ['yarn', 'start'] and this will start our react application. So great, if we were to build and run this image we should be able start our container. But before we do that we should have a .dockerignore file in our directory as well and this is again to speed up the build process, we can see here that we're installing all node_modules every time, and we don't need the dockerfile in our container workspace we just need to it to set up our container. This way we can only have essential files in our docker container. So let's get that set up now. Now if we run `docker build -t react-image .`, this will start building our image. Once it's built we can now run it using `docker run -p 3000:3000 react-image`. Once that gets up and running if we go to port 3000 we can see our react application. Note though, if we were to make any changes in our App.js file these won't be reflected in the browser like they normally are with react apps. This is because the container is using the files it had copied over into the container and these do not have the active changes in them yet. To specific a local volume storage while in development we can pass -v volume argument when we run our container. Which would be `-v $(pwd):/src:app/src` and this will mount our src files as the storage volume in place of the app/src files. Now if we make changes in our App.js we should be able to see these changes reflected in browser as well. Let's add a p tag and take a look.. and there we go we can see our active changes and we have now setup docker to use during local development. Just to recap created our docker image, added only the relevant files to the image, and ran our image with a local volume storage so that only those changes were reflected. If you guys found this video helpful please like and subscribe, and tune in next time when I show you how to set up and run multiple containers using docker-compose.

Docker Tutorial #3 - Image laden und Container starten mit "docker container run"


In diesem Docker Tutorial zeige ich euch, wie man ein Image aus der Docker Registry "docker hub" downloaded, um daraus eine laufende Container Instanz zu erzeugen. Weiterhin mache ich euch mit den grundlegenden Docker Kommandos vertraut. Befehle wie "docker container run", "docker images" usw. sind nach dem Tutorial keine Fremdwörter mehr. Auf meiner Webseite (Siehe unten) findest du die Folie zu diesem Video. Downloads: 🤍 Webseite zu Docker: 🤍 Meine Webseite: 🤍

#DOCKER - Docker Container & Images - Run, Start, Stop and Remove


This video briefly demonstrates how to run a docker image by pulling from repository. This Video also demonstrates how to Start, Stop and Remove a container. In the end, this shows how to list the the images downloaded locally and how to remove a downloaded image. This whole video is made based on the "mediawiki" docker official repository. You can find more details about the repository here. 🤍

Ejecutar comandos en contenedores con Docker Run


Como ejecutar comandos adentro de los contenedores con el comando Docker Run → Redes sociales ← Cursos gratis! → 🤍 Facebook → 🤍 Twitter → 🤍 Donar → 🤍 Bienvenidos a JGAITPro el canal de vídeos y cursos gratis sobre Windows Server 2012, Exchange Server 2013, Microsoft Azure, Office 365, Windows 10, Windows 8.1 y más cosas para IT.

Docker Tutorials on Windows: Docker image php.7.4-apache pull and run part2


Docker Tutorials on Windows: Docker image php.7.4-apache pull and run part2 Share, Support, Subscribe!!! Youtube: 🤍 Facebook: 🤍 Blog: 🤍 GitHub: 🤍 Connect with Me: Linkedin: 🤍 Facebook: 🤍 Instagram: 🤍 Twitter: 🤍

The MAGIC of DOCKER! Running docker images and get jupyter, python, and spark without installing it


Docker is super versatile and in my opinion, everybody working in software development and machine learning should know how to use it. In this video, I will be showing how to use Docker to run Jupyter notebooks with Python, spark, and scala. With the things shown in this tutorial, you could build your own small environment for machine learning, deep learning, or every other software development task by using docker... and all without the need of installing everything locally on your machine. _All social media Facebook: 🤍 Twitter: 🤍 Instagram: 🤍 LinkedIn: 🤍 _About the channel Awesome Data science without much math and everything you need to know to deploy your machine learning models! All videos will be easy to follow and I'll try to reduce the complicated mathematical stuff to a minimum because I believe that you don't need to know how a CPU works to be able to operate a PC... GitHub: 🤍 _Equipment Camera: 🤍 Camera lens: 🤍 Audio-Recorder: 🤍 Microphone: 🤍 Light: 🤍

Building Docker Images using Jenkins running as a Docker container | Docker within Docker | DevOps


This tutorial demonstrates how to run Jenkins as Docker container and build Docker images of applications using Jenkins. Building Docker images using Jenkins. Running Jenkins as Docker container. #SpringBoot #Jenkins #Docker #DockerJenkins #JenkinsOnDocker If you liked this video please do subscribe and press the bell icon so that you are notified when I publish any new video. Please feel free to post any questions you might have related to Docker, Jenkins or Spring boot and I would be more than happy to help. Flutter with Spring Boot playlist: 🤍

Docker For Windows | Setting Up Docker On Windows | Docker Tutorial For Beginners | Edureka


Docker Training : 🤍 In this video on Docker For Windows we’ll discuss about one of the most popular DevOps tools, i.e. docker. Docker is one of the best containerization platforms out there and in this video, we’re specifically going to discuss about docker for windows. I’ll be covering the following topics: (01:05) Why use Docker For Windows? (03:17) Prerequisites (04:15) Tools installed with Docker For Windows (05:31) What is Docker? (06:35) Docker Terminologies (09:50) Install Docker For Windows (11:30) Hands-On Download Docker For Windows Installer (Scroll down to Install Docker For Windows, you’ll find a link to download the installer) : 🤍 Docker Commands Video: 🤍 Check our complete DevOps playlist here (includes all the videos mentioned in the video): 🤍 Subscribe to our channel to get video updates. Hit the subscribe button above. 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬- 🔵DevOps Online Training: 🤍 🔵Kubernetes Online Training: 🤍 🔵Docker Online Training: 🤍 🔵AWS Certified DevOps Engineer Online Training: 🤍 🔵Azure DevOps (Az-400) Online Training: 🤍 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐨𝐩𝐬 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🔵DevOps Engineer Masters Program: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🌕 Post Graduate Program in DevOps with Purdue University: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 #DevOpsTools #DevOpsTraining #DevOpsTutorial #Docker - - - - - - - - - - - - - - About the Course Edureka’s DevOps online training is designed to help you master key tools of DevOps lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you: 1. Understand the concepts and necessities of DevOps 2. Understand the need for DevOps and the day-to-day real-life problems it resolves 3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise 4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT 5. Implement automated system update, installations and deployments 6. Learn Virtualization Concepts 7. Configuration deployment and packaging, continuous integration using GIT 8. Fine tune Performance and set-up basic Security for Infrastructure 9. Manage server operations using Code which is popularly known as Infrastructure as a Code 10. Understand the need for and concepts of Monitoring and Logging. Along with the above-mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools: 1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server. 3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master. - - - - - - - - - - - - - - Who should go for this course? DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are: 1. DevOps Architect 2. Automation Engineer 3. Software Tester 4. Security Engineer 5. Integration Specialist 6. Release Manager - - - - - - - - - - - - - - Project Work 1. Host a dummy webpage using Apache Web Server. 2. Write shell script which reports: a) Various system configurations related to the user and the OS. b) Data related to load on the server. c) Top 5 processes with maximum number of threads. d) Sort the services by memory 3. Install Nagios on a VM node for monitoring the various parameter of the VM. - - - - - - - - - - - - - - For more information, please write back to us at sales🤍 or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Building, Pushing and Running Docker images on Google Cloud Platform.


CGP allows us to run docker containers in the cloud. In this video, we will create a Docker image of a python web application using a GCP VM instance. We will push this image to Google container registery , run our image and serve requests to our application. # Docker #GCR #GCP Github repo: 🤍

13 Jenkins Docker - Run Tomcat Docker Image Container


Jenkins Docker - Run Tomcat Docker Image Container

What are docker images | How to run docker images | Docker commands


Docker images are explained in detailed in this video. After this video, you you will have complete understanding about what are docker images and how to run them in a container. This playlist is best for the beginners to have a complete idea about docker, images, containers etc. Please subscribe to the channel by clicking this link - 🤍 Check out my Design Pattern Playlist for other patterns - 🤍 For C# interview question, please see the link below - 🤍 Docker 🤍 Agile Roles and responsibilities of agile architect : 🤍 3 fundamental benefit of Scrum : 🤍 An agile way of thinking software testing : 🤍 Exploratory Testing: An approach to agile testing: 🤍

How to run golang code on docker using docker images


Docker docs - 🤍 Google cloud run reference - 🤍 Google cloud image registry - 🤍

Create Docker Image from a Running Container


In this video, How to Create Docker Image from a Running Container. we will deploy a container #Nginx server, modify it and then create a new image from that running container. Get your link: 🤍 #Docker #Ubuntu #installdocker #Dockerimages

Docker compose Building docker image running container


Building docker image and running container using docker-compose docker-compose.yml version: '3' services: ubuntuwebserver: build: ../apache2docker/ image: "dockcompose/apache2:1.0" container_name: dockercomposeapache2 ports: - "3308:80" Dockerfile FROM ubuntu:latest RUN apt-get update RUN apt-get install -y openssh-server RUN mkdir -p /var/run/sshd RUN mkdir -p /home/dockertest RUN useradd -d /home/dockertest dockertest RUN chown dockertest /home/dockertest RUN echo 'dockertest:P🤍$$w0rd' | chpasswd RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config EXPOSE 22 CMD ["/usr/sbin/sshd" , "-D"] Subscribe this channel to get periodic update Please click this link to subscribe my channel - 🤍 Please visit these play lists as well Docker Fundamentals - 🤍 Linux Basics - 🤍 Linux Tips and Tricks - 🤍 Cloudera Hadoop Administration - 🤍 Cloudera Hadoop 6 - 🤍 Bash Scripting - 🤍 Hortonworks Data Platform3 - 🤍 Hadoop Admin Q&A - 🤍 Hadoop Security - 🤍 HD Insight - 🤍 HDP Administration - 🤍 HDPCA - 🤍 Cloudera Certified Administrator - 🤍 HDP Upgrade - 🤍 Puppet - 🤍 Data Governance - 🤍

Running Images with Docker


This video is part of the Udacity course "Scalable Microservices with Kubernetes". Watch the full course at 🤍

Build First Dockerfile then Docker Image then Run Docker Container | Docker Tutorial in Hindi


In Docker Tutorial in Hindi, I have explained How to make Dockerfile and from Dockerfile make docker image and then run docker container in Hindi. Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and it helps a lot you can also try it! 🤍 How to Make Docker Container from Image: 🤍 Docker Installation for Windows 10 Home and Pro | Docker for Ubuntu: 🤍 Source code & study material: 🤍 Docker Tutorial Playlist: 🤍 ……………………………………………………………………………………………………………………………………………………………. Course Playlists- Machine Learning & Data Science - Beginner to Professional Hands-on Python Course in Hindi: 🤍 Python NumPy Tutorial in Hindi: 🤍 Python Pandas Tutorial in Hindi 🤍 Python Matplotlib Tutorial in Hindi: 🤍 Python Seaborn Tutorial in Hindi: 🤍 Deep Learning Project End to End in Hindi : 🤍 Machine Learning Project in Hindi: 🤍 …………………………………………………………………………………………………………………… For more information: Contact Us: = -Website: 🤍 -Facebook: 🤍 -Instagram: 🤍 -Twitter: 🤍 -LinkedIn: 🤍 -Telegram: 🤍 …………………………………………………………………………………………………………………… #docker #dockerTutorial #IndianAIProduction Disclaimer- Some contents are used for educational purpose under fair use. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. All credit for copyright materiel used in video goes to respected owner.

Dockerfile | Create Dockerfile, Build image, Run build Image | Docker Image | Complete Hands on


Dockerfile references: 🤍 Cheat-sheat : 🤍 🤍

DevOps Project: Build Dockerfile , create image and run container | Git, GitHub, Jenkins & Docker


DevOps Project: Build Dockerfile and run container out of the image | Git, GitHub, Jenkins and Docker | CI/CD automation with Jenkins. Build the Dockerfile, create image and deploy the application into the container. The application used in this project is available in my GitHub Repo, you can clone the repo and start working. Repo: 🤍 #Jenkins #CI #CD #AWS #EC2 #Automation #DevOps #Docker #Container SUBSCRIBE my channel: 🤍 View my other videos:👇 AWS EC2 : 🤍 EC2 WindowsVM : 🤍 EC2 LinuxVM : 🤍 AWS S3 : 🤍 Amazon DynamoDB : 🤍 AWS IAM : 🤍 Project on DevOps : 🤍 Automation - DB Backup on S3 : 🤍 AWS Auto Scaling : 🤍 AWS Load Balancer : 🤍 : FOLLOW ME : Instagram - 🤍 Facebook - 🤍 Twitter - 🤍

Что ищут прямо сейчас на
docker run image MHRise davinci resolve za darmo dark Phonk adobe flash player ٥٢ esim iphone Irish lace Hyaer Phonk flp adobe premiere macos ulm hdrvideo kim seungmin mookie 33대 Inpage error обивка CREMOSO а4