Upgrade your Docker skills, gain hands-on experience in building, testing, and deploying containers with our best mega-course on Docker.
Live Sessions
MCQs and Assignments
Hands-on Trainings
Whether you are just a DevOps beginner or developer, if you want to learn more about containers, you are in the right place. 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. The easy portability that docker brings simplifies managing applications and deploying them among various organizations.
Did you know, docker optimizations can create over 10,000 Docker containers on a single system! Containers make it easy for the developer to compute an application including all the parts, along with the dependencies and libraries it requires, just in one single package.
This ensures the developer that the application will operate other Linux machines even if the customized settings on the machine vary from the one used to write and test the code on. The current course will familiarize you with the fundamentals of Docker such as containers, images, and commands. Get in-depth knowledge of docker build-up and advanced features, get your hands on the core concepts of Docker and learn the way to containerize data into a single or multiple containers. Perform a range of operations using various tools that promote easy application deployment and facilitate continuous integration. By the end of the course, you will learn to deploy and manage container-based applications on the Cloud.
1. Progressions of
containers
Get a basic knowledge of containers and their uses in docker. The case studies will further introduce you to the benefits of containers.
2. Differences Between –
VMs & Containers
Advancements and progressions of Docker and containers
Perks of Dockers over VMs
Operating Docker commands
3. Components and
Architecture
Enhance your knowledge of Docker Architecture & Docker Components – Docker Client, Docker Host & Docker Registry.
4. Docker Commands
Know all about docker commands that will help you find the IP addresses of your containers.
5. Docker Installation
Install and configure methods for Docker Toolbox on docker Amazon EC2 and Windows OS.
6. Explore with Images
Design images by starting a container practicing a base image and collectively making changes to it.
7. Learn using Images
with Dockerfile
Learn to create a docker file with precision and clarity that will let Docker build the image automatically.
8. Compose Docker
Learn how to build multi-container applications working with Docker Compose
9. Docker Registry
Gain a comprehensive knowledge of creating Public and Private Repositories using Docker Hub.
10. Docker Volumes
Discover the best use of Docker Volumes to save and store persistent data within containers.
11. Docker Networks
Enhance your knowledge regarding the basic concepts that practice the default Docker networking configuration.
12. Creating Docker Swarms
Get an entire overview of Docker Swarm and learn how to build your own Docker Swarm Cluster.
Commence Docker and state its perks over VMs
Elaborating Container in Docker and its application cases
Docker Use Cases
Progression of Dockers & Containers
Differentiate between Containers and VMs
Docker Use Cases
Advantages of using Containers
Operating Docker Commands
Case Study
Learn multiple Docker Commands applied for creating, stopping, removing, and copying containers.
Requirements for installing Dockers
Install & Configure Dockertoolbox on Windows OS
Install & Configure Docker on Amazon EC2
Verifying the Docker installation.
Installing & Configuring Dockertoolbox on Windows
Installing & configuring Docker in Amazon Linux EC2
Get the knowledge of Docker Architecture
Discover further Docker Components – Docker Client, Docker Host, and Docker Registry
Gain knowledge of Docker Architecture
Summary of various Docker Components
Design images starting off a container using a base image and interactively make modifications to it, Formulate a Dockerfile that will let Docker build the image on its own.
Layers and Images
Container Layers
Working with Docker Images
Building your own Images using Dockerfile
Case Study
Pulling and pushing images. Design your own images using Dockerfile and drive to Docker Hub.
Generating Private and Public Repositories using Docker Hub
Share your image using Docker Hub, deploy your own Docker images registry, and set up your own computerized build.
Summary of Registries- Public and Private
Diver Deeper into Docker Hub
Additional Public & Private Registries
Case Study
Composing Public and Private Repositories using Docker Hub
Share your image using Docker Hub
Deploy your own Docker images registry
Set up your personal automated build
Building Organizations and teams in Docker Hub.
Study the use of Docker Volumes to preserve data within Containers.
Sharing directories within containers and container versions.
Get your hands on upgrading containers, restarting machines, and sharing data without data loss.
Review of Data Volumes
Creation of Data Volumes
Management of Data Volumes
Case Study
Study the use of Docker Volumes to preserve data within Containers.
Sharing directories within containers and container versions.
Get your hands on upgrading containers, restarting machines, and sharing data without data loss.
Study the primary concepts that use the default Docker networking configuration.
Find the IP addresses of your containers using docker commands.
Organize linking in the containers.
Set up a custom bridge for Docker, Configuring Docker Daemon IP Tables and IP Forward settings.
Summarize Docker Networking
Docker Networks Examples
Organize Networks and work with Services
Case Study
Reviewing Swarm and Docker Compose
Building High Availability Structure required for important applications
Filtering and programming nodes for ideal deployment.
Overview of Docker Compose
Defining and operating multi-container applications
Overview of Docker Swarm
Develop your personal Docker Swarm Cluster
Programming and Filtering Containers
Case Study
Developing multi-container applications practicing Docker Compose.
Developing Swarm cluster and combining the worker nodes
Developing Services and scheduling nodes for optimal deployment
Docker is an open-sourced set of platforms that are used for creating, deploying, and managing virtualized application containers on an operating system (OS). Primarily used for creating and running applications, docker helps developers bring their ideas to life by conquering the complexity of app development.
Docker uses a client-server architecture. Initially, the docker client sends commands to Docker Daemon or Server. The commands are received by Docker Daemon either through CLI (Command Line Interface) or REST APIs. Docker Daemon is wholly responsible for all operations related to Containers. Images are the primary building blocks, which means each and every container is built from the images. Images are maintained and arranged in a layered manner.
Docker can be used while :
Running various applications on one server
Learning new technologies – you don’t need to waste your time on installation and configuration
As of version control system for running an entire set of apps on OS
To collaborate or distribute on apps OS with a team
During the multiple phases of the development of an app.
Docker cannot run on Windows directly because it uses Linux OS. Hence, there is a need to install a virtual machine (VM) running Linux. Even if Docker images run on VM they can be controlled by Windows, which is made possible by the docker toolbox.
Visit www.docker.com and check for Windows then you will be taken to the Docker Toolbox for windows page.
Click for downloading Toolbox
It takes nearly 2 minutes for the Toolbox to get installed with two shortcuts – Docker Quickstart Terminal & Kitematic
Click on Docker Quickstart Terminal
When you see a Docker Command Line Interface and picture of Whale (Docker Logo), Docker is set up successfully
The Docker logo on the taskbar signifies that the program is running. Next, open a Windows terminal (Command prompt) or PowerShell and type – docker run hello-world When you get a message – “Hello from Docker …”. This confirms that Docker has been installed successfully.
Yes, Docker runs on Windows and requires the installation of the Docker Toolbox. You can then run Docker on Windows successfully.
Docker offers a safe solution for various disadvantages that come along with Virtualization. Docker enables the developer teams to create applications with increased features and makes it easy for them to upgrade, test, and deploy apps much faster and with greater efficiency. This gets the apps more time to market.is set up successfully.
If you want to succeed in DevOps technology, learning docker is a must for you. Docker enables you to build and develop applications, along with making it easier for you to test and deploy them. successfully.
Docker is quite easy to learn. Not to forget that learning also depends on your enthusiasm/intent and understanding. For a developer learning the basics should not be difficult, you can easily move further and learn about building Docker images and building Code inside the containers. But if you are a fresher, don’t worry – Logicwaves Academy is a great platform, to begin with. You will learn it all, right from understanding the basics of– DevOps, Virtualization, Virtual Machines, and Containerization to their important role in the development of web applications.
Have an improved understanding of product deployment
Heightens your product development and deployment skills
Enhances your skills in configuration management
Development applications in a cross-platform environment
Infinite career opportunities in the DevOps space
