Course: Using Docker
duration: 9 hours |
Language: English (US) |
access duration: 90 days |
Details
In this Docker training course you will learn the basics of Docker. You will learn the installation of Docker using Ubuntu and CentOS. Topics that are discussed are Docker containers, link containers and managing data in containers. Finally you will learn about custom and clustering data.
Among the subjects covered are Docker hub, UFW, DNS, CentOS, JSON, constraint filter, affinity filter, port filter health filter and far more.
Result
After finishing this course you are familiar with the basics of using Docker.
Prerequisites
You have experience as a software developer .
Target audience
Software Developer, Web Developer
Content
Using Docker
Using Docker: Benefits and Installation
- start the course
- describe Docker and the problem it solves
- describe the uses of Docker
- compare Docker with virtual machine deployments
- describe Docker architecture
- identify internal components on which Docker is based
- differentiate between public and private registries in Docker
- describe the process of accessing Docker hub
- identify the use of namespaces in Docker
- identify the use of control groups in Docker
- identify the use of union systems in Docker
- verify minimum requirements for Ubuntu
- install Docker on Ubuntu
- create a Docker group
- configure memory for Docker
- configure UFW forwarding in Docker
- configure DNS for Docker
- describe CentOS version and kernel support
- install a Docker package on CentOS 6.5
- start and verify Docker daemon in CentOS
- describe the process of templating an image
- use the run command to spawn a Docker container
- run and interact with a Docker container
- list the steps to access, interact, and see results from a command executed on an image from a local or remote registry
Using Docker: Dockerizing Applications
- start the course
- identify the features of a Dockerized application
- list the steps to spawn an interactive Docker container
- list the steps to daemonize a Docker container
- list the steps and commands to access a Docker daemon
- identify the syntax and version of a Docker command
- identify Docker client commands and usage
- describe the command to execute an application in Docker
- describe container and port details
- use commands to name and inspect config details in JSON
- identify the step to list available Docker images
- list the steps to pull a Docker image
- list the steps to search for Docker images
- list the steps to update, create, and commit a Docker image
- list the steps to push and remove an image from the host or registry
- identify the use of the -P and -D flags to control port access
- identify the steps to link containers by referencing through names
- Use environment variables to link containers
- list available environment variables and its impact on /etc/hosts file
- understanding data volumes
- identify the steps to configure data volumes
- list the steps to create a data volume container to share data between containers
- identify the steps to back up and restore data
- define steps to edit an Ubuntu image for adding a command to it
Using Docker: Customizing and Clustering
- start the course
- identify the need for custom metadata in Docker
- describe how different types of data can be stored in labels
- describe steps to add labels to an image
- describe steps to filter images by label
- identity the need for Docker Compose tool for defining and running applications
- describe the steps to install Compose in Docker
- describe how to build a DockerFile for defining images
- build a .yml file for defining Docker services
- build and run an application in Docker Compose
- identify the need for clustering Docker hosts and prerequisites for Swarm
- list the steps to set up Swarm nodes for clustering
- use commands to access and list nodes
- work with Discovery services and list the different approaches
- describe the need for filters and its various types
- list the steps to configure a constraint filter
- list the steps to configure an affinity filter
- list the steps to configure a port filter
- list the steps to configure a dependency and health filter
- identify the need for Swarm strategies and list different types of strategies
- use BinPack strategy to choose a Docker node in a cluster
- use Spread strategy to choose a Docker node in a cluster
- implement steps to create a data label
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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