Oreilly – Docker in Action video edition 2018-11

Published on: 2024-12-12 17:51:35

Categories: 28

Description

Docker in Action video edition course. This video course, like a visual audiobook, introduces you to the world of Docker. In this course, you will learn the concepts and applications of Docker step by step, accompanied by the author. You will work with Docker from zero to one hundred and learn how to deploy it in production environments.

The basic idea behind Docker is very simple. You create a small virtual environment called a container that contains just your application and its dependencies. The Docker engine uses the host operating system to build and manage these containers. Containers are easy to install, manage, and remove, and they share resources, which makes them smaller in size.

What you will learn:

Containerizing Applications: Learn how to create and manage Docker containers for various applications.
Installing, managing, and removing containers: Familiarity with the commands and tools needed to work with containers
Working with Docker Images: Understanding Docker Images and How to Use Them
Distributing with Docker Hub: Learn how to share Docker images on a public platform

This course is suitable for people who:

Basic Introduction to Linux: Having basic knowledge of the Linux operating system is essential to use this course.
Docker enthusiast: People who want to learn about Docker and its benefits.
Software Developers and Engineers: This course will be very useful for developers looking to improve the development and deployment process of their applications.

Docker in Action video edition course specifications

Publisher: Oreilly
Instructor: Jeff Nickoloff
Training level: Beginner to advanced
Training duration: 10 hours and 15 minutes

Course headings

Part 1. Keeping a Tidy Computer
Chapter 1. Welcome to Docker
Chapter 1. Containers are not virtualization
Chapter 1. What problems does Docker solve?
Chapter 1. Why is Docker important?
Chapter 1. Example: “Hello, World”
Chapter 2. Running software in containers
Chapter 2. Running interactive containers
Chapter 2. Solved problems and the PID namespace
Chapter 2. Eliminating metaconflicts: building a website farm
Chapter 2. Container state and dependencies
Chapter 2. Building environment-agnostic systems
Chapter 2. Environment variable injection
Chapter 2. Building durable containers
Chapter 2. Keeping containers running with supervisor and startup processes
Chapter 2. Cleaning up
Chapter 3. Software installation simplified
Chapter 3. Finding and installing software
Chapter 3. Docker Hub from the website
Chapter 3. Images as files
Chapter 3. Installation files and isolation
Chapter 3. Layer relationships
Chapter 3. Benefits of this toolset and file system structure
Chapter 4. Persistent storage and shared state with volumes
Chapter 4. Using volumes with a NoSQL database
Chapter 4. Volume types
Chapter 4. Docker-managed volumes
Chapter 4. Sharing volumes
Chapter 4. The managed volume life cycle
Chapter 4. Advanced container patterns with volumes
Chapter 4. Data-packed volume containers
Chapter 5. Network exposure
Chapter 5. Docker container networking
Chapter 5. Closed containers
Chapter 5. Bridged containers
Chapter 5. Opening inbound communication
Chapter 5. Modifying the bridge interface
Chapter 5. Joined containers
Chapter 5. Inter-container dependencies
Chapter 5. Environment modifications
Chapter 6. Limiting risk with isolation
Chapter 6. CPU
Chapter 6. Shared memory
Chapter 6. Understanding users
Chapter 6. Users and volumes
Chapter 6. Adjusting OS feature access with capabilities
Chapter 6. Stronger containers with enhanced tools
Chapter 6. Build use-case-appropriate containers
Part 2. Packaging Software for Distribution
Chapter 7. Packaging software in images
Chapter 7. Reviewing file system changes
Chapter 7. Going deep on Docker images and layers
Chapter 7. Reintroducing images, layers, repositories, and tags
Chapter 7. Exporting and importing flat file systems
Chapter 7. Versioning best practices
Chapter 8. Build automation and advanced image considerations
Chapter 8. A Dockerfile primer
Chapter 8. File system instructions
Chapter 8. Injecting downstream build-time behavior
Chapter 8. Using startup scripts and multiprocess containers
Chapter 8. Building hardened application images
Chapter 8. SUID and SGID permissions
Chapter 9. Public and private software distribution
Chapter 9. Publishing with hosted registries
Chapter 9. Publishing public projects with automated builds
Chapter 9. Introducing private registries
Chapter 9. Manual image publishing and distribution
Chapter 9. Image source distribution workflows
Chapter 10. Running customized registries
Chapter 10. Introducing the V2 API
Chapter 10. Enhancements for centralized registries
Chapter 10. Configuring HTTPS (TLS) on the reverse proxy
Chapter 10. Adding an authentication layer
Chapter 10. Client compatibility
Chapter 10. Durable blob storage
Chapter 10. Scaling access and latency improvements
Chapter 10. Integrating through notifications
Part 3. Multi-Container and Multi-Host Environments
Chapter 11. Declarative environments with Docker Compose
Chapter 11. A complicated architecture: distribution and Elasticsearch integration
Chapter 11. Iterating within an environment
Chapter 11. Scale and remove services
Chapter 11. Starting a new project: Compose YAML in three samples
Chapter 11. Volume containers and extended services
Chapter 12. Clusters with Machine and Swarm
Chapter 12. Building and managing Docker Machines
Chapter 12. Configuring Docker clients to work with remote daemons
Chapter 12. Introducing Docker Swarm
Chapter 12. Swarm extends the Docker Remote API
Chapter 12. Swarm scheduling
Chapter 12. Fine-tune scheduling with filters
Chapter 12. Scheduling with BinPack and Random
Chapter 12. Swarm service discovery
Chapter 12. Looking forward to multi-host networking