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Certification Included
access
lifetime
content
8 Hours
Description
Docker is an open-source tool that allows developers to wrap their code into small containers or packets, allowing it to then be shipped to and deployed on any other system. It's an incredible valuable, unique tool that allows software to operate at peak performance anywhere without creating virtual machines. To be direct: companies pay good money for Docker-literate pros. In this course, you'll learn Docker starting with the absolute basics, and cover it right through to an advanced level.- Access 58 lectures & 8 hours of content 24/7
- Get a basic intro to DevOps, containerization, & a background of Docker
- Download & install Docker, learn its command line, & understand the container environment
- Build a container from scratch & understand how a Docker container operates
- Note all the facets of a Docker container, from storage, networking, types, memory, & more
Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
Terms
- Unredeemed licenses can be returned for store credit within 15 days of purchase. Once your license is redeemed, all sales are final.
Course Outline
- Introduction
- Introduction (3:18)
- Introduction to DevOps
- Introduction to DevOps (8:03)
- Infrastucture Needs For Agile Development (8:51)
- DevOps Misconceptions (3:00)
- Hello Docker!
- What is it? (9:10)
- Common Docker Use Cases (4:53)
- A Docker Example (3:56)
- Using Docker Containers
- Getting Assistance on Docker Command Line (9:19)
- LAB: Create a Service Monitor (6:34)
- The PID Namespace (7:19)
- Problems with Multiple Containers (6:32)
- Docker Human-Friendly Names - Part A (8:56)
- Docker Human-Friendly Names - Part B (6:07)
- Bundling Environment Variables (7:35)
- Recovering from Failures - Restarting (6:08)
- Process Manager (5:33)
- Container's Entry Point (9:01)
- Using Docker in Software Installations
- Using Docker in Software Installations (7:20)
- Docker Hub (9:26)
- Building Your Own Image (5:52)
- Persistent Storage
- Persistent Storage (8:02)
- How to Use Volumes? (6:33)
- LAB: Using Volumes to Create Persistent Data (11:58)
- The "Bind Mount" Volume Type (11:55)
- LAB: Create a Python Script Image for Parsing a CSV File (5:58)
- Sharing Volumes - The Host-Dependent Way (6:58)
- Generalized Volume Sharing (12:25)
- Networking in Docker
- Networking in Docker (8:30)
- Docker Network Model - Illustration (7:55)
- Closed Container (6:46)
- Containers' Name Resolution - Part A (7:55)
- Containers' Name Resolution - Part B (7:19)
- Controlling Connections to the Container (10:13)
- Joined Containers (7:20)
- How do Containers "Know" About Each Other? (13:41)
- Using Isolation to Mitigate Risks
- Security and Isolation (6:37)
- CPU Allowance (9:31)
- Assigning a CPU Set to the Container (7:42)
- Docker Users (8:22)
- LAB - Handling Permissions (4:16)
- Packaging Software in Images
- Software Packaging (8:14)
- Determining Changes (8:14)
- The Commit Command Options (9:32)
- The Commit Command and UFS (6:58)
- Image Layer Sizes and Limits (13:37)
- Working with Flat File Systems (7:00)
- Build Automation and Advanced Image Consideration
- Build Automation (8:09)
- Understanding Build Automation - An Explanation (7:01)
- LAB02: A Python Base Image (12:30)
- Exploring Base.df File (10:59)
- The ONBUILD Instruction (9:29)
- Public and Private Software Distribution
- Distributing Your Image (4:33)
- LAB01: Using a Hosted Registry (5:44)
- Different Methods to Distribute Your Image Using Docker (7:10)
- LAB02: Create a Hosted Repository Using an Automated Build (8:33)
- Publishing to Private Registries (10:19)
- Manual Image Publishing (11:17)
- LAB05: Using GitHub as a Sole Means of Distribution (10:10)
- Fiinal Project
- final project Part A (8:49)
- final project Part B (15:42)
- Summary
- Summary (1:59)
access
lifetime
content
8 Hours
