Working with Advanced Docker Operations

Working with Advanced Docker Operations, available at $34.99, has an average rating of 3.95, with 26 lectures, based on 22 reviews, and has 288 subscribers.

You will learn about Download, install, and configure the latest version of Kubernetes Orchestratw multiple containers into complex applications with Kubernetes Build Images Automatically with GitLab View Performance Data with Grafana Use Cases and Problen Solving Learn to Install the ELK Stack This course is ideal for individuals who are This course is designed for Developers and system administrators who are familiar with basic Docker concepts and want to learn how to deploy Docker for real-world applications. It is particularly useful for This course is designed for Developers and system administrators who are familiar with basic Docker concepts and want to learn how to deploy Docker for real-world applications.

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Summary

Title: Working with Advanced Docker Operations

Price: $34.99

Average Rating: 3.95

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Download, install, and configure the latest version of Kubernetes

Orchestratw multiple containers into complex applications with Kubernetes

Build Images Automatically with GitLab

View Performance Data with Grafana

Use Cases and Problen Solving

Learn to Install the ELK Stack

Who Should Attend

This course is designed for Developers and system administrators who are familiar with basic Docker concepts and want to learn how to deploy Docker for real-world applications.

Target Audiences

This course is designed for Developers and system administrators who are familiar with basic Docker concepts and want to learn how to deploy Docker for real-world applications.

Docker has been a game changer when it comes to virtualization. It provides a fast and robust way to deploy application. It makes it easy to build and deploy applications reliable, repeatable and fast.In this video course you will learn how to manage Kubernetes to manage containers across a cluster of hosts.Next it will teach you how to monitor the health of a Docker cluster. Along the way, you will learn how to deploy your application that can be quickly scaled to meet load needs and be upgraded with little or no downtime. Next, we’ll guide you on how to configure the Docker daemon, troubleshooting containers and images. We’ll also teach you how to use continuous integration techniques to automatically build and test Docker images. Moving on, we will discuss use cases for containers. Each use case will highlight a particular problem and how Docker helps to solve it.Finally, you will learn how to use Kubernetes orchestration system, how to monitor your Docker cluster, How to automate your application to build, test and deploy.

This course uses Kubernetes 1.8, while not the latest version available, it provides relevant and informative content for legacy users of Kubernetes.

About the Author

Randall Smith is a senior systems administrator at Adams State University. He has been administering Windows, Linux, and BSD systems since 1999.He has been active in helping other sysadmins solve problems online and off. He has presented at the Colorado Higher Ed Computing Organization and Educause conferences on topics including Linux KVM and Ceph.In his spare time, Randall streams Let’s Play gaming videos at Music Free Gaming on YouTube and Twitch.

Course Curriculum

Chapter 1: Get Started Using Kubernetes

Lecture 1: The Course Overview

Lecture 2: Managing Resources

Lecture 3: Creating Pods

Lecture 4: Multi-container Pods

Lecture 5: Networking

Lecture 6: Deployments and Controllers

Lecture 7: Rolling Updates

Chapter 2: Using Services and Volumes with Pods

Lecture 1: Labels and Selectors

Lecture 2: Kubernetes Services

Lecture 3: Environment Variables

Lecture 4: Creating Secrets and ConfgMaps

Lecture 5: Plain Volumes

Lecture 6: Persistent Volumes

Chapter 3: Monitoring

Lecture 1: Installing the ELK Stack

Lecture 2: Viewing Logs in Kibana

Lecture 3: Collecting Performance Data with Prometheus

Lecture 4: Viewing Performance Data with Grafana

Lecture 5: Using Sysdig

Lecture 6: Other Considerations

Chapter 4: Continuous Integration and Delivery with GitLab

Lecture 1: Building Docker Images Automatically

Lecture 2: Automatically Testing Images

Lecture 3: Automatically Deploying an Image

Chapter 5: Use Cases

Lecture 1: Rapidly Test Backups and DB Changes with MySQL

Lecture 2: Deploying WordPress and MySQL with Docker

Lecture 3: Manage Applications with a Lot of dependencies

Lecture 4: Deploying Jenkins with Docker

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 13 votes

5 stars: 5 votes

Frequently Asked Questions

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