LEARNING PATH- Learning Docker and Kubernetes

LEARNING PATH: Learning Docker and Kubernetes, available at $34.99, has an average rating of 4.05, with 42 lectures, based on 24 reviews, and has 176 subscribers.

You will learn about Learn the core Kubernetes architecture, concepts, and highly-available deployments at-scale and in depth Grasp industry-proven standards and patterns for deploying apps to Kubernetes Learn how to configure the Docker daemon, troubleshooting containers and images, and using continuous integration techniques to automatically build and test Docker images Learn deployment patterns and concepts for making Kubernetes highly-available Manage a local Kubernetes deployment using MiniKube Build images automatically with GitLab This course is ideal for individuals who are This Learning Path is for developers, architects, system administrators, and other technologists who want to learn about and gain hands-on experience with, deploying and managing market leading cloud platforms. It is particularly useful for This Learning Path is for developers, architects, system administrators, and other technologists who want to learn about and gain hands-on experience with, deploying and managing market leading cloud platforms.

Enroll now: LEARNING PATH: Learning Docker and Kubernetes

Summary

Title: LEARNING PATH: Learning Docker and Kubernetes

Price: $34.99

Average Rating: 4.05

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn the core Kubernetes architecture, concepts, and highly-available deployments at-scale and in depth

Grasp industry-proven standards and patterns for deploying apps to Kubernetes

Learn how to configure the Docker daemon, troubleshooting containers and images, and using continuous integration techniques to automatically build and test Docker images

Learn deployment patterns and concepts for making Kubernetes highly-available

Manage a local Kubernetes deployment using MiniKube

Build images automatically with GitLab

Who Should Attend

This Learning Path is for developers, architects, system administrators, and other technologists who want to learn about and gain hands-on experience with, deploying and managing market leading cloud platforms.

Target Audiences

This Learning Path is for developers, architects, system administrators, and other technologists who want to learn about and gain hands-on experience with, deploying and managing market leading cloud platforms.

Docker is a portable container format that allows you to run code anywhere from your desktop to the cloud. Docker’s workflow makes development, testing, and deployment much easier and much faster. Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. To deploy Docker for real-world applications and gain hands-on experience with, deploying and managing market leading cloud platforms, you must be familiar with the basic concepts of Docker.

This comprehensive 2-in-1 course teaches you to deploy and manage applications on leading cloud platforms, such as Docker and Kubernetes. You’ll learn through practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of Docker and Kubernetes? skills, which you will put to work in your own applications.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Learning Kubernetes, starts off with basic installation of Kubernetes and all its dependencies. You will then learn deployment patterns and concepts for making Kubernetes highly-available. You will also learn how to manage a local Kubernetes deployment using MiniKube, Next, you will understand how to use secrets in your applications by creating and decoding secrets. You will learn to deploy your docker applications on Kubernetes.

The second course, Working with Advanced Docker Operations, teaches you how to create pods and multi-container pods. You will then learn how to use services and volumes with pods such as labels and selectors, Kubernetes services, creating secrets and ConfigMaps, and plain and persistent volumes.You will also learn how to install the ELK stack, view logs in Kibana, and? view performance data in Grafana. Next, you will learn how to use continuous integration techniques to automatically build and test Docker images. You will be glanced through some use cases on containers wherein each use case highlights a particular problem and you will find how Docker helps solve it.

By the end of this training program, you’ll be able to use Kubernetes orchestration system, monitor Docker cluster, and automate your applications to build, test, and deploy.

Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:

● Braithe E.S. Warnock is currently a managing cloud architect for the financial services division of Ernst & Young. He has had the opportunity to work with several of the largest PCF installations on an international scale. He helped build the framework for the adoption of PCF at top companies such as Ford, Comcast, DISH, HSBC, and Charles Schwab. As a vendor-neutral consultant, he enjoys helping people understand the rapidly-evolving world of cloud and application architecture. He has more than six years of experience and specialization in global digital transformations. He has expertise in various cloud and cloud platform technologies (PCF, AWS, Azure, VMware, Netflix OSS, Kubernetes, and OpenShift) and also the Java and Spring Boot frameworks. He has developed over 100 microservices using Spring Boot, Java 7/8, Spring Cloud, and Netflix OSS, spanning half a dozen unique cloud-native microservice architectures. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data.

● 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: Learning Kubernetes

Lecture 1: The Course Overview

Lecture 2: Overview: Installing Kubernetes

Lecture 3: Installing Dependencies

Lecture 4: Installing the Latest Kubernetes

Lecture 5: Exploring Your Kubernetes Installation

Lecture 6: Kubernetes Architecture and Design

Lecture 7: Achieving High-Availability

Lecture 8: Scaling Kubernetes

Lecture 9: Federation

Lecture 10: Configuration Best Practices

Lecture 11: Creating and Decoding Secrets

Lecture 12: Using Secrets in Applications

Lecture 13: Overview: Docker Containerization

Lecture 14: Installing Docker and Building the Image

Lecture 15: Deploying Your Docker Container

Lecture 16: Interacting With Your Container

Chapter 2: Working with Advanced Docker Operations

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

Lecture 8: Labels and Selectors

Lecture 9: Kubernetes Services

Lecture 10: Environment Variables

Lecture 11: Creating Secrets and ConfgMaps

Lecture 12: Plain Volumes

Lecture 13: Persistent Volumes

Lecture 14: Installing the ELK Stack

Lecture 15: Viewing Logs in Kibana

Lecture 16: Collecting Performance Data with Prometheus

Lecture 17: Viewing Performance Data with Grafana

Lecture 18: Using Sysdig

Lecture 19: Other Considerations

Lecture 20: Building Docker Images Automatically

Lecture 21: Automatically Testing Images

Lecture 22: Automatically Deploying an Image

Lecture 23: Rapidly Test Backups and DB Changes with MySQL

Lecture 24: Deploying WordPress and MySQL with Docker

Lecture 25: Manage Applications with a Lot of dependencies

Lecture 26: Deploying Jenkins with Docker

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 0 votes

2 stars: 4 votes

3 stars: 2 votes

4 stars: 12 votes

5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!