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LEARNING PATH: Learning Docker and Kubernetes

Leverage the lethal combination of Docker and Kubernetes to automate deployment and management of Docker applications
Instructor:
Packt Publishing
106 students enrolled
English [Auto-generated]
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

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.

Learning Kubernetes

1
The Course Overview

This video provides an overview of the entire course.

2
Overview: Installing Kubernetes

This video aims to provide a high-level overview of installing a kubernetes.

3
Installing Dependencies

In this video, we will learn to setup our environment before installing Kubernetes.

4
Installing the Latest Kubernetes

In this video, we will install a local Kubernetes cluster.

5
Exploring Your Kubernetes Installation

In this video, we will explore our Kubernetes installation.

6
Kubernetes Architecture and Design

In this video, we will understand Kubernetes core concepts before diving into advanced concepts.

7
Achieving High-Availability

This video aims to explain that we want our cluster to be highly available to reduce downtime and we need a deployment pattern.

8
Scaling Kubernetes

In this video, we will learn of some upper-limits or size limitations of kubernetes.

9
Federation

This video aims to explain that we need to manage multiple clusters using federation.

10
Configuration Best Practices

In this video, we will understand best practices for configuring Kubernetes.

11
Creating and Decoding Secrets

In this video, we will understand how to use the kubectl CLI to create and decode secrets.

12
Using Secrets in Applications

In this video, we will understand how to mount volumes containing secrets to apps.

13
Overview: Docker Containerization

This video aims to explain what is a container engine, container build tool, and container registry.

14
Installing Docker and Building the Image
15
Deploying Your Docker Container

In this video, we will install our container image to kubernetes.

16
Interacting With Your Container

In this video, we will test whether our application is running successfully in Kubernetes.

Working with Advanced Docker Operations

1
The Course Overview

This video will give you an overview about the course.

2
Managing Resources

In this video, we will learn how to use kubectl manage resources in Kubernetes

3
Creating Pods

The aim of this video is to understand how to create Pods to run containers.

4
Multi-container Pods

In this video, we will learn when and when not to use multi-container Pods and how to create them

5
Networking

This video will enable us to learn about networking in Kubernetes

6
Deployments and Controllers

The aim of this video is to learn how to create a controller to manage Pods for an application

7
Rolling Updates

In this video, we will learn how to apply updates to a running deployment

8
Labels and Selectors

In this video, we will discover how to use labels and selectors with Kubernetes resources.

9
Kubernetes Services

The aim of this video is to understand to use Services to provide access to Deployments

10
Environment Variables

In this video, we will learn how to use environment variables in specifications.

11
Creating Secrets and ConfgMaps

The aim of this video is to learn how to pass data into Pods using Secrets and ConfigMaps.

12
Plain Volumes

This video explores how to use volumes to provide persistent data to Pods

13
Persistent Volumes

In this video, we will understand how to use PersistentVolumes to provide data to one or more Pods

14
Installing the ELK Stack

Learn how to install Elasticsearch and Kibana on Kubernetes

15
Viewing Logs in Kibana

Learn how to view and search logs with Kibana

16
Collecting Performance Data with Prometheus

Learn how to collect performance data from Kubernetes with Prometheus

17
Viewing Performance Data with Grafana

Learn how to use Grafana with Prometheus

18
Using Sysdig

Use Sysdig to monitor a Kubernetes host

19
Other Considerations

Learn about other considerations for monitoring your Docker and Kubernetes cluster

20
Building Docker Images Automatically

Learn how to use GitLab CI to automatically build Docker images.

21
Automatically Testing Images

Learn how to automatically test Docker images as they are built.

22
Automatically Deploying an Image

Learn how to automatically deploy Docker images and applications to Kubernetes

23
Rapidly Test Backups and DB Changes with MySQL

The aim of this video is to learn how Docker is used to verify MySQL backups.

24
Deploying WordPress and MySQL with Docker

The aim of this video is to learn how to deploy WordPress and MySQL.

25
Manage Applications with a Lot of dependencies

The aim of this video is to learn how to manage applications with dependencies.

26
Deploying Jenkins with Docker

The aim of this video is to learn how to use Jenkins with Kubernetes.

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