Packt – Working with Advanced Docker Operations

Packt – Working with Advanced Docker Operations
English | Size: 1.05 GB
Category: CBTs

Find and build images and successfully run your programs within containers
Discover the fundamentals of Kubernetes – manage containers across a cluster of hosts
Explore Kubernetes and how it can simplify the way you configure your clusters and networks
In Detail
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.

Table of Contents
Chapter 1 : Get Started Using Kubernetes
The Course Overview 00:02:59
Managing Resources 00:07:58
Creating Pods 00:08:47
Multi-container Pods 00:09:35
Networking 00:08:18
Deployments and Controllers 00:10:15
Rolling Updates 00:07:12
Chapter 2 : Using Services and Volumes with Pods
Labels and Selectors 00:08:37
Kubernetes Services 00:10:02
Environment Variables 00:04:45
Creating Secrets and ConfgMaps 00:08:07
Plain Volumes 00:06:11
Persistent Volumes 00:10:17
Chapter 3 : Monitoring
Installing the ELK Stack 00:06:19
Viewing Logs in Kibana 00:05:30
Collecting Performance Data with Prometheus 00:04:32
Viewing Performance Data with Grafana 00:07:40
Using Sysdig 00:06:14
Other Considerations 00:05:51
Chapter 4 : Continuous Integration and Delivery with GitLab
Building Docker Images Automatically 00:06:55
Automatically Testing Images 00:05:12
Automatically Deploying an Image 00:09:51
Chapter 5 : Use Cases
Rapidly Test Backups and DB Changes with MySQL 00:10:03
Deploying WordPress and MySQL with Docker 00:09:10
Manage Applications with a Lot of dependencies 00:13:13
Deploying Jenkins with Docker 00:09:57

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