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Project Notes

Docker Cookbook (O’Reilly)

Book notes - Docker Cookbook, 3rd Edition by Steve Oualline, published by O’Reilly

Notes

Table of Contents - Highlights

1 Getting Started with Docker

  • 1.1 Installing Docker on Ubuntu 14.04
  • 1.2 Installing Docker on CentOS 6.5
  • 1.3 Installing Docker on CentOS 7
  • 1.4 Setting Up a Local Docker Host by Using Vagrant
  • 1.5 Installing Docker on a Raspberry Pi
  • 1.6 Installing Docker on OS X Using Docker Toolbox
  • 1.7 Using Boot2Docker to Get a Docker Host on OS X
  • 1.8 Running Boot2Docker on Windows 8.1 Desktop
  • 1.9 Starting a Docker Host in the Cloud by Using Docker Machine
  • 1.10 Using Docker Experimental Binaries
  • 1.11 Running Hello World in Docker
  • 1.12 Running a Docker Container in Detached Mode
  • 1.13 Creating, Starting, Stopping, and Removing Containers
  • 1.14 Building a Docker Image with a Dockerfile
  • 1.15 Using Supervisor to Run WordPress in a Single Container
  • 1.16 Running a WordPress Blog Using Two Linked Containers
  • 1.17 Backing Up a Database Running in a Container
  • 1.18 Sharing Data in Your Docker Host with Containers
  • 1.19 Sharing Data Between Containers
  • 1.20 Copying Data to and from Containers

2 Image Creation and Sharing

  • 2.1 Keeping Changes Made to a Container by Committing to an Image
  • 2.2 Saving Images and Containers as Tar Files for Sharing
  • 2.3 Writing Your First Dockerfile
  • 2.4 Packaging a Flask Application Inside a Container
  • 2.5 Optimizing Your Dockerfile by Following Best Practices
  • 2.6 Versioning an Image with Tags
  • 2.7 Migrating from Vagrant to Docker with the Docker Provider
  • 2.8 Using Packer to Create a Docker Image
  • 2.9 Publishing Your Image to Docker Hub
  • 2.10 Using ONBUILD Images
  • 2.11 Running a Private Registry
  • 2.12 Setting Up an Automated Build on Docker Hub for Continuous Integration/Deployment
  • 2.13 Setting Up a Local Automated Build by Using a Git Hook and a Private Registry
  • 2.14 Using Conduit for Continuous Deployment

3 Docker Networking

  • 3.1 Finding the IP Address of a Container
  • 3.2 Exposing a Container Port on the Host
  • 3.3 Linking Containers in Docker
  • 3.4 Understanding Docker Container Networking
  • 3.5 Choosing a Container Networking Namespace
  • 3.6 Configuring the Docker Daemon IP Tables and IP Forwarding Settings
  • 3.7 Using pipework to Understand Container Networking
  • 3.8 Setting Up a Custom Bridge for Docker
  • 3.9 Using OVS with Docker
  • 3.10 Building a GRE Tunnel Between Docker Hosts
  • 3.11 Running Containers on a Weave Network
  • 3.12 Running a Weave Network on AWS
  • 3.13 Deploying flannel Overlay Between Docker Hosts
  • 3.14 Networking Containers on Multiple Hosts with Docker Network
  • 3.15 Diving Deeper into the Docker Network Namespaces Configuration

4 Docker Configuration and Development

  • 4.1 Managing and Configuring the Docker Daemon
  • 4.2 Compiling Your Own Docker Binary from Source
  • 4.3 Running the Docker Test Suite for Docker Development
  • 4.4 Replacing Your Current Docker Binary with a New One
  • 4.5 Using nsenter
  • 4.6 Introducing runc
  • 4.7 Accessing the Docker Daemon Remotely
  • 4.8 Exploring the Docker Remote API to Automate Docker Tasks
  • 4.9 Securing the Docker Daemon for Remote Access
  • 4.10 Using docker-py to Access the Docker Daemon Remotely
  • 4.11 Using docker-py Securely
  • 4.12 Changing the Storage Driver

5 Kubernetes

  • 5.1 Understanding Kubernetes Architecture
  • 5.2 Networking Pods for Container Connectivity
  • 5.3 Creating a Multinode Kubernetes Cluster with Vagrant
  • 5.4 Starting Containers on a Kubernetes Cluster with Pods
  • 5.5 Taking Advantage of Labels for Querying Kubernetes Objects
  • 5.6 Using a Replication Controller to Manage the Number of Replicas of a Pod
  • 5.7 Running Multiple Containers in a Pod
  • 5.8 Using Cluster IP Services for Dynamic Linking of Containers
  • 5.9 Creating a Single-Node Kubernetes Cluster Using Docker Compose
  • 5.10 Compiling Kubernetes to Create Your Own Release
  • 5.11 Starting Kubernetes Components with the hyperkube Binary
  • 5.12 Exploring the Kubernetes API
  • 5.13 Running the Kubernetes Dashboard
  • 5.14 Upgrading from an Old API Version
  • 5.15 Configuring Authentication to a Kubernetes Cluster
  • 5.16 Configuring the Kubernetes Client to Access Remote Clusters

6 Optimized Operating System Distributions for Docker

  • 6.1 Discovering the CoreOS Linux Distribution with Vagrant
  • 6.2 Starting a Container on CoreOS via cloud-init
  • 6.3 Starting a CoreOS Cluster via Vagrant to Run Containers on Multiple Hosts
  • 6.4 Using fleet to Start Containers on a CoreOS Cluster
  • 6.5 Deploying a flannel Overlay Between CoreOS Instances
  • 6.6 Using Project Atomic to Run Docker Containers
  • 6.7 Starting an Atomic Instance on AWS to Use Docker
  • 6.8 Running Docker on Ubuntu Core Snappy in a Snap
  • 6.9 Starting an Ubuntu Core Snappy Instance on AWS EC2
  • 6.10 Running Docker Containers on RancherOS

7 The Docker Ecosystem: Tools

  • 7.1 Using Docker Compose to Create a WordPress Site
  • 7.2 Using Docker Compose to Test Apache Mesos and Marathon on Docker
  • 7.3 Starting Containers on a Cluster with Docker Swarm
  • 7.4 Using Docker Machine to Create a Swarm Cluster Across Cloud Providers
  • 7.5 Managing Containers Locally Using the Kitematic UI
  • 7.6 Managing Containers Through Docker UI
  • 7.7 Using the Wharfee Interactive Shell
  • 7.8 Orchestrating Containers with Ansible Docker Module
  • 7.9 Using Rancher to Manage Containers on a Cluster of Docker Hosts
  • 7.10 Running Containers on a Cluster Using Lattice
  • 7.11 Running Containers via Apache Mesos and Marathon
  • 7.12 Using the Mesos Docker Containerizer on a Mesos Cluster
  • 7.13 Discovering Docker Services with Registrator

8 Docker in the Cloud

  • 8.1 Accessing Public Clouds to Run Docker
  • 8.2 Starting a Docker Host on AWS EC2
  • 8.3 Starting a Docker Host on Google GCE
  • 8.4 Starting a Docker Host on Microsoft Azure
  • 8.5 Starting a Docker Host on AWS Using Docker Machine
  • 8.6 Starting a Docker Host on Azure with Docker Machine
  • 8.7 Running a Cloud Provider CLI in a Docker Container
  • 8.8 Using Google Container Registry to Store Your Docker Images
  • 8.9 Using Docker in GCE Google-Container Instances
  • 8.10 Using Kubernetes in the Cloud via GCE
  • 8.11 Setting Up to Use the EC2 Container Service
  • 8.12 Creating an ECS Cluster
  • 8.13 Starting Docker Containers on an ECS Cluster
  • 8.14 Starting an Application in the Cloud Using Docker Support in AWS Beanstalk

9 Monitoring Containers

  • 9.1 Getting Detailed Information About a Container with docker inspect
  • 9.2 Obtaining Usage Statistics of a Running Container
  • 9.3 Listening to Docker Events on Your Docker Hosts
  • 9.4 Getting the Logs of a Container with docker logs
  • 9.5 Using a Different Logging Driver than the Docker Daemon
  • 9.6 Using Logspout to Collect Container Logs
  • 9.7 Managing Logspout Routes to Store Container Logs
  • 9.8 Using Elasticsearch and Kibana to Store and Visualize Container Logs
  • 9.9 Using Collectd to Visualize Container Metrics
  • 9.10 Using cAdvisor to Monitor Resource Usage in Containers
  • 9.11 Monitoring Container Metrics with InfluxDB, Grafana, and cAdvisor
  • 9.12 Gaining Visibility into Your Containers’ Layout with Weave Scope

10 Application Use Cases

  • 10.1 CI/CD: Setting Up a Development Environment
  • 10.2 CI/CD: Building a Continuous Delivery Pipeline with Jenkins and Apache Mesos
  • 10.3 ELB: Creating a Dynamic Load-Balancer with Confd and Registrator
  • 10.4 DATA: Building an S3-Compatible Object Store with Cassandra on Kubernetes
  • 10.5 DATA: Building a MySQL Galera Cluster on a Docker Network
  • 10.6 DATA: Dynamically Configuring a Load-Balancer for a MySQL Galera Cluster
  • 10.7 DATA: Creating a Spark Cluster

Getting the Example Source

git clone https://github.com/how2dock/docbook.git example_source

Credits and References

About LCK#122 dockerbook
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This page is a web-friendly rendering of my project notes shared in the LittleCodingKata GitHub repository.

LittleCodingKata is my collection of programming exercises, research and code toys broadly spanning things that relate to programming and software development (languages, frameworks and tools).

These range from the trivial to the complex and serious. Many are inspired by existing work and I'll note credits and references where applicable. The focus is quite scattered, as I variously work on things new and important in the moment, or go back to revisit things from the past.

This is primarily a personal collection for my own edification and learning, but anyone who stumbles by is welcome to borrow, steal or reference the work here. And if you spot errors or issues I'd really appreciate some feedback - create an issue, send me an email or even send a pull-request.