CoreOS in Action
Matt Bailey
  • MEAP began March 2016
  • Publication in May 2017 (estimated)
  • ISBN 9781617293740
  • 245 pages (estimated)
  • printed in black & white

To be competitive, your organization needs to reach modern standards of scalability and high availability. While Linux is an option, it's painful to deal with its frequent operating system updates and complex configuration management. Docker, a popular container system, can reduce these manual system administration tasks. While plenty of Linux distributions support Docker, they don't handle large scale production. This is where CoreOS can help. CoreOS is an operating system designed from the ground up to facilitate container use at any scale. It's fault-tolerant, extremely lightweight, and highly performant. CoreOS is an operating system made to solve your scale, availability, and deployment workflow problems.

CoreOS in Action begins by introducing you to core components, how services run in CoreOS, and the big picture of how the parts fits together. Next, you'll learn to fire up your own CoreOS cluster. The book goes deeper by teaching you how to configure your local environment, the basics of CoreOS system administration, and a short application deployment example. You'll learn to take advantage of CoreOS's high availability and fault tolerance as well as how to plan your application architecture. The book also covers operational planning for CoreOS, deployment options, and how to deal with mass storage. You'll discover end-to-end deployment of CoreOS in Amazon Web Services, and learn from real-world examples of application stacks.

Table of Contents detailed table of contents

Part 1: Foundation

1. Introduction to the CoreOS family

1.1. Meet CoreOS

1.1.1. The CoreOS Family

1.1.2. etcd and The Distributed Configuration State

1.1.3. fleet and The Distributed Service State

1.1.4. systemd as CoreOS's Init System

1.1.5. Docker and/or rkt, Your Container Runtime

1.1.6. Initial Configuration with cloud-config

1.2. Fitting the core services together

1.3. The CoreOS Workflow

1.4. Making My Application Work

1.4.1. Creating your unit files

1.4.2. Service topology and failover

1.5. Summary

2. Getting started on your workstation

2.1. Vagrant setup

2.1.1. Requirements and setup

2.1.2. Up and running with Vagrant

2.1.3. Getting a CoreOS cluster running in Vagrant

2.2. Tooling for interacting with CoreOS

2.2.1. fleetctl & etcdctl (internal & external)

2.2.2. The toolbox container

2.2.3. Limitations of what a Linux admin might be used to

2.3. Summary

Part 2: Core Concepts

3. Expecting Failure: Fault Tolerance in CoreOS

3.1. The Current State Of Monitoring

3.1.1. What is Lacking

3.1.2. What CoreOS Does Differently

3.2. Service Scheduling and Discovery

3.2.1. Production Nginx & Express Deployment

3.2.2. Using etcd for configuration

3.3. Breaking Things

3.3.1. Simulating a machine failure

3.3.2. Self Repair

3.4. Application Architectures and CoreOS

3.4.1. Common Pitfalls

3.4.2. Greenfield & Legacy

3.4.3. Configuration Management

3.5. Summary

4. CoreOS in Production

4.1. Planning & Deployment Options

4.1.1. CoreOS on IaaS providers (AWS)

4.1.2. CoreOS on in-house VM infrastructure

4.1.3. CoreOS on bare metal

4.2. Networking considerations

4.2.1. How programmable is your network?

4.2.2. Up and running with flannel

4.3. Where is my mass storage?

4.3.1. Data Systems Background

NASs & Storage Outsourcing

4.3.2. Ceph

4.4. Summary

Part 3: CoreOS in the Real World

5. Application Architecture & Workflow

5.1. Your Application & 12 Factor

5.1.1. CoreOS's Approach

5.1.2. The Architecture Checklist

5.2. The Software Development Cycle

5.2.1. Codebase & Dependencies

5.2.2. Environment Logic & Micro-services

5.3. The Application Edge

5.4. Summary

6. Web Stack Application Example

6.1. Scope of this Example

6.1.1. What does this app do?

6.1.2. App Architecture Overview

6.1.3. Our Target Environment

6.2. Setting up Persistence Layers

6.2.1. Couchbase Setup

6.2.2. Setting up Memcached

6.3. Application Layer

6.3.1. The Worker

6.3.2. The Web Application

6.4. Where to from here?

6.4.1. Responding to Failure

6.4.2. What is missing?

6.5. Summary

7. Big Data Stack

7.1. Scope of this Example

7.1.1. Adding to the Architecture

7.1.2. New Data Source

7.2. New Stack Components

7.2.1. Twitter Scraper

7.2.2. Orchestrating Couchbase

7.2.3. Startup and Verification

7.2.4. Start your Workers

7.3. Breaking our Stack

7.3.1. Watch the failure

7.3.2. Restore the Machine

7.4. Summary

8. CoreOS on AWS

8.1. AWS Background

8.1.1. AWS Regions & Uptimes

8.1.2. AWS Services

8.1.3. Chapter Requirements

8.2. CloudFormation Template

8.2.1. Maps, Parameters, and Outputs

8.2.2. VPC & Network

8.2.3. IAM and Security Groups

8.2.4. AutoScale Group

8.2.5. ELBs and S3

8.3. Cloud-Config in AWS

8.3.1. Boilerplate

8.3.2. Custom Units

8.4. Deployment

8.4.1. Execution and Parameters

8.4.2. Logging In

8.5. Summary

9. Bringing it Together: Deployment

9.1. New CloudFormation Objects

9.1.1. Parameter & Output

9.1.2. Lambda

9.1.3. API Gateway

9.1.4. Updating Your Stack

9.2. Deploy the App!

9.2.1. Web Sidekick

9.2.2. Initial Deployment

9.3. Automated Deployment

9.3.1. Docker Hub Setup

9.3.2. Pushing a Change

9.4. Summary

10. System Administration

10.1. Logging and Backups

10.1.1. Logs Setup

10.1.2. Update Cloud-Config

10.1.3. AWSlogs in Units

10.1.4. Viewing Logs

10.1.5. Backing Up Data

10.2. Scaling Systems

10.2.1. Scaling Your Cluster

10.2.2. Scale Partition

10.2.3. Migrating Services

10.3. CoreOS Horizon

10.3.1. New Toys

10.3.2. Rkt

10.4. Summary

What's inside

  • Using CoreOS with AWS
  • Deploying Kubernetes
  • Running MEAN stack applications
  • Managing Big Data with Hadoop
  • Elastic Load Balancers

About the reader

If you're an operations professional, site reliability engineer, systems architect, or anyone who wants to learn to deploy CoreOS, this book is for you.

About the author

Matt Bailey has worked in a wide variety of roles in technology for 15 years ranging from large scale scientific computing cluster architecture and design to end user front-end programming for the web.


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