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  • Book Overview & Buying Implementing DevOps on AWS
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Implementing DevOps on AWS

Implementing DevOps on AWS

By : Vaselin Kantsev
3.6 (7)
Buy this Book
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Implementing DevOps on AWS

Implementing DevOps on AWS

3.6 (7)
By: Vaselin Kantsev
Buy this Book

Overview of this book

Knowing how to adopt DevOps in your organization is becoming an increasingly important skill for developers, whether you work for a start-up, an SMB, or an enterprise. This book will help you to drastically reduce the amount of time spent on development and increase the reliability of your software deployments on AWS using popular DevOps methods of automation. To start, you will get familiar with the concept of IaC and will learn to design, deploy, and maintain AWS infrastructure. Further on, you’ll see how to design and deploy a Continuous Integration platform on AWS using either open source or AWS provided tools/services. Following on from the delivery part of the process, you will learn how to deploy a newly created, tested, and verified artefact to the AWS infrastructure without manual intervention. You will then find out what to consider in order to make the implementation of Configuration Management easier and more effective. Toward the end of the book, you will learn some tricks and tips to optimize and secure your AWS environment. By the end of the book, you will have mastered the art of implementing DevOps practices onto AWS.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. What is DevOps and Should You Care?
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1. What is DevOps and Should You Care?
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What is DevOps?
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Should you care
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Summary
2
2. Start Treating Your Infrastructure as Code
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2. Start Treating Your Infrastructure as Code
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IaC using Terraform
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IaC using CloudFormation
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Summary
3
3. Bringing Your Infrastructure Under Configuration Management
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3. Bringing Your Infrastructure Under Configuration Management
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Introduction to SaltStack
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Writing Configuration Management code
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Bootstrapping nodes under Configuration Management (end-to-end IaC)
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Summary
4
4. Build, Test, and Release Faster with Continuous Integration
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4. Build, Test, and Release Faster with Continuous Integration
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Prepare IaC
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Deploy IaC
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Setup CI
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Summary
5
5. Ever-Ready to Deploy Using Continuous Delivery
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5. Ever-Ready to Deploy Using Continuous Delivery
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Preparing Terraform templates
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Prepareing Salt code
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Preparing Jenkins code
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Preparing CodeCommit repositories
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Deploy Terraform templates
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Initializing Jenkins
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Configuring Jenkins jobs
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Summary
6
6. Continuous Deployment - A Fully Automated Workflow
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6. Continuous Deployment - A Fully Automated Workflow
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Terraform code (resources.tf)
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Jenkins pipelines
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Summary
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7. Metrics, Log Collection, and Monitoring
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7. Metrics, Log Collection, and Monitoring
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Centralized logging
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Metrics
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Monitoring
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Summary
8
8. Optimize for Scale and Cost
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8. Optimize for Scale and Cost
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Architectural considerations
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The frontend layer
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The backend layer
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The object storage layer
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Summary
9
9. Secure Your AWS Environment
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9. Secure Your AWS Environment
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Managing access using IAM
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VPC security
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EC2 security
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Security auditing
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Summary
10
10. AWS Tips and Tricks
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10. AWS Tips and Tricks
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Using VPCs
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Keep the Main route table as a fallback
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Staying within the VPC
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Creating IAM roles in advance
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Groups over users
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Knowing the AWS service limits
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Pre-warm ELBs if needed
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Using termination protection
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Tagging what you can
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Deploying across multiple zones
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Enhancing your ELB health-checks
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Offloading SSL onto the ELB
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EIP versus public IP
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Mind the full-hour billing
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Using Route53 ALIAS records
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The S3 bucket namespace is global
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- versus . in the S3 bucket name
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Randomizing S3 filenames
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Initializing (pre-warm) EBS volumes
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Summary

Preparing Jenkins code

Before we proceed with Jenkins, allow me to introduce the two new helpers – Packer and Serverspec.

Packer

Note

Please refer to https://github.com/PacktPublishing/Implementing-DevOps-on-AWS/tree/master/5585_05_CodeFiles/CodeCommit/demo-app-cdelivery/packer.

As described:

 

"Packer is a tool for creating machine and container images for multiple platforms from a single source configuration."

 
 --https://www.packer.io

Essentially, Packer is going to, well, pack things for us. We will feed it a template, based on which it will launch an EC2 instance, perform requested tasks (over SSH), then create an AMI from it. Packer can talk to various platforms (AWS, GCE, OpenStack, and so on) to provision resources via local shell, remote (SSH), Salt, Ansible, Chef, and others. As a HashiCorp product, it does not come as a surprise that Packer uses a templating system very similar to Terraform's.

demo-app.json

Here, we define what and how it should be...

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Implementing DevOps on AWS
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