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Implementing DevOps on AWS

You're reading from   Implementing DevOps on AWS Engineering DevOps for modern businesses

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786460141
Length 258 pages
Edition 1st Edition
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Author (1):
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Vaselin Kantsev Vaselin Kantsev
Author Profile Icon Vaselin Kantsev
Vaselin Kantsev
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Toc

Table of Contents (11) Chapters Close

Preface 1. What is DevOps and Should You Care? FREE CHAPTER 2. Start Treating Your Infrastructure as Code 3. Bringing Your Infrastructure Under Configuration Management 4. Build, Test, and Release Faster with Continuous Integration 5. Ever-Ready to Deploy Using Continuous Delivery 6. Continuous Deployment - A Fully Automated Workflow 7. Metrics, Log Collection, and Monitoring 8. Optimize for Scale and Cost 9. Secure Your AWS Environment 10. AWS Tips and Tricks

The backend layer

Behind the application we are likely to find a database cluster of some sort. For this example, we have chosen RDS (MySQL/PostgreSQL). However, the scaling and resilience ideas can be easily translated to suit a custom DB cluster on EC2 instances.

Starting with high-availability, in terms of RDS, the feature is called a Multi-AZ deployment. This gives us a Primary RDS instance with a hot STANDBY replica as a failover solution. Unfortunately, the Standby cannot be used for anything else, that is to say we cannot have it, for example, serving read-only queries.

A Multi-AZ setup within our VPC would look like this:

The backend layer

In the case of a PRIMARY outage, RDS automatically fails over to the STANDBY, updating relevant DNS records in the process. According to the documentation, a typical failover takes one to two minutes.

The triggers include the Primary becoming unavailable (thus failing AWS health-checks), a complete AZ outage, or a user interruption such as an RDS instance reboot...

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