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Effective DevOps with AWS

Effective DevOps with AWS

By : Felsen
4.3 (6)
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Effective DevOps with AWS

Effective DevOps with AWS

4.3 (6)
By: Felsen

Overview of this book

The DevOps movement has transformed the way modern tech companies work. AWS which has been on the forefront of the Cloud computing revolution has also been a key contributor of this DevOps movement creating a huge range of managed services that help you implement the DevOps principles. In this book, you’ll see how the most successful tech start-ups launch and scale their services on AWS and how you can too. Written by a lead member of Mediums DevOps team, this book explains how to treat infrastructure as code, meaning you can bring resources online and offline as necessary with the code as easily as you control your software. You will also build a continuous integration and continuous deployment pipeline to keep your app up to date. You’ll find out how to scale your applications to offer maximum performance to users anywhere in the world, even when traffic spikes with the latest technologies, such as containers and serverless computing. You will also take a deep dive into monitoring and alerting to make sure your users have the best experience when using your service. Finally, you’ll get to grips with ensuring the security of your platform and data.
Table of Contents (9 chapters)
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Scaling Your Infrastructure

In Chapter 4, Adding Continuous Integration and Continuous Deployment, in order to illustrate how deploying code works with CodeDeploy, we created a very rudimentary architecture to host our staging and production environments. Each of those environments was composed of only a single EC2 instance.

While this served us well to illustrate our CI/CD pipelines, this approach is of course not recommended when actually deploying an application in production. In this chapter, we will fix that design flow and also address most concerns an engineering organization could have with regard to scaling a typical web application.

We will look at scaling from the angle of performance, where an application gets an increasing amount of traffic, and also for redundancy purposes so that we can handle possible failures in our systems.

Scaling isn't necessarily a DevOps...

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