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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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Creating alarms using CloudWatch and SNS

Up to this point, we have focused on exposing metrics to better understand what is happening around us. We can now access the data and create nice visualizations of it, but that is not enough. Mean time to discover (MTD) and Mean time to recover (MTTR) are two very common metrics used to see how the operations team, and by extension the DevOps team, is performing. To keep those two metrics as low as possible, automated alerts are essential. A good alerting system will often help to rapidly identify issues in your systems and help minimize service degradation and disruption. That said, creating the proper alarms isn't always as easy as it sounds.

What should we be alerted about? Measuring everything doesn't mean being alerted about everything. As a rule of thumb, aim at creating alerts about symptoms rather than causes, and be...

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