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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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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

Metrics

For ingesting, storing and alerting on our metrics, we shall explore another, quite popular open-source project called Prometheus:

 

Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud.

Prometheus's main features are:

-a multi-dimensional data model (time series identified by metric name and key/value pairs)

- a flexible query language to leverage this dimensionality

- no reliance on distributed storage; single server nodes are autonomous

- time series collection happens via a pull model over HTTP

- pushing time series is supported via an intermediary gateway

- targets are discovered via service discovery or static configuration

- multiple modes of graphing and dashboarding support

 
 --https://prometheus.io/docs/introduction/overview/emphasis>

Even though it is the kind of system that takes care of pretty much everything, the project still follows the popular UNIX philosophy of modular development. Prometheus is composed...

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