Book Image

Implementing DevOps on AWS

By : Vaselin Kantsev
Book Image

Implementing DevOps on AWS

By: Vaselin Kantsev

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 (17 chapters)
Implementing DevOps on AWS
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Free Chapter
1
What is DevOps and Should You Care?
4
Build, Test, and Release Faster with Continuous Integration

Centralized logging


Since the olden days, mankind has strived to use its limited attention span only on what really matters in life, and without having to look for it too hard – if possible. So we started with copying log files around, evolution brought us centralized (r)syslog and today (we learn from our mistakes) we have Logstash and Elasticsearch.

 

Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. It combines the speed of search with the power of analytics via a sophisticated, developer-friendly query language covering structured, unstructured, and time-series data.

Logstash is a flexible, open source data collection, enrichment, and transportation pipeline. With connectors to common infrastructure for easy integration, Logstash is designed to efficiently process a growing list of log, event, and unstructured data sources for distribution into a variety of outputs, including Elasticsearch.

 
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