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AWS for System Administrators

You're reading from   AWS for System Administrators Build, automate, and manage your infrastructure on the most popular cloud platform – AWS

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800201538
Length 388 pages
Edition 1st Edition
Tools
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Author (1):
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Prashant Lakhera Prashant Lakhera
Author Profile Icon Prashant Lakhera
Prashant Lakhera
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: AWS Services and Tools
2. Chapter 1: Setting Up the AWS Environment FREE CHAPTER 3. Chapter 2: Protecting Your AWS Account Using IAM 4. Section 2: Building the Infrastructure
5. Chapter 3: Creating a Data Center in the Cloud Using VPC 6. Chapter 4: Scalable Compute Capacity in the Cloud via EC2 7. Section 3: Adding Scalability and Elasticity to the Infrastructure
8. Chapter 5: Increasing an Application's Fault Tolerance with Elastic Load Balancing 9. Chapter 6: Increasing Application Performance Using AWS Auto Scaling 10. Chapter 7: Creating a Relational Database in the Cloud using AWS Relational Database Service (RDS) 11. Section 4: The Monitoring, Metrics, and Backup Layers
12. Chapter 8: Monitoring AWS Services Using CloudWatch and SNS 13. Chapter 9: Centralizing Logs for Analysis 14. Chapter 10: Centralizing Cloud Backup Solution 15. Chapter 11: AWS Disaster Recovery Solutions 16. Chapter 12: AWS Tips and Tricks 17. Other Books You May Enjoy

Chapter 9: Centralizing Logs for Analysis

Log analysis is a critical piece of any infrastructure. The log is the first place that we usually start debugging. In a dynamic environment such as the cloud, sometimes log management becomes expensive as, because of the dynamic nature of the cloud, instances can come and go at any time if placed under an autoscaling group. The other factor that we need to bear in mind is the storage cost as these instances produce large files, which will increase your storage cost.

This chapter will start by looking at how to set up the CloudWatch agent, a centralized place to store all the logs. As we are dealing with a large amount of data in the cloud environment, we need someplace where we can store it for a quicker search, and for that purpose, we will use Amazon Elasticsearch. Finally, we will need some visualization tools to view that data, and for this we will use Kibana.

In this chapter, we are going to cover the following main topics:

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