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AWS Certified SysOps Administrator ??? Associate Guide

You're reading from   AWS Certified SysOps Administrator ??? Associate Guide Your one-stop solution for passing the AWS SysOps Administrator certification

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788990776
Length 584 pages
Edition 1st Edition
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Author (1):
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Marko Sluga Marko Sluga
Author Profile Icon Marko Sluga
Marko Sluga
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Table of Contents (26) Chapters Close

Preface 1. Overview of AWS Certified SysOps Administrators and Associated Certification 2. The Fundamentals of Amazon Web Services FREE CHAPTER 3. Managing AWS Security with Identity and Access Management 4. Networking with the Virtual Private Cloud 5. Managing Servers on AWS with Elastic Compute Cloud 6. Handling Server Traffic with Elastic Load Balancing 7. Understanding Simple Storage Service and Glacier 8. Understanding Content Distribution with CloudFront 9. AWS Storage Options 10. Working with the Route 53 Domain Name System 11. Working with Relational Database Services 12. Introduction to ElastiCache 13. Amazon DynamoDB - A NoSQL Database Service 14. Working with Simple Queue Service 15. Handling Messaging with Simple Notification Service 16. Getting Started with Simple Workflow Service 17. Overview of AWS Lambda 18. Monitoring Resources with Amazon CloudWatch 19. Understanding Elastic Beanstalk 20. Automation with the CloudFormation Service 21. Cloud Orchestration with OpsWorks 22. Exam Tips and Tricks 23. Mock Tests 24. Assessments 25. Other Books You May Enjoy

Read replicas

The second way to get more performance out of our cluster is to introduce read replicas. With typical relational databases, the read-to-write ratios are usually in favor of reads by a factor of a few. Typical access patterns could be as high as 80% read and 20% write, or even as high as 90-10 or more. By introducing read replicas, we allow the application to distribute the reads to the read replicas and relieve the master or primary instance of the reads.

With the MySQL, MariaDB, and PostgreSQL engines, the read replicas can be created within the same region or another region and are done with the engine's native asynchronous replication capabilities. This means that the data in the read replicas might see a bit of a lag and serve stale data, so we need to handle this in the application we are deploying. This can be useful for business intelligence (BI) or analytics...

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