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Developing Modern Database Applications with PostgreSQL

You're reading from Developing Modern Database Applications with PostgreSQL

Product type Book

Published in Aug 2021

Publisher Packt

ISBN-13 9781838648145

Pages 440 pages

Edition 1st Edition

Languages

Concepts

Database Administration

Authors (2):

Dr. Quan Ha Le

Marcelo Diaz

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1 - Introducing PostgreSQL Development and Administration

2. Introduction to PostgreSQL Development and Administration

3. Section 2 - Development in PostgreSQL

4. Setting Up a PostgreSQL RDS for ATMs

5. Using PostgreSQL and Node.js for Banking Transactions

6. Managing Bank ATM Locations Using PostgreSQL and Django

7. Creating a Geospatial Database Using PostGIS and PostgreSQL

8. Managing Banking Transactions using PostgREST

9. Section 3 - Administration in PostgreSQL

10. PostgreSQL with DevOps for Continuous Delivery

11. PostgreSQL High Availability Clusters

12. High-Performance Team Dashboards Using PostgreSQL and New Relic

13. Testing the Performance of Our Banking App with PGBench and JMeter

14. Test Frameworks for PostgreSQL

15. Other Books You May Enjoy

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APPENDIX - PostgreSQL among the Other Current Clouds

Setting up a Node.js project

In Chapter 2, we used Amazon Web Services (AWS) to set up a PostgreSQL RDS. In this chapter, we will use an AWS EC2 instance to create an API from Node.js to PostgreSQL.

An EC2 instance is a virtual server in Elastic Compute Cloud (or EC2) for executing our applications on the cloud infrastructure. Hence EC2 is a service evolving cloud computing platform and there are a variety of types of EC2 instances with different configurations of CPU, memory, storage, and networking resources to suit user needs. Each type is also available in two different sizes to address workload requirements.

In order to launch our EC2 instance for Node.js, we need to select an Amazon Machine Image (AMI), which is a special type of virtual appliance to deploy for services delivered to our EC2 instance. For our Node.js project in this chapter, we will use a good AWS AMI: ami-7d579d00, as seen in Figure 3.1.

We decide to use a CentOS image because CentOS is a very stable Linux version...

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Authors (2)

Dr. Quan Ha Le

Dr. Quan Ha Le graduated with a Ph.D. in computer science from the Queen's University of Belfast, United Kingdom, in 2005. Since his Ph.D. graduation, he has been working as a PostgreSQL database administrator all over Alberta and Ontario, Canada, until now. From 2008 to 2019, Dr. Le Quan Ha administered, designed, and developed 24 small, medium, large, and huge PostgreSQL databases in Canada. Since 2016, after writing a good publication on PostgreSQL database clusters on clouds, he has been a member of the United States PostgreSQL Association (PgUS) in New York City. Dr. Le Quan Ha has also been a board member of the PgUS Diversity committee since 2018.

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Marcelo Diaz

Marcelo Diaz is a software engineer with more than 15 years of experience, with a special focus on PostgreSQL. He is passionate about open source software and has promoted its application in critical and high-demand environments where he has worked as a software developer and consultant for both private and public companies. He currently works very happily at Cybertec and as a technical reviewer for Packt Publishing. He enjoys spending his leisure time with his daughter, Malvina, and his wife, Romina. He also likes playing football.

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