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Developing Modern Database Applications with PostgreSQL

You're reading from   Developing Modern Database Applications with PostgreSQL Use the highly available and object-relational PostgreSQL to build scalable and reliable apps

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781838648145
Length 440 pages
Edition 1st Edition
Languages
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Authors (2):
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Marcelo Diaz Marcelo Diaz
Author Profile Icon Marcelo Diaz
Marcelo Diaz
Quan Ha Le Quan Ha Le
Author Profile Icon Quan Ha Le
Quan Ha Le
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Table of Contents (17) Chapters Close

Preface 1. Section 1 - Introducing PostgreSQL Development and Administration
2. Introduction to PostgreSQL Development and Administration FREE CHAPTER 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 APPENDIX - PostgreSQL among the Other Current Clouds

Adding new metric data for PostgreSQL

The Metric API is a way to get metric data from AWS PostgreSQL RDS into New Relic dashboards. A metric means a numeric measurement of an application, a system, or a database. Metrics are typically reported on a regular schedule. There are two types of metrics:  

  • Aggregated data: the rate of some event per minute
  • A numeric status at a moment in time: for example, the CPU% used status

Metrics are a strong solution for monitoring dashboards. The metrics that are used in New Relic are as follows:

  • readIops: This measures the average number of disk I/O operations per second.
  • writeIops: This measures the average number of disk I/O operations per second.
  • databaseConnections: This measures the number of connections to an instance.
  • cpuUtilization: This measures the percentage of CPU used by a DB instance.
  • readLatency: This measures the average amount of time taken per disk I/O operation, in seconds.
  • writeLatency:&...
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