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PostgreSQL High Availability and Scalability

PostgreSQL availability and scale require deliberate architecture choices. This course will teach you how to design, configure, and operate HA and scalability patterns using replication, failover, pooling, read replicas, and monitoring.

Intermediate
1h 43m

Created by Gerald Britton

Last Updated Nov 03, 2026

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  • Course

PostgreSQL High Availability and Scalability

PostgreSQL availability and scale require deliberate architecture choices. This course will teach you how to design, configure, and operate HA and scalability patterns using replication, failover, pooling, read replicas, and monitoring.

Intermediate
1h 43m

Created by Gerald Britton

Last Updated Nov 03, 2026

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What you'll learn

PostgreSQL systems often need to stay online through failures while supporting more users, more connections, and heavier read workloads. In this course, PostgreSQL High Availability and Scalability, you'll gain the ability to design and operate practical PostgreSQL availability and scaling patterns. First, you'll explore building physical streaming replication and inspecting the WAL, lag, and slot behavior behind it. Next, you'll discover how to compare asynchronous, synchronous, and quorum synchronous replication while practicing promotion and failover mechanics. Finally, you'll learn how to add PgBouncer, route read traffic to replicas, use logical replication for selective scale-out, and evaluate monitoring signals that help you choose the right architecture. When you're finished with this course, you'll have the skills and knowledge to plan and validate PostgreSQL HA and scalability approaches needed to align with real operational environments.

PostgreSQL High Availability and Scalability
Intermediate
1h 43m
Table of contents

About the author
Gerald Britton - Pluralsight course - PostgreSQL High Availability and Scalability
Gerald Britton
23 courses 4.2 author rating 635 ratings

Gerald is a multiple-year of the Microsoft MVP award, Gerald has led introductory classes in Python and SQL for industry-sponsored events at Ryerson University, Toronto and the University of Toronto (his alma mater). 

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