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PostgreSQL Glossary

Replication

The process of copying and maintaining database objects in multiple database environments. Example: Streaming replication keeps standby servers synchroniz…

Definition

The process of copying and maintaining database objects in multiple database environments.

What Replication Means in PostgreSQL

The process of copying and maintaining database objects in multiple database environments.

Replication appears frequently in production operations, architecture decisions, and troubleshooting workflows. Understanding this term helps teams reason about reliability, performance, and safe change management.

Why Replication Matters

Teams that understand Replication can make better decisions on database design, incident response, and release safety.

In modern PostgreSQL environments, this concept often connects directly to backup strategy, performance tuning, and operational confidence.

  • Improves decision quality for production operations
  • Reduces avoidable troubleshooting time
  • Strengthens reliability and recovery planning

Practical Example

Streaming replication keeps standby servers synchronized with the primary for high availability.

Where To Learn More

You can explore deeper implementation patterns in the Vela articles library, review platform workflows in How Vela Works, and compare approaches in our PostgreSQL comparisons.

Related Glossary Topics

Restore restore_command Recovery Target Replication Slot Real-time Analytics ACID Atomicity Archiving (WAL Archiving)

Frequently Asked Questions

What is Replication in PostgreSQL?
The process of copying and maintaining database objects in multiple database environments.
Why is Replication important?
Replication matters because it directly affects how teams build, operate, and recover PostgreSQL systems in production.
Can you give a practical Replication example?
Streaming replication keeps standby servers synchronized with the primary for high availability.
How does Replication relate to backup, recovery, or performance?
In most production deployments, Replication influences one or more of these areas: data safety, restore behavior, and performance under load.
What should teams check first when implementing Replication?
Start with clear operational goals, test in a non-production environment, and validate behavior with repeatable runbooks before relying on it in production.