---
title: CTP Topic 66 Exposing the differences between PostgreSQL RDS and Aurora
type: cloud-learning
source-type: video
category: DevOps & SRE/01_AWS-Landing-Zone
tags:
  - AWS
  - RDS
  - Aurora
  - PostgreSQL
  - CTP
date-added: 2026-04-14
video-source: nas:///volume2/work/Public Cloud Learning Sessions/CTP _ Topic 66_ Exposing the differences between PostgreSQL RDS and Aurora.mp4
audio-source: ""
status: summarized (Gemini 摘要)
---

# CTP Topic 66 Exposing the differences between PostgreSQL RDS and Aurora

**Source:** NAS `/volume2/work/Public Cloud Learning Sessions/CTP _ Topic 66_ Exposing the differences between PostgreSQL RDS and Aurora.mp4`

**Type:** VIDEO | **Category:** 01_AWS-Landing-Zone

**Status:** 🟡 Awaiting Whisper transcription → Summary

---

## 摘要

> ## RDS vs. Aurora: Key Differences

Greg Klau presented a detailed comparison of PostgreSQL on Amazon RDS and Aurora, focusing on performance, cost, and use cases. The session covered choosing between the two, running blue-green and cross-region operations, monitoring, and network performance tweaks for high availability.

### Key Differences and Considerations

*   **Minimum Size and Cost:** RDS offers smaller, cheaper instances suitable for small databases, while Aurora has a higher minimum size and cost due to its architecture.
*   **Maximum Size and Performance:** Aurora scales to larger databases and offers better IO performance, making it suitable for databases exceeding 10-20 terabytes.
*   **Auto Scaling:** Aurora offers auto-scaling (Serverless v2) but with limitations on instance shapes, versions, and regions.
*   **Recovery Time Objective (RTO):** Aurora boasts a 30-second RTO, compared to RDS's two minutes in the event of an AZ failure.
*   **Storage Flexibility:** RDS provides more storage options (GP2, GP3, provisioned IOPS, magnetic), while Aurora charges per IO.
*   *With RDS, you get to choose multiple different storage mechanisms.*
*   *Aurora IO is generally unbounded because they're motivated to give you as much IO as you can consume because they're charging you per IO.*

### Architectural Comparison

*   **RDS:** Uses compute with attached storage (EBS). Multi-AZ setup involves another compute and storage node for failover. Replication across regions is asynchronous.
*   **Aurora:** Employs six EBS volumes across three availability zones, managed by Amazon. Adding compute uses the same cluster volume, avoiding data replication for read replicas. Aurora Global allows multi-region setups with asynchronous replication.
*   *With Aurora, you get six EBS volumes. They're spread across three availability zones.*
*   **Endpoints:** RDS has one endpoint per cluster, while Aurora has separate writer and reader endpoints.

### Database Switchover and Failover

*   **RDS:** Requires blocking access, forcing a new primary, destroying the old cluster, and rebuilding it as a standby.
*   **Aurora:** Allows clean, managed switchovers using Aurora Global, without re-replication. Failover involves promoting a secondary region and re-adding the failed region as a new global cluster after it recovers.

### Blue-Green Deployments (Aurora MySQL Only)

*   Aurora MySQL supports blue-green deployments for major version upgrades, creating a duplicate environment for testing before switching over. This involves logical replication to a green environment, with guardrails to prevent data loss.

### Monitoring

*   Both RDS and Aurora offer monitoring options via CloudWatch, Grafana, and Performance Insights. Performance Insights provides a view of database load, query performance, and wait times.
*   Aurora utilizes free local storage (ephemeral SSD) for temporary work, which is fixed per instance type. RDS uses EBS for temporary storage.

### High Availability Performance Tweaks

*   Lower DNS time to live (TTL) to one second for faster failover.
*   Adjust TCP Keep-Alive settings to detect database failures quickly.
*   Use JDBC connection string overloading with reader and writer endpoints for resilience.


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*最后更新: 2026-04-14*