From 34b10e70374bf93b472c936e531b1f848afd3198 Mon Sep 17 00:00:00 2001
From: Luca-Dorin Anton <32638173+LucaDorinAnton@users.noreply.github.com>
Date: Sat, 24 Sep 2022 13:30:50 +0100
Subject: [PATCH] Aurora now scales up to 128TB:
 https://aws.amazon.com/about-aws/whats-new/2020/09/amazon-aurora-increases-maximum-storage-size-128tb/

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index d82c0a6..b90a03d 100644
--- a/README.md
+++ b/README.md
@@ -911,7 +911,7 @@ Aurora is the AWS flagship DB known to combine the performance and availability
 
 - Automated backups are always enabled on Aurora instances and backups don’t impact DB performance. You can also take snapshots which also don’t impact performance. Your snapshots can be shared across AWS accounts.
 - A common tactic for migrating RDS DBs into Aurora RDs is to create a read replica of a RDS MariaDB/MySQL DB as an Aurora DB. Then simply promote the Aurora DB into a production instance and delete the old MariaDB/MySQL DB.
-- Aurora starts w/ 10GB and scales per 10GB all the way to 64 TB via storage autoscaling. Aurora's computing power scales up to 32vCPUs and 244GB memory
+- Aurora starts w/ 10GB and scales per 10GB all the way to 128 TB via storage autoscaling. Aurora's computing power scales up to 32vCPUs and 244GB memory
 
 ### Aurora Serverless:
 - Aurora Serverless is a simple, on-demand, autoscaling configuration for the MySQL/PostgreSQl-compatible editions of Aurora. With Aurora Serverless, your instance automatically scales up or down and starts on or off based on your application usage. The use cases for this service are infrequent, intermittent, and unpredictable workloads.