Graviton2-Based T4g Instances Now Available on Amazon Aurora

Amazon makes Graviton2-based T4g instances available on Amazon Aurora MySQL-compatible and Amazon Aurora PostgreSQL-compatible editions.


On September 10, 2021, AWS confirmed reports of a performance-oriented development on Graviton T4g database instances by synergizing them with Amazon Aurora.

AWS Graviton2-based T4g database instances are now supported by Amazon Aurora
AWS Graviton2-based T4g database instances are now supported by Amazon Aurora
Key Facts
  1. 1

    These instances are compatible with both Amazon Aurora editions.

  2. 2

    The usage of these instances are not limited to 24 hours

  3. 3

    Users can now modify the instances through standard modification techniques.

  4. 4

    The integration is amplifying Graviton2 t4g database instances over generational counterparts.


Amazon's cloud computing arm has made intra-house modifications to the limited performance of its Graviton2 T4g database instances by introducing compatibility with Amazon Aurora.

Initially, T4g instances provided the groundwork for CPU performance, potentially amplifying CPU usage when required, without a time limit. These instances balance memory, compute, and network resources, and they maintain suitability for database workloads moderating CPU usage that leads to temporary strain during operations. AWS Graviton2-based T4g database instances are now supported by Amazon Aurora, which means they can perform groundwork operations over 24 hours in the condition of additional charges.

Upon integration with Amazon Aurora, Graviton2-based T4g database instances now offer performance improvement scaled around 49% over generational counterparts - x86-based database instances. Users can launch Graviton2-based T4g instances with both editions of Amazon Aurora - MySQL-compatible or PostgreSQL-compatible.

Users can modify a DB cluster's settings to do operations such as modifying the backup retention period or database port. Users can also make changes to DB instances in a DB cluster, such as altering their DB instance class or enabling Performance Insights.

Before modifying a production DB cluster or DB instance, Amazon advises that users perform sweep operations to test for any changes on a test DB cluster or DB instance to understand any change's implications fully. When upgrading database versions, sticking to adhere to these rules is highly critical.

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