I just lately wrote a post to announce the supply of M6g, R6g and C6g households of cases on Amazon Elastic Compute Cloud (EC2). These cases provide higher cost-performance ratio than their x86 counterparts. They’re based mostly on AWS-designed AWS Graviton2 processors, using 64-bit Arm Neoverse N1 cores.

Beginning immediately, you too can profit from higher cost-performance in your Amazon Relational Database Service (RDS) databases, in comparison with the earlier M5 and R5 era of database occasion varieties, with the supply of AWS Graviton2 processors for RDS. You may select between M6g and R6g occasion households and three database engines (MySQL 8.0.17 and better, MariaDB 10.4.13 and better, and PostgreSQL 12.Three and better).

M6g cases are perfect for normal objective workloads. R6g cases provide 50% extra reminiscence than their M6g counterparts and are perfect for reminiscence intensive workloads, akin to Huge Information analytics.

Graviton2 cases present as much as 35% efficiency enchancment and as much as 52% price-performance enchancment for RDS open supply databases, based mostly on inside testing of workloads with various traits of compute and reminiscence necessities.

Graviton2 cases household consists of a number of new efficiency optimizations akin to bigger L1 and L2 caches per core, increased Amazon Elastic Block Retailer (EBS) throughput than comparable x86 cases, absolutely encrypted RAM, and plenty of others as detailed on this page. You may profit from these optimizations with minimal effort, by provisioning or migrating your RDS cases immediately.

RDS cases can be found in a number of configurations, beginning with 2 vCPUs, with Eight GiB reminiscence for M6g, and 16 GiB reminiscence for R6g with as much as 10 Gbps of community bandwidth, providing you with new entry-level normal objective and reminiscence optimized cases. The desk under exhibits the listing of occasion sizes obtainable for you:

Occasion Measurement vCPU Reminiscence (GiB) Devoted EBS Bandwidth (Mbps) Community Bandwidth
(Gbps)
M6g R6g
massive 2 8 16 As much as 4750 As much as 10
xlarge 4 16 32 As much as 4750 As much as 10
2xlarge 8 32 64 As much as 4750 As much as 10
4xlarge 16 64 128 4750 As much as 10
8xlarge 32 128 256 9000 12
12xlarge 48 192 384 13500 20
16xlarge 64 256 512 19000 25

Let’s Begin Your First Graviton2 Based mostly Occasion
To start out a brand new RDS occasion, I take advantage of the AWS Management Console or the AWS Command Line Interface (CLI), identical to ordinary, and choose one of many db.m6g or db.r6goccasion varieties (this page in the documentation has all the main points).

RDS Launch Graviton2 instance

Utilizing the CLI, it could be:

aws rds create-db-instance
 --region us-west-2 
 --db-instance-identifier $DB_INSTANCE_NAME 
 --db-instance-class db.m6g.massive 
 --engine postgres 
 --engine-version 12.3 
 --allocated-storage 20 
 --master-username $MASTER_USER 
 --master-user-password $MASTER_PASSWORD

The CLI confirms with:

{
    "DBInstance": 
        "DBInstanceIdentifier": "newsblog",
        "DBInstanceClass": "db.m6g.massive",
        "Engine": "postgres",
        "DBInstanceStatus": "creating",
...

Migrating to Graviton2 cases is easy, within the AWS Management Console, I choose my database and I click on Modify.

Modify RDS database

The I choose the brand new DB occasion class:

modify db instance

Or, utilizing the CLI, I can use the modify-db-instance API name.

There’s a quick service interruption occurring while you change occasion kind. By default, the modification will occur throughout your subsequent upkeep window, except you allow the ApplyImmediately possibility.

You may provision new or migrate to Graviton2 Amazon Relational Database Service (RDS) cases in all areas the place EC2 M6g and R6g can be found : US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Eire), and Europe (Frankfurt) AWS Areas.

As ordinary, tell us your suggestions on the AWS Forum or via your ordinary AWS contact.

— seb





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