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Amazon Aurora June 2020 Update

Released on June 22nd, 2020

Database Activity Streams now Available for Aurora with MySQL Compatibility

Database Activity Streams for Amazon Aurora with MySQL compatibility provides a near real-time stream of database activities in your relational database. When integrated with third party database activity monitoring tools, Database Activity Streams can monitor and audit database activity to provide safeguards for your database and help you meet compliance and regulatory requirements.

Solutions built on top of Database Activity Streams can protect your database from internal and external threats. The collection, transmission, storage, and processing of database activity is managed outside your database, providing access control independent of your database users and admins. Your database activity is asynchronously pushed to an encrypted Amazon Kinesis data stream provisioned on behalf of your Aurora cluster.

Integrations with IBM Security Guardium, McAfee Data Center Security Suite, and Imperva SecureSphere Database Audit and Protection applications are coming soon for a seamless integration with the Kinesis stream. These partner applications can generate alerts and audit all activity in your Aurora database. 

You can learn more about Database Activity Streams with Aurora MySQL compatibility in the documentation and RDS security pages.

Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. For more information, please visit the Amazon Aurora product page.  

Amazon Aurora Serverless with PostgreSQL Compatibility now Available in Europe (Frankfurt)

Amazon Aurora Serverless with PostgreSQL compatibility is now available in the Europe (Frankfurt) region. 

Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora (MySQL-compatible and PostgreSQL-compatible editions), where the database will automatically start up, shut down, and scale capacity up or down based on your application's needs. It's a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. With Amazon Aurora Serverless, you no longer have to provision or manage database capacity. You simply create an endpoint through the Amazon RDS Management Console, and Aurora Serverless handles the rest. You pay by the second, and only when the database is in use. 

Read about Aurora Serverless on the AWS Blog, the Aurora Serverless product page, and in the Aurora documentation. 

Amazon Aurora is a fully managed relational database that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. With this launch, Aurora Serverless with PostgreSQL compatibility is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt) and Asia Pacific (Tokyo) regions.  

Amazon Aurora with PostgreSQL Compatibility Supports T3.large Instances

Amazon Aurora with PostgreSQL compatibility now supports T3.large instances, in addition to the T3.medium and R5 class instances already available. Using T3.large instances with Amazon Aurora PostgreSQL is a cost-effective option for smaller workloads such as test, dev, and QA, while still giving you the option to use larger class instances for production deployments.

T3 instances provide a baseline level of CPU performance, with the ability to burst CPU usage at any time for as long as required. They offer a balance of compute, memory, and network resources and are ideal for database workloads with moderate CPU usage that experience temporary spikes in use.

When a workload is operating below the baseline threshold, your T3 instance accumulates CPU credits. Each earned CPU credit provides the instance with the opportunity to burst with the performance of a full CPU core for one minute when needed. Amazon Aurora T3 instances are configured for Unlimited Mode, which means they can burst beyond the baseline over a 24-hour window for an additional charge.

You can easily create a new Aurora PostgreSQL T3 instance, or modify your existing Aurora database instance to scale to T3, in the Amazon RDS Management Console. Please refer to the Amazon Aurora User Guide for more details, and to find out which Aurora versions are supported. For pricing and regional availability, see Amazon Aurora Pricing.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security. To learn more about Amazon Aurora with PostgreSQL compatibility, please visit our product page.

Amazon Aurora Supports PostgreSQL Versions 11.7, 10.12, and 9.6.17, and Adds Global Database for PostgreSQL 11.7

Following the announcement of updates to the PostgreSQL database, we have updated Amazon Aurora with PostgreSQL Compatibility to support PostgreSQL minor versions 11.7, 10.12, and 9.6.17. These releases contains bug fixes and improvements from the PostgreSQL community, as well as bug fixes and improvements specific to Aurora PostgreSQL.

The Aurora PostgreSQL 11.7 release adds support for Aurora Global Database, which allows a single Amazon Aurora database to span multiple AWS regions. Global Database replicates your data with no impact on database performance, enables fast local reads with low latency in each region, and provides disaster recovery from region-wide outages.

We have also updated some of the extensions supported in Aurora PostgreSQL: in Aurora PostgreSQL 11.7, we have updated orafce to version 3.8, PGAudit to version 1.3.1 , and pgTAP to version 1.1; in Aurora PostgreSQL 10,12, we have updated orafce to version 3.8, and PGAudit to version 1.2.1; and in Aurora PostgreSQL 9.6.17, we have updated orafce to version 3.8 and PGAudit to version 1.1.2.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security. For more information, please visit the Amazon Aurora product page.

Amazon Aurora PostgreSQL Global Database Supports Managed Recovery Point Objective (RPO)

Amazon Aurora with PostgreSQL Compatibility has added support for managing the recovery point objective (RPO) in an Aurora PostgreSQL Global Database configuration.

Global Database is a database configuration that allows you to create up to five secondary clusters, each in an AWS Region separate from the primary cluster’s Region. These clusters are maintained using storage-based replication, with low Recovery Point Objective (RPO) and low Recovery Time Objective (RTO). With managed RPO, you can ensure that the Global Database will automatically stay within your desired window of data recovery.

Managed RPO monitors the replication lag to ensure that at least one of the secondary clusters stays within the target RPO window. If all secondary clusters fall behind the target RPO, transactions will pause in the primary cluster until at least one of the secondary clusters catches up.

You can configure Managed RPO with the recent launch of Aurora PostgreSQL 11.7 and 10.12. For more information, see the documentation.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security. For more information, please visit the Amazon Aurora product page.

Amazon Aurora with PostgreSQL Compatibility for PostgreSQL 11 is available in AWS GovCloud (US) Regions

Following the April 24, 2020 announcement of the availability of PostgreSQL 11 support with Amazon Aurora with PostgreSQL compatibility in all commercial AWS Regions, we have expanded availability to AWS GovCloud (US) Regions. PostgreSQL 11 includes major improvements to partitioning, improvements to parallelism, and many other useful performance improvements like adding columns with a non-null column default faster. This version includes SQL stored procedures that allow embedded transactions within a procedure.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security. For more information, please visit the Amazon Aurora product page.

Amazon Aurora Snapshots can be Managed via AWS Backup

AWS Backup adds Amazon Aurora database cluster snapshots as its latest protected resource. Starting today, you can use AWS Backup to manage Amazon Aurora database cluster snapshots. AWS Backup can centrally configure backup policies, monitor backup activity, copy a snapshot within and across AWS regions, except for China regions, where snapshots can only be copied from one China region to another. 

Previously, you had to create custom scripts to automate backup scheduling, enforce retention policies, or consolidate backup activity for manual Aurora cluster snapshots, especially when coordinating backups across AWS services. With AWS Backup, you gain a fully managed, policy-based backup solution with snapshot scheduling and snapshot retention management. You can now create, manage, and restore Aurora backups directly from the AWS Backup console for both PostgreSQL-compatible and MySQL-compatible versions of Aurora.

To get started, select an Amazon Aurora cluster from the AWS Backup console and take an on-demand backup or simply assign the cluster to a backup plan. To learn more about Amazon Aurora database cluster snapshots and AWS Backup, please see Aurora DB Cluster and AWS Backup documentation.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better throughput than standard MySQL together with increased scalability, durability, and security.

With AWS Backup, you can centrally configure backup policies and monitor backup activity for AWS resources, including Amazon EBS volumes, Amazon Relational Database Service (RDS) databases (including Aurora clusters), Amazon DynamoDB tables, Amazon Elastic File System(EFS), Amazon EC2 instances, and AWS Storage Gateway volumes.

For more information on where AWS Backup is available, see the AWS region table. To learn more about AWS Backup, please see our product page and documentation.

Amazon Aurora Global Database Supports Read Replica Write Forwarding

An Amazon Aurora Global Database now supports forwarding of write requests from a secondary region to the primary region, to simplify the development of your application code. 

An Aurora Global Database is a single database that spans multiple AWS regions, enabling low latency global reads and disaster recovery from region-wide outages. Today’s launch enhances Global Database by making the location of the primary region transparent to the application. Writes can be sent to a read replica in a secondary region, and will be seamlessly forwarded to the writer in the primary region over a secure communication channel. Aurora sets up this channel so you don’t need to worry about any additional networking setup. Check out this blog to find out how to enable your applications to seamlessly write from anywhere.  

Aurora Global Database replicates writes in the primary region with typical latency of <1 second to secondary regions, for low latency global reads. In disaster recovery situations, you can promote a secondary region to take full read-write responsibilities in under a minute. You can create a new Global Database cluster with just a few clicks in the Amazon RDS Management Console or download the latest AWS SDK or CLI. Read the Aurora documentation to learn more. 

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better throughput than standard MySQL together with increased scalability, durability, and security. See Aurora Pricing for regional availability. 

With AWS Backup, you can centrally configure backup policies and monitor backup activity for AWS resources, including Amazon EBS volumes, Amazon Relational Database Service (RDS) databases (including Aurora clusters), Amazon DynamoDB tables, Amazon Elastic File System(EFS), Amazon EC2 instances, and AWS Storage Gateway volumes.

For more information on where AWS Backup is available, see the AWS region table. To learn more about AWS Backup, please see our product page and documentation.

Amazon Aurora Global Database Supports Read Replica Write Forwarding

An Amazon Aurora Global Database now supports forwarding of write requests from a secondary region to the primary region, to simplify the development of your application code. 

An Aurora Global Database is a single database that spans multiple AWS regions, enabling low latency global reads and disaster recovery from region-wide outages. Today’s launch enhances Global Database by making the location of the primary region transparent to the application. Writes can be sent to a read replica in a secondary region, and will be seamlessly forwarded to the writer in the primary region over a secure communication channel. Aurora sets up this channel so you don’t need to worry about any additional networking setup. Check out this blog to find out how to enable your applications to seamlessly write from anywhere.  

Aurora Global Database replicates writes in the primary region with typical latency of <1 second to secondary regions, for low latency global reads. In disaster recovery situations, you can promote a secondary region to take full read-write responsibilities in under a minute. You can create a new Global Database cluster with just a few clicks in the Amazon RDS Management Console or download the latest AWS SDK or CLI. Read the Aurora documentation to learn more. 

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better throughput than standard MySQL together with increased scalability, durability, and security. See Aurora Pricing for regional availability. 

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