Starting today, Amazon Aurora PostgreSQL supports the pglogical extension. pglogical is an open source PostgreSQL extension that helps customers replicate data between independent Aurora PostgreSQL databases while maintaining consistent read-write access and a mix of private and common data in each database. Amazon Aurora pglogical uses logical replication to copy data changes between independent Aurora PostgreSQL databases, optionally resolving conflicts based on standard algorithms. Customers can enable pglogical from within their Aurora PostgreSQL instances, and pay only for the additional clusters and cross-region traffic needed, with no upfront costs or software purchases required. Fully integrated, pglogical requires no triggers or external programs. This alternative to physical replication is a highly efficient method of replicating data using a publish/subscribe model for selective replication.

You can now create Amazon Aurora database clusters with up to 128TB of storage. The new storage limit is available for both the MySQL- and PostgreSQL-compatible editions of Amazon Aurora. Previously, Aurora database instances supported 64TB of storage.

Amazon Elasticsearch Service now offers the latest T3 (general-purpose) instances which offer superior performance and larger storage capacity compared to the previous generations. The T3 instances also support our recently launched features like encryption at rest and in-flight, role based access control, HTTP compression, custom dictionary, SQL, alerting, anomaly detection, and cross-cluster search.

AWS Training and Certification has launched four new courses for our AWS Partner community! First, AWS Solutions Training for Partners: Security Governance at Scale (Technical) teaches solutions architects and technical teams about cloud security best practices for establishing continuous governance and management at scale. Partners will be able to help their customers scale with agility and innovation while providing visibility, control, and governance. Enroll today !

You can now run Amazon Elastic Container Service tasks in the two AWS Local Zones in Los Angeles. With Amazon ECS/EC2 on Local Zones, you can run latency-sensitive applications closer to end-users in Los Angeles. Once you have opted in for using AWS Local Zones, you can create a VPC and subnet in the local zone to deploy EC2 resources into it and attach them to your ECS clusters in AWS US West (Oregon) parent region.  

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce native support for media files in AMR, AMR-WB, Ogg and WebM format by Amazon Transcribe. Previously, you were required to convert these file formats into supported formats like WAV, FLAC, MP3 or MP4 which added extra costs and scaling challenges for large workloads. You can now directly submit media files in AMR, AMR-WB, Ogg, and WebM format to Transcribe APIs. Amazon Transcribe supports OPUS encoded audio for files in Ogg and WebM format.  

For the second time in 2020, Amazon Connect is announcing outbound telephony cost decreases across six countries in Europe. Starting September 1st, Amazon Connect, an easy to use contact center service, decreased the following outbound telephony rates in the EU Central (Frankfurt) and EU West (London) regions for the following six countries: 

Following the announcement of updates to the PostgreSQL database , we have updated Amazon RDS for PostgreSQL to support PostgreSQL minor versions 12.4, 11.9, 10.14, 9.6.19, and 9.5.23. This release contains bug fixes and improvements done by the PostgreSQL community.  

Amazon Corretto 15 is now generally available. This version supports the latest Java feature release JDK 15 and is available on Linux, Windows, and macOS. You can download Corretto 15 here .

You can now use Amazon Redshift to run read queries against tables in your Amazon S3 data lake with open source Apache Hudi or Delta Lake. Amazon Redshift Spectrum, a feature of Amazon Redshift, enables you to query your S3 data lake directly from your Redshift cluster without first loading the data into it, minimizing time to insight.