Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now supports AWS Graviton2-based M6gd database instances in Asia Pacific (Jakarta, Osaka) and Europe (Stockholm) regions, and R6gd database instances in the Asia Pacific (Jakarta) region.

Starting today, customers can use Amazon Bedrock in the AWS GovCloud (US-West) Region to easily build and scale generative AI applications. 

AWS Config now supports 1000 AWS Config rules per Region per account. AWS Config rules, available as predefined managed rules and or as user created custom rules, enable you to define policies that govern cloud resource configurations to meet your compliance requirements. AWS Config continuously tracks the configuration changes that occur among your resources and reports if these changes do not comply with the conditions in your rules.

Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services. Starting today, these instances are available in AWS Region Europe (London).

Today, AWS announces the general availability of Customer Managed Key (CMK) support in AWS CodeCommit as part of the AWS Key Management Service (KMS). Customer managed keys are KMS keys that customers create, manage and own. This capability allows customers to use customer managed keys instead of AWS KMS keys to encrypt CodeCommit repositories at rest.

Customers can now use customer managed keys defined in AWS Key Management Service to encrypt data residing in their Amazon Managed Service for Prometheus workspaces. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. Prometheus is a popular Cloud Native Computing Foundation open-source project for monitoring and alerting on metrics from compute environments such as Amazon Elastic Kubernetes Service. 

Amazon Aurora PostgreSQL-Compatible Edition now supports a redesigned RDS Data API for Aurora Serverless v2 (ASv2) and Aurora provisioned database instances. You can now access these Aurora clusters via a secure HTTP endpoint and run SQL statements without the use of database drivers and without managing connections.

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 15.5, 14.10, 13.13, 12.17. These releases contain product improvements and bug fixes made by the PostgreSQL community, along with Aurora-specific improvements. This release also contains new features and improvements such as group role authentication support using AWS Directory Service for Microsoft Active Directory with the new pg_ad_mapping extension, Amazon Bedrock integration for Generative AI , and Babelfish for Aurora PostgreSQL version 3.4 . As a reminder, if you are running any version of Amazon Aurora. PostgreSQL 11, you must upgrade to a newer major version by February 29, 2024.

Today, AWS announces two methods to integrate Amazon Aurora PostgreSQL databases with Amazon Bedrock to power generative AI applications. First, Amazon Aurora ML now provides access to foundation models available through Amazon Bedrock directly through SQL. Second, Knowledge Bases for Amazon Bedrock now supports Amazon Aurora as a vector store for Retrieval Augmented Generation (RAG). 

If, knowing nothing about it, you were asked who were the greatest savers in the OECD, you would probably guess those wongaphiles the Swiss. And you’d beright. According to data …

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