10/29/2024, 12:00:00 AM ~ 10/30/2024, 12:00:00 AM (UTC)

Recent Announcements

Amazon EC2 Mac instances now support Apple macOS Sequoia

Starting today, customers can run Apple macOS Sequoia (version 15) as Amazon Machine Images (AMIs) on Amazon EC2 Mac instances. Apple macOS Sequoia is the latest major macOS version, and introduces multiple new features and performance improvements over prior macOS versions including running Xcode version 16.0 or later (which includes the latest SDKs for iOS, iPadOS, macOS, tvOS, watchOS, and visionOS) and upcoming support for Apple Intelligence.\n Backed by Amazon Elastic Block Store (EBS), EC2 macOS AMIs are AWS-supported images that are designed to provide a stable, secure, and high-performance environment for developer workloads running on EC2 Mac instances. EC2 macOS AMIs include the AWS Command Line Interface, Command Line Tools for Xcode, Amazon SSM Agent, and Homebrew. The AWS Homebrew Tap includes the latest versions of AWS packages included in the AMIs. Apple macOS Sequoia AMIs are available for both x86-based and Apple silicon EC2 Mac instances and are published to all AWS regions where EC2 Mac instances are available today. Customers can get started with macOS Sequoia AMIs via the AWS Console, Command Line Interface (CLI), or API. Learn more about EC2 Mac instances here or get started with an EC2 Mac instance here. You can also subscribe to EC2 macOS AMI release notifications here.

AWS CodeBuild now supports retrying builds automatically

AWS CodeBuild now enables customers to configure automatic retries for their builds, reducing manual intervention upon build failures. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment.\n With this new feature, you can configure a retry limit on your CodeBuild projects, and CodeBuild will automatically retry failed builds up to that limit. This helps you avoid interruptions caused by intermittent failures and eliminates the need for additional infrastructure to monitor and retry builds manually. The automatic retry feature is available in all regions where CodeBuild is offered. For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page. To learn more about CodeBuild configurations, please visit our documentation. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.

Amazon OpenSearch Service now supports dedicated coordinator nodes

Amazon OpenSearch Service now offers customers the option to provision a dedicated coordinator node. Dedicated coordinator nodes relieve data nodes from the responsibilities of traffic coordination and hosting of OpenSearch Dashboards, enabling better resource utilization, and improving overall efficiency of the cluster. In addition, coordinator nodes help reduce the number of private IP addresses that need to be reserved for virtual private cloud (VPC) domains.\n In the absence of a dedicated coordinator node, data nodes perform coordination role alongside their core responsibilities of search, data storage, and indexing. Data nodes also host OpenSearch dashboards. When performing multiple roles, in some scenarios, data nodes may face increased pressure on memory and CPU resources. Provisioning dedicated coordinator nodes helps in offloading traffic coordination, and dashboard hosting responsibilities from data nodes, which can improve the overall resiliency of the cluster. In addition, with dedicated coordinator nodes, OpenSearch VPC domains attach elastic network interfaces (ENI) to these nodes instead of data nodes. Dedicated coordinator nodes usually represent around 10% of the total data nodes. As a result, you require a significantly smaller number of private IP addresses for VPC domains. All OpenSearch versions, and Elasticsearch (open source) versions from 6.8 through 7.10 support the provisioning of a dedicated coordinator node. It is available in all AWS Commercial and the AWS GovCloud (US) Regions where OpenSearch Service is available. See here for a full listing of our regions. To learn more about configuring a dedicated coordinator node in your cluster, please refer to the documentation.

Amazon RDS now supports M7i and R7i database instances

Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now supports M7i and R7i database (DB) instances. M7i and R7i are the latest Intel based offering and are available with a new maximum instance size of 48xlarge, which brings 50% more vCPU and memory than the maximum size of M6i and R6i instance types.\n M7i and R7i DB instances are available for Amazon RDS for PostgreSQL version 16.1 and higher, 15.4 and higher, 14.9 and higher, and 13.11 and higher. M7i and R7i DB instances are also available for Amazon RDS for MySQL version 8.0.32 and higher, and Amazon RDS for MariaDB version 10.11.4 and higher, 10.6.13 and higher, 10.5.20 and higher, and 10.4.29 and higher. These instances are now available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney, Tokyo), Canada (Central), and Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm). For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. Get started by creating any of these fully managed database instance using the Amazon RDS Management Console. For more details, refer to the Amazon RDS User Guide.

Amazon Q Developer announces support for inline chat to streamline the developer experience

Today, Amazon Q Developer announces an enhanced chat experience that allows you to seamlessly initiate chat within the inline coding experience. With this capability, you can select a section of code that you need assistance with and initiate chat within the editor to request actions such as “Optimize this code”, “Add comments”, or “Write tests”.\n With inline chat support, powered by the latest version of Anthropic’s Claude 3.5 Sonnet, Q Developer generates and displays an inline diff (set of code changes) view based on the prompt in real time, making it easy to understand and evaluate suggestions directly from your code editor. You can then use keyboard shortcuts to review and accept changes without needing to switch context between different chat panels in your IDE. This allows you to efficiently complete tasks, improving and streamlining the development process. Inline chat support is available within the Visual Studio Code and JetBrains IDEs and in all AWS regions where Q Developer is available. Learn more about inline chat support.

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