6/21/2024, 12:00:00 AM ~ 6/24/2024, 12:00:00 AM (UTC)

Recent Announcements

Amazon S3 Replication Time Control is now available in the AWS GovCloud (US) Regions

Amazon S3 Replication Time Control (S3 RTC), a feature of S3 Replication that provides a predictable replication time backed by a Service Level Agreement (SLA), is now available in the AWS GovCloud (US) Regions.\n Customers use S3 Replication to replicate billions of objects across buckets to the same or different AWS Regions and to one or more destination buckets. S3 RTC is designed to replicate 99.99% of objects within 15 minutes after upload, with the majority of those new objects replicated in seconds. S3 RTC is backed by an SLA with a commitment to replicate 99.9% of objects within 15 minutes during any billing month. With S3 RTC enabled, customers can also view S3 Replication metrics (via CloudWatch) by default to monitor the time taken to complete replication, the total number and size of objects that are pending replication, as well as the number of objects that failed to replicate per minute due to misconfiguration or permission errors.

AWS Billing and Cost Management now provides Data Exports for Cost Optimization Hub

Data Exports for Cost Optimization Hub now enables customers to export their cost optimization recommendations to Amazon S3. Cost Optimization Hub recommendations are consolidated from over 15 types of AWS cost optimization recommendations, such as EC2 instance rightsizing, Graviton migration, and Savings Plan purchases across their AWS accounts and AWS Regions. Exports are delivered on a daily basis to Amazon S3 in Parquet or CSV format.\n With Data Exports for Cost Optimization Hub, customers receive their recommendations in easy-to-ingest data files, which simplifies creating reports or dashboards. Customers can apply the same filters and preferences to their exports that they use in Cost Optimization Hub to deduplicate savings. Customers can also control the data included in their export using basic SQL column selections and row filters. Data Exports for Cost Optimization Hub makes it easy for customers to bring their recommendation data into analytics and BI tools for tracking, prioritizing, and sharing savings opportunities with key stakeholders. Data Exports for Cost Optimization Hub is available in the US East (N. Virginia) Region, but include recommendations for all AWS Regions, except AWS GovCloud (US) Regions and AWS China (Beijing and Ningxia) Regions.

Learn more about Data Exports for Cost Optimization Hub exports in the Data Exports User Guide and in the Data Exports product details page. You can also learn more about Cost Optimization Hub in the Cost Optimization Hub User Guide. Get started by visiting the “Data Exports” or “Cost Optimization Hub” features in the AWS Billing and Cost Management console and creating an export of the “Cost Optimization Recommendations” table.

Amazon EC2 macOS AMIs are now available on AWS Systems Manager Parameter Store

Starting today, customers can reference the latest macOS AMIs via public parameters on the AWS Systems Manager Parameter Store. With this functionality, customers can query the public parameters to retrieve the latest macOS imageIDs, ensure that new EC2 Mac instances are launched with the latest macOS versions, and display a complete list of all available public parameter macOS AMIs. Public parameters are available for both x86 and ARM64 macOS AMIs and can be integrated with customers’ existing AWS CloudFormation templates.\n This capability is supported in all AWS regions where EC2 Mac instances are available. To learn more about this feature, please visit the documentation here. To learn more about EC2 Mac instances, click here.

Amazon SageMaker JumpStart now provides granular access control for foundation models

Starting today, enterprise admins using Amazon SageMaker JumpStart can easily configure granular access control for foundation models (FM) that are discoverable and accessible to users within their organization. Amazon SageMaker JumpStart is a machine learning (ML) hub that offers pretrained models and built-in algorithms to help you quickly get started with ML.\n Amazon SageMaker JumpStart provides access to hundreds of FMs, however many enterprise admins want more control over the FMs that can be discovered and used by users within their organization (e.g., only allowing Apache 2.0 license models to be discovered). With this new feature, enterprise admins can now create private hubs in SageMaker JumpStart through the SageMaker SDK, and add specific FMs into private hubs that can be accessible to users within their organization. Enterprise admins can also set up multiple private hubs that are tailored for different roles or accounts with a different set of models. Once set, users will be able to view hubs and models they are allowed to view and use through SageMaker Studio and the SageMaker SDK. Granular control of FMs in SageMaker JumpStart can be used initially in US-East (Ohio) starting today. To learn more, see the blog and product page.

AWS Lambda now supports IPv6 for outbound connections in VPC in the AWS GovCloud (US) Regions

AWS Lambda now allows Lambda functions to access resources in dual-stack VPC (outbound connections) over IPv6 in the AWS GovCloud(US) Regions. With this launch, Lambda enables you to scale your application without being constrained by the limited number of IPv4 addresses in your VPC, and to reduce costs by minimizing the need for translation mechanisms.\n Previously, Lambda functions configured with an IPv4-only or dual-stack VPC could access VPC resources only over IPv4. To work around the constrained number of IPv4 addresses in VPC, customers modernizing their applications were required to build complex architectures or use network translation mechanisms. With today’s launch, Lambda functions can access resources in dual-stack VPC over IPv6 and get virtually unlimited scale, using a simple function level switch. You can also enable VPC-configured Lambda functions to access the internet using egress-only internet gateway. Lambda’s IPv6 support for outbound connections in VPC is generally available in the AWS GovCloud (US-West, US-East) Regions. You can enable outbound access for new or existing Lambda functions to dual-stack VPC resources over IPv6 using the AWS Lambda API, AWS Management Console, AWS Command Line Interface (AWS CLI), AWS CloudFormation, AWS Serverless Application Model (AWS SAM), and AWS SDK. For more information on how to enable IPv6 access for Lambda functions in dual-stack VPC, see the Lambda documentation. To learn more about Lambda, see the Lambda developer guide.

AWS Billing and Cost Management now provides Data Exports for FOCUS 1.0 (Preview)

Data Exports for FOCUS 1.0 now enables customers to export their cost and usage data with the FOCUS 1.0 schema to Amazon S3. This feature is in preview. FOCUS is a new open-source cloud billing data specification that provides standardization to simplify cloud financial management across multiple sources. Data Exports for FOCUS 1.0 includes several AWS-specific columns, such as usage types and cost categories, and delivers exports on a daily basis to Amazon S3 as Parquet or CSV files.\n With Data Exports for FOCUS 1.0, customers receive their costs in four standardized columns, ListCost, ContractedCost, BilledCost, and EffectiveCost. It provides a consistent treatment of discounts and amortization of Savings Plans and Reserved Instances. The standardized schema of FOCUS ensures each type of billing data appears in a consistent column with a common set of values, so data can be reliably referenced across sources. Data Exports for FOCUS 1.0 is available in preview in the US East (N. Virginia) Region, but include cost and usage data covering all AWS Regions, except AWS GovCloud (US) Regions and AWS China (Beijing and Ningxia) Regions. Learn more about AWS Data Exports for FOCUS 1.0 in the User Guide, product details page, and at the FOCUS open-source project webpage. Get started by visiting the Data Exports page in the AWS Billing and Cost Management console and creating an export of the “FOCUS 1.0 with AWS columns - preview” table.

Amazon Redshift Query Editor V2 is now available in AWS Canada (Calgary) region

You can now use the Amazon Redshift Query Editor V2 with Amazon Redshift in the AWS Canada (Calgary) region. Amazon Redshift Query Editor V2 makes data in your Amazon Redshift data warehouse and data lake more accessible with a web-based tool for SQL users such as data analysts, data scientists, and database developers. With Query Editor V2, users can explore, analyze, and collaborate on data. It reduces the operational costs of managing query tools by providing a web-based application that allows you to focus on exploring your data without managing your infrastructure.

Default Role in CodeCatalyst Environments

Today Amazon CodeCatalyst announces support for adding a default IAM role to an environment.\n Previously - when a workflow was configured - a user was required to specify the environment, AWS account connection, and IAM role for each individual action in order for that action to interact with AWS resources. With the default IAM role, a user only needs to set the environment for an action and the AWS account connection and role are automatically applied to the action. This feature is available in all AWS Regions where CodeCatalyst is generally available. To get started, add a default role to your environments today. To learn more, see the environments section in the CodeCatalyst documentation.

AWS Blogs

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AWS Cloud Financial Management

AWS Cloud Operations & Migrations Blog

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AWS Database Blog

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AWS Machine Learning Blog

AWS for M&E Blog