11/7/2024, 12:00:00 AM ~ 11/8/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS introduces service versioning and deployment history for Amazon ECS services

Amazon Elastic Container Service (Amazon ECS) now allows you to view the service revision and deployment history for your long-running applications deployed as Amazon ECS services. This capability makes it easier for you to track and view changes to applications deployed using Amazon ECS, monitor on-going deployments, and debug deployment failures.\n Typically, customers deploy long running applications as Amazon ECS services and deploy software updates using a rolling update mechanism where tasks running the old software version are gradually replaced by tasks running the new version. With today’s release, you can now view the deployment history for your Amazon ECS services on the AWS Management Console as well as using the new listServiceDeployments API. You can look at the details of a specific deployment, including whether it succeeded, when it started and completed, and service revision information before and after the deployment using the Console and describeServiceDeployment API. Furthermore, you can look at the immutable configuration for a specific service version, including the task definition, container image digests, load balancer, service connect configuration, etc. using the Console and describeServiceRevision API. You can view the service version and deployment history for their services deployed on or after October 25, 2024 using the AWS Management Console, API, SDK, and CLI in all AWS Regions. To learn more, visit this blog post and documentation.

AWS Lambda announces JSON logging support for .NET managed runtime

AWS Lambda now enables you to natively capture application logs in JSON structured format for Lambda functions that use .NET Lambda managed runtime. JSON format allows logs to be structured as a series of key-value pairs, enabling you to quickly search, filter, and analyze large volumes of logs to easily troubleshoot failures and understand the performance of your Lambda functions.\n We previously announced support for natively capturing application logs (logs generated by your Lambda function code) and system logs (logs generated by the Lambda service while executing your function code) in JSON structured format for Python, Node.js, and Java managed runtimes. However, for .NET managed runtime, you could only natively capture system logs in JSON structured format. To capture application logs in JSON structured format, you had to manually configure logging libraries. This launch enables you to capture application logs in JSON structured format for functions that use .NET managed runtime without having to use your own logging libraries. To get started, you can set log format to JSON for Lambda functions that use any .NET managed runtime using Lambda API, Lambda console, AWS CLI, AWS Serverless Application Model (SAM), and AWS CloudFormation. To learn more, visit the launch blog post. You can learn about Lambda logging in the Lambda logging controls blog post or Lambda Developer Guide. JSON structured logging support for .NET is now available in all AWS Regions where Lambda is available, except for China and GovCloud Regions, at no additional cost. For more information, see the AWS Region table.

Configure Route53 CIDR blocks rules based on Internet Monitor suggestions

With Amazon CloudWatch Internet Monitor’s new traffic optimization suggestions feature, you can configure your Amazon Route 53 CIDR blocks to map your application’s client users to an optimal AWS Region based on network behavior.\n Internet Monitor now provides actionable suggestions to help you optimize your Route 53 IP-based routing configurations. By leveraging the new traffic insights for your application, you can easily identify the optimal AWS Regions for routing your end user traffic, and then configure your Route 53 IP-based routing based on these recommendations. Internet Monitor collects performance data and measures latency for your client subnets behind each DNS resolver. This enables Internet Monitor to recommend the AWS Region that will provide the lowest latency for your users, based on their locations, so that you can fine-tune your DNS routing to provide the best performance for users. To learn more, visit the Cloud Watch Internet Monitor user guide documentation.

Amazon Bedrock now available in the Europe (Zurich) Regions

Beginning today, customers can use Amazon Bedrock in the Europe (Zurich) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications.\n Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.

Amazon OpenSearch Service launches next-gen UI for enhanced data exploration and collaboration

Amazon OpenSearch Service launches a modernized operational analytics experience that enables users gain insights cross data spanning managed domains and serverless collections from a single endpoint. The launch also includes Workspaces to enhance collaboration and productivity, allowing teams to create dedicated spaces. Discover is revamped to provide a unified log exploration experience supporting languages such as SQL and Piped-Processing-Language (PPL), in addition to DQL and Lucene. Discover now features a data selector to support multiple sources, new visual design and query autocomplete for improved usability. This experience ensures users can access the latest UI enhancements, regardless of version of underlying managed cluster or collection.\n The new OpenSearch analytics experience helps users gain insights from their operational data by providing purpose-built features for observability, security analytics, essentials and search use cases. With the enhanced Discover interface, users can now analyze data from multiple sources without switching tools, improving efficiency. Workspaces enable better collaboration by creating dedicated environments for teams to work on dashboards, saved queries, and other relevant content. Availability of the latest UI updates across all versions ensures uninterrupted access to the newest features and tools. The new OpenSearch user interface can connect to OpenSearch domains (above version 1.3) and serverless collections. It is now available in 13 AWS commercial regions. To get started, create an OpenSearch application in AWS Management Console. Learn more at Amazon OpenSearch Service Developer Guide.

Amazon SNS supports message archiving and replay for FIFO topics in the AWS GovCloud (US) Regions

Amazon SNS now supports in-place message archiving and replay for SNS FIFO topics in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions.\n Topic owners can now set an archive policy, which defines a retention period for the messages published to their topic. Subscribers can then set a replay policy to an individual subscription, which triggers a replay of select messages from the archive, from a starting point until an ending point. Subscribers can also set a filter policy on their subscription to further select the messages in-scope for a replay. To get started, see the following resources:

Message archiving and replay, in the Amazon SNS Developer Guide

Archiving and replaying messages with Amazon SNS FIFO, in the AWS Compute Blog

AWS Mainframe Modernization achieves FedRAMP Moderate and SOC compliance

AWS Mainframe Modernization has added approval for Federal Risk and Authorization Management Program (FedRAMP) Moderate and System and Organization Controls (SOC) reports.\n AWS Mainframe Modernization has achieved Federal Risk and Authorization Management Program (FedRAMP) Moderate authorization, listed on the FedRAMP marketplace, approved by the FedRAMP Joint Authorization Board (JAB) for the AWS US East / West Region which includes US East (Ohio), US East (N. Virginia), US West (N. California), and US West (Oregon) Regions. FedRAMP is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. AWS Mainframe Modernization is now System and Organization Controls (SOC) compliant. AWS System and Organization Controls (SOC) Reports are independent third-party examination reports that demonstrate how AWS achieves key compliance controls and objectives. The purpose of these reports is to help you and your auditors understand the AWS controls established to support operations and compliance. AWS Mainframe Modernization is SOC compliant in all AWS regions where it is generally available, including the AWS GovCloud (US) Regions. The AWS Mainframe Modernization service allows customers and partners to modernize and migrate on-premise mainframe applications and test, run, and operate them on AWS Cloud native managed runtimes. It enables modernization patterns like refactor and replatform, as well as augmentation patterns supported by data replication and file transfer. To learn more, please visit AWS Mainframe Modernization service product and documentation pages.

Amazon Bedrock Prompt Management is now generally available

Earlier this year, we launched Amazon Bedrock Prompt Management in preview to simplify the creation, testing, versioning, and sharing of prompts. Today, we’re announcing its general availability and adding several new key features. First, we are introducing the ability to easily run prompts stored in your AWS account. Amazon Bedrock Runtime APIs Converse and InvokeModel now support executing a prompt using a Prompt identifier. Next, while creating and storing the prompts, you can now specify system prompt, multiple user/assistant messages, and tool configuration in addition to the model choice and inference configuration available in preview — this enables advanced prompt engineers to leverage function calling capabilities provided by certain model families such as the Anthropic Claude models. You can now store prompts for Bedrock Agents in addition to Foundation Models, and we have also introduced the ability to compare two versions of a prompt to quickly review the differences between versions. Finally, we now support custom metadata to be stored with the prompts via the Bedrock SDK, enabling you to store metadata such as author, team, department, etc. to meet your enterprise prompt management needs.\n Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Learn more here and in our documentation. Read our blog here.

AWS Clean Rooms ML supports privacy-enhanced model training and inference

Today, AWS announces AWS Clean Rooms ML custom modeling, which enables organizations to generate predictive insights with their partners running their own machine-learning (ML) models and using their data in a clean rooms collaboration. With this launch, companies and their partners can train ML models and run inference on collective datasets without having to share sensitive data or proprietary models.\n For example, advertisers can bring their proprietary model and data into a Clean Rooms collaboration, and invite publishers to join their data to train and deploy a custom ML model that helps them increase campaign effectiveness—all without sharing their custom model and data with one another. Similarly, financial institutions can use historical transaction records to train a custom ML model, and invite partners into a Clean Rooms collaboration to detect potential fraudulent transactions, without having to share underlying data and model among collaborators. With AWS Clean Rooms ML custom modeling, you can gain valuable insights with your partners while applying privacy-enhancing controls when running model training and inferencing by specifying the datasets to be used in a Clean Rooms environment. This allows you and your partners to approve the datasets used, and removes the need to share sensitive data or proprietary models with one another. AWS Clean Rooms ML also offers an AWS-authored lookalike modeling capability that can help you improve lookalike segment accuracy by up to 36% compared to industry baselines. AWS Clean Rooms ML is available as a capability of AWS Clean Rooms in these AWS Regions. To learn more, visit AWS Clean Rooms ML.

Amazon OpenSearch Service announces Extended Support for engine versions

Today, we announce end of Standard Support and Extended Support timelines for legacy Elasticsearch versions and OpenSearch Versions. Standard Support ends on Nov 7, 2025, for legacy Elasticsearch versions up to 6.7, Elasticsearch versions 7.1 through 7.8, OpenSearch versions from 1.0 through 1.2, and OpenSearch versions 2.3 through 2.9. With Extended Support, for an incremental flat fee over regular instance pricing, you continue to get critical security updates beyond end of Standard Support. For more information, see blog.\n All Elasticsearch versions will receive at least 12 months of Extended Support with Elasticsearch v5.6 receiving 36 months of Extended Support. OpenSearch versions running on OpenSearch Service, will get at least 12 months of Standard Support after end of support date for corresponding upstream open-source OpenSearch version, or at least 12 months of Standard Support after release of next minor version on OpenSearch Service, whichever is longer. For support timelines by version, please see documentation. While running a version in Extended Support, you will be charged an additional flat fee per Normalized Instance Hour (NIH) (e.g. $0.0065/NIH for US East (N. Virginia). NIH is computed as a factor of instance size (e.g. medium, large), and number of instance hours. For more information on Extended Support charges, please see pricing page. End of support and Extended Support dates are applicable to all OpenSearch Service clusters running OpenSearch or Elasticsearch versions, in all AWS regions where Amazon OpenSearch Service is available. Please refer AWS Region Table for more information about Amazon OpenSearch Service availability.

Amazon EC2 High Memory instances now available in South America (Sao Paulo) Region

Starting today, Amazon EC2 High Memory instances with 9TiB of memory (u-9tb1.112xlarge) and 18TiB of memory (u-18tb1.112xlarge) are now available in South America (Sao Paulo) region. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options.\n Amazon EC2 High Memory instances are certified by SAP for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, and SAP BW/4HANA in production environments. For details, see the Certified and Supported SAP HANA Hardware Directory. For information on how to get started with your SAP HANA migration to EC2 High Memory instances, view the Migrating SAP HANA on AWS to an EC2 High Memory Instance documentation. To hear from Steven Jones, GM for SAP on AWS on what this launch means for our SAP customers, you can read his launch blog.

Express brokers for Amazon MSK is now generally available

Today, AWS announces the general availability of Express brokers for Amazon Managed Streaming for Apache Kafka (Amazon MSK). Express brokers are a new broker type for Amazon MSK Provisioned designed to deliver up to 3x more throughput per broker, scale up to 20x faster, and reduce recovery time by 90% as compared to standard Apache Kafka brokers. Express brokers come preconfigured with Kafka best practices by default, support all Kafka APIs, and provide the same low-latency performance that Amazon MSK customers expect, so they can continue using existing client applications without any changes.\n With Express brokers, customers can provision, scale up, and scale down Kafka cluster capacity in minutes, offload storage management with virtually unlimited pay-as-you-go storage, and build highly resilient applications. Customers can also continue using all of the Amazon MSK key features, including security, connectivity, and observability options, as well as popular integrations, including Amazon MSK Connect, Amazon Simple Storage Service (Amazon S3), AWS Glue Schema Registry, and more. Express brokers are currently available on Kafka version 3.6 and come in three different sizes of Graviton3-based M7g instances: large, 4xlarge, and 16xlarge. Each broker is charged an hourly rate with storage and data ingested charged separately on a pay-as-you-go basis. 

Express brokers are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

To learn more, check out the Amazon MSK overview page, pricing page, and developer guide.

To learn more about Express brokers, visit this AWS blog post.

Amazon RDS for SQL Server supports minor versions in October 2024

New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports these latest minor versions of SQL Server 2016, 2017, 2019 and 2022 across the Express, Web, Standard, and Enterprise editions.\n We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor versions include:

SQL Server 2016 SP3 GRD - 13.0.6450.1

SQL Server 2017 CU31 - 14.0.3480.1

SQL Server 2019 CU28 - 15.0.4395.2

SQL Server 2022 CU15 - 16.0.4150.1

These minor versions are available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions. Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.

Amazon Verified Permissions launches new API to get multiple policies

Amazon Verified Permissions has launched a new API called batchGetPolicies. Customers can now make a single API call that returns multiple policies, for example to populate a list of policies that apply to a specific principal or resource. Amazon Verified Permissions is a permissions management and fine-grained authorization service for the applications that you build. Amazon Verified Permissions uses the Cedar policy language to enable developers and admins to define policy-based access controls based on roles and attributes. For example, a patient management application might call Amazon Verified Permissions (AVP) to determine if Alice is permitted access to Bob’s patient records.\n The new API accepts up to 100 policy IDs and returns the corresponding set of policies, from across one or more policy stores. This simplifies the integration and reduces latency. Using the API reduces the number of calls that an application needs to make to Verified Permissions. For example, when building a permissions management UX that lists Cedar policies, the application now needs to make only one call to get 50 policies, rather than making 50 calls. This feature is available in all regions where Verified Permissions is available. Pricing is based on the number of policies requested. For more information on pricing visit Amazon Verified Permissions Pricing – AWS - Amazon Web Services. For more information on the service visit Fine-Grained Authorization - Amazon Verified Permissions - AWS.

Amazon RDS for Oracle now supports October 2024 Release Update

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the October 2024 Release Update (RU) for Oracle Database versions 19c and 21c.\n To learn more about Oracle RUs supported on Amazon RDS for each engine version, see the Amazon RDS for Oracle Release notes. If the auto minor version upgrade (AmVU) option is enabled, your DB instance is upgraded to the latest quarterly RU six to eight weeks after it is made available by Amazon RDS for Oracle in your AWS Region. These upgrades will happen during the maintenance window. To learn more, see the Amazon RDS maintenance window documentation. For more information about the AWS Regions where Amazon RDS for Oracle is available, see the AWS Region table.

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