Week 19 (6 May - 12 May)

Amazon RDS for PostgreSQL supports pgvector 0.7.0

Published Date: 2024-05-10 12:00:00

Amazon Relational Database Service (RDS) for PostgreSQL now supports pgvector 0.7.0, an open-source extension for PostgreSQL for storing vector embeddings in your database, letting you use retrieval-augemented generation (RAG) when building your generative AI applications. This release of pgvector includes features that increase the number of dimensions of vectors you can index, reduce index size, and includes additional support for using CPU SIMD in distance computations. pgvector 0.7.0 adds two new vector data types: halfvec for storing dimensions as 2-byte floats, and sparsevec for storing up to 1,000 nonzero dimensions, and now supports indexing binary vectors using the PostgreSQL-native bit type. These additions let you use scalar and binary quantization for the vector data type using PostgreSQL expression indexes, which reduces the storage size of the index and lowers the index build time. Quantization lets you increase the maximum dimensions of vectors you can index: 4,000 for halfvec and 64,000 for binary vectors. pgvector 0.7.0 also adds functions to calculate both Hamming and Jaccard distance for binary vectors. pgvector 0.7.0 is available on database instances in Amazon RDS running PostgreSQL 16.3 and higher, 15.7 and higher, 14.12 and higher, 13.15 and higher, and 12.19 and higher in all applicable AWS Regions, including the AWS GovCloud (US) Regions. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

Amazon Managed Service for Prometheus collector integrates with Amazon EKS access management controls

Published Date: 2024-05-10 12:00:00

Amazon Managed Service for Prometheus collector, a fully-managed agentless collector for Prometheus metrics now integrates with the Amazon EKS access management controls. Starting today, the collector utilizes the EKS access management controls to create a managed access policy that allows the collector to discover and collect Prometheus metrics. Amazon Managed Service for Prometheus collector with support for EKS access management controls is available in all regions where Amazon Managed Service for Prometheus is available. To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page.

Amazon SageMaker notebooks now support G6 instance types

Published Date: 2024-05-10 07:00:00

We are pleased to announce general availability of Amazon EC2 G6 instances on SageMaker notebooks. Amazon EC2 G6 instances are powered by up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of memory per GPU and third generation AMD EPYC processors. G6 instances offer 2x better performance for deep learning inference compared to EC2 G4dn instances. Customers can use G6 instances to interactively test model deployment and for interactive model training for use cases such as generative AI fine-tuning and inference workloads, natural language processing, language translation, computer vision, and recommender engines. Amazon EC2 G6 instances are available for SageMaker notebooks in the AWS US East (N. Virginia and Ohio) and US West (Oregon) regions. Visit developer guides for instructions on setting up and using JupyterLab and CodeEditor applications on SageMaker Studio and SageMaker notebook instances.

Amazon MQ now supports RabbitMQ version 3.12

Published Date: 2024-05-09 12:00:00

Amazon MQ now?provides support for RabbitMQ version 3.12.13, which includes several fixes and performance improvements to the previous versions of RabbitMQ supported by Amazon MQ. Starting from RabbitMQ 3.12.13, all Classic Queues on Amazon MQ brokers are upgraded to Classic Queues version 2 (CQv2) automatically. All queues on RabbitMQ 3.12 now behave similarly to lazy queues. These changes provide a significant improvement to throughput and lower memory usage for most use cases.? If you are running earlier versions of RabbitMQ, such as 3.8, 3.9, 3.10 or 3.11, we strongly encourage you to upgrade to RabbitMQ 3.12.13. This can be accomplished with just a few clicks in?the AWS Management Console. We also?encourage you to enable automatic minor version upgrades on RabbitMQ 3.12.13 to help ensure your brokers take advantage of future fixes and improvements.? Amazon MQ for RabbitMQ will end support for RabbitMQ versions 3.8, 3.9 and 3.10 as indicated in the version support calendar. To learn more about upgrading, see Managing Amazon MQ for RabbitMQ engine versions in the Amazon MQ Developer Guide. To learn more about the changes in RabbitMQ 3.12, see the Amazon MQ release notes. This version is available in all the regions Amazon MQ is available in. For a full list of available regions see the AWS Region Table.?

Amazon Cognito introduces tiered pricing for machine-to-machine (M2M) usage

Published Date: 2024-05-09 12:00:00

Amazon Cognito introduces pricing for machine-to-machine (M2M) authentication to better support continued growth and expand capabilities. There is no change to Amazon Cognito's user based pricing (monthly active users or MAUs). Customer accounts currently using Amazon Cognito for M2M use cases will be exempt from pricing for 12 months. M2M pricing is based on the number of application clients configured for M2M authentication and the number of tokens requested for them. You can find details on?our pricing page. Amazon Cognito makes it easier to add authentication, authorization, and identity management to your web and mobile apps. In addition to supporting human identities, Cognito's M2M authentication enables developers to leverage machine identities to secure interactions between their services or across organizations. Developers can define machine identities and generate OAuth 2.0 tokens to authenticate them using Cognito user pools that are configured with the OAuth 2.0 client credentials grant. This pricing change applies to only to user pools configured in this way and is not applicable to any other OAuth 2.0 flows. Amazon Cognito is available in 29 AWS Regions globally. To learn more about Amazon Cognito’s support for OAuth 2.0 standards, visit the product documentation page. To get started, visit the Amazon Cognito home page.

Amazon QuickSight launches SPICE capacity auto-purchase API

Published Date: 2024-05-09 07:00:00

Amazon QuickSight is excited to announce the launch of SPICE capacity auto-purchase API. Previously, customers were required to manually turn on SPICE auto-purchase via the console UI. Now with this API enhancement, QuickSight users can programmatically turn on the SPICE capacity auto-purchase, seamlessly integrating it into their adoption and migration pipeline. Once turned on, users don’t need to estimate SPICE usage and manually purchase capacity each time. Instead, they can seamlessly ingest data and use SPICE worry free, as QuickSight will automatically acquire the necessary capacity to meet their usage requirements. For further details, visit here. The new SPICE capacity auto-purchase API is now available in Amazon QuickSight Enterprise Editions in all QuickSight regions - US East (N. Virginia and Ohio), US West (Oregon), Canada, Sao Paulo, Europe (Frankfurt, Stockholm, Paris, Ireland and London), Asia Pacific (Mumbai, Seoul, Singapore, Sydney and Tokyo), and the AWS GovCloud (US-West) Region.

Amazon ECR adds pull through cache support for GitLab.com

Published Date: 2024-05-09 07:00:00

Amazon Elastic Container Registry (ECR) now includes GitLab Container Registry as a supported upstream registry for ECR’s pull through cache feature. With today’s release, customers using GitLab’s software-as-a-subscription offering, GitLab.com, can automatically sync images from the newly supported upstream registry to their private ECR repositories. ECR customers can create a pull through cache rule that maps an upstream registry to a namespace in their private ECR registry. Using Amazon ECR Pull through cache support with GitLab Container Registry requires authentication. Customers can provide credentials that are stored in AWS Secrets Manager and are used to authenticate to the upstream registry. Once rule is configured, images can be pulled through ECR from GitLab Container Registry. ECR automatically creates new repositories for cached images and keeps them in-sync with the upstream registry. Additionally, customers can use repository creation templates (in preview) to specify initial configurations for the new repositories created via pull through cache. Using pull through cache with other registries, customers can be assured of having the latest images from upstream sources in ECR, while also benefiting from the availability, performance, and security of ECR.? Pull through cache rules are supported in all AWS regions, excluding AWS GovCloud (US) Regions and AWS China Regions. To learn more about creating a pull through cache rule in ECR, please visit our user guide.

Amazon RDS for PostgreSQL supports minor versions 16.3, 15.7, 14.12, 13.15, and 12.19

Published Date: 2024-05-09 07:00:00

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions PostgreSQL 16.3, 15.7, 14.12, 13.15, and 12.19. This release of RDS for PostgreSQL also includes support for pgvector 0.7.0, which lets you index vectors larger than 2,000 dimensions and adds support for scalar and binary quantization through expression indexes.? The PostgreSQL community released PostgreSQL 16.3 minor version as of today. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. You are able to leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance window. Learn more about upgrading your database instances in the Amazon RDS User Guide. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

Amazon ElastiCache updates minimum TLS version to 1.2

Published Date: 2024-05-08 12:00:00

Today we are updating the minimum supported TLS version to 1.2 on Amazon ElastiCache compatible with open-source Redis version 6 and above, across all regions. This update is designed to help you meet security, compliance, and regulatory requirements. Amazon ElastiCache supports the Transport Layer Security (TLS) encryption protocol, which is used to secure data in-transit over the network. TLS versions 1.0 and 1.1 are no longer recommended as a security best practice, and we have historically supported them to maintain backward compatibility for customers that have older or difficult to update clients. ElastiCache will continue to support TLS 1.0 and 1.1 until May 8, 2025, and customers must update their client software before that date. For more information about ElastiCache and in-transit encryption (TLS), see our documentation.

Amazon OpenSearch Serverless now available in Europe (Paris) region

Published Date: 2024-05-08 12:00:00

We are excited to announce that Amazon OpenSearch Serverless is expanding availability to the Europe West (Paris) EU-West-3 region. OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that makes it simple to run search and analytics workloads without the complexities of infrastructure management. OpenSearch Serverless’ compute capacity used for data ingestion, search, and query is measured in OpenSearch Compute Units (OCUs). The support for OpenSearch Serverless is now available in 9 regions globally: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe West (Paris). Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.

Amazon Connect launches AWS CloudTrail support for flow management pages

Published Date: 2024-05-08 12:00:00

Amazon Connect now provides AWS CloudTrail support for flow management pages on the Connect admin website. When you add, update, or delete a flow from a flow management page, a record of that activity is available in AWS CloudTrail for visibility, reporting, and compliance, helping you answer questions such as, “who last updated this flow?” or “when was this flow last saved?” These features are supported in all AWS regions where Amazon Connect is offered. To learn more about Connect Flows and AWS see the Amazon Connect Administrator Guide and Amazon Connect API Reference. To learn more about AWS CloudTrail support see the AWS CloudTrail Documentation.

Amazon SageMaker now integrates with Amazon DataZone to help unify governance across data and ML assets

Published Date: 2024-05-08 12:00:00

Amazon SageMaker now integrates with Amazon DataZone making it easier for customers to access machine learning (ML) infrastructure, data and ML assets. This integration will unify data governance across data and ML workflows. ML administrators can setup the infrastructure controls and permissions for ML projects in Amazon DataZone. Project members can collaborate on business use cases and share assets with one another. Data scientists and ML engineers can then create a SageMaker environment and kick start their development process inside SageMaker Studio. Data scientists and ML engineers can also search, discover, and subscribe to data and ML assets in their business catalog within SageMaker Studio. They can consume these assets for ML tasks such as data preparation, model training, and feature engineering in SageMaker Studio and SageMaker Canvas. Upon completing the ML tasks, data scientists and ML engineers can publish data, models, and feature groups to the business catalog for governance and discoverability. This integration is supported in the following AWS Regions where SageMaker and Amazon DataZone are available: Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), South America (S?o Paulo), US East (Ohio), US West (Oregon), and US East (N. Virginia), To learn more, see the Amazon SageMaker ML governance web page and the Amazon SageMaker developer guide.

Amazon Connect launches UI and API support for enhanced search capabilities for Flows and Flow Modules

Published Date: 2024-05-08 12:00:00

Amazon Connect now provides enhanced search capabilities for flows and flow modules on the Connect admin website and programmatically using APIs. You can now search for flows and flow modules by name, description, type, status, and tags, making it easy to filter and identify a specific flow when managing your Connect instances. For example, you can now search for all flows tagged with the Department:Help_Desk key value pair to filter your set of flows down to the specific ones you are looking for. This feature is supported in all AWS regions where Amazon Connect is offered. To learn more about Connect Flows and AWS see the Amazon Connect Administrator Guide and Amazon Connect API Reference. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

AWS Resilience Hub expands application resilience drift detection capabilities

Published Date: 2024-05-08 07:00:00

AWS Resilience Hub has expanded its drift detection capabilities by introducing a new type of drift detection — application resource drift. Following last year’s release of application resilience drift detection, this new enhancement detects changes, such as the addition or deletion of resources within the application's input sources. For both drift detection types, you can enable AWS Resilience Hub scheduled assessment and notification services to receive a notification when a drift occurs. The latest resiliency assessment identifies the drifts and presents remediation actions to bring the application back into compliance with your resilience policy. These detection capabilities, combined with AWS Resilience Hub's scheduled assessments and notification services, empower customers to continuously oversee and manage the resilience of their applications. These capabilities are available in all of the AWS Regions where AWS Resilience Hub is supported. For the most up-to-date availability information, see the AWS Regional Services List. To learn more about drift detection, visit our product page. To get started with AWS Resilience Hub, sign into the AWS console.

Amazon EC2 Inf2 instances, optimized for generative AI, now in new regions

Published Date: 2024-05-08 07:00:00

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances are generally available in the Asia Pacific (Sydney), Europe (London), Europe (Paris), Europe (Stockholm), South America (Sao Paulo) regions. These instances deliver high performance at the lowest cost in Amazon EC2 for generative AI models.? You can use Inf2 instances to run popular applications such as text summarization, code generation, video and image generation, speech recognition, personalization, and more. Inf2 instances are the first inference-optimized instances in Amazon EC2 to introduce scale-out distributed inference supported by NeuronLink, a high-speed, nonblocking interconnect. Inf2 instances offer up to 2.3 petaflops and up to 384 GB of total accelerator memory with 9.8 TB/s bandwidth.? The AWS Neuron SDK integrates natively with popular machine learning frameworks, so you can continue using your existing frameworks to deploy on Inf2. Developers can get started with Inf2 instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon SageMaker. Inf2 instances are now available in four sizes: inf2.xlarge, inf2.8xlarge, inf2.24xlarge, inf2.48xlarge in 13 AWS Regions as On-Demand Instances, Reserved Instances, and Spot Instances, or as part of a Savings Plan. To learn more about Inf2 instances, see the Amazon EC2 Inf2 Instances webpage and the AWS Neuron Documentation.

New Generative Engine with three synthetic English Polly voices

Published Date: 2024-05-08 07:00:00

Today, we are excited to announce the general availability of the highly expressive generative engine with the three English Amazon Polly voices: two American English voices, Ruth and Matthew, and one British English voice Amy.? Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk and to build speech-enabled products depending on your business needs. The generative engine is Amazon Polly's most advanced text-to-speech (TTS) model. It has been trained with a variety of voices, languages, and styles. It performs with the high precision to render context-dependent prosody, pausing, spelling, dialectal properties, foreign word pronunciation, and more. Generative synthetic voices are emotionally engaged, assertive, and highly colloquial in a way that makes them remarkably similar to human voice. We ensured that despite the powerful abilities of the new voices, they are also suitable for low latency online conversational use-cases. Our customers can use a generative voice persona as a knowledgeable customer assistant, a virtual trainer, or an advertiser with a near-human synthetic speech. Ruth, Matthew, and Amy generative voices are accessible in the US East (North Virginia) region and complement the other English voices that are already available for developing speech products for a variety of use cases.? For more details, please read the Amazon Polly documentation and visit our pricing page.

Amazon Connect launches granular access controls (using resource tags) for flows and flow modules

Published Date: 2024-05-08 07:00:00

Amazon Connect now provides granular access controls using resource tags to define who can access specific flows and flow modules from the Connect admin website. For example, you can now tag flows with Department:Support from the flow designer UI, restricting access to only administrators from your support line of business. These features are supported in all AWS regions where Amazon Connect is offered. To learn more about Connect Flows and tag-based access controls, see the Amazon Connect Administrator Guide and Amazon Connect API Reference. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

AWS Cost Anomaly Detection reduces anomaly detection latency by up to 30%

Published Date: 2024-05-07 12:00:00

Starting today, AWS Cost Anomaly Detection will detect cost anomalies up to 30% faster. Customers can now identify and respond to spending changes more quickly. Cost Anomaly Detection leverages advanced machine learning to identify unusual changes in spend, enabling customers to quickly take action to avoid unexpected costs. With this new capability, AWS Cost Anomaly Detection analyzes cost and usage data up to three times a day, instead of daily, to detect anomalies. This means customers can receive notifications, understand root causes, and take action on unexpected spend changes much faster to avoid unplanned spend and optimize cost. The reduced anomaly detection latency applies automatically for all AWS Cost Anomaly Detection customers across all commercial AWS regions globally at no additional cost. To learn more about AWS Cost Anomaly Detection and how to reduce your risk of spend surprises, visit the AWS Cost Anomaly Detection product page.

AWS Budgets now supports resource and tag-based access controls

Published Date: 2024-05-07 12:00:00

AWS Budgets now supports resource and tag-based access controls for easy management and access. You can now add tags to your AWS Budgets resources and define AWS Identity and Access Management (IAM) policies to specify fine-grained permissions for AWS Budgets resources based on their resource names and tags, improving governance and information security through these two granular access control features. With resource-level access controls, you can configure IAM policies that reference budgets using Amazon Resource Names (ARNs) or wildcards, and specify the users, roles and actions that are permitted on the resources. Using tag-based permissions, you can define IAM policies that specify permissions for tagged budgets. For example, you can tag a budget based on a business unit and limit control over those resources to the members of that business unit. Resource and tag based access controls for AWS Budgets is available in all AWS commercial regions, excluding China. You can get started with these new features using the AWS Budgets console or programmatically via the public APIs at no additional cost. To get started, visit AWS Budgets and to learn more visit Using Resource and Tag based access control for budgets. Budget tagging is available in all AWS Regions where AWS Budgets is available and is integrated with AWS CloudTrail to monitor and troubleshoot API activity.

Amazon Titan Text Premier is now available in Amazon Bedrock

Published Date: 2024-05-07 12:00:00

Amazon Titan Text Premier, the latest addition to the Amazon Titan family of large language models (LLMs), is now generally available in Amazon Bedrock. Amazon Titan Text Premier is an advanced, high-performance, and cost-effective LLM engineered to deliver superior performance for enterprise-grade text generation applications, including optimized performance for retrieval-augmented generation (RAG) and Agents.?The model incorporates safe, secure, and trustworthy responsible AI practices and excels in delivering exceptional generative AI text capabilities at scale. Exclusive to Amazon Bedrock, Amazon Titan Text models support a wide range of text-related tasks, including summarization, text generation, classi?cation, question-answering, and information extraction. With Titan Text Premier, you can unlock new levels of efficiency and productivity for your text generation needs. This new model offers optimized performance for key features like RAG on Knowledge Bases for Amazon Bedrock, and function calling on Agents for Amazon Bedrock. Such integrations enable advanced applications like building interactive AI assistants that leverage your APIs and interact with your documents. With Titan Text Premier being available via Amazon Bedrock’s serverless experience, you can easily access the model using a single API and without managing any infrastructure. Amazon Titan Text Premier is now available in Amazon Bedrock in the US East (N. Virginia) AWS Region. To learn more, read the AWS News launch blog, Amazon Titan product page, and documentation. To get started with Titan Text Premier in Amazon Bedrock, visit the Amazon Bedrock console.

AWS Global Accelerator launches new edge location in Türkiye

Published Date: 2024-05-07 12:00:00

AWS Global Accelerator now supports traffic through a new AWS edge location in Istanbul in Türkiye. With the addition of the edge location, Global Accelerator is now available through 117 Points of Presence globally and supports application endpoints in 29 AWS Regions. AWS Global Accelerator is a service that is designed to improve the availability, security, and performance of your internet-facing applications. By using the congestion-free AWS network, end-user traffic to your applications benefits from increased availability, DDoS protection at the edge, and higher performance relative to the public internet. Global Accelerator provides static IP addresses that act as fixed entry endpoints for your application resources in one or more AWS Regions, such as your Application Load Balancers, Network Load Balancers, Amazon EC2 instances, or Elastic IPs. Global Accelerator continually monitors the health of your application endpoints and offers deterministic fail-over for multi-region workloads without any DNS dependencies. To get started, visit the AWS Global Accelerator website and review its documentation.

Amazon RDS for SQL Server Supports Minor Versions 2019 CU26 and 2022 CU12 GDR

Published Date: 2024-05-07 12:00:00

Two 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 2019 and 2022 across the Express, Web, Standard, and Enterprise editions. 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 2019 CU26 -15.0.4365.2 and 2022 CU12 GDR - 16.0.4120.1. 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.

Announcing a larger instance bundle for Amazon Lightsail

Published Date: 2024-05-07 07:00:00

Amazon Lightsail now offers a larger instance bundle with 16 vCPUs and 64 GB memory. The new instance bundle is available with Linux operating system (OS) and application blueprints, for both IPv6-only and dual-stack networking types. You can create instances using the new bundle with pre-configured Linux OS and application blueprints including WordPress, Drupal, Magento, MEAN, LAMP, Node.js, Amazon Linux, Ubuntu, CentOS Stream, and AlmaLinux.? The new larger instance bundle enables you to scale your web applications and run more compute and memory intensive workloads in Lightsail. This higher performance instance bundle is ideal for general purpose workloads that require ability to handle large spikes in load. Using this new bundle, you can run web and application servers, large databases, virtual desktops, batch processing, enterprise applications, and more. This new bundle is now available in all?AWS Regions where Amazon Lightsail is available.?For more information on pricing, or to get started with your free account, click here.

Amazon MemoryDB now supports condition keys for user authentication and encryption in transit

Published Date: 2024-05-07 07:00:00

Today, Amazon MemoryDB launched two new condition keys for IAM policies that enable you to control user authentication and encryption in transit settings during cluster creation. The new condition keys let you create IAM policies or Service Control Policies (SCPs) to enhance security and meet compliance requirements. The first condition key called, memorydb:TLSEnabled, enables you to require a specific encryption in transit setting in your AWS Accounts. For example, you can use the new memorydb:TLSEnabled condition key to enforce that MemoryDB clusters can only be created with encryption in transit enabled. The second condition key called, memorydb:UserAuthenticationMode, enables you to enforce that MemoryDB users have a user authentication setting. For example, you can use the new memorydb:UserAuthenticationMode condition key to require that MemoryDB users have IAM authentication enabled.? Amazon MemoryDB condition keys are now available in all regions where MemoryDB is generally available. To learn more about using condition keys with MemoryDB, please refer to our documentation.?

Agents for Amazon Bedrock now supports Provisioned Throughput pricing model

Published Date: 2024-05-07 07:00:00

Agents for Amazon Bedrock enable developers to create generative AI-based applications that can complete complex tasks for a wide range of use cases and deliver answers based on company knowledge sources. As agentic applications scale, they require higher input and output model throughput compared to on-demand limits. Today, we are launching support for Provisioned Throughput with Agents for Amazon Bedrock. With Provisioned Throughput, you can purchase model units for the specific base model. A model unit provides a certain guaranteed throughput, which is measured by the maximum number of input or output tokens processed per minute. You are charged by the hour for each model unit and you have the flexibility to choose between no commitment, and 1-month or 6-month commitment terms. To learn more about the new capabilities on Bedrock Agents, visit the documentation page.

Announcing Amazon Bedrock Studio preview

Published Date: 2024-05-07 07:00:00

Today, we are announcing the preview launch of Amazon Bedrock Studio, an SSO-enabled web interface that provides the easiest way for developers across an organization to collaborate and build generative AI applications. Developers can login to Bedrock Studio using their company credentials to build, evaluate, and share generative AI apps. Bedrock Studio offers a rapid prototyping environment and streamlines access to multiple Foundation Models (FMs) in and tools like Knowledge Bases, Agents, and Guardrails. To enable Bedrock Studio, AWS administrators can configure one or more workspaces for their organization in the AWS Management Console for Bedrock, and grant permissions to individuals or groups to use the workspace. Once the workspace is set up, developers can log into Bedrock Studio using their SSO credentials and immediately start interacting with FMs and other Bedrock tooling in a playground setting. There is no additional cost to using Bedrock Studio, customers only pay for Bedrock usage (for example, API calls to FMs and hosting of Knowledge Bases) in the AWS account. To learn more, visit the Amazon Bedrock Studio page. Amazon Bedrock Studio is now available in preview in AWS Regions US East (N. Virginia) and US West (Oregon). For more information, see the AWS Region table.

Amazon RDS Performance Insights now supports RDS for Oracle Multitenant

Published Date: 2024-05-07 07:00:00

Amazon RDS (Relational Database Service) Performance Insights now supports the Oracle Multitenant configuration on Amazon RDS for Oracle. An Amazon RDS for Oracle Multitenant instance operates as a container database (CDB) hosting one or more pluggable databases (PDBs).? With this release, Performance Insights has introduced a new PDB dimension to help you visualize and analyze the distribution of the load on individual PDBs within the CDB on a RDS for Oracle instance. Now, you can slice the database load metric by the “PDB” and “SQL” dimensions to identify the top queries running on each of the PDBs. Before this launch, you could visualize the database load only at the CDB level. This PDB-level granular information helps you diagnose database performance issues quickly for instances with an Oracle Multitenant configuration. Amazon RDS Performance Insights is a database performance tuning and monitoring feature of RDS that allows you to visually assess the load on your database and determine when and where to take action. With one click in the Amazon RDS Management Console, you can add a fully-managed performance monitoring solution to your Amazon RDS database. To learn more about RDS Performance Insights, read the Amazon RDS User Guide and visit Performance Insights pricing for pricing details and region availability.??

AWS IoT TwinMaker announces Knowledge Graph optimization for efficient entity-metadata query capabilities

Published Date: 2024-05-06 12:00:00

AWS IoT TwinMaker makes it easier to create digital twins of real-world systems such as buildings, factories, industrial equipment, and production lines. Today, AWS announced enhancements to AWS IoT TwinMaker Knowledge Graph that enable faster and more flexible entity metadata query capabilities for industrial customers. These optimizations provide faster entity-metadata queries using full-text search and wildcard search, addressing the data engineering needs of customers requiring efficient entity metadata access. Industrial customers often deal with large number of entities and require quick, flexible ways to search and retrieve information about their entities. The new TwinMaker Knowledge Graph optimizations allow users to perform full-text searches and use wildcard characters to match and retrieve data more effectively. With the improved entity-metadata query capabilities, customers can now perform full-text searches across their entity data to quickly find relevant information, use wildcard characters in their searches to match and retrieve data more flexibly. These enhancements build upon the existing features of AWS IoT TwinMaker Knowledge Graph, which structures and organizes information about digital twins for easier access and understanding. This feature is available in all regions where AWS IoT TwinMaker is generally available. To learn more, visit AWS IoT TwinMaker developer guide and API reference. Use the AWS Management Console to get started.

Amazon Connect Cases now provides APIs for managing attachments

Published Date: 2024-05-06 12:00:00

Amazon Connect Cases now provides APIs that make it easy to upload files, check file details, and delete files from cases. Contact center administrators can use these APIs to automate the attachment of files to cases. In addition, these APIs also enable you to use case attachments in a custom agent desktop. Amazon Connect Cases is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), and Europe (London). To learn more and get started, visit the webpage and documentation.

Amazon EMR Serverless announces detailed performance monitoring of Apache Spark jobs with Amazon Managed Service for Prometheus

Published Date: 2024-05-06 12:00:00

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Today, we are excited to announce detailed performance monitoring of Apache Spark jobs with Amazon Managed Service for Prometheus, allowing you to analyze, monitor, and optimize your jobs using job-specific engine metrics and information about Spark event timelines, stages, tasks, and executors. Apache Spark provides detailed performance metrics for the driver and executors for jobs such as JVM heap memory, GC, shuffle information etc. These metrics can be used for performance troubleshooting and workload characterization. Amazon Managed Service for Prometheus is a secure, serverless, fully-managed monitoring and alerting service. With EMR Serverless integration with Amazon Managed Service for Prometheus, you can now monitor these performance metrics for multiple applications/jobs in a single view, making it easier for centralized teams to monitor these metrics to identify performance bottlenecks, historical trends etc. This feature is generally available on EMR release versions 7.1.0 and later and in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon), Europe (Stockholm, Paris, Frankfurt, Ireland, London), South America (S?o Paulo) and Asia Pacific (Tokyo, Seoul, Singapore, Mumbai, Sydney). To get started, visit the Monitor Spark metrics with Amazon Managed Service for Prometheus page in the Amazon EMR Serverless User Guide.

Amazon EC2 R7i instances are now available in AWS GovCloud (US-East) Region

Published Date: 2024-05-06 12:00:00

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in AWS GovCloud (US-East) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. R7i instances delivers up to 15% better price-performance compared to prior generation R6i. They offer larger instance sizes up to 48xlarge, can attach up to 128 EBS volumes and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. In addition, R7i instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. To learn more, visit Amazon EC2 R7i instance page.

AWS Firewall Manager is now available in the AWS Canada West (Calgary) region

Published Date: 2024-05-06 12:00:00

AWS Firewall Manager is now available in the AWS Canada West (Calgary) region, enabling customers to create policies for AWS WAF and manage web application security for applications running in this region. Support for other policy types will be available in the coming months. Firewall Manager is now available in a total of 31 AWS commercial regions, 2 GovCloud regions, and all Amazon CloudFront edge locations. AWS Firewall Manager is a security management service that enables customers to centrally configure and manage firewall rules across their accounts and resources. Using AWS Firewall Manager, customers can manage AWS WAF rules, AWS Shield Advanced protections, AWS Network Firewall, Amazon Route53 Resolver DNS Firewall, VPC security groups, and VPC network access control lists (NACLs) across their AWS Organizations. AWS Firewall Manager makes it easier for customers to ensure that all firewall rules are consistently enforced and compliant, even as new accounts and resources are created. To get started, see the AWS Firewall Manager documentation for more details and the AWS Region Table for the list of regions where AWS Firewall Manager is currently available. To learn more about AWS Firewall Manager, its features, and its pricing, visit the AWS Firewall Manager website.

Amazon Connect Contact Lens now provides support for PII redaction in Spanish

Published Date: 2024-05-06 07:00:00

Amazon Connect Contact Lens now provides support for personally identifiable information (PII) redaction in the Spanish (US) language, enabling contact centers to help identify and redact sensitive information on contact transcripts such as social security numbers, credit card details, bank account information, and personal contact information (i.e. name, email address, phone number, and mailing address).? PII redaction for Spanish (US) language is available in all regions where Contact Lens conversational analytics is supported. To learn more, please visit our documentation. This feature is included with Contact Lens conversational analytics at no additional charge. For information about Contact Lens pricing, please visit our pricing page.?

Amazon EMR Studio is now available in the two additional AWS regions

Published Date: 2024-05-06 07:00:00

Starting today, you can use Amazon EMR Studio in the Asia Pacific (Melbourne) and Israel (Tel Aviv) regions to run interactive workloads on EMR. Amazon EMR Studio is an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug big data and analytics applications written in PySpark, Python, Scala, and R. EMR Studio provides fully managed Jupyter Notebooks and tools such as Spark UI and YARN Timeline Service to simplify debugging. You can also enable single sign-on using AWS IAM Identity Center that allows you to log in directly with your corporate credentials without logging into the AWS console. You can learn more by reading the Amazon EMR Studio documentation, visiting the Amazon EMR Studio home page, or watching the Amazon EMR Studio demos.

Amazon FSx for Lustre is now available in the AWS Canada West (Calgary) Region

Published Date: 2024-05-06 07:00:00

Customers can now create Amazon FSx for Lustre file systems in the AWS Canada West (Calgary) Region. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Lustre provides fully managed shared storage built on the world’s most popular high-performance file system, designed for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA).? To learn more about Amazon FSx for Lustre, visit our product page, and see the AWS Region Table for complete regional availability information.

AWS Amplify Gen 2 is now generally available

Published Date: 2024-05-06 07:00:00

AWS Amplify Gen 2, the code-first developer experience for building full-stack apps using TypeScript, is now generally available. Amplify Gen 2 enables developers to express app requirements like the data models, business logic, and authorization rules in TypeScript. The necessary cloud infrastructure is then automatically provisioned, without needing explicit infrastructure definitions. This streamlined approach accelerates full-stack development for teams of all sizes.? Since the public preview, we have added a number of features since the Gen 2 preview : Storage support with revamped authorization capabilities, a file manager TypeScript Functions support with environment variables Custom queries and mutations support for more flexibility with data operations A new Amplify console with features such as custom domains, data management, and PR previews. Integration guides for AI/ML services including: Bedrock, Translate, Polly, and Rekognition Improved relationship modeling behavior across one-to-one, one-to-many, and many-to-many associations Auth enhancements like multiple OIDC providers, user groups support, and granting access to other AWS resources Connect to existing MySQL and PostgreSQL database support This is in addition to all the features launched during the preview.? For more information about the AWS Regions where AWS Amplify’s code-first DX (Gen 2) is available, see the AWS Region table. Get started with Gen 2 by visiting the launch blog.

Amazon FSx for OpenZFS is now available in the AWS Canada West (Calgary) Region

Published Date: 2024-05-06 07:00:00

Customers can now create Amazon FSx for OpenZFS file systems in the AWS Canada West (Calgary) Region. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system, and is designed to deliver sub-millisecond latencies and multi-GB/s throughput along with rich ZFS-powered data management capabilities (like snapshots, data cloning, and compression). To learn more about Amazon FSx for OpenZFS, visit our product page, and see the AWS Region Table for complete regional availability information.

Amazon FSx for NetApp ONTAP is now available in the AWS Canada West (Calgary) Region

Published Date: 2024-05-06 07:00:00

Customers can now create Amazon FSx for NetApp ONTAP file systems in the AWS Canada West (Calgary) Region. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for NetApp ONTAP provides the first and only complete, fully managed NetApp ONTAP file systems in the cloud. It offers the familiar features, performance, capabilities, and APIs of ONTAP with the agility, scalability, and simplicity of an AWS service. To learn more about Amazon FSx for NetApp ONTAP, visit our product page, and see the AWS Region Table for complete regional availability information.

Amazon RDS for Oracle now supports April 2024 Release Update

Published Date: 2024-05-06 07:00:00

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the April 2024 Release Update (RU) for Oracle Database versions 19c and 21c. 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.

Amazon FSx for Windows File Server is now available in the AWS Canada West (Calgary) Region

Published Date: 2024-05-06 07:00:00

Customers can now create Amazon FSx for Windows File Server file systems in the AWS Canada West (Calgary) Region. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Windows File Server provides fully managed, highly reliable file storage built on Windows Server and can be accessed via the industry-standard Server Message Block (SMB) protocol.? To learn more about Amazon FSx for Windows File Server, visit our product page, and see the AWS Region Table for complete regional availability information.