AWS makes it easier for developers to build serverless applications by bringing Serverless Land’s extensive application pattern library directly into the Visual Studio Code (VS Code) IDE. This integration eliminates the need to switch between your development environment and external resources when building serverless architectures by enabling you to browse, search, and implement pre-built serverless patterns directly in VS Code IDE. This new feature simplifies and accelerates the process of building serverless applications using VS Code IDE.

Serverless Land provides hundreds of curated serverless application patterns covering popular use cases across AWS services like AWS Lambda, Amazon Simple Queue Service (SQS), Amazon API Gateway, AWS Step Functions, Amazon EventBridge, and many more. With Serverless Land integration in VS Code IDE, you can now use familiar VS Code interface to search and filter application patterns based on AWS services, Infrastructure as Code (IaC) frameworks, and language runtime requirements. When you find a pattern that matches your use case, you can preview the implementation details and download the pattern code directly to your workspace using the Quick Pick functionality of VS Code. This integration ensures that you now have easy access to reliable serverless application patterns which are regularly updated and align with AWS best practices, enhancing your serverless development experience.

The Serverless Land patterns are now available to all developers with the AWS Toolkit (v3.48.0 or later) installed on their VS Code IDE. To learn more about this experience and how to get started, visit the AWS Toolkit developer guide. To learn more about Serverless Land patterns, visit ServerlessLand.com.

 

​AWS makes it easier for developers to build serverless applications by bringing Serverless Land’s extensive application pattern library directly into the Visual Studio Code (VS Code) IDE. This integration eliminates the need to switch between your development environment and external resources when building serverless architectures by enabling you to browse, search, and implement pre-built serverless patterns directly in VS Code IDE. This new feature simplifies and accelerates the process of building serverless applications using VS Code IDE. Serverless Land provides hundreds of curated serverless application patterns covering popular use cases across AWS services like AWS Lambda, Amazon Simple Queue Service (SQS), Amazon API Gateway, AWS Step Functions, Amazon EventBridge, and many more. With Serverless Land integration in VS Code IDE, you can now use familiar VS Code interface to search and filter application patterns based on AWS services, Infrastructure as Code (IaC) frameworks, and language runtime requirements. When you find a pattern that matches your use case, you can preview the implementation details and download the pattern code directly to your workspace using the Quick Pick functionality of VS Code. This integration ensures that you now have easy access to reliable serverless application patterns which are regularly updated and align with AWS best practices, enhancing your serverless development experience. The Serverless Land patterns are now available to all developers with the AWS Toolkit (v3.48.0 or later) installed on their VS Code IDE. To learn more about this experience and how to get started, visit the AWS Toolkit developer guide. To learn more about Serverless Land patterns, visit ServerlessLand.com.  

Etiquetas:

• Eventos
• Tecnología

The post Microsoft celebra 50 años appeared first on Source LATAM.

 

​The post Microsoft celebra 50 años appeared first on Source LATAM.  

Amazon EventBridge expands execution role support to AWS Lambda, Amazon SNS, and Amazon SQS event bus targets, making this feature available for all target types. We recommend configuring execution roles for all your EventBridge targets to benefit from consistent permissions policies and dedicated invocation throttle limits.

Amazon EventBridge Event Bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. An execution role is an AWS Identity and Access Management (IAM) role that EventBridge assumes when invoking a target, giving you fine-grained control over which AWS services and resources EventBridge can access. The expansion to Lambda, SNS, and SQS targets allows consistent permissions across all EventBridge targets, enables setting permissions for multiple targets within a single IAM policy, and can help manage throughput by using your account-specific limits.

This feature is available in all AWS Regions, including AWS GovCloud (US). To learn more, please visit our documentation or get started in the AWS Management Console.

 

​Amazon EventBridge expands execution role support to AWS Lambda, Amazon SNS, and Amazon SQS event bus targets, making this feature available for all target types. We recommend configuring execution roles for all your EventBridge targets to benefit from consistent permissions policies and dedicated invocation throttle limits. Amazon EventBridge Event Bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. An execution role is an AWS Identity and Access Management (IAM) role that EventBridge assumes when invoking a target, giving you fine-grained control over which AWS services and resources EventBridge can access. The expansion to Lambda, SNS, and SQS targets allows consistent permissions across all EventBridge targets, enables setting permissions for multiple targets within a single IAM policy, and can help manage throughput by using your account-specific limits. This feature is available in all AWS Regions, including AWS GovCloud (US). To learn more, please visit our documentation or get started in the AWS Management Console.  

Amazon EventBridge now supports Software-as-a-Service (SaaS) partner integrations in the AWS GovCloud (US) Regions, enabling government customers and organizations in regulated industries to build event-driven architectures that connect their AWS applications with supported third-party SaaS partners. With EventBridge partner integrations, customers can receive events from supported SaaS providers without writing custom code for API integration.

Amazon EventBridge Event Bus is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up routing rules to determine where to send your events, allowing your application to react to changes in your systems as they occur. Event buses make it easier to build event-driven applications by facilitating event ingestion, delivery, security, authorization, and error handling.

This integration enables you to enhance your operational efficiency through automated responses to SaaS partner events. For example, government organizations using third-party partners for infrastructure and application monitoring can automatically trigger remediation actions when the partner detects performance anomalies or system alerts. This could include automatically scaling resources, creating incident tickets, or notifying operations teams through AWS services like AWS Lambda, or AWS Step Functions.

This feature is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. To get started with EventBridge partner integrations, visit the Amazon EventBridge Integration page or refer to the documentation for detailed implementation guidelines and best practices.

 

​Amazon EventBridge now supports Software-as-a-Service (SaaS) partner integrations in the AWS GovCloud (US) Regions, enabling government customers and organizations in regulated industries to build event-driven architectures that connect their AWS applications with supported third-party SaaS partners. With EventBridge partner integrations, customers can receive events from supported SaaS providers without writing custom code for API integration. Amazon EventBridge Event Bus is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up routing rules to determine where to send your events, allowing your application to react to changes in your systems as they occur. Event buses make it easier to build event-driven applications by facilitating event ingestion, delivery, security, authorization, and error handling. This integration enables you to enhance your operational efficiency through automated responses to SaaS partner events. For example, government organizations using third-party partners for infrastructure and application monitoring can automatically trigger remediation actions when the partner detects performance anomalies or system alerts. This could include automatically scaling resources, creating incident tickets, or notifying operations teams through AWS services like AWS Lambda, or AWS Step Functions. This feature is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. To get started with EventBridge partner integrations, visit the Amazon EventBridge Integration page or refer to the documentation for detailed implementation guidelines and best practices.  

Amazon Cognito is now available in the AWS Asia Pacific (Malaysia) Region. This launch introduces all Amazon Cognito features and tiers: Essentials, Lite, and Plus, allowing customers to use comprehensive and flexible authentication and access control features to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. Cognito allows customers to scale authentication to millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect.

For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to:

• Developer Guide
• Product Detail Page
• Pricing Detail Page

 

​Amazon Cognito is now available in the AWS Asia Pacific (Malaysia) Region. This launch introduces all Amazon Cognito features and tiers: Essentials, Lite, and Plus, allowing customers to use comprehensive and flexible authentication and access control features to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. Cognito allows customers to scale authentication to millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect. For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to:

Developer Guide
Product Detail Page
Pricing Detail Page  

Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs is now available in Asia Pacific(Seoul) Region. G6e instances can be used for a wide range of machine learning and spatial computing use cases.

Customers can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage. Developers can run AI inference workloads on G6e instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Kubernetes Service (Amazon EKS) ,AWS Batch, and Amazon SageMaker.

Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo, Seoul), and Europe (Frankfurt, Spain, Stockholm) Regions. Customers can purchase G6e instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans.

To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6e instance page.

 

​Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs is now available in Asia Pacific(Seoul) Region. G6e instances can be used for a wide range of machine learning and spatial computing use cases. Customers can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage. Developers can run AI inference workloads on G6e instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Kubernetes Service (Amazon EKS) ,AWS Batch, and Amazon SageMaker. Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo, Seoul), and Europe (Frankfurt, Spain, Stockholm) Regions. Customers can purchase G6e instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6e instance page.  

DeepSeek-R1 is now available as a fully managed, serverless model in Amazon Bedrock. AWS is the first cloud service provider to deliver DeepSeek-R1 as a fully managed, generally available model. You can power your applications with DeepSeek-R1’s capabilities through Amazon Bedrock’s fully managed service via a single API along with Amazon Bedrock’s tools, allowing your team to focus on building differentiated generative AI applications right away. By using Amazon Bedrock to deploy DeepSeek-R1, you also get seamless access to enterprise-grade security, monitoring, and cost-control features essential for deploying AI responsibly at scale, all while giving you complete control over your data.

DeepSeek-R1 is a publicly available model under MIT license that delivers exceptional accuracy and deep contextual understanding. DeepSeek-R1 combines powerful natural language processing with advanced reasoning capabilities, demonstrated by its leading performance in mathematics where it achieved 79.28% on AIME 2024, and software engineering where it achieved a 49.2% score on SWE-bench Verified. DeepSeek-R1 provides a cost-effective option for unlocking advanced AI reasoning capabilities efficiently, maximizing your technology investment. To help you deploy DeepSeek-R1 responsibly in production environments, Amazon Bedrock provides comprehensive and customizable safeguards through Amazon Bedrock Guardrails. This includes sensitive information filtering and customizable security controls—particularly valuable for organizations operating in regulated environments. We highly recommend integrating guardrails with your DeepSeek-R1 deployments to add robust protection for your generative AI applications.

DeepSeek-R1 is available fully managed in Amazon Bedrock in the US East (N. Virginia), US East (Ohio), and US West (Oregon) AWS Regions via cross-region inference. You can also use DeepSeek-R1 and its distilled variants via Amazon Bedrock Marketplace and Amazon Bedrock Custom Model Import. To learn more, visit the launch blog, DeepSeek on Amazon Bedrock product page, Amazon Bedrock pricing, and documentation. To get started with DeepSeek in Amazon Bedrock, visit the Amazon Bedrock console.

 

​DeepSeek-R1 is now available as a fully managed, serverless model in Amazon Bedrock. AWS is the first cloud service provider to deliver DeepSeek-R1 as a fully managed, generally available model. You can power your applications with DeepSeek-R1’s capabilities through Amazon Bedrock’s fully managed service via a single API along with Amazon Bedrock’s tools, allowing your team to focus on building differentiated generative AI applications right away. By using Amazon Bedrock to deploy DeepSeek-R1, you also get seamless access to enterprise-grade security, monitoring, and cost-control features essential for deploying AI responsibly at scale, all while giving you complete control over your data. DeepSeek-R1 is a publicly available model under MIT license that delivers exceptional accuracy and deep contextual understanding. DeepSeek-R1 combines powerful natural language processing with advanced reasoning capabilities, demonstrated by its leading performance in mathematics where it achieved 79.28% on AIME 2024, and software engineering where it achieved a 49.2% score on SWE-bench Verified. DeepSeek-R1 provides a cost-effective option for unlocking advanced AI reasoning capabilities efficiently, maximizing your technology investment. To help you deploy DeepSeek-R1 responsibly in production environments, Amazon Bedrock provides comprehensive and customizable safeguards through Amazon Bedrock Guardrails. This includes sensitive information filtering and customizable security controls—particularly valuable for organizations operating in regulated environments. We highly recommend integrating guardrails with your DeepSeek-R1 deployments to add robust protection for your generative AI applications. DeepSeek-R1 is available fully managed in Amazon Bedrock in the US East (N. Virginia), US East (Ohio), and US West (Oregon) AWS Regions via cross-region inference. You can also use DeepSeek-R1 and its distilled variants via Amazon Bedrock Marketplace and Amazon Bedrock Custom Model Import. To learn more, visit the launch blog, DeepSeek on Amazon Bedrock product page, Amazon Bedrock pricing, and documentation. To get started with DeepSeek in Amazon Bedrock, visit the Amazon Bedrock console.  

AWS WAF’s new partner solutions page, available today, enables you to easily discover and implement PCI DSS v4.0 compliance solutions for your web applications. Choose from industry-leading security providers Human Security and Datadome, who offer client-side protection solutions directly through the AWS WAF console. These partner integrations simplify the process of finding and implementing security solutions, allowing you to quickly subscribe to partner offerings and protect your applications with just a few clicks. The new partner solutions page is designed to help you spend less time researching compliance solutions and more time building secure applications for your customers.

Getting started is simple and straightforward. Navigate to the new ‘add-on protection’ page in the AWS WAF console, filter for ‘client-side protections’, and choose your preferred partner solution. You maintain a direct relationship with your chosen security provider while benefiting from streamlined discovery and on-boarding through AWS WAF.

To get started, visit the AWS WAF console.
 

 

​AWS WAF’s new partner solutions page, available today, enables you to easily discover and implement PCI DSS v4.0 compliance solutions for your web applications. Choose from industry-leading security providers Human Security and Datadome, who offer client-side protection solutions directly through the AWS WAF console. These partner integrations simplify the process of finding and implementing security solutions, allowing you to quickly subscribe to partner offerings and protect your applications with just a few clicks. The new partner solutions page is designed to help you spend less time researching compliance solutions and more time building secure applications for your customers. Getting started is simple and straightforward. Navigate to the new ‘add-on protection’ page in the AWS WAF console, filter for ‘client-side protections’, and choose your preferred partner solution. You maintain a direct relationship with your chosen security provider while benefiting from streamlined discovery and on-boarding through AWS WAF. To get started, visit the AWS WAF console.    

Amazon Elastic Container Service (Amazon ECS) today introduced GPU-optimized Amazon Machine Image (AMI) for Amazon Linux 2023 (AL2023). This new offering enables customers to run GPU-accelerated containerized workloads on Amazon ECS while leveraging improved security features and newer kernel version available on AL2023.

The new ECS GPU-optimized AMI is built on the minimal AL2023 base AMI and includes NVIDIA drivers, NVIDIA Fabric Manager, NVIDIA Container Toolkit, and other essential packages needed to run GPU-accelerated container workloads. The new AMI supports a wide range of NVIDIA GPU architectures including Ampere, Turing, Volta, Maxwell, Hopper, and Ada Lovelace, and works out-of-the-box with no additional configuration required. The new AMI is designed for GPU-accelerated applications such as machine learning (ML) and artificial intelligence (AI) workloads running on Amazon ECS.

The ECS GPU-optimized AL2023 AMI is now available in all AWS regions. For additional information about running GPU-accelerated workloads with Amazon ECS, refer to the documentation and release notes.
 

 

​Amazon Elastic Container Service (Amazon ECS) today introduced GPU-optimized Amazon Machine Image (AMI) for Amazon Linux 2023 (AL2023). This new offering enables customers to run GPU-accelerated containerized workloads on Amazon ECS while leveraging improved security features and newer kernel version available on AL2023. The new ECS GPU-optimized AMI is built on the minimal AL2023 base AMI and includes NVIDIA drivers, NVIDIA Fabric Manager, NVIDIA Container Toolkit, and other essential packages needed to run GPU-accelerated container workloads. The new AMI supports a wide range of NVIDIA GPU architectures including Ampere, Turing, Volta, Maxwell, Hopper, and Ada Lovelace, and works out-of-the-box with no additional configuration required. The new AMI is designed for GPU-accelerated applications such as machine learning (ML) and artificial intelligence (AI) workloads running on Amazon ECS. The ECS GPU-optimized AL2023 AMI is now available in all AWS regions. For additional information about running GPU-accelerated workloads with Amazon ECS, refer to the documentation and release notes.    

Today, Amazon EMR on EKS announces support for Amazon EKS Pod Identity, simplifying the setup of IAM permissions required by EMR on EKS jobs to access other AWS resources. With this launch, you can configure IAM permissions through a single API call, significantly reducing complexity and potential for errors. The new feature also allows you to leverage IAM roles across multiple clusters without the need to update IAM trust policies for use in new clusters, improving reusability and operational efficiency.

To run workloads on Amazon EMR on EKS, customers need to create a job execution IAM role that pods in EKS cluster will use to interact with other AWS resources such as Amazon S3 buckets. Previously, customers had to perform multiple configuration steps such as creating an OIDC identity provider and updating IAM’s role trust policy. Role trust policy size also limited the number of EKS clusters that customers could reuse a job execution role across. Now, customers can configure IAM permissions through a single API call and reuse an IAM role across multiple clusters without additional configuration updates.

Amazon EMR on EKS support for EKS Pod Identity is available in all Regions where Amazon EMR on EKS is currently available, except the China Regions. To get started visit the documentation.

 

​Today, Amazon EMR on EKS announces support for Amazon EKS Pod Identity, simplifying the setup of IAM permissions required by EMR on EKS jobs to access other AWS resources. With this launch, you can configure IAM permissions through a single API call, significantly reducing complexity and potential for errors. The new feature also allows you to leverage IAM roles across multiple clusters without the need to update IAM trust policies for use in new clusters, improving reusability and operational efficiency. To run workloads on Amazon EMR on EKS, customers need to create a job execution IAM role that pods in EKS cluster will use to interact with other AWS resources such as Amazon S3 buckets. Previously, customers had to perform multiple configuration steps such as creating an OIDC identity provider and updating IAM’s role trust policy. Role trust policy size also limited the number of EKS clusters that customers could reuse a job execution role across. Now, customers can configure IAM permissions through a single API call and reuse an IAM role across multiple clusters without additional configuration updates. Amazon EMR on EKS support for EKS Pod Identity is available in all Regions where Amazon EMR on EKS is currently available, except the China Regions. To get started visit the documentation.