Relevant News - AWS Lambda

Link: https://aws.amazon.com/about-aws/whats-new/2026/03/aws-simplifies-iam-role-creation-and-setup/

AWS Identity and Access Management (IAM) now makes it easier to create and configure IAM roles directly within service workflows, allowing you to customize role permissions without switching between browser tabs. Now, when you are performing console tasks that involve role configuration, a new panel will appear to set the permissions required.

IAM roles enable secure AWS cross-service connections using temporary credentials, eliminating the need for hardcoded access keys. This launch integrates role creation capabilities with custom permissions directly into service workflows, allowing you to configure roles and permissions without navigating to the IAM console. You can use default policies or the simplified statement builder to customize your permissions, streamlining your resource setup while maintaining the full functionality of IAM role management.

This feature is available when working with Amazon EC2, AWS Lambda, Amazon EKS, Amazon ECS, AWS Glue, AWS CloudFormation, AWS Database Migration Service, AWS Systems Manager, AWS Secrets Manager, Amazon Relational Database Service, and AWS IoT Core in the US East (N. Virginia) Region. The feature will gradually become available across additional AWS services and regions.

To learn more, refer to individual service User Guide or IAM documentation.

Published: 2026-03-04 20:50:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/arc-region-switch-post-recovery-rdsblock/

Amazon Application Recovery Controller (ARC) Region switch helps customers orchestrate the failover of their multi-Region applications to achieve a bounded recovery time in the event of a Regional impairment. It automates multi-Region disaster recovery, reducing engineering effort and eliminating operational overhead when recovering applications across multiple AWS accounts and Regions. Region switch now includes three new capabilities: post-recovery workflows, native RDS execution blocks, and AWS provider for Terraform support.

Post-recovery workflows. Disaster recovery doesn't end when customers failover to a standby Region. After orchestrating a failover or failback, customers must prepare the other Region for the next recovery event. Today, this requires manual coordination of scaling, recreating read replicas, and validating configurations. Post-recovery workflows help customers automate these preparation steps. With this launch, post-recovery workflows support the custom action Lambda execution block, Amazon RDS create read replica execution block, ARC Region switch plan execution block, and the manual approval execution block. Customers can create read replicas, run custom logic via Lambda functions, add manual approval gates, and embed child plans for complex orchestration as part of post-recovery. Post-recovery workflows are available for active/passive deployments and can be triggered manually.

RDS execution blocks. Coordinating Amazon RDS database recovery during Regional failover requires manual steps to promote read replicas and recreate replication, introducing delays and errors. Region switch now natively supports two Amazon RDS execution blocks that automate RDS recovery orchestration. The RDS promote read replica execution block orchestrates promotion of a read replica to a standalone instance during failover. The RDS create read replica execution block orchestrates replica creation as part of post-recovery workflows.

AWS provider for Terraform support. Region switch is now supported by the AWS provider for Terraform, enabling customers to manage disaster recovery plans as Infrastructure-as-Code and integrate them into CI/CD pipelines alongside application deployments.

To learn more, about AWS provider support for Terraform, visit Terraform provider documentation. To learn about post-recovery workflows in action, read the post-recovery workflow tutorial. To get started with Region switch, read our launch blog or documentation.

Published: 2026-02-27 22:00:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-sns-push-expansion-spain/

Amazon Simple Notification Service (Amazon SNS) now supports sending push notifications in the AWS Europe (Spain) Region. 

Amazon SNS is a fully managed pub/sub service that provides message delivery to multiple endpoints, including AWS Lambda, Amazon SQS, Amazon Data Firehose, HTTP, SMS (via AWS End User Messaging), push notifications, and email. With this launch, customers in the Europe (Spain) Region can use Amazon SNS to send push notifications to the following supported push notification services: Amazon Device Messaging (ADM), Apple Push Notification Service (APNs), Baidu Cloud Push (Baidu), Firebase Cloud Messaging (FCM), Microsoft Push Notification Service for Windows Phone (MPNS), and Windows Push Notification Services (WNS). 

With this expansion, Amazon SNS now supports sending push notifications from 25 regions. For the full list of regions from which you can send push notifications, see Supported Regions and Countries in the Amazon SNS Developer Guide.

For more information, see the Amazon SNS push notifications documentation.

Published: 2026-02-26 15:32:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/lambda-durable-execution-java-preview/

Today, AWS announces the developer preview of the AWS Lambda Durable Execution SDK for Java. With this SDK, developers can build resilient multi-step applications like order processing pipelines, AI-assisted workflows, and human-in-the-loop approvals using Lambda durable functions, without implementing custom progress tracking or integrating external orchestration services.

Lambda durable functions extend Lambda's event-driven programming model with operations that checkpoint progress automatically and pause execution for up to a year when waiting on external events. The new Durable Execution SDK for Java provides an idiomatic experience for building with durable functions and is compatible with Java 17+. This preview includes steps for progress tracking, waits for efficient suspension, and durable futures for callback-based workflows.

To get started, see the Lambda durable functions developer guide and the AWS Lambda Durable Execution SDK for Java on GitHub. To learn more about Lambda durable functions, visit the product page.

On-demand functions are not billed for duration while paused. For pricing details, see AWS Lambda Pricing. For information about AWS Regions where Lambda durable functions are available, see the AWS Regional Services List.

Published: 2026-02-26 07:00:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-sns-sms-region-expansion

Published: 2026-02-19 16:00:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-bedrock-reinforcement-fine-tuning-openai

Amazon Bedrock now extends reinforcement fine-tuning (RFT) support to popular open-weight models, including OpenAI GPT-OSS and Qwen models, and introduces OpenAI-compatible fine-tuning APIs. These capabilities make it easier for developers to improve open-weight model accuracy without requiring deep machine learning expertise or large volumes of labeled data. Reinforcement fine-tuning in Amazon Bedrock automates the end-to-end customization workflow, allowing models to learn from feedback on multiple possible responses using a small set of prompts, rather than traditional large training datasets. Reinforcement fine-tuning enables customers to use smaller, faster, and more cost-effective model variants while maintaining high quality.

Organizations often struggle to adapt foundation models to their unique business requirements, forcing tradeoffs between generic models with limited performance and complex, expensive customization pipelines that require specialized infrastructure and expertise. Amazon Bedrock removes this complexity by providing a fully managed, secure reinforcement fine-tuning experience. Customers define reward functions using verifiable rule-based graders or AI-based judges, including built-in templates for both objective tasks such as code generation and math reasoning, and subjective tasks such as instruction following or conversational quality. During training, customers can use AWS Lambda functions for custom grading logic, and access intermediate model checkpoints to evaluate, debug, and select the best-performing model, improving iteration speed and training efficiency. All proprietary data remains within AWS’s secure, governed environment throughout the customization process.

Models supported at this launch are: qwen.qwen3-32b and openai.gpt-oss-20b. After fine-tuning completes, customers can immediately use the resulting fine tuned model for on-demand inference through Amazon Bedrock’s OpenAI-compatible APIs - Responses API and Chat Completions API, without any additional deployment steps. To learn more, see the Amazon Bedrock documentation.

Published: 2026-02-17 21:17:00+00:00

Link: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-aws-lambda-for-net-10-aws-client-vpn-quickstart-best-of-aws-reinvent-and-more-january-12-2026/

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Published: 2026-01-12 17:39:47+00:00