3/31/2026, 12:00:00 AM ~ 4/1/2026, 12:00:00 AM (UTC)

Recent Announcements

AWS launches Sustainability console for carbon emissions tracking

AWS launches the AWS Sustainability console, a free, standalone service that shows customers their environmental impact associated with their AWS usage. Expanding on the features from the Customer Carbon Footprint Tool (CCFT) in the AWS Billing console, this new service addresses a critical access barrier by enabling sustainability professionals to view carbon emissions data without requiring billing permissions. Organizations can now ensure the right teams have access to the environmental data.\n Like the CCFT, the AWS Sustainability console provides customers their estimated carbon emissions from using AWS, calculated using both market-based (MBM) and location-based (LBM) methods and available by AWS Region, service, and emissions scope (1, 2, 3). The console also delivers additional capabilities including improved customizable visualizations, the ability to set which month your fiscal year starts, customizable CSV reports, and API/SDK access for seamless integration of emissions data into existing reporting workflows.

The AWS Sustainability service is now available in the US East (N. Virginia) region and provides carbon emissions data for all AWS commercial regions. Access the service globally through the AWS Management Console.

AWS IAM Identity Center is now available in AWS European Sovereign Cloud (Germany) Region

You can now deploy AWS IAM Identity Center in the AWS European Sovereign Cloud (Germany) Region. The AWS European Sovereign Cloud is a new independent cloud for Europe entirely located within the European Union (EU), designed to help customers meet their evolving sovereignty requirements.\n IAM Identity Center is the recommended service for managing workforce access to AWS applications. It enables you to connect your existing source of workforce identities once and to offer your users a single sign-on experience across the AWS European Sovereign Cloud. It powers the personalized experiences provided by AWS applications, and the ability to define and audit user-aware access to data in AWS services. It can also help you manage access to multiple AWS accounts from a central place. IAM Identity Center is available at no additional cost.

To learn more about IAM Identity Center, visit the product detail page. To get started, see the IAM Identity Center user guide.

Amazon Managed Service for Apache Flink now supports Apache Flink 2.2

Amazon Managed Service for Apache Flink now supports Apache Flink version 2.2. This is a major upgrade that brings runtime improvements such as Java 17 support, RocksDB 8.10.0 for better I/O performance, and serialization enhancements. Additionally, Dataset API and Scala APIs are now deprecated. You can create a new application on Apache Flink 2.2 or use in-place version upgrades to adopt the Flink 2.2 runtime for a simpler and faster upgrade to compatible applications.\n Amazon Managed Service for Apache Flink makes it easier to transform and analyze streaming data in real time across various use cases, including real-time analytics, anomaly detection, and complex event processing. Amazon Managed Service for Apache Flink simplifies the setup, operation, and scaling of Apache Flink applications, allowing developers and data engineers to focus on building and running their streaming applications without managing the underlying infrastructure. Apache Flink 2.2 is available across AWS regions where Amazon Managed Service for Apache Flink is offered. You can learn more about Apache Flink 2.2 in Amazon Managed Service for Apache Flink in our documentation.

Amazon SageMaker Unified Studio adds Observability for AWS Glue jobs via CloudWatch metrics

Amazon SageMaker Unified Studio adds Observability for jobs, it now displays Amazon CloudWatch metrics for AWS Glue jobs directly alongside job logs in a single, unified interface. This enhancement adds observability to SageMaker Unified Studio, enabling data engineers and ETL developers to streamline their troubleshooting processes.\n With this feature, teams can diagnose performance issues faster by correlating resource utilization patterns—including DPU utilization, memory consumption, CPU load, and data movement size—directly with job log output. Specific use cases include identifying compute bottlenecks, detecting memory pressure or out-of-memory conditions, optimizing resource allocation, and monitoring data pipeline performance at scale. By consolidating metrics and logs into one workspace, organizations can significantly reduce mean time to resolution (MTTR) for ETL pipeline issues and improve overall operational efficiency.

This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is generally available. To access CloudWatch metrics, navigate to any Glue job in SageMaker Unified Studio, open a previous job run, and select the Metrics tab to view comprehensive performance data.

To learn more about Amazon SageMaker Unified Studio and this new capability, visit the SageMaker Unified Studio page and see the documentation.

AWS Organizations now provides organization paths in API responses

AWS Organizations now returns the complete organizational path for accounts and organizational units (OUs) directly in API responses, eliminating the need for multiple API calls to traverse organizational hierarchies. Previously, understanding where accounts and organizational units (OUs) are positioned within your organization structure required multiple API calls. This enhancement is particularly valuable for enterprise customers managing large, complex AWS Organizations with deeply nested OU structures.\n With this launch, APIs including DescribeAccount, ListAccounts, DescribeOrganizationalUnit, and others now include the full path from organization to root to the target entity (e.g., o-{orgId}/r-{rootId}/ou-{ouId}/{accountId}) in a single call. This eliminates time-consuming multiple API calls for org path determination and reduces operational overhead when analyzing service control policy impacts, assessing permissions boundaries, or evaluating account movements across complex organizational hierarchies. Cloud architects, security teams, and operations teams can now troubleshoot faster and build more effective automation, including large language model (LLM) powered tools that require complete organizational context for accurate guidance.

The organization path is now available in all commercial AWS Regions and the AWS GovCloud (US) Regions.

To learn more, visit the To learn more, visit the AWS Organizations API documentation.

AWS Deadline Cloud now supports new fleet scaling configurations for render farms

Today, AWS Deadline Cloud introduces three powerful new fleet scaling options that give you greater flexibility in managing your render farm capacity and performance: worker idle duration, standby worker count, and scale out rate. AWS Deadline Cloud is a fully managed service that helps creative teams efficiently manage and scale their rendering workloads in the cloud.\n These new options give you direct control over balancing rendering speed and efficiency. Configurable worker idle duration allows you to specify how long workers remain available after completing a job, eliminating wait times between job submissions and speeding up artist’s iteration workflow. Standby worker count maintains a pool of pre-warmed, idle workers that are immediately available at job submission so your renders start right away. Scale out rate lets you configure how quickly your fleet scales, up to 500 workers per minute, giving you the control you need to match your infrastructure needs.

These flexible scaling controls are now available in AWS Deadline Cloud. To learn more, visit the AWS Deadline Cloud documentation.

AWS Marketplace sellers can now self-serve refunds and agreement cancellations

AWS Marketplace now offers sellers a streamlined self-service process for refunds and agreement cancellations, reducing the time and effort required to process these requests. This new capability eliminates the need to file support tickets, and gives both sellers and buyers full visibility into the latest status of each request. Buyers can now review and approve cancellation requests directly from the AWS Marketplace console, and see refunds reflected on their charge summary for easier reconciliation. Additionally, Know Your Customer (KYC) verification is now only triggered for invoices that require compliance validation, so sellers can process refunds for KYC-exempt invoices without unnecessary verification delays.\n With this launch, sellers can request refunds or cancellations from the Agreements page in the seller portal or programmatically through the AWS Marketplace Agreement APIs. These requests are pre-populated with agreement and invoice data and processed automatically. Sellers can then track every request from submission through completion. Billing adjustments are processed automatically without requiring buyer approval, allowing sellers to refund charges on paid invoices or reduce outstanding balances on unpaid invoices. For agreement cancellations, sellers submit a request and share an approval link directly with the buyer, who has seven days to respond before the cancellation proceeds automatically. All parties receive email and Amazon EventBridge notifications for every status change, enabling integration with their operational workflows. For Channel Partner Private Offer agreements, the channel partner initiates the refund or cancellation request, and the Independent Software Vendor (ISV) receives notifications for visibility. Seller self-service refunds and agreement cancellations are available in all commercial AWS Regions where AWS Marketplace is supported. To learn more, see Refunds and cancellations in the AWS Marketplace Seller Guide. For information about responding to seller-initiated cancellation requests and tracking refunds, see Refunds and cancellations in the AWS Marketplace Buyer Guide.

Aurora DSQL launches new connectors that simplify building .NET and Rust applications

Today we are announcing the release of Aurora DSQL connectors for .NET (Npgsql) and Rust (SQLx) that make it easy to build .NET and Rust applications on Aurora DSQL. The connectors streamline authentication and eliminate security risks associated with traditional user-generated passwords by automatically generating tokens for each connection, ensuring valid tokens are always used while maintaining full compatibility with existing Npgsql and SQLx features.\n The connectors handle IAM token generation, SSL configuration, and connection pooling, enabling customers to scale from simple scripts to production workloads without changing their authentication approach. They also provide opt-in optimistic concurrency control (OCC) retry with exponential backoff, custom IAM credential providers, and AWS profile support, making it easier to develop client retry logic and manage AWS credentials. To get started, visit the Connectors for Aurora DSQL documentation page. For code examples, visit our GitHub pages for the .NET connector and Rust connector. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.

Amazon S3 Vectors expands to 17 additional AWS Regions

Amazon S3 Vectors is now available in 17 additional AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (New Zealand), Asia Pacific (Osaka), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Spain), Europe (Zurich), Mexico (Central), South America (Sao Paulo), and US West (N. California).\n Amazon S3 Vectors is the first cloud object storage with native support for storing and querying vectors. It delivers purpose-built, cost-optimized vector storage for AI agents, inference, Retrieval Augmented Generation (RAG), and semantic search at billion-vector scale. S3 Vectors is designed to provide the same elasticity, durability, and availability as Amazon S3. With a dedicated set of APIs, you can store and query up to two billion vectors per vector index and elastically scale to 10,000 vector indexes per vector bucket without provisioning any infrastructure. Infrequent queries return results in under one second, with frequent queries resulting in latencies as low as 100 milliseconds. S3 Vectors is natively integrated with Amazon Bedrock Knowledge Bases so you can reduce the cost of using large vector datasets for RAG.

With this expansion, S3 Vectors is now available in 31 AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page and documentation.

AWS announces End User Messaging Notify

Businesses want to send one-time passcodes (OTPs) because they are often the easiest and fastest way for customers to verify who they are. However, businesses are often surprised when it takes weeks or months to get phone numbers, complete carrier registrations, and set up sender IDs. Today, AWS announces AWS End User Messaging Notify to change all of this. Within minutes, a developer can use phone numbers and sender IDs owned by AWS to power their OTP use case and start sending right away.\n With Notify, you set up a configuration with your brand name, turn on SMS, voice, or both, and begin sending OTP messages to over 200 countries using ready-to-use templates. You can customize your brand name, code format, and how long a code stays valid. Every API call includes built-in SMS fraud protection through AWS End User Messaging SMS Protect at no extra cost, catching and blocking suspicious traffic before messages incur costs. Spend limits give you another layer of protection by pausing delivery if your account hits its set threshold.

AWS End User Messaging Notify is available in all AWS Regions where AWS End User Messaging is available.

To get started, visit the AWS End User Notify user guide.

AWS Service Availability Updates

We’re announcing availability changes to the following AWS services and features.\n Services moving to Maintenance

Services moving to maintenance will no longer be accessible to new customers starting April 30, 2026. Customers already using these services and features can continue to do so. AWS will continue to operate and support these services and features. We recommend that customers learn about the changes in the product pages and documentation.

Amazon Application Recovery Controller (ARC) - Readiness Check Feature

Amazon Comprehend - Topic Modeling, Event Detection, and Prompt Safety Classification Features

Amazon Rekognition - Streaming Events and Batch Image Content Moderation Features

Amazon Simple Notification Service (SNS) - Message Data Protection (MDP) Feature

AWS App Runner

AWS Audit Manager

AWS CloudTrail Lake

AWS Glue - Ray Jobs Feature

AWS IoT FleetWise

Services entering Sunset

The following services are entering sunset, and we are announcing the date upon which we will end operations and support of the service. Customers using these services should click on the links below to understand the sunset timeline and begin planning migration to alternatives as recommended in the updated service web pages and documentation.

Amazon RDS Custom for Oracle

Amazon WorkMail

Amazon WorkSpaces Thin Client

AWS Service Management Connector

Services reaching End of Support

The following feature has reached end of support and is no longer available as of March 31, 2026.

Amazon Chime SDK – Proxy Sessions

For customers affected by these changes, we’ve prepared comprehensive migration guides, and our support teams are ready to assist with your transition. Visit AWS Product Lifecycle Page to learn more, and subscribe to the RSS feed for future updates.

Amazon ECS Managed Instances now supports Amazon EC2 instance store

Amazon ECS Managed Instances now supports Amazon EC2 instance store volumes as a data volume option for container workloads. You can now leverage instance store volumes on your ECS container instances instead of provisioning an Amazon EBS data volume, reducing storage costs and accelerating I/O performance for latency-sensitive workloads.\n Amazon ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead, dynamically scale EC2 instances to match your workload requirements, and continuously optimize task placement to reduce infrastructure costs. With today’s launch, you can enable local storage by configuring a custom ECS Managed Instances capacity provider and selecting the desired Amazon EC2 instance types that include instance store volumes. When an instance lacks instance store volumes or when local storage is disabled, Amazon ECS automatically provisions an Amazon EBS data volume. Support for instance store is available in all commercial AWS Regions where Amazon ECS Managed Instances is available. To learn more about local storage support, visit the documentation. To learn more about Amazon ECS Managed Instances, visit the feature page, documentation, and AWS News launch blog.

Amazon Bedrock AgentCore Evaluations is now generally available

Amazon Bedrock AgentCore Evaluations is now generally available, providing automated quality assessment for AI agents. Evaluations enables developers to monitor agent quality through continuous evaluation of production traffic, validate changes through testing workflows, and measure agent performance against defined expectations. AgentCore Evaluations offers two evaluation types. Online evaluation continuously monitors agent performance in production by sampling and scoring live traces. On-demand evaluation enables teams to test agents programmatically, supporting regression testing in CI/CD pipelines and interactive development workflows.\n Teams can evaluate agents using 13 built-in evaluators for response quality, safety, task completion, and tool usage. Developers can also use Ground Truth to measure agent performance against expectations, including reference answers for response validation, behavioral assertions for session-level goals, and expected tool execution sequences. For domain-specific requirements, teams can configure custom evaluators using their choice of prompts and model for LLM-based evaluation, or implement custom logic in Python or JavaScript through Lambda-hosted functions for code-based evaluation. Evaluations integrates with AgentCore Observability for unified monitoring and real-time alerts. AgentCore Evaluations is available in nine AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland). Learn more about Amazon Bedrock AgentCore Evaluations through the documentation, and get started with the AgentCore Starter Toolkit

AWS End User Messaging now supports RCS for Business

Today, AWS End User Messaging announces support for Rich Communication Services (RCS) for Business. Traditional SMS arrives from a generic phone number that customers may not recognize, making it harder for businesses to build trust. RCS solves this by delivering messages through the same messaging app your customers already use, with a verified business identity that displays your name and logo. AWS End User Messaging provides a scalable, cost-effective way to integrate RCS into your applications. Beyond common use cases like one-time passcodes, appointment reminders, and delivery notifications, RCS enables rich conversational experiences that can transform how customers interact with your brand.\n With RCS for Business, you can create and manage RCS agents (the resources used for RCS messaging) directly in the AWS End User Messaging console or through APIs. RCS includes automated SMS fallback, ensuring messages are delivered as SMS when a recipient’s device doesn’t support RCS with no additional logic required in your application.

RCS integrates with AWS services the same way SMS does today. Events route to Amazon EventBridge, Amazon CloudWatch, or Amazon Data Firehose, and inbound messages are delivered via Amazon SNS to destinations like AWS Lambda or AI agents powered by Amazon Bedrock. This enables you to build bidirectional, AI-powered conversational experiences directly in your applications, transforming text messaging from a notification channel into an interactive experience.

RCS for Business is available in all AWS Regions where AWS End User Messaging is available.

To learn more, visit the AWS End User Messaging RCS User Guide. To get started, see the RCS quickstart guide to send and receive your first RCS test message in 5 minutes.

AWS DevOps Agent is now generally available

Now generally available, AWS DevOps Agent is your always-available operations teammate that resolves and proactively prevents incidents, optimizes application reliability and performance, and handles on-demand SRE tasks across AWS, multicloud, and on-prem environments. Building on the preview launch, DevOps Agent now adds new use cases, broader integrations, enhanced intelligence, and enterprise-ready features, including the ability to investigate applications in Azure and on-prem environments, add custom agent skills to extend capabilities, and create custom charts and reports for deeper operational insights.\n DevOps Agent investigates incidents and identifies operational improvements as an experienced teammate would: by learning your applications and their relationships, working with your observability tools, runbooks, code repositories, and CI/CD pipelines, and correlating telemetry, code, and deployment data. It autonomously triages incidents and guides teams to rapid resolution, reducing mean time to resolution (MTTR) from hours to minutes, while analyzing patterns across historical incidents to deliver actionable recommendations that prevent future outages. For the full list of AWS Regions where AWS DevOps Agent is available, visit the Regions list. Pricing details are available on the AWS DevOps Agent pricing page. AWS Support customers receive monthly DevOps Agent credits based on the prior month’s gross AWS Support spend: 100% for Unified Operations, 75% for Enterprise Support, or 30% for Business Support+. For many customers, this significantly reduces or eliminates DevOps Agent costs. For details, visit the support compare page. If you are a preview customer, review the migration documentation to ensure seamless access to new AWS DevOps Agent capabilities. To learn more, read the launch blog and see getting started.

Amazon Connect now expands testing and simulation capabilities to chats

Amazon Connect now allows you to test and simulate chat experiences in just a few clicks, making it easy to validate self-service chat interactions, customer service workflows, and their outcomes. For each test, you can configure the test parameters including the channel as chat, customer attributes, the reason for the chat (such as “I need to check my order status”), the expected responses (such as “Your request has been processed”), and business conditions like after-hours scenarios or full queues. After executing tests, results show success or failure based on your defined criteria, along with the path taken by the simulated interaction and detailed logs to quickly diagnose potential issues.\n With this launch, you can run multiple tests simultaneously to validate your chat workflows at scale, reducing testing time. Companies can view test results and identify common failure patterns across all their tests in Connect’s analytics dashboards. These capabilities enable you to confidently deploy new experiences and quickly adapt to your ever-changing business needs. To learn more about these features, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, AWS’s AI-native customer experience solution, please visit the Amazon Connect website.

AWS Security Agent on-demand penetration testing is now generally available

Today, AWS announced the general availability of AWS Security Agent for on-demand penetration testing in six AWS Regions. AWS Security Agent delivers autonomous penetration testing that operates 24/7 at a fraction of the cost than manual penetration tests. This milestone transforms penetration testing from a periodic bottleneck into an on-demand capability that scales with your development velocity across AWS, Azure, GCP, other cloud-providers, and on-premises. With multicloud support, AWS Security Agent allows you to consolidate penetration testing across your entire infrastructure. \n Previewed at re:Invent 2025, AWS Security Agent represents a new class of frontier agents that are autonomous systems that work independently to achieve goals, scale to tackle concurrent tasks, and run persistently without constant human oversight. It deploys specialized AI agents to help discover, validate, and report security vulnerabilities through sophisticated multi-step attack scenarios customized for each application. It provides detailed findings with CVSS risk scores, application-specific severity ratings, reproduction steps, and remediation suggestions. 

AWS Security Agent is now available in US East (N. Virginia), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Sydney), and Asia Pacific (Tokyo) regions. 

New customers can explore AWS Security Agent with a 2-month free trial. For pricing and feature details, visit the AWS Security Agent pricing page. To learn more about AWS Security Agent, visit the product page and read the launch announcement. For technical details and to get started, see the AWS Security Agent documentation.

AWS Private CA now publishes utilization metrics to Amazon CloudWatch

AWS Private Certificate Authority (AWS Private CA) now publishes certificate authority (CA) utilization metrics to Amazon CloudWatch, providing visibility into your CA usage. AWS Private CA enforces service quota limits on the number of certificates a CA can issue and the number of CAs you can create per Region. The new metrics track the number of certificates issued by each CA and the total number of CAs in each Region, enabling you to monitor usage against these quotas and proactively manage CA lifecycle to maintain high availability.\n With these metrics, you can configure CloudWatch alarms to prevent quota-related service disruptions. For example, you can set alarms to trigger automation that replaces a CA approaching its certificate issuance quota and transitions certificate issuance to a new CA. This is particularly important when using AWS services that rely on AWS Private CA certificates, such as Amazon EKS, Amazon ECS Service Connect, and Amazon WorkSpaces.

The utilization metrics are available in all AWS Regions where AWS Private CA is available. To learn more about AWS Private CA metrics, see the AWS Private CA User Guide.

Amazon CloudWatch Logs introduces lookup query command

Amazon CloudWatch Logs Insights now supports a new lookup command that enables customers to enrich log query results with data from reference tables. Developers, DevOps engineers, and SREs working with complex distributed systems often encounter logs containing opaque identifiers such as GUIDs, IP addresses, or internal resource IDs that are difficult to interpret without additional context.\n With the lookup command, you can join log data against a lookup table at query time, automatically enriching your results with meaningful values. For example, you can translate a customer ID into a customer name or map an internal IP address to the team that owns it. The new command makes log analysis faster and more intuitive without requiring pre-processing pipelines. 

The lookup command is available today in all commercial AWS Regions. 

To get started, upload a CSV file by navigating to CloudWatch → Settings → Logs.  Next, use the lookup command in your Logs Insights queries by specifying a log field, a lookup table name, and one or more columns.  CSV data does not count toward CloudWatch Logs Insights per GB of data scanned query charges.  To learn more, see the CloudWatch Logs Insights documentation.

AWS Backup expands support for Amazon Redshift Serverless to seven Regions

AWS Backup support for Amazon Redshift Serverless is now available in seven additional AWS Regions: Asia Pacific (Osaka, Hyderabad, Taipei, Kuala Lumpur, Auckland), Europe (Milan), and Africa (Cape Town).\n This expansion brings policy-based data protection and recovery to your Amazon Redshift Serverless data warehouses in these newly supported Regions.

To start protecting your Redshift Serverless resources with AWS Backup, add them to your existing backup plans, or create a new backup plan and attach your Redshift Serverless resouces to it. To learn more about AWS Backup for Amazon Redshift Serverless, visit the product page, pricing page, and documentation. To get started, visit the AWS Backup console, AWS Command Line Interface (CLI), or AWS SDKs.

AWS Transform custom announces general availability of automated codebase analysis

AWS Transform custom announces the general availability of the comprehensive codebase analysis transformation. This up-front analysis reduces documentation maintenance burden and preserves critical institutional knowledge. This enables you to better understand the current state of your codebase before starting a modernization effort, reducing the time and guesswork involved in planning large-scale upgrades. It performs deep static analysis and generates structured documentation covering architecture, technical debt, code metrics, reference documentation, migration planning, and diagrams. Behavior analysis is available in early access.\n The transformation analyzes codebases in any language, including Python, Java (Maven and Gradle), Node.js, .NET, and applications exceeding one million lines of code. It produces a technical debt report that identifies outdated components and end-of-life dependencies, and recommends specific AWS-managed transformations to address them — helping you prioritize modernization efforts based on actual codebase conditions rather than manual assessment.

To get started, install the AWS Transform CLI and run atx custom def exec -n AWS/comprehensive-codebase-analysis -p. To run codebase analysis across multiple repositories at organizational scale, see Building a scalable code modernization solution with AWS Transform custom. For more information, see AWS-Managed Transformations. AWS Transform custom is available in US East (N. Virginia) and Europe (Frankfurt ).

AWS Transform custom introduces new AWS-managed transformations to modernize code at scale

AWS Transform custom now offers seven new AWS-managed transformations to help you modernize code at scale. These transformations address common modernization scenarios across multiple languages and frameworks.\n Generally available transformations includes comprehensive codebase analysis transformation, enabling you to generate hierarchical, cross-referenced documentation covering architecture, business logic, and technical debt, with actionable insights on outdated components and maintenance concerns. The Node.js version upgrade transformation is now generally available and includes comprehensive library upgrade support, enabling you to upgrade Node.js applications from any source version to any target version with full dependency modernization. Those transformations available in early access include Java performance optimization transformation helps you analyze Java Flight Recorder (JFR) profiling data to detect CPU and memory hotspots and anti- patterns, then applies targeted code fixes to reduce resource usage and improve efficiency. The Log4j to SLF4J migration transformation allows you to remediate Log4j logging dependencies by migrating to the SLF4J logging framework. Also available in early access is the Angular to React migration transformation transforms Angular applications to React. The Angular version upgrade transformation enables you to upgrade Angular applications to the latest version. Finally, the Vue version upgrade transformation upgrades your Vue.js applications to the latest version. AWS-managed transformations are validated by AWS and can be customized to meet your organization’s specific requirements. All transformations benefit from continual learning, automatically improving quality from every execution.

To get started, install the AWS Transform CLI and run atx custom def list to see all available transformations. For more information, see AWS-Managed Transformations. AWS Transform custom is available in US East (N. Virginia) and Europe (Frankfurt).

Announcing Amazon RDS for Oracle on AWS Outposts

Amazon Relational Database Service (Amazon RDS) for Oracle is now available on AWS Outposts. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any data center, co-location space, or on-premises facility for a consistent hybrid experience. As a result, customers can run applications using AWS features and services in their on-premises environment for applications that require data residency, regulatory, or other business constraints. With Amazon RDS for Oracle on AWS Outposts, customers can now use a managed Oracle database service on premises, just as they do in the cloud.\n Amazon RDS for Oracle on AWS Outposts offers fully managed database management experience such as automated backups, automated patching, point-in-time recovery, monitoring with Amazon CloudWatch, and data encryption at rest with AWS KMS. Amazon RDS for Oracle on AWS Outposts supports multi-AZ deployments across two different Outposts racks for high availability, providing automatic failover to ensure business continuity. For disaster recovery, customer can either restore the database instance in the parent AWS Region using a snapshot taken from the database instance running on AWS Outposts or set up a replica instance in the different Outpost rack or in the parent AWS Region. Customers can deploy Oracle Database 19c and 21c Enterprise Edition (EE) and Standard Edition 2 (SE2) using the Bring Your Own License (BYOL) model in Amazon RDS for Oracle on AWS Outposts. To get started with RDS for Oracle on Outposts, visit the Amazon RDS on AWS Outposts User Guide. Amazon RDS for Oracle on AWS Outposts is available in all AWS Regions where Amazon RDS on AWS Outposts is available. For pricing information, visit the Amazon RDS on AWS Outposts pricing page.

Amazon RDS for Db2 is now available in Asia Pacific (New Zealand)

Amazon RDS for Db2 is now available in the Asia Pacific (New Zealand) AWS Region. Amazon RDS for Db2 makes it easy to set up, operate, and scale Db2 databases in the cloud. Customers can deploy a Db2 database in minutes with automatically configured parameters for optimal performance. For databases setup with Multi-AZ configuration, Amazon RDS performs synchronous replication to a standby instance in a different Availability Zone to provide high availability.\n To use Amazon RDS for Db2, customers can purchase a Db2 license from the AWS Marketplace for hourly, pay-as-you-go pricing, or use Bring Your Own License (BYOL). Both hourly and BYOL licensing are available in Standard and Advanced Editions. Learn more about hourly licenses for Standard and Advanced Edition on AWS Marketplace. Your RDS for Db2 usage may be eligible for Database Savings Plan, a flexible pricing model that offers savings in exchange for a commitment to a specific amount of usage (measured in $/hour) over a 1-year term. You can learn more about eligible usage on the Database Savings Plans pricing page. To learn more about Amazon RDS for Db2, refer to documentation and pricing pages.

Amazon RDS for SQL Server Developer Edition is now available in the AWS GovCloud (US) Regions

Amazon Relational Database Service (Amazon RDS) for SQL Server now offers Microsoft SQL Server Developer Edition in the AWS GovCloud (US) Regions. With Amazon RDS for SQL Server Developer Edition, customers can reduce costs associated with building and testing applications. SQL Server Developer Edition is a free, full-featured version of Microsoft SQL Server licensed exclusively for development, testing, and demonstration (non-production) workloads. It contains all functionalities of the premium Enterprise edition. Furthermore, customers can use all Amazon RDS for SQL Server features such as automated backups, automated software updates, monitoring, and encryption. Amazon RDS for SQL Server Developer Edition is available for SQL Server 2019 and SQL Server 2022. \n For more information, refer to the Amazon RDS for SQL Server User Guide and Amazon RDS for SQL Server Pricing.

Amazon CloudFront now supports BYOIP for IPv6 through VPC IPAM integration

Amazon CloudFront now supports bringing your own IPv6 addresses (BYOIP) for Anycast Static IPs via VPC IP Address Manager (IPAM). This capability enables network administrators to use their own public IPv4 and IPv6 address pools with CloudFront distributions, simplifying IP address management across AWS’s global infrastructure.\n

CloudFront typically uses rotating IP addresses to serve traffic. CloudFront Anycast Static IPs enables customers to provide a dedicated list of IP addresses to partners and customers, enhancing security and simplifying network management. Previously, customers implementing BYOIP with Anycast Static IPs could only bring their own IPv4 addresses (/24 blocks). With IPAM’s unified interface, customers can now create dedicated IP address pools using BYOIP for IPv4 (/24) and IPv6 (/48), and assign them to CloudFront Anycast Static IP lists in a dual-stack configuration. Customers do not need to change the existing IP address space for their applications when they migrate to CloudFront, thus maintaining existing allow-lists and branding for both IPv4 and IPv6 clients.

 

The feature is available within Amazon VPC IPAM in all commercial AWS Regions except the Middle East (Bahrain), Middle East (UAE), AWS GovCloud (US) Regions, and China (Beijing, operated by Sinnet) and China (Ningxia, operated by NWCD). To learn more about CloudFront BYOIP feature, view the BYOIP CloudFront documentation. For details on pricing, refer to the IPAM tab on the Amazon VPC Pricing Page.

Amazon S3 Express One Zone now supports request metrics in Amazon CloudWatch

Amazon S3 Express One Zone, a high performance S3 storage class for latency-sensitive applications, now supports request metrics in Amazon CloudWatch. You can use request metrics to track performance and monitor the operational health of applications that use S3 Express One Zone.\n In addition to existing storage metrics, you can now use request metrics to monitor request counts, data transfer volumes, error rates, and latency measurements at minute-level granularity. These request metrics are available through the CloudWatch console, S3 console, S3 API, and AWS CLI. 

CloudWatch request metrics for S3 Express One Zone are available in all AWS Regions where the storage class is available. For pricing information, visit the CloudWatch pricing page. To learn more, visit the S3 Express One Zone overview page and documentation.

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