11/17/2025, 12:00:00 AM ~ 11/18/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon Route 53 DNS Firewall adds protection against Dictionary-based DGA attacks

Starting today, you can enable Route 53 Resolver DNS Firewall Advanced to monitor and block queries associated with Dictionary-based Domain Generation Algorithm (DGA) attacks, that generate domain names by pseudo-randomly concatenating words from a predefined dictionary, creating human-readable strings to evade detection.\n Route 53 DNS Firewall Advanced is an offering on Route 53 DNS Firewall that enables you to enforce protections to monitor and block your DNS traffic in real-time based on anomalies identified in the domain names being queried from your VPCs. These include protections for DNS tunneling and DGA attacks. With this launch, you can also enforce protections for Dictionary-based DGA attacks, which is a variant of the DGA attack, where domain names are generated to mimic and blend with legitimate domain names, to resist detection. To get started, you can configure one or multiple DNS Firewall Advanced rule(s), specifying Dictionary DGA as the threat to be inspected. You can add the rule(s) to a DNS Firewall rule group, and enforce it on your VPCs by associating the rule group to each desired VPC directly or by using AWS Firewall Manager, AWS Resource Access Manager (RAM), AWS CloudFormation, or Route 53 Profiles. Route 53 Resolver DNS Firewall Advanced support for Dictionary DGA is available in all AWS Regions, including the AWS GovCloud (US) Regions. To learn more about the new capabilities and the pricing, visit the Route 53 Resolver DNS Firewall webpage and the Route 53 pricing page. To get started, visit the Route 53 documentation.

Amazon Redshift now supports writing to Apache Iceberg tables

Amazon Redshift today announces the general availability of write capability to Apache Iceberg tables, enabling users to run analytics read and write queries for append-only workloads on Apache Iceberg tables within Amazon Redshift. Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service used by tens of thousands of customers. Whether your data is stored in operational data stores, data lakes, streaming engines or within your data warehouse, Amazon Redshift helps you quickly ingest, securely share data, and achieve the best performance at the best price. The Apache Iceberg open table format has been used by many customers to simplify data processing on rapidly expanding and evolving tables stored in data lakes.\n Customers have been using Amazon Redshift to run queries on data lake tables in various file and table formats, achieving a wide range of scalability across data warehouse and data lake workloads. Data lake use cases continue to evolve and become increasingly sophisticated, and require capabilities like transactional consistency for record-level updates and deletes while having seamless schema and partition evolution support. With this milestone Amazon Redshift now supports SQL DDL (data definition language) operations to CREATE an Apache Iceberg table, SHOW the table definition SQL, DROP the table and perform DML (data manipulation language) operations such as INSERT. You can continue to use Amazon Redshift to read from your Apache Iceberg tables in AWS Glue Data Catalog and perform write operations on those Apache Iceberg tables while other users or applications can safely run DML operations on your tables. Apache Iceberg support in Amazon Redshift is available in all AWS regions where Amazon Redshift is available. To get started, visit the documentation page for Amazon Redshift Management Guide.

Amazon WorkSpaces Applications adds new instance types and configurable storage options

Amazon WorkSpaces Applications now offers enhanced flexibility features that provide customers with more choices for compute and configurable storage volume. Customers can also import their custom EC2 AMIs to create Amazon WorkSpaces images. These new capabilities help customers better match resources to their specific application requirements while optimizing costs.\n The service now includes 100+ additional compute instance types and sizes across all supported instance families, including general purpose, compute optimized, memory optimized, and accelerated options. Customers can also customize storage volumes ranging from 200GB to 500GB, and utilize their own Microsoft Windows Server 2022 AMIs along with their preferred image customization tools. With these enhancements, customers can now match their computing resources to exactly what their applications need while controlling costs effectively. Organizations can choose the right instance type for each use case - whether it’s basic office applications running on cost-efficient general-purpose instances, or demanding CAD software requiring powerful compute-optimized instances. The ability to select storage size options allows customers to use additional storage based on their application needs. All of this customization is available while maintaining the simplicity of a fully managed service, eliminating the complexity of infrastructure management. These new capabilities are now generally available in all AWS Regions where Amazon WorkSpaces Applications is supported. The enhanced features follow WorkSpaces Applications’ standard pay-as-you-go pricing model. For detailed pricing information, visit the Amazon WorkSpaces Applications Pricing page. To learn more about these new features, visit the Amazon WorkSpaces Applications documentation.

Amazon WorkSpaces Applications expands the regional availability to Italy, Spain, Malaysia, and Israel

Amazon Web Services (AWS) has expanded the regional availability for Amazon WorkSpaces Applications. Starting today, AWS customers can deploy their applications and desktops in the AWS Europe (Milan), Europe (Spain), Asia Pacific (Malaysia), and Israel (Tel Aviv) Regions and stream them using WorkSpaces Applications. Deploying your applications in a region closer to your end users helps provide a more responsive experience. \n Amazon WorkSpaces Applications is a fully managed, secure application streaming service that provides users with instant access to their desktop applications from anywhere. It allows users to stream applications and desktops from AWS to their devices, without requiring them to download, install, or manage any software locally. WorkSpaces Applications manages the AWS resources required to host and run your applications, scales automatically, and provides access to your users on demand. To get started with Amazon WorkSpaces Applications, sign into the WorkSpaces Applications management console and select one of the AWS Region of your choice. For the full list of Regions where WorkSpaces Applications is available, see the AWS Region Table. AppStream 2.0 offers pay-as-you-go pricing. For more information, see Amazon WorkSpaces Applications Pricing.

AWS Backup extends delegated administrator support to 17 additional AWS Regions

You can now designate delegated administrators for AWS Backup in 17 additional AWS Regions, enabling assigned users in member accounts to perform most administrative tasks.\n Delegated administrators are now supported in Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, New Zealand, Taipei, Thailand), Canada West (Calgary), Europe (Milan, Spain, Zurich), Israel (Tel Aviv), Mexico (Central), and Middle East (Bahrain, UAE). Delegated administration enables organizations to designate a central AWS account to manage backup operations across multiple member accounts, streamlining governance and reducing administrative overhead. Additionally, you can now use AWS Backup Audit Manager cross-Region and cross-account delegated administrator functionality in these Regions, empowering delegated administrators to create audit reports for jobs and compliance for backup plans that span these Regions.

For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.

AWS Backup now supports backing up directly to a logically air-gapped vault

AWS Backup now supports logically air-gapped vaults as a primary backup target. You can assign a logically air-gapped vault as the primary target in backup plans, organization-wide policies, or on-demand backups. Previously, logically air-gapped vaults could only store copies of existing backups.\n This capability reduces storage costs for customers who want the security and recoverability benefits of logically air-gapped vaults. Organizations wanting those benefits can now back up directly to a logically air-gapped vault without storing multiple backups.

Resource types that support full AWS Backup management back up directly to the specified air-gapped vault. For resource types without full management support, AWS Backup creates a temporary snapshot in a standard vault, copies it to the air-gapped vault, then removes the snapshot.

This feature is available in all AWS Regions that support logically air-gapped vaults. To get started, select a logically air-gapped vault as your primary backup target in the AWS Backup console, API, or CLI. For more information, visit the AWS Backup product page and documentation.

Announcing EC2 Image Builder support for Lambda and Step functions

EC2 Image Builder now supports invoking Lambda functions and executing Step Functions state machine through image workflows. These capabilities enable you to incorporate complex, multi-step workflows and custom validation logic into your image creation process, providing greater flexibility and control over how your images are built and validated.\n Prior to this launch, customers had to write custom code and implement multi-step workarounds to integrate Lambda or Step Functions within image workflows. This was a cumbersome process that was time-consuming to set up, difficult to maintain, and prone to errors. With these new capabilities, you can now seamlessly invoke Lambda functions to execute custom logic or orchestrate Step Functions state machines for complex, multi-step workflows. This native integration allows you to implement use cases such as custom compliance validation, sending custom notifications, multi-stage security testing —all within your Image Builder workflow. These capabilities are available to all customers at no additional costs, in all AWS regions including AWS China (Beijing) Region, operated by Sinnet, AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions. You can get started from the EC2 Image Builder Console, CLI, API, CloudFormation, or CDK, and learn more in the EC2 Image Builder documentation.

Amazon EC2 reduces costs for Microsoft SQL Server High-Availability deployments

Today, AWS announced that you can now designate Amazon EC2 instances running license-included SQL Server as part of a High-Availability (HA) cluster to reduce licensing costs with just a few clicks.\n This enhancement is particularly valuable for mission-critical SQL Server databases with Always On Availability Groups and/or Always On failover cluster instances. For example, you can save up to 40% of the full HA costs with no performance compromises when running SQL Server HA on two m8i.4xlarge instances with license-included Windows and SQL Server. This feature is available in all commercial AWS Regions. To learn more, see Microsoft SQL Server on Amazon EC2 User Guide or read the blog post.

Amazon EC2 M8i and M8i-flex instances are now available in Asia Pacific (Mumbai) Region

Starting today, Amazon EC2 M8i and M8i-flex instances are now available in Asia Pacific (Mumbai) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i and M7i-flex instances.\n M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i and M8i-flex page or visit the AWS News blog.

Amazon U7i instances now available in AWS Europe (Ireland) Region

Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the AWS Europe (Ireland) Region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.\n U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.. To learn more about U7i instances, visit the High Memory instances page.

Amazon Route 53 Profiles now supports Resolver query logging configurations

Today, AWS announced support for Resolver query logging configurations in Amazon Route 53 Profiles, allowing you to manage Resolver query logging configuration and apply it to multiple VPCs and AWS accounts within your organization. With this enhancement, Amazon Route 53 Profiles simplifies the management of Resolver query logging by streamlining the process of associating logging configurations with VPCs, and without requiring you to manually associate them with each VPC.\n Route 53 Profiles allows you to create and share Route 53 configurations (private hosted zones, DNS Firewall rule groups, Resolver rules) across multiple VPCs and AWS accounts. Previously, Resolver query logging required you to manually set it up for each VPC in every AWS account. Now, with Route 53 Profiles you can manage your Resolver query logging configurations for your VPCs and AWS accounts, using a single Profile configuration. Profiles support for Resolver query logging configurations reduces the management overhead for network security teams and simplifies compliance auditing by providing consistent DNS query logs across all accounts and VPCs. Route 53 Profiles support for Resolver query logging is now available in the AWS Regions mentioned here. To learn more about this capability and how it can benefit your organization, visit the Amazon Route 53 documentation. You can get started by accessing the Amazon Route 53 console in your AWS Management Console or through the AWS CLI. To learn more about Route 53 Profiles pricing, see here.

AWS Transform Automates Landing Zone Acceleration Network Configuration

AWS Transform for VMware now allows customers to automatically generate network configurations that can be directly imported into the Landing Zone Accelerator on AWS solution (LZA). Building on AWS Transform’s existing support for infrastructure-as-code generation in AWS CloudFormation, AWS CDK, and Terraform formats, this new capability specifically enables automatic transformation of VMware network environments into LZA-compatible network configuration YAML files. These YAML configurations can be directly deployed through LZA’s deployment pipeline, streamlining the process of setting up your cloud infrastructure.\n AWS Transform for VMware is an agentic AI service that automates the discovery, planning, and migration of VMware workloads, accelerating infrastructure modernization with increased speed and confidence. Landing Zone Accelerator on AWS solution (LZA) automates the setup of a secure, multi-account AWS environment using AWS best practices. Migrating workloads to AWS traditionally requires you to manually recreate network configurations while maintaining operational and compliance consistency. The service now automates the generation of LZA network configurations, reducing manual effort, potential configuration errors, and deployment time while ensuring compliance with enterprise security standards. The LZA configuration generation capability is available in all AWS Regions where the service is offered. To learn more, visit the AWS Transform for VMware product page, read the user guide, or get started in the AWS Transform web experience.

AWS Marketplace now displays estimated tax and invoicing entity information

AWS Marketplace now displays estimated tax information and the invoicing entity to buyers at the time of purchase. This new capability helps customers understand the total cost of their AWS Marketplace purchases before completing transactions, providing enhanced transparency for procurement approvals and budgeting.\n When reviewing offers in AWS Marketplace, customers can now see estimated tax amounts, tax rates, and the invoicing entity based on their current tax and address settings in the AWS Billing console. This information appears at the time of procurement and can be downloaded as a PDF, allowing buyers to request approval for the correct spend amount and issue purchase orders to the appropriate invoicing entity. The estimated tax display includes the tax type (such as Value Added Tax, Goods and Services Tax, or US sales tax), estimated tax amount for upfront charges, and tax rate information. This visibility helps finance teams accurately budget and avoid unexpected costs that can impact procurement workflows and payment processing. This capability is available today in all AWS Regions where AWS Marketplace is supported. For information on managing your tax settings, refer to the AWS Billing Documentation. To learn more about tax handling in AWS Marketplace, visit this page.

Amazon U7i instances now available in US East (Ohio) Region

Starting today, Amazon EC2 High Memory U7i instances with 24TB of memory (u7in-24tb.224xlarge) are now available in the US East (Ohio) region. U7in-24tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7in-24tb instances offer 24TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.\n U7in-24tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 200Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.. To learn more about U7i instances, visit the High Memory instances page.

Amazon Aurora MySQL 3.11 (compatible with MySQL 8.0.43) is now generally available

Starting today, Amazon Aurora MySQL - Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.43 through Aurora MySQL v3.11.\n In addition to several security enhancements and bug fixes, MySQL 8.0.43 contains additional errors for group replication and introduces the mysql client “commands” option, which enables or disables most mysql client commands. For more details, refer to the Aurora MySQL 3.11 and MySQL 8.0.43 release notes. To upgrade to Aurora MySQL 3.11, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” option when creating or modifying a DB cluster. This release is available in all AWS regions where Aurora MySQL is available. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our getting started page.

Amazon RDS for MySQL now supports new minor versions 8.0.44 and 8.4.7

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor versions 8.0.44 and 8.4.7, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known security vulnerabilities in prior versions of MySQL and to benefit from bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.44 and 8.4.7 in the Amazon RDS user guide.\n You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MySQL instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the Amazon RDS User Guide. Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MySQL. Create or update a fully managed Amazon RDS for MySQL database in the Amazon RDS Management Console.

AWS Backup extends cross-account management in four new AWS Regions

AWS Backup now offers cross-account management in the following AWS Regions: Asia Pacific (Taipei, Thailand, New Zealand) and Mexico (Central). This capability helps you manage and monitor backups across your AWS accounts using AWS Organizations.\n With cross-account management in AWS Backup, you can deploy organization-wide backup policies using your AWS Organizations management account or delegated administrator account. This helps maintain compliance across all organizational accounts while reducing management overhead. You can also monitor backup activity across all accounts in your organization from a single management account. For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.

Amazon ECR now supports PrivateLink for FIPS Endpoints

Amazon Elastic Container Registry (ECR) now supports PrivateLink for endpoints that have been validated under the Federal Information Processing Standard (FIPS) 140-3 program.\n With this release, customers with security and compliance requirements can now use FIPS-validated cryptographic modules when connecting to Amazon ECR while keeping their traffic within their Amazon Virtual Private Cloud (VPC). This enhancement enables you to meet regulatory compliance requirements while maintaining the security benefits of private connectivity.

Support for PrivateLink for FIPS ECR endpoints is now available in (US East) N. Virginia, Ohio, (US West) N. California, Oregon and select (AWS GovCloud) US West and (AWS Govcloud) Us East regions. To learn more about AWS PrivateLink, see accessing AWS services through AWS PrivateLink. To learn more about FIPS 140-3 at AWS, visit FIPS 140-3 Compliance. You can learn more about storing, managing and deploying container images and artifacts with Amazon ECR, including how to get started, from our product page and user guide.

Amazon MQ now supports LDAP authentication for RabbitMQ

Amazon MQ now supports LDAP (Lightweight Directory Access Protocol) authentication for RabbitMQ brokers in all available AWS regions. This feature enables RabbitMQ brokers to authenticate and authorize Amazon MQ users using identity providers which support LDAP, providing enhanced security and flexibility in access management. You can now authenticate your Amazon MQ users through the credentials stored in your LDAP server. You can also add, delete, and modify Amazon MQ users and assign permissions to topics and queues. \n You can configure LDAP authentication and authorization on your RabbitMQ broker on Amazon MQ using the AWS Console, AWS CloudFormation, AWS Command Line Interface (CLI), or the AWS Cloud Development Kit (CDK). To get started, create a new RabbitMQ broker with LDAP authentication or update your existing broker’s configuration to enable LDAP support. This feature maintains compatibility with standard RabbitMQ LDAP implementations, ensuring seamless migration for existing LDAP enabled brokers. For detailed configuration options and steps, refer to the Amazon MQ documentation page.

AWS HealthImaging adds native JPEG 2000 Lossless support

AWS HealthImaging now offers JPEG 2000 Lossless as a transfer syntax for storing and retrieving lossless medical images. With this launch, it is simpler than ever to integrate HealthImaging with applications that require JPEG 2000 encoded DICOM data.\n Customers can now choose between JPEG 2000 lossless and High-throughput JPEG 2000 (HTJ2K) for storing lossless DICOM data. HealthImaging data stores enabled for JPEG 2000 Lossless compression more easily integrate with legacy applications and still deliver low latency image retrieval performance from the cloud. With this launch, customers can retrieve image frames in the JPEG 2000 Lossless (1.2.840.10008.1.2.4.90) without incurring the latency of transcoding at retreival time. Support for JPEG 2000 Lossless is available in all AWS Regions where AWS HealthImaging is generally available: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland). To learn more, visit the AWS HealthImaging Developer Guide.

Amazon VPC IPAM automates IP assignments from Infoblox IPAM

Today, AWS launched the ability for Amazon VPC IP Address Manager (IPAM) to automatically acquire non-overlapping IP address allocations from Infoblox Universal IPAM. This feature minimizes manual processes between cloud and on-premises administrators, reducing the turnaround time.\n With this launch, you can automatically acquire non-overlapping IP addresses from your on-premises Infoblox Universal IPAM into your top-level AWS IPAM pool and organize them into regional pools based on your business requirements. When you acquire non-overlapping IPs, you reduce the risk of service disruptions because your IPs don’t conflict with on-premise IP addresses. Previously, in hybrid cloud environments, administrators had to use offline means such as tickets or emails to request and allocate IP addresses, which was often error-prone and time-consuming. This integration automates the manual process, improving operational efficiency. This feature is available in all AWS Regions where Amazon VPC IPAM is supported, excluding AWS China Regions and AWS GovCloud (US) Regions. To learn more about IPAM, view the IPAM documentation. For details on pricing, refer to the IPAM tab on the Amazon VPC Pricing Page.

AWS Parallel Computing Service is now HIPAA eligible

AWS Parallel Computing Service (AWS PCS) is now HIPAA (Health Insurance Portability and Accountability Act) eligible. AWS PCS is a managed service that helps you build and manage High Performance Computing (HPC) clusters using the Slurm workload manager.\n With the AWS PCS HIPAA certification, organizations with a Business Associate Addendum (BAA) can now use AWS PCS for compute-intensive healthcare workloads such as genomic sequencing, medical imaging analysis, and clinical research simulations. AWS maintains a standards-based risk management program to ensure that HIPAA-eligible services specifically support HIPAA administrative, technical, and physical safeguards. AWS PCS is HIPAA compliant in all of the AWS Regions where AWS PCS is available. See the AWS Regional Services List for the most up-to-date availability information. To learn more about HIPAA eligible services, visit the webpage. To get started with AWS PCS, visit the product page to learn more.

Amazon Bedrock Data Automation supports 10 additional languages for speech analytics

Amazon Bedrock Data Automation (BDA) now supports 10 additional languages for speech analytics workloads in addition to English: Portuguese, French, Italian, Spanish, German, Chinese, Cantonese, Taiwanese, Korean, and Japanese. BDA is a feature of Amazon Bedrock that automates generation of insights from unstructured multimodal content such as documents, images, audio, and videos for your GenAI-powered applications. With this launch, customers can process audio in these 10 new languages to get transcriptions in the detected language and Gen AI-powered insights such as summaries in either the detected language or English. Further, if the audio file contains more than one language, then BDA will create a multi-lingual transcript by automatically detecting all supported languages.\n This launch makes it easy to extract insights from multi-lingual conversations such as customer calls, education sessions, public safety calls, clinical discussions, and meetings. For example, a sales supervisor at a global software company can identify areas of improvements for his sales agents by analyzing multi-lingual voice conversations by leveraging the insights provided by custom output. BDA support for these 10 new languages for speech analytics is available in 8 AWS Regions including US West (Oregon), US East (N. Virginia), GovCloud (US-West), Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai) and Asia Pacific (Sydney). To learn more, visit the Bedrock Data Automation page, Amazon Bedrock Pricing page, or view documentation.

Amazon MWAA Introduces Serverless Deployment Option for Apache Airflow Workflows

Amazon Managed Workflows for Apache Airflow (MWAA) now offers a serverless deployment option that eliminates the operational overhead of managing Apache Airflow environments while optimizing costs through true serverless scaling. This new offering addresses key challenges that data engineers and DevOps teams face when orchestrating workflows: operational scalability, cost optimization, and access management.\n Amazon MWAA Serverless provides seamless workflow orchestration with automatic resource provisioning and scaling. You can define workflows using either YAML configurations or Python-based DAGs, with support for over 80 AWS Operators from Apache Airflow v3.0. Each workflow runs in isolation with distinct AWS Identity and Access Management (IAM) permissions, ensuring secure access to AWS services and data. The service handles all infrastructure scaling automatically, with you paying only for the actual compute time used during task execution. Amazon MWAA Serverless is available in 15 AWS regions: Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Ireland), Europe (Stockholm), Europe (Frankfurt), Europe (London), Europe (Paris), South America (Sao Paulo), US East (N. Virginia), US East (Ohio), and US West (Oregon). To learn more about Amazon MWAA Serverless and supported AWS Operators, visit the Amazon MWAA Serverless documentation and the Amazon MWAA Serverless Launch Blog. Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.

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