7/31/2025, 12:00:00 AM ~ 8/1/2025, 12:00:00 AM (UTC)

Recent Announcements

Database Insights provides on-demand analysis for RDS for Oracle

Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for Oracle database engine. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next.\n This launch allows you to analyze database performance monitoring data for a time period of your choice. You can learn how the selected time period differs from normal, what went wrong, and get advice on corrective actions. Through simple-to-understand graphs and explanations, you can identify the chief contributors to performance issues. You will also get guidance on the next steps to act on these issues. This can reduce the mean-time-to-diagnosis for database performance issues from hours to minutes. You can get started with this feature by enabling the Advanced mode of Database Insights on your RDS for Oracle databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of this feature across different regions, engines and instance classes. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis. It is available in all AWS regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights User Guide.

Amazon Neptune Global Database is now in five new regions

Amazon Neptune Global Database is now available in Europe (Frankfurt), Asia Pacific (Singapore), Asia Pacific (Osaka), Asia Pacific (Jakarta) and Israel (Tel Aviv).\n Amazon Neptune Database is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Neptune Global Database uses fast, storage-based replication across regions with latencies typically less than one second, using dedicated infrastructure with no impact to your workload’s performance. In the unlikely event of a regional degradation or outage, one of the secondary regions can be promoted to full read/write capabilities. You can have up-to five secondary regions with global database, and each secondary region can have up-to 16 replica instances. You can create a Neptune Global Database with just a few clicks on the Amazon Neptune Management Console or download the latest AWS SDK or CLI. For Neptune Global Database, standard pricing will apply for the Neptune resources you use in all AWS Regions. Additionally, you will be charged for ‘replicated write I/Os’, which will capture writes, inserts, and deletes between the primary and secondary Neptune clusters. For more information on Neptune Global Database, visit our documentation. For pricing please see Amazon Neptune pricing page.

Amazon RDS for Oracle now supports R6in and M6in instances

Amazon RDS for Oracle now supports R6in and M6in instances that deliver up to 170 Gbps of network bandwidth. Enhanced network bandwidth makes M6in and R6in DB instances ideal for write-intensive workloads. \n R6in and M6in instances are available for Amazon RDS for Oracle in Bring Your Own License model for both Oracle Database Enterprise Edition (EE) and Oracle Database Standard Edition 2 (SE2) editions. You can launch the new instance in the Amazon RDS Management Console or using the AWS CLI. Refer Amazon RDS for Oracle Pricing for available instance configurations and pricing details.

Amazon announces Extended Support for ElastiCache version 4 and version 5 for Redis OSS

Amazon ElastiCache now offers Extended Support for ElastiCache versions 4 and 5 for Redis OSS, allowing customers to maintain critical workloads on these versions for up to three years beyond the standard support end date. This new offering addresses the needs of customers who require additional time to plan and execute version upgrades due to application dependencies or large-scale deployment complexities.\n Standard support for ElastiCache versions 4 and 5 for Redis OSS will end on January 31, 2026. After this date, clusters not upgraded to a supported version will be automatically enrolled in Extended Support. During the Extended Support period, Amazon ElastiCache will continue to provide critical security updates for Common Vulnerabilities and Exposures (CVEs) and critical defect fixes for these Redis OSS versions. Customers can upgrade using service update APIs or Modify APIs for their cache clusters and replication groups. We recommend upgrading to the latest ElastiCache for Valkey version, where customers can benefit from 20% lower price, improved performance. To get started and learn more about the benefits, see our blog. Amazon ElastiCache Extended Support is available in all AWS Regions, including the AWS GovCloud (US) Regions and China Regions. The start date for Extended Support charges will not be earlier than February 1, 2026. Learn more about Extended Support, including supported engine versions, in the Amazon ElastiCache user guide. Learn more about pricing details and timelines for Amazon ElastiCache Extended Support at Amazon ElastiCache Pricing.

Amazon Q Developer expands multi-language support

Today, Amazon Q Developer announced expanded multi-language support in AWS Management Console, AWS Console Mobile application and Q Developer in Microsoft Teams and Slack chat applications. Among the many supported languages are French, German, Italian, Japanese, Korean, Mandarin, Spanish, and Portuguese.\n To get started, simply start a conversation with Q Developer using your preferred language. Q Developer will automatically detect the language and provide answers in the appropriate language, enabling global teams to learn, monitor, operate, and troubleshoot AWS resources faster and in a more accessible way. This update is available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer.

Amazon DocumentDB Serverless is Generally Available

Today, AWS announces the general availability of Amazon DocumentDB Serverless, an on-demand, auto-scaling configuration for Amazon DocumentDB (with MongoDB compatibility). Amazon DocumentDB is a serverless, fully managed, MongoDB API–compatible document database service. Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity.\n For applications with variable workloads, Amazon DocumentDB Serverless offers simplified resource management, with no upfront commitments or additional costs, so you only pay for the database capacity used. It provides the same MongoDB compatible-APIs and capabilities as Amazon DocumentDB, including read replicas, Performance Insights, and I/O-Optimized. Amazon DocumentDB Serverless is ideal for a broad set of applications with variable, multi-tenant, or mixed use (read/write) workloads. For example, enterprises that have thousands of applications, or software as a service (SaaS) vendors that have multi-tenant environments with hundreds or thousands of databases, can use Amazon DocumentDB Serverless to manage database capacity across their entire fleet of databases. Additionally, you can build agentic AI applications that benefit from its native vector search and serverless adaptability to handle dynamically invoked agentic AI workflows. Amazon DocumentDB Serverless is available starting with Amazon DocumentDB 5.0 for both new and existing clusters.

For pricing details and region availability, visit Amazon DocumentDB Pricing.

To learn more about Amazon DocumentDB Serverless, see the overview, documentation, and AWS News blog. Get started in just a few steps in the AWS Management Console.

AWS Lambda response streaming now supports 200 MB response payloads

AWS Lambda response streaming now supports a default maximum response payload size of 200 MB, 10x higher than before. Lambda response streaming allows you to progressively stream response payloads back to clients, improving performance for latency sensitive workloads by reducing time to first byte (TTFB) performance.\n Response streaming is ideal for use cases which are sensitive to end-user latency, including real-time AI chat or web or mobile applications where page load performance influences user experience. Previously, the default response payload limit for response streaming functions was 20 MB and if your response payload exceeded this limit, you needed to incur additional overhead by compressing the payload or using services like Amazon S3 as an intermediary step. The increased response payload limit allows you to process response payloads of up to 200 MB directly within Lambda, enabling use cases such as real-time processing of large datasets, image-heavy PDF files, or even music files. Lambda response streaming supports Node.js managed runtimes as well as custom runtimes. The 200 MB response streaming payload limit is default in all AWS Regions where Lambda response streaming is supported. To learn more about Lambda response streaming, please refer to Lambda documentation.

Amazon SNS launches additional message filtering operators

Amazon Simple Notification Service (Amazon SNS) now supports three additional message filtering operators: wildcard matching, anything-but wildcard matching, and anything-but prefix matching.\n Amazon SNS is a fully managed pub/sub service that provides one-to-many message delivery to various endpoints, including AWS Lambda, Amazon SQS, Amazon Data Firehose, SMS via AWS End User Messaging, push notifications, and email. With this launch, topic subscribers can use these additional operators to define more flexible message filtering policies, ensuring they receive only relevant messages. This reduces the need for additional filtering logic in subscriber applications. Amazon SNS message filtering is available in all AWS commercial Regions and AWS GovCloud (US) Regions. To learn more, see Message Filtering in the Amazon SNS Developer Guide.

Amazon SNS standard topics now support Amazon SQS fair queues

Amazon Simple Notification Service (Amazon SNS) now supports message group IDs in standard topics, enabling fair queue functionality for all subscribed Amazon SQS standard queues. This feature allows you to mitigate noisy neighbor impact in all multi-tenant standard queues subscribed to a SNS standard topic by ensuring that high-volume or slow-processing messages from one tenant don’t delay messages from other tenants.\n When you include a message group ID in messages sent to your Amazon SNS standard topic, the topic automatically forwards these IDs to all subscribed Amazon SQS standard queues, activating fair queue behavior across those queues. This capability is particularly valuable for SaaS applications that use Amazon SNS to distribute messages to multiple processing queues, event-driven architectures serving multiple customers, and microservices that need to maintain quality of service across different request types. This feature is now available in all AWS commercial and AWS GovCloud (US) Regions. To learn more about using message group IDs with Amazon SNS, see the Amazon SNS Developer Guide. For more information about Amazon SQS fair queues, read our blog post.

Amazon Chime SDK now provides Internet Protocol Version 6 (IPv6) API endpoints

Amazon Chime SDK now offers customers the option to use Internet Protocol version 6 (IPv6) addresses. Customers can use IPv6 to address new dual-stack API endpoints to invoke Amazon Chime SDK APIs.\n The new dual-stack endpoints support both IPv4 and IPv6 clients, helping you transition from IPv4 to IPv6-based systems and applications at your own pace. This approach can help you work toward IPv6 compliance requirements while reducing the need for additional networking equipment to handle address translation between IPv4 and IPv6. Dual-stack endpoints are available in all AWS Regions where Amazon Chime SDK is available, including AWS GovCloud (US). To learn more about Amazon Chime SDK, refer to the following resources:

Amazon Chime SDK website

Amazon Chime SDK endpoints

Available regions in the Amazon Chime SDK Developer Guide

Amazon EventBridge now supports Internet Protocol Version 6 (IPv6)

Amazon EventBridge now supports Internet Protocol version 6 (IPv6) through new dual-stack endpoints. You can now connect to EventBridge Event Bus, EventBridge Scheduler, EventBridge Pipes, and EventBridge schema registries using IPv6, IPv4, or dual-stack clients. The existing Amazon EventBridge endpoints that support only IPv4 will remain available for backwards compatibility.\n Amazon EventBridge is a serverless service that uses events to connect application components together, making it easier for you to build scalable event-driven applications. Through Event Bus for many-to-many routing, Scheduler for scheduled tasks, Pipes for point-to-point integrations, and schema registries for event schema discovery and management, EventBridge provides reliable and efficient ways to ingest, filter, transform, and deliver events. With dual-stack endpoints now available for these EventBridge services, you can use IPv6 to future-proof your event-driven architectures, maintain compatibility with existing IPv4 systems, and eliminate the need for complex IP address translation infrastructure. IPv6 for EventBridge is available in all AWS Regions, including AWS GovCloud (US). To learn more, please visit the EventBridge dual-stack endpoint documentation or read the AWS whitepaper on IPv6 best practices.

AWS Batch now supports scheduling SageMaker Training jobs

As of today, AWS Batch now supports scheduling for SageMaker Training jobs. With AWS Batch for SageMaker Training jobs, data scientists are able to submit training jobs to configurable queues powered by AWS Batch. This integration enables jobs to be scheduled based on priority and resource availability, eliminating manual retries and coordination. Additionally, system administrators can set up fair-share scheduling policies to optimize resource utilization across teams. The system will automatically retry failed jobs and provide visibility into queue status.\n You can also procure SageMaker Flexible Training Plans (FTP) to guarantee the capacity you need during the time you need it. With a Flexible Training Plan in place, Batch’s queuing capabilities allows you to maximize your utilization for the duration of your plan. Data scientists can submit experiments with confidence directly from the SageMaker Python SDK, knowing that infrastructure complexities are handled automatically. You can start using AWS Batch for SageMaker Training jobs immediately through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. There are no additional charges for AWS Batch itself – you only pay for the AWS resources used to run your applications. AWS Batch for SageMaker Training jobs is now generally available in all commercial AWS Regions where AWS Batch and SageMaker AI are available. To get started, see the AWS Batch for SageMaker Training jobs documentation and our blog post.

AWS DMS Schema Conversion introduces Virtual Mode

AWS Database Migration Service (DMS) Schema Conversion now supports Virtual Mode for Data providers, enabling you to perform schema assessment and conversion without connecting to target database instances. This feature helps you begin conversion planning immediately while reducing infrastructure costs.\n Virtual Mode enables you to evaluate database compatibility, review and convert schema code, generate assessment reports, and plan resource requirements. All of this happens before provisioning actual database infrastructure. When you are ready for migration, you can switch from virtual to real Data providers seamlessly. Virtual Mode works with all AWS DMS Schema Conversion-supported target databases, including Amazon RDS and Aurora PostgreSQL, MySQL, Amazon RDS for Db2, and Amazon Redshift. Virtual Mode is available in all AWS Regions where AWS DMS Schema Conversion is supported, at no additional charge. To learn more visit the Virtual Data provider page.

Amazon Connect Cases now displays detailed email content within the case activity feed

Amazon Connect Cases now displays email content, including message body, images, and attachment details directly within the case activity feed, enabling case workers to understand email conversations more efficiently and resolve cases faster.\n Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.

Amazon Connect Cases is now available in the Africa (Cape Town) Region

Amazon Connect Cases is now available in the Africa (Cape Town) AWS region. Amazon Connect Cases provides built-in case management capabilities that make it easy for your contact center agents to create, collaborate on, and quickly resolve customer issues that require multiple customer conversations and follow-up tasks.\n With this launch, Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.

AWS Clean Rooms now publishes events to Amazon EventBridge

AWS Clean Rooms now publishes events to Amazon EventBridge for status changes in a Clean Rooms collaboration, delivering real-time insights to collaboration creators and analysis runners. Collaboration creators are notified of changes to collaborations and memberships, and analysis runners are notified when their analyses complete. This enables you to build automated workflows that respond immediately to collaboration events without additional monitoring infrastructure. For example, when a partner completes a customer segmentation analysis, your marketing team can be automatically notified to begin campaign activation, reducing time-to-action from hours to minutes and increasing transparency between collaboration members.\n AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.

Amazon Q Developer CLI announces custom agents

Amazon Q Developer CLI announces custom agents which enable you to customize the CLI agent to perform specialized tasks such as code reviews and troubleshooting more effectively. You can define a custom agent by creating a configuration file that specifies which tools an agent is allowed to use, prompts to guide its behavior, and the context needed to perform the task. Once configured, you can start a conversation in the CLI using the custom agent, reducing context switching and streamlining the experience.\n During the set-up process, you can specify which specific MCP and native tools are available to the agent, including tool permissions, such as which paths the file system write tool can modify, providing you with more granular control of the agent’s behavior. You also have the ability to specify which files to statically include as context, and which files to include dynamically through context hooks, enabling more focused and tailored responses for your development tasks. Custom agents can be project specific and easily shared amongst your team members, or global for a developer to perform use-case based tasks across any project. Custom agents are available within Amazon Q Developer CLI. To learn more, visit the Amazon Q Developer documentation or read the blog.

Amazon Location Service Migration SDK now supports Enhanced Places, Routes, and Maps capabilities

Amazon Location Service has updated its Migration SDK, expanding support for advanced places, routing, and mapping features such as nearby search, searching by phone number, waypoint optimization, and step-by-step routes planning instructions. This update makes it easier for customers to transition from the Google Maps Platform to Amazon Location Service when relying on these capabilities.\n These new features allow developers to migrate more sophisticated location-based applications without needing to rewrite any of the application or business logic. Customers can compare their current Google Maps API usage with the Migration SDK’s list of supported APIs to determine if the Migration SDK is right for them. The Migration SDK will receive updates as Amazon Location Service extends its Maps/Places/Routes feature set. To learn more about the enhanced Migration SDK, visit the Migration SDK documentation.

AWS Management Console enables discover, manage applications from anywhere in the Console

Today, Amazon Web Services, Inc. (AWS) announced a new feature in the AWS Management Console that provides customers with an application-centric experience accessible from anywhere in the AWS Management Console. Customers can view their AWS Applications in the Service menu in the AWS Console navigation bar. The “All Applications” view allows customers to see all their Applications and favorite an Application. Customers can then click on an Application to see all its associated resources and add filters (based on properties and tags). Customers managing multiple applications can also favorite an Application and switch across Applications quickly.\n Previously, customers need to navigate to myApplications to see all their Applications and then to AWS Resource Explorer to access resources in an Application. Now, with the new “All Applications” view in the service menu customers can see all their Applications with 1-click. Customers can navigate between resources in an application without having to navigate away from their current context. This new experience is available in all AWS Commercial Regions. Customers can access it by clicking on “All Applications” in the Service Menu on the Navigation bar in AWS Management Console. Learn more about how to access this experience here.

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