Recent Announcements

Amazon SES now offers tiered pricing for Virtual Deliverability Manager

Fri, 14 Feb 2025 19:30:00 GMT

Today, Amazon Simple Email Service (SES) launched a new pricing structure for Virtual Deliverability Manager (VDM), giving customers reduced charges at higher levels of usage. Customers can benefit from lower total VDM charges without the need to change account configuration, sending practices, or billing setup. This can lower customer total cost of ownership for VDM as their usage increases.

Previously, all customers using VDM paid a fixed price per message sent. Customers could turn VDM on or off whenever needed, and they paid only for what they used without any commitment or fixed monthly charges. Now, customers will see their charges per message for VDM decrease as their sending volume exceeds specific thresholds each month. After crossing each threshold in a given billing month, each subsequent message processed by VDM is charged at a lower rate. This reduces the total cost of using VDM for high volume senders.

SES supports tiered pricing for VDM in all AWS regions where SES is available.

For more information, see the documentation for the SES pricing page.

AWS Lambda adds application performance monitoring (APM) for Java and .NET runtimes via Application Signals

Fri, 14 Feb 2025 18:00:00 GMT

AWS Lambda now supports Amazon CloudWatch Application Signals, an application performance monitoring (APM) solution, for Java and .NET managed runtimes, enabling developers and operators to easily monitor the health and performance of their serverless applications built using Lambda.

We previously announced support for Application Signals for Lambda functions for Python and Node.js managed runtimes. With this launch, you can now enable Application Signals for Lambda functions using Java 11, Java 17, Java 21, and .NET 8 Lambda managed runtimes. Once enabled, Application Signals provides pre-built, standardized dashboards for critical application metrics (such as throughput, availability, latency, faults, and errors), correlated traces, and interactions between the Lambda function and its dependencies (such as other AWS services), without requiring any manual instrumentation or code changes from developers. This gives operators a single-pane-of-glass view of the health of the application and enables them to drill down to establish the root cause of performance anomalies.

To get started, visit the Configuration tab in Lambda console and enable Application Signals for your function with just one click in the “Monitoring and operational tools” section. To learn more, visit the Lambda developer guide, Application Signals developer guide, and Application Signals for Lambda blog post.

Application Signals for Lambda is available in all commercial AWS Regions where Lambda and CloudWatch Application Signals are available. To take advantage of the new, cost-effective pricing for Application Signals, opt-in to the Transaction Search capability of Application Signals. To learn more about Application Signals pricing, visit the CloudWatch pricing page.

AWS CloudTrail network activity events for VPC endpoints are now generally available

Fri, 14 Feb 2025 18:00:00 GMT

With the launch of AWS CloudTrail network activity for VPC endpoints, you now have additional visibility into AWS API activity that traverses your VPC endpoints, enabling you to strengthen your data perimeter and implement better detective controls. You can enable network activity events for VPC endpoints for five AWS Services: Amazon S3, Amazon EC2, AWS Key Management Service (AWS KMS), AWS Secrets Manager, and AWS CloudTrail.

With network activity events for VPC endpoints, you can view details of who is accessing resources within your network giving you greater ability to identify and respond to malicious or unauthorized actions in your data perimeter. For example, as the VPC endpoint owner, you can view logs of actions that were denied due to VPC endpoint policies or determine if an actor outside of your data perimeter is trying to access the data in your S3 buckets.

You can enable logging for network activity events logging for your VPC endpoints using the AWS CloudTrail console, AWS CLI, and SDKs. When creating a new trail or event data store or editing an existing one, you can select network activity events for supported services that you wish to monitor; you can configure to log all API calls, or log only the accessDenied calls, and you can use advanced event selectors for additional filtering controls.

Network activity events for VPC endpoints are available in all commercial AWS Regions. Refer to CloudTrail pricing to learn more about network activity events pricing and the documentation to get started.

Amazon Inspector enhances the security engine for container images scanning

Fri, 14 Feb 2025 18:00:00 GMT

Today, Amazon Inspector announced an upgrade to the engine powering its container image scanning for Amazon Elastic Container Registry (ECR). This upgrade will provide you with a more comprehensive view of the vulnerabilities in the third-party dependencies used in your container images. The enhancement to the engine will happen automatically without any action or disruption to your existing workflows. Existing customers can expect to see some findings closed as the new engine re-evaluates all the existing resources to better assess risks, while also surfacing new vulnerabilities as per the new engine’s dependency collection.

Amazon Inspector is a vulnerability management service that continually scans AWS workloads including Amazon EC2 instances, container images, and AWS Lambda functions for software vulnerabilities, code vulnerabilities, and unintended network exposure across your entire AWS organization.

This improved version of container image scanning within ECR is available in all commercial and AWS GovCloud (US) Regions where Amazon Inspector is available.

Amazon EC2 C7g instances are now available in the AWS Europe (Zurich) Region

Fri, 14 Feb 2025 18:00:00 GMT

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g instances are available in the AWS Europe (Zurich) Region. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.

Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS).

To learn more, see Amazon EC2 C7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

Amazon Q Developer now supports upgrade to Java 21

Fri, 14 Feb 2025 18:00:00 GMT

Amazon Q Developer transformation capabilities that allow customers to upgrade Java applications using Maven to Java 21 are now available. Developers interested in leveraging the enhanced performance, security, interoperability, and modern features of Java 21 can use the generative AI capabilities of Amazon Q Developer to accelerate code upgrades to Java 21.

With this added support for Java Development Kit (JDK) 21, customers can upgrade the Java version of their applications using Maven from source versions 8, 11, 17, or 21 to target versions 17 or 21. Customers can also continue to upgrade libraries and frameworks used in Java 17 or Java 21 compatible applications without upgrading JDK versions. The Java transformation capabilities are available both in IDE (Visual Studio Code and JetBrains IntelliJ IDEA) and CLI (Linux and MacOS).

To learn more, please visit Amazon Q Developer transformation capabilities webpage and documentation.

Amazon EC2 Capacity Blocks for ML is now available in several new regions

Thu, 13 Feb 2025 22:15:00 GMT

Today, Amazon Web Services announced that Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML is now available in several new regions as well as new instance types in existing locations. You can use EC2 Capacity Blocks to reserve highly sought-after GPU instances in Amazon EC2 UltraClusters for a future date for the amount of time that you need to run your machine learning (ML) workloads.

EC2 Capacity Blocks enable you to reserve GPU capacity up to eight weeks in advance for durations up to 6 months in cluster sizes of one to 64 instances, giving you the flexibility to run a broad range of ML workloads. They are ideal for short duration pre-training and fine-tuning workloads, rapid prototyping, and for handling surges in inference demand. EC2 Capacity Blocks deliver low-latency, high-throughput connectivity through colocation in Amazon EC2 UltraClusters.

With this expansion, EC2 Capacity Blocks for ML are available on P5, P5e, P5en in US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Europe (Stockholm), Europe (London), South America (Sao Paulo) Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Jakarta), Australia (Sydney), Australia (Melbourne) and P4d in US East (N. Virginia), US East (Ohio), US West (Oregon). Capacity Blocks are also available on Trn2 in US East (Ohio) and Trn1 in US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Europe (Stockholm), Asia Pacific (Mumbai), Australia (Sydney), Australia (Melbourne).

Click here to learn more about EC2 Capacity Blocks.

AWS Deadline Cloud now supports Adobe After Effects in Service-Managed Fleets

Thu, 13 Feb 2025 18:30:00 GMT

AWS Deadline Cloud now includes support for Adobe After Effects in its Service-Managed Fleets. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, created in industry-standard graphics tools such as Adobe After Effects, for films, television and broadcasting, web content, and design.

With this new feature, you can submit After Effects projects to Deadline Cloud without having to manage your own render farm infrastructure. The integration offers built-in support for custom fonts and an adjustable number of image sequence frames rendered per task, allowing you to submit jobs that are tailored to your workflow directly within After Effects. AWS Deadline Cloud automatically handles the provisioning and elastic scaling of compute resources required for rendering your After Effects projects. Service-Managed Fleets can be configured in minutes so you can begin rendering immediately.

Deadline Cloud After Effects support is available in all AWS Regions where Deadline Cloud is offered.

For more information, please visit the Deadline Cloud product page and our AWS Deadline Cloud documentation.

Amazon OpenSearch Serverless expands support for time-series workloads up to 100TB

Thu, 13 Feb 2025 18:00:00 GMT

We are excited to announce that Amazon OpenSearch Serverless now supports workloads up to 100TB of data for time-series collections. OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that makes it simple for you to run search and analytics workloads without having to think about infrastructure management. With the support for larger datasets, OpenSearch Serverless now enables more data-intensive use cases such as log analytics, security analytics, real-time application monitoring, and more.

OpenSearch Serverless’ compute capacity used for indexing and search are measured in OpenSearch Compute Units (OCUs). To accommodate for larger datasets, OpenSearch Serverless now allows customers to independently scale indexing and search operations to use up to 1700 OCUs. You configure the maximum OCU limits on search and indexing independently to manage costs. You can also monitor real-time OCU usage with CloudWatch metrics to gain a better perspective on your workload's resource consumption.

Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.

Amazon RDS for MySQL announces Extended Support minor 5.7.44-RDS.20250103

Thu, 13 Feb 2025 18:00:00 GMT

Amazon Relational Database Service (RDS) for MySQL announces Amazon RDS Extended Support minor version 5.7.44-RDS.20250103. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of MySQL. Learn more about the bug fixes and patches in this version in the Amazon RDS User Guide.

Amazon RDS Extended Support provides you more time, up to three years, to upgrade to a new major version to help you meet your business requirements. During Extended Support, Amazon RDS will provide critical security and bug fixes for your RDS for MySQL databases after the community ends support for a major version. You can run your MySQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date. Learn more about Extended Support in the Amazon RDS User Guide and the Pricing FAQs.

Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. See Amazon RDS for MySQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

Introducing Amazon EC2 C6in instances in Chicago and New York City Local Zones

Thu, 13 Feb 2025 18:00:00 GMT

Amazon Elastic Compute Cloud (Amazon EC2) C6in instances are now available in the Chicago and New York City Local Zones. C6in instances are powered by 3^rd Generation Intel Xeon Scalable processors with an all-core turbo frequency of up to 3.5 GHz. They are x86-based Amazon EC2 compute-optimized instances offering up to 200 Gbps of network bandwidth. The instances are built on AWS Nitro System, which is a dedicated and lightweight hypervisor that delivers the compute and memory resources of the host hardware to your instances for better overall performance and security. You can take advantage of the higher network bandwidth to scale the performance for a broad range of workloads running in AWS Local Zones.

Local Zones are an AWS infrastructure deployment that place compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists. You can use Local Zones to run applications that require single-digit millisecond latency for use cases such as real-time gaming, hybrid migrations, media and entertainment content creation, live video streaming, engineering simulations, financial services payment processing, capital market operations, and AR/VR.

To get started, you can enable Chicago Local Zone us-east-1-chi-2a and New York City Local Zone us-east-1-nyc-2a , in the Amazon EC2 Console or the ModifyAvailabilityZoneGroup API, and deploy C6in instances. To learn more, visit AWS Local Zones overview page and see Amazon EC2 Instance types.

Amazon ECS now enables you to update services from short to long ARNs

Thu, 13 Feb 2025 18:00:00 GMT

You can now update your existing Amazon Elastic Container Service (Amazon ECS) services that use a short Amazon Resource Name (ARN) to use a long ARN without needing to re-create the service. This enables you to tag your long-running Amazon ECS services, letting you better allocate cost, improve visibility, and define fine-grained resource-level permissions for these services.

Since 2018, customers have been able to tag Amazon ECS services that use the long ARN format (which includes the cluster name in the ARN) but if they wanted to tag services that were created with the old short ARN format, they had to delete and re-create the service. Now, ECS enables you to tag services that were created with the old short ARN format without needing to re-create the service. To enable this, you need to complete 2 steps: 1/opt-in your account to the long Amazon Resource Names (ARN) format for tasks and services and 2/tag the service you want to migrate to the long ARN format using the TagResource API action. Once you complete these steps, ECS updates the ARN of the service to the long ARN format and tags the service. Updating the service to use the long ARN format allows you to define resource-based access policies in IAM and granularly monitor the cost of your services in the Cost & Usage Report and Cost Explorer.

You can update your services with short ARNs to long ARNs in all AWS regions using the AWS Console, CLI, and API. To learn more, please read our documentation.

Amazon EC2 M7g instances are now available in additional regions

Thu, 13 Feb 2025 18:00:00 GMT

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7g instances are available in the AWS Asia Pacific (Jakarta, Melbourne, Osaka) and AWS GovCloud (US-East) regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.

Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS).

To learn more, see Amazon EC2 M7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

AWS CodePipeline adds CloudWatch Metrics support

Thu, 13 Feb 2025 18:00:00 GMT

AWS CodePipeline now provides Amazon CloudWatch metrics integration for V2 pipelines, enabling you to monitor both pipeline-level and account-level metrics directly in your AWS account. The integration introduces a pipeline duration metric that tracks the total execution time of your pipeline completions, and pipeline failure metric that monitors the frequency of pipeline execution failures. You can now track these metrics through both the CodePipeline console and the CloudWatch Metrics console to actively monitor your pipeline health.

To learn more about this feature, please visit our documentation. For more information about AWS CodePipeline, visit our product page. This feature is available in all regions where AWS CodePipeline is supported, except the AWS GovCloud (US) Regions and the China Regions.

Amazon RDS for PostgreSQL supports minor versions 17.3, 16.7, 15.11, 14.16, 13.19

Thu, 13 Feb 2025 18:00:00 GMT

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 17.3, 16.7, 15.11, 14.16, and 13.19. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes updates for PostgreSQL extensions such as pg_active 2.1.4, pg_cron 1.6.5, pg_partman 5.2.4, and others.

You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. 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 PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

AWS Network Load Balancer now supports removing availability zones

Thu, 13 Feb 2025 18:00:00 GMT

Today, we are launching the ability to remove Availability Zones (AZ) of an existing Network Load Balancer (NLB). Prior to this launch, customers could add AZs to an existing NLB, but could not remove AZs. With this capability, customers can now change their application stack locations and move them between availability zones quickly.

Changing business needs such as mergers & acquisitions, divestitures, data residency compliance requirements, and capacity considerations in a given region are some of the use cases that necessitate removing AZs of existing NLBs. Using this capability, customers can remove one or more availability zones from their NLB by simply updating the list of enabled subnets using ELB API, CLI or Console.

Similar to any delete operation, removing a zone can be a potentially disruptive operation. When you remove a zone, the NLB zonal Elastic Network Interface (ENI) is deleted. All active connections to backend targets in that zone (including clients connecting through other zones) are terminated, the zonal IPs (and EIPs) are released and zonal DNS names deleted, and any backend target in the removed zone becomes “unused”. Refer to product documentation and AWS blog post for prescriptive guidance on how to use this capability in a safe manner.

This capability is available in all AWS commercial and the AWS GovCloud (US) Regions.

Amazon Q generative SQL is now available in additional regions

Thu, 13 Feb 2025 18:00:00 GMT

Amazon Q generative SQL is now available in Amazon Redshift Query Editor for US East (Ohio) and Asia Pacific (Seoul) regions. This feature enhances SQL query authoring in the web-based Query Editor for Amazon Redshift, enabling you to write SQL queries using natural language and receive intelligent SQL code recommendations. Amazon Q generative SQL makes Amazon Redshift database querying more accessible and efficient for users, regardless of their SQL expertise.

Using generative AI, Amazon Q generative SQL analyzes user intent, SQL query patterns, and schema metadata to identify common query patterns within Amazon Redshift. The conversational interface allows users to submit SQL queries in natural language while maintaining their existing data permissions. For example, when asking "Find total revenue by region," the system automatically suggests appropriate SQL code by joining relevant Amazon Redshift tables, reducing development time and potential errors. Users can accept suggested queries directly or iterate with follow-up questions to refine their results.

To learn more about pricing, visit the Amazon Q Developer pricing page. See the documentation to get started.

Amazon FSx for Lustre now supports Lustre version upgrades

Wed, 12 Feb 2025 21:00:00 GMT

Amazon FSx for Lustre, a service that provides high-performance, cost-effective, and scalable file storage for compute workloads, now enables you to upgrade the Lustre version of your FSx for Lustre file systems. This feature allows you to benefit from the enhancements available in newer Lustre versions on your existing file systems.

FSx for Lustre provides fully-managed file systems built on Lustre, the world's most popular open-source high performance file system. FSx for Lustre supports multiple long-term support Lustre versions released by the Lustre community. Newer Lustre versions provide benefits such as performance enhancements, new features, and support for the latest Linux kernel versions for your client instances. Starting today, you can upgrade your file systems to newer Lustre versions within minutes using the AWS management console or the AWS CLI/SDK .

The feature is now available on all file systems at no additional cost in all AWS Regions where FSx for Lustre is available. For more information, see Amazon FSx for Lustre documentation.

AWS AppSync enhances resolver testing with comprehensive context object mocking

Wed, 12 Feb 2025 19:12:00 GMT

AWS AppSync, a fully managed GraphQL service that helps customers build scalable APIs, announces improvements to its EvaluateCode and EvaluateMappingTemplate APIs. This update enables developers to comprehensively mock all properties of the context object during resolver and function unit testing, including identity information, stash variables, and error handling. The enhancement also introduces improved JSON input validation with clear, actionable error messages, making it easier for developers to identify and fix issues in their context setup.

These improvements simplify the setup and configuration requirements. Developers can now efficiently test functions and resolvers by accessing and validating resolver stash (ctx.stash) and error tracking (ctx.outErrors) in their test environments. The update also simplifies identity mocking by allowing developers to include only the relevant caller information in ctx.identity. The updated console experience provides better visibility into the resolver test results, helping developers troubleshoot and optimize their resolver implementations more effectively.

This enhancement is available in all AWS Regions where AWS AppSync is currently supported.

To learn more about these new features, visit the AWS AppSync documentation and explore the context object reference. You can also explore examples and best practices in the AWS AppSync Developer Guide or get started by visiting the AWS AppSync console.

AWS HealthScribe now supports GIRPP note template for behavioral health

Wed, 12 Feb 2025 18:00:00 GMT

AWS HealthScribe is a generative AI-powered service that automatically generates summarized clinical notes and transcripts from patient-clinician conversations. Documentation for behavioral health related encounters follows a goal centric format based on GIRPP (Goal, Intervention, Response, Progress, Plan) format. With this launch, AWS HealthScribe customers can directly convert a behavioral health related patient-clinician conversation to a GIRPP format note. This can potentially save clinicians hours daily in manually documenting behavioral health related encounters.

Customers using the HealthScribe StartMedicalScribeJob and StartMedicalScribeStream API can simply set note template type parameter as “GIRPP” in the ClinicalNoteGenerationSettings for both async and streaming jobs and will share the output note in GIRPP format as the conversation ends.

This feature is available in US East (N.Virginia) Region. To learn more refer to our documentation.

Amazon Elastic Block Store (EBS) now adds full snapshot size information in Console and API

Wed, 12 Feb 2025 18:00:00 GMT

Amazon Elastic Block Store (Amazon EBS) now displays the full snapshot size for EBS Snapshots. With this enhancement, customers can now retrieve full snapshot sizes programmatically through the DescribeSnapshots API using the new field, full-snapshot-size-in-bytes. The full snapshot size is also displayed in the EBS Snapshots console under the new 'Full snapshot size' column.

Since EBS Snapshots are incremental in nature, if you take multiple snapshots of a volume over time, each snapshot only stores the new or modified blocks while maintaining references to unchanged blocks from previous snapshots.
The ‘full snapshot size’ field shows you the total size of all blocks that make up a snapshot, including both the blocks stored directly in that snapshot and all blocks referenced from previous snapshots. For instance, if you have a 100 GB volume with 50 GB of data, the ‘full snapshot size’ would show 50 GB regardless of whether it's the first snapshot or a subsequent one.

The ‘full snapshot size’ field provides crucial information about your EBS snapshot storage, such as the total size of the snapshot in the archived tier or the amount of data written to the source volume at the time the snapshot was created. Please note that this is different from the incremental snapshot size, which only refers to the size of newly changed blocks stored in that specific snapshot.

This feature is now generally available in all commercial AWS regions and the AWS GovCloud (US) Regions. To get started, see the EBS Snapshots user guide and API specification.

Amazon Polly launches a new voice in Singaporean English

Tue, 11 Feb 2025 22:43:00 GMT

Today, we are excited to announce the general availability of Jasmine - new Singaporean English Neural Text-to-Speech (NTTS) female voice for Amazon Polly.

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk and to build entirely new categories of speech-enabled products.

Jasmine is our first voice for the Singaporean variant of English. Even though Singaporean English is reported to be close to British English, there are some unique pronunciation patterns that we captured while training this voice, such as pronunciation of telephone numbers or postal codes, to make sure that Jasmine sounds like a local speaker. With this launch, we continue building a variety of voice and language options for Amazon Polly customers.

Jasmine and all the other NTTS voices are available in AWS regions supporting Neural TTS. For more details, please read the Amazon Polly documentation and visit our pricing page.

AWS AppSync GraphQL introduces operation-level caching for faster GraphQL API responses

Tue, 11 Feb 2025 22:00:00 GMT

AWS AppSync GraphQL now offers operation-level caching, a new feature that allows customers to cache entire GraphQL query operation responses. This enhancement enables developers to optimize read-heavy GraphQL APIs, delivering faster response times and improved application performance.

Operation-level caching in AWS AppSync GraphQL streamlines the caching process by storing complete query responses. This approach is particularly beneficial for complex queries or high-traffic scenarios, where it can significantly reduce latency and enhance the overall user experience. By caching at the operation level, developers can easily boost API efficiency and create more responsive applications without additional code changes.

Operation-level caching is now available in all AWS Regions where AWS AppSync is offered.

To learn more about operation-level caching in AWS AppSync GraphQL, visit the AWS AppSync documentation. You can start using this feature today by configuring caching settings in the AWS AppSync GraphQL console or through the AWS CLI.

Amazon Connect Contact Lens can now take automated actions based on hold times and agent interaction time

Tue, 11 Feb 2025 18:00:00 GMT

Amazon Connect Contact Lens now enables managers to create rules based on patterns of customer hold time and agent interaction duration, to take automated actions such as categorizing contacts, evaluating agent performance and notifying supervisors. With this launch, managers can create rules to check how well agents comply with guidelines on placing customers on hold. For example, did the agent set expectations on hold duration, before placing the customer on hold for more than 5 minutes? In addition, managers can check if the agent interaction lasted long enough to warrant assessment of complex agent behaviors such as building customer rapport, customer issue root cause analysis, etc. By excluding contacts that were too short, such as less than 30 seconds, managers can get more meaningful insights from automated contact categorization and agent performance evaluations.

This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

Amazon Connect Contact Lens now provides a dashboard with aggregated insights on agent performance evaluations

Tue, 11 Feb 2025 18:00:00 GMT

Contact Lens now provides managers with an agent performance evaluation dashboard, to view aggregations of agent performance, and insights across cohorts of agents over time. With this launch, managers can access a unified dashboard on agent performance across evaluation scores, productivity (e.g., contacts handled, average handle time, etc.) and operational metrics. Through detailed performance scorecards at both team and individual levels, managers can dive deep into specific performance criteria, and compare performance with similar cohorts and over time, to identify agent strengths and improvement opportunities. The dashboard also provides managers with insights into agent time allocation and contact handling efficiency, so they can drive improvements in agent productivity.

This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

Amazon DynamoDB now supports auto-approval of quota adjustments

Tue, 11 Feb 2025 18:00:00 GMT

You can now request for Amazon DynamoDB account-level and table-level throughput quota adjustments using AWS Service Quotas in all AWS Commercial Regions and the AWS GovCloud (US) Regions, and get auto-approved within minutes.

Previously, when requesting a quota adjustment, Service Quotas allowed you to indicate the Amazon DynamoDB quota and desired value to be adjusted to. AWS Support would then review your request, approve, and make the adjustments. With this launch, when you make updates to your DynamoDB account-level and table-level throughput quotas using AWS Service Quotas, your adjustments will get automatically approved and adjusted with just a few clicks. AWS Service Quotas is available at no additional charge.

To learn more about Amazon DynamoDB, the Serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale, please visit the Amazon DynamoDB website.

AWS Secrets and Configuration Provider now integrates with Pod Identity for Amazon EKS

Tue, 11 Feb 2025 18:00:00 GMT

Today, AWS Secrets Manager announces that AWS Secrets and Configuration Provider (ASCP) now integrates with Amazon Elastic Kubernetes Service (Amazon EKS) Pod Identity. This integration simplifies IAM authentication for Amazon EKS when retrieving secrets from AWS Secrets Manager or parameters from AWS Systems Manager Parameter Store. With this new capability, you can manage IAM permissions for Kubernetes applications more efficiently and securely, enabling granular access control through role session tags on secrets.

ASCP is a plugin for the industry-standard Kubernetes Secrets Store CSI Driver. It enables applications running in Kubernetes pods to retrieve secrets from AWS Secrets Manager easily, without the need for custom code or restarting containers when secrets are rotated. The AWS EKS Pod Identity, streamlines the process of configuring IAM permissions for Kubernetes applications in a more efficient and secure way. This integration combines the strengths of both components, enhancing secret management in Amazon EKS environments.

Previously, ASCP relied on IAM Roles for Service Accounts (IRSA) for authentication. Now, you can choose between IRSA and Pod Identity for IAM authentication using the new optional parameter "usePodIdentity". This flexibility allows you to adopt the authentication method that best suits your security requirements and operational needs.

The integration of ASCP with Pod Identity is available in all AWS Regions where AWS Secrets Manager and Amazon EKS Pod Identity are supported. To get started with this new feature, see the following resources AWS Secrets Manager documentation, Amazon EKS Pod Identity documentation and launch blog post.

Amazon EC2 M8g instances now available in AWS Europe (London)

Mon, 10 Feb 2025 22:05:00 GMT

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Europe (London) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which oﬄoads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

Amazon RDS for SQL Server supports new minor version in January 2025

Mon, 10 Feb 2025 18:45:00 GMT

A new minor version of Microsoft SQL Server is now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports this latest minor version of SQL Server 2022 across the Express, Web, Standard, and Enterprise editions.

We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor version is SQL Server 2022 CU17 - 16.0.4175.1.

This minor version is available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions.

Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.

Amazon CloudWatch now provides lock contention diagnostics for Aurora PostgreSQL

Mon, 10 Feb 2025 18:00:00 GMT

Amazon CloudWatch Database Insights now provides lock contention diagnostics for Aurora PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights.

With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process.

You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Aurora PostgreSQL clusters using the Aurora service console, AWS APIs, or the AWS SDK. 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.

CloudWatch Database Insights is available in all public AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights documentation.

Amazon Redshift Serverless announces reduction in IP Address Requirements to 3 per Subnet

Mon, 10 Feb 2025 18:00:00 GMT

Amazon Redshift Serverless announces reduction in IP Address Requirements to 3 per Subnet. When using Amazon Redshift Serverless without Enhanced VPC Routing (EVR) enabled, you only need 3 free IP addresses in each subnet in your Amazon VPC. The new enhancement makes starting with Amazon Redshift Serverless easier, and you do not have to worry about free IP addresses in your Amazon VPC subnet network.

Before this announcement, you must have at least 9 free IP addresses in your subnet when creating an Amazon Redshift Serverless workgroup (workgroup) or when updating your workgroup for the Redshift Processing Units (RPUs), you must have at least 10 free IP addresses in your subnets. With this announcement, you only need 3 free IP addresses in your subnets when creating or updating the workgroup without EVR regardless of the size of the base RPU (8 to 1024 RPUs) or the RPU usage of your workgroup or workgroups enabled with AI-driven scaling and optimizations. Any existing workgroup will also benefit from the decreased IP address needs, regardless of the base RPU size or RPU usage, and including workgroups enabled with AI-driven scaling and optimizations. Your administrative overhead is reduced when RPUs for your workgroup increase as the free IP address requirements are reduced significantly, and you do not need to take steps to free up IP addresses.

The need for 3 free IP addresses in Amazon Redshift Serverless applies to all commercial AWS regions and AWS GovCloud (US) Regions where Amazon Redshift Serverless is available.

Refer to this documentation to learn more about the free IP address in Amazon Redshift Serverless.

Anthropic’s upgraded Claude 3.5 Sonnet now available in the Asia Pacific (Sydney) Region

Mon, 10 Feb 2025 18:00:00 GMT

Anthropic’s upgraded Claude 3.5 Sonnet model is now available in Amazon Bedrock in the Asia Pacific (Sydney) AWS Region. According to Anthropic, the model delivers across-the-board improvements over its predecessor, with significant gains in coding—an area where it already led the field.

The upgraded Claude 3.5 Sonnet model shows wide-ranging improvements on industry benchmarks. On coding the model improves performance on SWE-bench Verified from 33% to 49%. It also improves performance on TAU-bench, an agentic tool use task, from 62.6% to 69.2% in the retail domain, and from 36.0% to 46.0% in the airline domain. The model offers these advancements at the same price of its predecessor. Additionally, Claude 3.5 Sonnet now offers computer use capabilities in Amazon Bedrock in public beta, allowing Claude to perceive and interact with computer interfaces. Developers can direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking buttons, and typing text. Given this technology is early stage, developers are encouraged to explore lower-risk tasks.

To learn more, read the AWS News launch blog, Claude in Amazon Bedrock product page, and documentation. To get started with Claude, visit the Amazon Bedrock console.

Amazon EFS now supports up to 10,000 access points per EFS file system

Mon, 10 Feb 2025 18:00:00 GMT

Amazon Elastic File System (Amazon EFS) has now increased the access points limit from 1,000 to 10,000 per file system, a 10x increase. This launch makes it even easier for customers to manage application-specific access to shared datasets, enabling them to seamlessly scale access management to thousands of users, on a single EFS file system.

Amazon EFS is a fully elastic file storage service that makes it simple to set up and run file workloads in the AWS cloud. Access points are application-specific entry points that enforce a user identity and root directory, and logically isolate data between applications. The new EFS access point limits automatically apply to all file systems and require no action from customers.

The new access point limits are immediately available in all commercial AWS regions, except in AWS China Regions. To learn more, see the Amazon EFS Documentation or create a file system using the Amazon EFS Console, API, or AWS CLI.

CloudWatch Application Signals now supports Runtime Metrics for .NET Applications

Mon, 10 Feb 2025 18:00:00 GMT

Today, AWS is announcing the general availability of runtime metrics for .NET applications in Amazon CloudWatch Application Signals, an OpenTelemetry (OTel)-compatible application performance monitoring (APM) feature in CloudWatch. Without requiring any source code changes, you can now collect runtime metrics such as Garbage Collection and Heap usage from .NET applications and correlate with application metrics, traces, and logs for applications running across EKS, EC2, ECS and on-premise servers.

Runtime metrics enable real-time monitoring of your application’s resource consumption, such as memory and CPU usage. Now, for .NET applications, developers and SREs can determine whether anomalies in runtime metrics affect key application metrics—such as errors, latency, and throughput. For example, they can identify if a service latency spike is a result of an increase in garbage collection pauses by viewing these metric graphs side by side. Additionally you will be able to identify thread contention, track memory allocation patterns, and pinpoint memory or CPU spikes that may lead to application slowdown, impacting end-user experience.

Runtime metrics support is available for Java, Python and now .NET applications across all regions Application Signals is available in.

See documentation to learn more about the standard and runtime metrics collected by Application Signals. Don’t forget to opt in to the new, cost-effective pricing for Application Signals. For more details, visit the Amazon CloudWatch pricing page and look for the “Application Signals (including complete visibility into application transaction spans)” section.

Announcing AWS CloudFormation support for AWS Transfer Family web apps

Mon, 10 Feb 2025 18:00:00 GMT

You can now use AWS CloudFormation templates to create and manage your AWS Transfer Family web apps. This enables you to define and deploy Transfer Family web apps via infrastructure-as-code so you can automate centralized management at scale.

With CloudFormation templates, you can programmatically provision and configure your Transfer Family web app, associated customizations, and S3 access grants in a single deployment. This eliminates time-consuming manual configurations and ensures you maintain consistent, secure implementations across departments. You can rapidly scale your file transfer interfaces from hundreds to thousands of users while maintaining strict security and compliance standards through version-controlled infrastructure templates.

AWS CloudFormation support is available in all regions where Transfer Family web apps are available. To learn more about Transfer Family web apps, visit the Transfer Family User Guide and read our blog. For sample templates and detailed documentation, visit the AWS CloudFormation documentation.

AWS Step Functions expands data source and output options for Distributed Map

Fri, 07 Feb 2025 22:50:00 GMT

AWS Step Functions now supports additional data sources and output options for Distributed Map, enabling more flexible large-scale parallel processing workflows. Distributed map can now process data from JSON Lines (JSONL) and a broader range of delimited file formats stored in Amazon S3. Additionally, distributed map offers new output transformations for greater control over result formatting.

AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to build distributed applications and data processing workloads. With this update, you can more easily iterate over and process diverse datasets using Step Functions distributed map. In addition to existing JSON and comma separated value (CSV) file support, distributed map now supports JSONL, and new delimited file formats, such as semicolon-delimited files and tab-delimited files. This expands processing capabilities to a wider range of data formats without custom pre-processing. The new flexible output transformations give you more control over how results are formatted, enabling easier aggregation of results and simplifying integration with downstream systems.

To get started, you can use the distributed map mode today in the AWS Step Functions console or read this blog post. To learn more, visit the Step Functions developer guide.

Amazon FSx now supports Internet Protocol Version 6 (IPv6) on FSx Service APIs

Fri, 07 Feb 2025 18:00:00 GMT

Amazon FSx now offers customers the option to use Internet Protocol version 6 (IPv6) while accessing the Amazon FSx Service APIs.

More and more customers are adopting IPv6 to mitigate IPv4 address exhaustion in their private networks or to satisfy government mandates such as such as the US Office of Management and Budget (OMB) M-21-07 memorandum. With this launch, customers can standardize their applications and workflows for managing their Amazon FSx resources on the new version of Internet Protocol by using the new dual-stack Amazon FSx Service endpoints.

IPv6 support for Amazon FSx Service APIs is available in all commercial, AWS GovCloud (US), and AWS China regions where Amazon FSx is available. To learn more, visit the Amazon FSx user guide.

Announcing custom payment schedules for AWS Marketplace Channel Partner private offers

Fri, 07 Feb 2025 18:00:00 GMT

AWS Marketplace now supports custom payment schedules for private offers, giving Channel Partners the ability to add margins on private offers with installment plans. Channel Partners can now adjust each scheduled payment individually, either through the AWS Marketplace Management Portal or the AWS Marketplace Catalog API.

Previously, Channel Partners could only apply a uniform percentage markup across all installments in a private offer. With this update, they can now adjust the payment amount for each installment in the schedule, providing greater flexibility in structuring deals and managing cash flow. Once the buyer accepts and pays their invoices, the Channel Partner and independent software vendor (ISV) will receive their appropriate payment as defined in the offer and resell agreement. This saves Channel Partners significant time and effort, eliminating the need to request margin updates from AWS.

Channel Partners can use this feature for all AWS Marketplace products using installment plans sold through Channel Partner private offers, across all supported currencies. This feature is available in all AWS Regions where AWS Marketplace is available.

To learn more, visit the AWS Marketplace Seller Guide. To try the new capability, visit the AWS Marketplace Management Portal.

Amazon Data Lifecycle Manager now supports Internet Protocol Version 6 (IPv6)

Fri, 07 Feb 2025 18:00:00 GMT

Amazon Data Lifecycle Manager now offers customers the option to use Internet Protocol version 6 (IPv6) addresses for their new and existing endpoints. Customers moving to IPv6 can simplify their networks stack by running their Data Lifecycle Manager dual-stack endpoints on a network supporting both IPv4 and IPv6, depending on the protocol used by their network and client.

Customers create Amazon Data Lifecycle Manager policies to automate the creation, retention, and management of EBS Snapshots and EBS-backed Amazon Machine Images (AMIs). The policies can also automatically copy created resources across AWS Regions, move EBS Snapshots to EBS Snapshots Archive tier, and manage Fast Snapshot Restore. Customers can also create policies to automate creation and retention of application-consistent EBS Snapshots via pre and post-scripts, as well as create Default Policies for comprehensive protection for their account or AWS Organization.

Amazon Data Lifecycle Manager with IPv6 is now available in all AWS commercial Regions.

To learn more about configuring Amazon Data Lifecycle Manager endpoints for IPv6, please refer to our documentation.

AWS Config now supports 4 new resource types

Fri, 07 Feb 2025 18:00:00 GMT

AWS Config now supports 4 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources.

With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators.

You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:

AWS::EC2::VPCBlockPublicAccessExclusion
AWS::EC2::VPCBlockPublicAccessOptions
AWS::S3Express::BucketPolicy
AWS::S3Express::DirectoryBucket

To view the complete list of AWS Config supported resource types, see supported resource types page.

Amazon EC2 High Memory U7i instances are now available in Seoul (Asia Pacific) Region

Fri, 07 Feb 2025 18:00:00 GMT

Amazon EC2 U7in-8tb instances are now available in the Seoul (Asia Pacific) region. U7in-8tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids), delivering up to 135% more compute performance over existing U-1 instances. U7in-8tb instances offer 8TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7in-8tb instances offer 448 vCPUs, support up to 60Gbps 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.

AWS WAF Console adds new top insights visualizations in additional regions

Thu, 06 Feb 2025 21:00:00 GMT

AWS WAF’s console dashboard now includes richer visualizations that give you insights into the top sources of traffic in the AWS GovCloud (US) Regions. With this feature, customers with CloudWatch logging destinations can view a new top insights section within the all traffic dashboard.

Customers previously used the all traffic dashboard, a default dashboard that populates visualizations based on CloudWatch metrics. As customers strive to continue gaining additional visibility into their traffic, they have requested richer visualizations based on logs in addition to visualizations based on CloudWatch metrics.

Starting today, customers with CloudWatch logging destinations will have access to this new top insights section within the all traffic dashboard, which includes richer visualizations based on terminating rules, client IPs, URI path, and more. These top insights will enable customers to better understand their security posture, quickly identify anomalies, and optimize their WAF configurations accordingly. For example, if a customer sees more than expected traffic from an suspicious IP address, they can take steps to create a IP-blocking rule to address this anomaly.

Standard CloudWatch pricing applies to metrics and logs queried through the dashboard. For more information about pricing, visit the AWS CloudWatch Pricing page. The feature is now available in the AWS GovCloud (US) Regions for all origin types supported by WAF. For more information about the all traffic dashboard, visit the Developer Guide.

AWS IAM Identity Center now offers improved error messages and AWS CloudTrail logging for provisioning issues

Thu, 06 Feb 2025 20:25:00 GMT

AWS IAM Identity Center now provides improved error messages to simplify troubleshooting when syncing users and groups. You can also build automated monitoring and auditing for these errors using the AWS CloudTrail logs.

IAM Identity Center helps you securely connect your workforce identities and manage their access centrally across AWS accounts and applications. With improved error messaging, IAM Identity Center provides actionable information to troubleshoot provisioning issues as you sync your users and groups using SCIM or configurable AD sync. CloudTrail logs enable automated monitoring of synchronization processes and provide audit trails of provisioning issues.

IAM Identity Center is available at no additional cost in all AWS Regions where it is supported. To learn more, see the AWS IAM Identity Center User Guide.

AWS Elemental MediaTailor now supports log delivery to additional destinations

Thu, 06 Feb 2025 19:10:00 GMT

AWS Elemental MediaTailor now supports delivering logs to Amazon S3 and Amazon Data Firehose, in addition to Amazon CloudWatch Logs. Additionally, customers now receive 50 KB of MediaTailor logs per ad inserted (50,000 KB per 1,000 ads inserted) for free when delivering to supported destinations.

Customers delivering MediaTailor logs to CloudWatch logs benefit from advanced log analytics features such as Live Tailing, Anomaly Detection, and Logs Insights as well as metrics and dashboards to monitor ad monetization. Delivery to S3 or Firehose enables offline analysis and real-time streaming to other AWS services and third-party tools.

Usage over the free 50 KB per ad insert will be charged as per MediaTailor logs pricing. For details, please refer to the pricing section of the MediaTailor product page.

Visit the AWS region table for a full list of AWS Regions where AWS Elemental MediaTailor is available. To learn more about MediaTailor, please visit the product page.

Amazon RDS for Oracle now supports January 2025 Release Update

Thu, 06 Feb 2025 18:20:00 GMT

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the January 2025 Release Update (RU) for Oracle Database versions 19c and 21c.

To learn more about Oracle RUs supported on Amazon RDS for each engine version, see the Amazon RDS for Oracle Release notes. If the auto minor version upgrade (AmVU) option is enabled, your DB instance is upgraded to the latest quarterly RU six to eight weeks after it is made available by Amazon RDS for Oracle in your AWS Region. These upgrades will happen during the maintenance window. To learn more, see the Amazon RDS maintenance window documentation.

For more information about the AWS Regions where Amazon RDS for Oracle is available, see the AWS Region table.

Amazon MSK expands Express Brokers to 10 more AWS Regions

Thu, 06 Feb 2025 18:00:00 GMT

Amazon MSK has added support for Express brokers in all AWS Regions where Amazon MSK offers Graviton3 based M7g instances. You can now benefit from Amazon MSK Express brokers in ten additional AWS Regions: Asia Pacific (Mumbai), Europe (Paris), South America (Sao Paulo), Asia Pacific (Hyderabad), Asia Pacific (Seoul), Asia Pacific (Malaysia), Europe (London), Canada (Central), Europe (Spain), and Middle East (Bahrain).

Express brokers are a new broker type for Amazon MSK Provisioned designed to deliver up to 3x more throughput per broker, scale up to 20x faster, and reduce recovery time by 90% as compared to standard Apache Kafka brokers. Express brokers come pre-configured with Kafka best practices by default, support all Kafka APIs, and provide the same low-latency performance that Amazon MSK customers expect, so they can continue using existing client applications without any changes.

You can now create an MSK cluster with Express brokers in these AWS Regions from the Amazon MSK console. To learn more, check out this blog.

AWS AppSync releases CDK L2 constructs to simplify creating WebSocket APIs

Thu, 06 Feb 2025 18:00:00 GMT

AWS AppSync Events allows developers to create serverless WebSocket APIs that can broadcast real-time data to millions of subscribers without managing infrastructure or connection state. Developers simply create their API, and publish events without having the worry about scale and handling fan-out. Today, AWS AppSync announces the release of AWS Cloud Development Kit (CDK) L2 constructs for AWS AppSync Events, enabling developers to programmatically create and manage Event APIs and channel namespaces using infrastructure as code. These new constructs simplify the process of creating Event APIs and managing access controls, reducing the complexity of integrating real-time capabilities into applications.

The new L2 constructs provide a higher-level abstraction that makes it easier for developers to define AppSync Event APIs and their associated channel namespaces using familiar programming languages. Developers can now easily grant access to specific channel namespaces to AWS resources such as AWS Lambda functions, streamlining the integration between services. This eliminates the need to manually configure complex IAM permissions and reduces the potential for security misconfigurations.

These CDK L2 constructs are available in all AWS Regions where AWS AppSync is available. To get started with the new AWS AppSync Events CDK L2 constructs, visit the AWS CDK API Reference documentation.

Amazon GuardDuty Malware Protection for S3 announces price reduction

Thu, 06 Feb 2025 18:00:00 GMT

Amazon GuardDuty Malware Protection for Amazon S3 provides a fully-managed offering to scan new object uploads to S3 bucket for malware. Starting February 1, 2025, we are lowering the price for the data scanned dimension by 85%. Over the past few months we have made improvements to our scanning infrastructure and data processing efficiencies, enabling us to reduce the price as part of our commitment to pass savings back to customers.

GuardDuty Malware Protection for S3 is priced based on two dimensions: the number of objects evaluated and the amount of data scanned. We are lowering the price for the data scanned dimension, for example in US East (N. Virginia) from $0.60 to $0.09 per GB. The price for objects evaluated remains unchanged. With this price reduction, you will be more capable of building secure and cost-effective data pipelines on Amazon S3 for applications with untrusted uploads across the enterprise.

The price reduction applies automatically to all AWS Regions where GuardDuty Malware Protection for S3 is available, requiring no action from customers. For additional information visit Amazon GuardDuty pricing page. To receive programmatic updates on new GuardDuty features and threat detections, subscribe to the Amazon GuardDuty AWS Simple Notification Service (SNS) topic.

Amazon Keyspaces is now available in Africa (Cape Town) Region

Thu, 06 Feb 2025 18:00:00 GMT

Amazon Keyspaces (for Apache Cassandra), a scalable, highly available, and fully managed Cassandra-compatible database service, is now available in the Africa (Cape Town) Region.

With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. The service is completely serverless, eliminating the need to provision, patch, or manage servers, or handle software installation and maintenance. You pay only for the resources you use, and tables automatically scale up and down based on application traffic. Amazon Keyspaces supports applications serving thousands of requests per second with virtually unlimited throughput and storage. The service includes built-in security features with encryption by default and continuous data backup capabilities through point-in-time recovery.

For pricing information in the Africa (Cape Town) Region, visit Amazon Keyspaces (for Apache Cassandra) pricing. To see the complete list of AWS Regions where Amazon Keyspaces is available, check AWS Regional Services.

To begin using Amazon Keyspaces in the Africa (Cape Town) Region, refer to Getting Started with Amazon Keyspaces (for Apache Cassandra) in the Amazon Keyspaces Developer Guide.

AWS Toolkit for Visual Studio Code now supports Amazon DocumentDB (with MongoDB compatibility)

Thu, 06 Feb 2025 18:00:00 GMT

AWS Toolkit for Visual Studio Code (VSCode) now includes Amazon DocumentDB (with MongoDB compatibility). This integration allows customers to use VS Code to view, create and manage Amazon DocumentDB resources.

To get started, you can download the latest AWS-Toolkit extension from VSCode marketplace or update your AWS-Toolkit extension if you already have it installed in your VSCode environment. Then you can configure the extension with credentials for your AWS account and connect to AWS explorer in VSCode. Once connected, you can interact with the DocumentDB menu item to create DocumentDB clusters or manage your existing DocumentDB clusters.
To learn more, see Amazon DocumentDB support in VSCode.

Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page, pricing page and documentation.

AWS Verified Access launches Zero Trust access to resources over non-HTTP(S) protocols

Thu, 06 Feb 2025 18:00:00 GMT

Today, AWS announces the general availability of AWS Verified Access’ support for secure access to resources that connect over protocols such as TCP, SSH, and RDP. With this launch, you can use Verified Access to provide secure VPN-less access to all your corporate applications and resources using AWS zero trust principles. This feature eliminates the need to manage separate access, and connectivity solutions for non-HTTP(S) resources on AWS and simplifies security operations.

Verified Access allows admins to set access policies based on user identity and device posture. It evaluates access for new connections and continuously monitors active connections, terminating connections when security requirements specified in the access policies aren't met. Now you can extend your existing Verified Access policies to enable secure access to non-HTTP(S) applications and resources such as databases, and SAP and git-repositories running on EC2 instances. For example, you can centrally define access policies granting prod database access only to authenticated database administrators using compliant, managed devices. This simplifies your security operations by allowing you to centrally create, group, and manage access policies for all applications and resources with similar security requirements from a single interface.

This feature is generally available in 18 AWS regions: US East (Ohio), US East (Northern Virginia), US West (N California), US West (Oregon), Canada (Central), Asia Pacific (Sydney), Asia Pacific (Jakarta), Asia Pacific (Tokyo), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Europe (Ireland), Europe (London), Europe (Frankfurt), Europe (Milan), Europe (Stockholm), South America (São Paulo), and Israel (Tel Aviv).

To learn more, visit the product page, pricing page, and documentation.

Reshape your AWS CloudFormation stacks seamlessly with stack refactoring

Thu, 06 Feb 2025 18:00:00 GMT

AWS CloudFormation introduces a new capability called stack refactoring that makes it easy to reorganize cloud resources across your CloudFormation stacks. Stack refactoring enables you to move resources from one stack to another, split monolithic stacks into smaller components, and rename the logical name of resources within a stack. This enables you to adapt your stacks to meet architectural patterns, operational needs, or business requirements.

As your workloads scale and requirements evolve, re-architecting resources into a new stack structure can become necessary. For example, you may need to split a monolithic stack for easier resource lifecycle management or rename resource logical IDs to align with new naming conventions. Previously, refactoring a stack required multiple manual steps, such as updating templates to retain targeted resources, removing them from current stacks, and then importing them into new stacks. Stack refactoring improves the speed and safety of this process. To refactor a stack, you first provide the CloudFormation templates that reflect the desired stack structure. Then, you generate a preview of the refactor operation, allowing you to confirm that the refactoring changes align with your requirements. If the planned changes meet your expectations, you can execute the refactor operation through an atomic workflow. This new capability enables seamless and continuous adaptation to evolving architectural patterns.

Stack refactor is available in all AWS Regions where CloudFormation is supported. To get started, update your CloudFormation templates to reflect the desired stack structure, then use the AWS CLI or SDK to perform the refactor operation. Visit our user guide to learn more about this feature.

Amazon Q Developer introduces a new, simplified setup experience for Pro tier subscriptions

Thu, 06 Feb 2025 18:00:00 GMT

Today, we are excited to announce a new onboarding experience that makes it easy to set up and manage Amazon Q Developer Pro tier subscriptions. The workflow on Amazon Q console has been redesigned to provide a friendlier 2-step setup for users or teams that are looking to try out Amazon Q Developer in their Integrated Development Environment (IDE).

AWS account administrators can create subscriptions using the Amazon Q console for their standalone or AWS Organizations member accounts using a guided setup to create local users and configure Amazon Q Developer managed applications. Once the setup is complete, subscribed users will receive details on setting up credentials to start using Amazon Q Developer. After installation of the Amazon Q Developer plugin in their preferred IDE, users can leverage context-aware code recommendations and enhanced development capabilities to accelerate their software development. Administrators in the Organizations management accounts will continue to maintain their existing IAM Identity Center capabilities to manage workforce access to Amazon Q Developer.

To learn more about the new getting started experience, visit Amazon Q Developer User Guide. To get started with Amazon Q Developer, visit the AWS Console.

Cost Optimization Hub supports more EC2 Auto Scaling group recommendations

Thu, 06 Feb 2025 18:00:00 GMT

Cost Optimization Hub now supports idle EC2 Auto Scaling group recommendations and rightsizing recommendations for EC2 Auto Scaling groups with scaling policies and multiple instance types. It also allows you to easily filter and aggregate EC2 Auto Scaling group cost optimization opportunities separately from standalone EC2 instances, making it easier to identify EC2 Auto Scaling groups with the highest cost-saving opportunities.

With this launch, you can view, consolidate, and prioritize cost optimization opportunities for EC2 Auto Scaling groups across your organization’s member accounts and AWS Regions through a single dashboard. Cost Optimization Hub helps you quantify estimated savings from these recommendations, taking into account your specific discounts, such as Reserved Instances and Savings Plans, enabling you to easily compare and prioritize recommendations.

The new EC2 Auto Scaling group experience and recommendations are available in Cost Optimization Hub across all AWS Regions where Cost Optimization Hub and AWS Organizations are supported.

Amazon Personalize now supports Internet Protocol Version 6 (IPv6)

Thu, 06 Feb 2025 18:00:00 GMT

Amazon Personalize introduces dual stack support for the Personalize API endpoints, enabling you to connect using Internet Protocol Version 6 (IPv6), Internet Protocol Version 4 (IPv4), or dual stack clients. Dual stack support is also available when you privately access the Personalize API endpoint from your Amazon Virtual Private Cloud (VPC) using AWS PrivateLink.

The urgency to transition to Internet Protocol version 6 (IPv6) is driven by the continued growth of internet, which is exhausting available Internet Protocol version 4 (IPv4) addresses. With simultaneous support for both IPv4 and IPv6 clients on Personalize endpoints, you are able to gradually transition from IPv4 to IPv6 based systems and applications, without needing to switch all over at once. This enables you to help meet IPv6 compliance requirements and removes the need for expensive networking equipment to handle the address translation between IPv4 and IPv6.

Support for IPv6 on Amazon Personalize in all supported regions. To learn more on best practices for configuring IPv6, see the whitepaper on IPv6 in AWS.

Amazon ECS Service Connect is now available in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions

Wed, 05 Feb 2025 21:30:00 GMT

Amazon Elastic Container Service (Amazon ECS) launches its networking capability called ECS Service Connect in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions.

Amazon ECS is a fully managed container orchestration service that makes it easier for you to deploy, manage, and scale containerized applications. With ECS Service Connect, customers can easily configure service discovery, connectivity, traffic observability, and encryption for services running in Amazon ECS. This enables more efficient application development by allowing you to focus on writing application code instead of managing complex networking infrastructure

To learn more about how to get started with Amazon ECS Service Connect and how it works, see our documentation.

Amazon DocumentDB now offers one-click connectivity with CloudShell

Wed, 05 Feb 2025 20:10:00 GMT

Starting today, you can connect to your Amazon DocumentDB (with MongoDB compatibility) clusters with a single click through AWS CloudShell directly from the AWS Management Console. This new feature allows our customers to easily connect to their DocumentDB clusters directly from their browser, without requiring any local setup.

One-click connectivity with Cloudshell automatically configures VPCs, security groups, and MongoDB shell installation, eliminating the need for manual tasks like setting up security groups and ingress/egress rules. This streamlines the process for database administrators and developers, enabling them to connect quickly to their DocumentDB cluster to preview data or execute adhoc queries.

This feature is available in all AWS Regions where both Amazon DocumentDB and AWS CloudShell services are supported. For more information about region availability, see the AWS Region table. To get started, follow Get started with Amazon DocumentDB to create an Amazon DocumentDB cluster, then click the "Connect to cluster" button to connect via CloudShell.

Amazon SageMaker AI is now available in Asia Pacific (Malaysia)

Wed, 05 Feb 2025 20:10:00 GMT

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Malaysia).

Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

To learn more and get started, see SageMaker AI documentation and pricing page.

Amazon EC2 M6in and M6idn instances are now available in Europe (Zurich)

Wed, 05 Feb 2025 19:30:00 GMT

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M6in and M6idn instances are available in AWS Europe (Zurich) region. These sixth-generation network optimized instances, powered by 3^rd Generation Intel Xeon Scalable processors and built on the AWS Nitro System, deliver up to 200Gbps network bandwidth, for 2x more network bandwidth over comparable fifth-generation instances. Customers can use M6in and M6idn instances to scale their performance and throughput of network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function.

M6in and M6idn instances are available in 10 different instance sizes including metal, offering up to 128 vCPUs and 512 GiB of memory. They deliver up to 100Gbps of Amazon Elastic Block Store (EBS) bandwidth, and up to 400K IOPS. M6in and M6idn instances offer Elastic Fabric Adapter (EFA) networking support on 32xlarge and metal sizes. M6idn instances offer up to 7.6 TB of high-speed, low-latency instance storage.

With this regional expansion, M6in and M6idn instances are available in the following AWS Regions: US East (Ohio, N. Virginia), US West (N. California, Oregon), Europe (Ireland, Frankfurt, Spain, Stockholm, Zurich), Asia Pacific (Mumbai, Singapore, Tokyo, Sydney), Canada (Central), and AWS GovCloud (US-West). Customers can purchase the new instances through Savings Plans, On-Demand, and Spot instances. To learn more, see M6in and M6idn instances page.

Amazon Q Business introduces orchestration for user query management

Wed, 05 Feb 2025 18:10:00 GMT

Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, introduced an intelligent orchestration feature that simplifies conversational experience by understanding user queries, and automatically directing the queries to the right data sources and plugins to generate relevant responses.

Earlier, users would need to manually switch between different work applications to complete their tasks and gain insights from data sources. Enabling orchestration simplifies the user conversational experience by automatically directing user queries to indexed enterprise data sources and plugins, eliminating the need for manual selection. Orchestration works with retrieval augmented generative (RAG) data for enterprise-specific knowledge, and with both built-in and custom plugins, allowing users to interact with popular business tools like Jira, Salesforce, ServiceNow, Smartsheet, and PagerDuty - all through a single conversation in Amazon Q Business.

The new orchestration feature is available in all AWS Regions where Amazon Q Business is available. To get started with the feature, customers can access the setting directly from the Amazon Q Business console. To learn more, please visit Using global controls in Amazon Q Business. To learn more about Amazon Q Business plugins and how they can enhance your organization's productivity, visit the Amazon Q Business webpage and explore the Amazon Q Business plugin documentation.

Announcing the general availability of Amazon EC2 F2.6xlarge, a new F2 instance size

Wed, 05 Feb 2025 18:00:00 GMT

Today, AWS is announcing the general availability of a new smaller size of Amazon EC2 F2 instances, F2.6xlarge. Amazon EC2 F2 instances are the second-generation of FPGA-powered instances, purpose built for developing and deploying reconfigurable hardware in the cloud. The new F2.6xlarge instance size has 1 FPGA, compared to the currently available F2 sizes with 4 and 8 FPGAs.

Amazon EC2 F2 instances are ideal for FPGA-accelerated solutions in genomics, multimedia processing, big data, network acceleration, and more. AWS customers can use the new instance size, F2.6xlarge, for applications that are more cost-efficient or performant when running on a single FPGA. F2.6xlarge also provides a lower cost entry point to using F2 instances.

F2 instances are the first to feature an FPGA with 16 GB of high bandwidth memory (HBM). The new F2.6xlarge size features a 3rd generation AMD EPYC processor with 24 vCPUs, 256 GB of system memory, 950 GB of NVMe SSD local storage, and 12.5 Gbps of network bandwidth.

The F2.6xlarge size is now available in the US East (N. Virginia), Europe (London), and US West (Oregon) AWS Regions. To learn more, please visit the Amazon EC2 F2 Instances page.

AWS IAM announces support for encrypted SAML assertions

Wed, 05 Feb 2025 18:00:00 GMT

Today, AWS Identity and Access Management (IAM) announced support for encrypted SAML assertions. SAML is an open standard that many identity providers (IdPs) use for federated single sign-on (SSO), enabling users or applications in your company to log into the AWS Management Console or call AWS API operations. You can now configure your identity provider to encrypt the SAML assertions that it sends to IAM. This ensures that your assertions are encrypted when passed through intermediaries (for example, the end user’s web browser).

You can use the AWS IAM console, APIs, or CLI to configure SAML encryption for your identity providers that support encryption. Please refer to IAM and your identity provider’s product documentation for detailed configuration steps.

This feature is available in all AWS commercial and AWS GovCloud (US) Regions. To learn more, please refer to IAM documentation.

AWS Wickr now provides a dedicated space to organize and access files

Wed, 05 Feb 2025 18:00:00 GMT

AWS Wickr is excited to announce the launch of "Wickr Files" a dedicated space that allows you to access and manage files in conversations. Moderators of Wickr rooms and users in self-moderated group conversations can now upload and organize files in folders. Users can toggle between “Messages” and “Files” tabs to access relevant content and streamline collaboration.

AWS Wickr is a security-first messaging and collaboration service with features designed to help keep your internal and external communications secure, private, and compliant. AWS Wickr protects one-to-one and group messaging, voice and video calling, file sharing, screen sharing, and location sharing with end-to-end encryption. Customers have full administrative control over data, which includes addressing information governance polices, configuring ephemeral messaging options, and deleting credentials for lost or stolen devices. You can log both internal and external conversations in an AWS Wickr network to a private data store that you manage, for data retention and auditing purposes.

AWS Wickr is available in commercial AWS Regions that include US East (N. Virginia), AWS Canada (Central), AWS Asia Pacific (Malaysia, Singapore, Sydney, and Tokyo), and AWS Europe (London, Frankfurt, Stockholm, and Zurich). It is also available in AWS GovCloud (US-West) as Department of Defense Impact Level 5 (DoD IL5)-authorized AWS WickrGov.

To learn more and get started, see the following resources:

Amazon Redshift Query Editor V2 is now available in Asia Pacific (Malaysia) region

Wed, 05 Feb 2025 18:00:00 GMT

Amazon Redshift announces the general availability of Query Editor V2 with Amazon Redshift in the Asia Pacific (Malaysia) region. Amazon Redshift Query Editor V2 makes data in your Amazon Redshift data warehouse and data lake more accessible with a web-based tool for SQL users such as data analysts, data scientists, and database developers. With Amazon Redshift Query Editor V2, users can explore, analyze, and collaborate on data. It reduces the operational costs of managing query tools by providing a web-based application that allows you to focus on exploring your data without managing your infrastructure.

The Amazon Redshift Query Editor V2 is a separate web-based SQL client application that you use to author and run queries on your Amazon Redshift data warehouse. You can use it to edit and run queries, visualize results, and share your work with your team. With Amazon Redshift Query Editor V2, you can create databases, schemas, tables, and user-defined functions (UDFs). In a tree-view panel, for each of your databases, you can view its schemas. For each schema, you can view its tables, views, UDFs, and stored procedures. The Amazon Redshift Query Editor V2 comes with sample data and notebooks available for you to be loaded into a sample database and corresponding schema. You can use it to load data into a database in an Amazon Redshift cluster or workgroup.

To learn more, see the documentation or the demo.

AWS Step Functions now supports 100,000 state machines and activities per AWS account

Wed, 05 Feb 2025 18:00:00 GMT

AWS Step Functions has increased the default quota for the maximum number of registered state machines and activities from 10,000 to 100,000. This tenfold increase enables customers to create and manage significantly more workflows within a single AWS account, providing greater scalability and flexibility.

AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to build distributed applications and orchestrate data processing workloads. With this quota increase, customers can now create up to 100,000 state machines and activities, unblocking use cases that require a large number of workflows such as applications that dynamically create new workflows. This new quota is automatically applied to all AWS accounts and requires no action on your part.

This quota increase is available in all AWS Regions where Step Functions is available. To learn more, see the AWS Step Functions Developer Guide.

Announcing the general availability of AWS Database Migration Service Serverless support for files with an S3 source endpoint

Wed, 05 Feb 2025 18:00:00 GMT

AWS Database Migration Service Serverless (AWS DMSS) now supports files on S3 source endpoints. Using AWS DMSS, you can now migrate data in CSV or parquet format from S3 to any supported AWS DMSS target endpoint. AWS DMSS supports both full load and Change Data Capture (CDC) migration modes for CSV and Parquet files with S3 source endpoints using AWS DMS console, AWS CLI, or AWS SDKs in all regions where DMSS is available.

For information about AWS DMS S3 source endpoints see DMS S3. Visit AWS DMS to get started.

For AWS DMS regional availability, please refer to the AWS Region Table.

Amazon Connect Contact Lens can now automatically email agents about completed performance evaluations

Tue, 04 Feb 2025 22:59:00 GMT

Contact Lens now enables businesses to send automatic email notifications to agents when their contacts are evaluated, so they can review the evaluations and improve their performance. Managers can create rules to send emails based on specific evaluation criteria. For example, you can set up automatic notifications for agents who receive evaluation scores below 50%, ensuring prompt attention to performance opportunities. Managers can also personalize email content based on performance levels — whether recognizing top performers or providing constructive guidance for improvement areas.

This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

Amazon CloudWatch and OpenSearch Service expand region support for integrated analytics experience

Tue, 04 Feb 2025 22:55:00 GMT

Amazon CloudWatch and OpenSearch Service integrated analytics experience is now available in 2 additional commercial regions: Asia Pacific (Hong Kong) and Europe (Stockholm).

With this integration, CloudWatch Logs customers have two more query languages for log analytics, in addition to CloudWatch Logs Insights QL. Customers can use SQL to analyze data, correlate logs using JOIN, sub-queries, and use SQL functions, namely, JSON, mathematical, datetime, and string functions for intuitive log analytics. They can also use the OpenSearch PPL to filter, aggregate and analyze their data. With a few clicks, CloudWatch Logs customers can create OpenSearch dashboards for VPC, WAF, and CloudTrail logs to monitor, analyze, and troubleshoot using visualizations derived from the logs. OpenSearch customers no longer have to copy logs from CloudWatch for analysis, or create ETL pipelines. Now, they can use OpenSearch Discover to analyze CloudWatch logs in-place, and build indexes and dashboards on CloudWatch Logs.

With this launch the integrated experience is now generally available in Asia Pacific (Hong Kong) and Europe (Stockholm) along with regions where OpenSearch Service direct query is available. Please read pricing and free tier details on Amazon CloudWatch Pricing, and OpenSearch Service Pricing. To get started, please refer to Amazon CloudWatch Logs vended dashboard and Amazon OpenSearch Service Developer Guide.

Amazon EC2 C6in instances are now available in Asia Pacific (Malaysia)

Tue, 04 Feb 2025 22:15:00 GMT

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6in instances are available in AWS Region Asia Pacific (Malaysia). These sixth-generation network optimized instances, powered by 3rd Generation Intel Xeon Scalable processors and built on the AWS Nitro System, deliver up to 200Gbps network bandwidth, for 2x more network bandwidth over comparable fifth-generation instances.

Customers can use C6in instances to scale the performance of applications such as network virtual appliances (firewalls, virtual routers, load balancers), Telco 5G User Plane Function (UPF), data analytics, high performance computing (HPC), and CPU based AI/ML workloads. C6in instances are available in 10 different sizes with up to 128 vCPUs, including bare metal size. Amazon EC2 sixth-generation x86-based network optimized EC2 instances deliver up to 100Gbps of Amazon Elastic Block Store (Amazon EBS) bandwidth, and up to 400K IOPS. C6in instances offer Elastic Fabric Adapter (EFA) networking support on 32xlarge and metal sizes.

C6in instances are available in these AWS Regions: US East (Ohio, N. Virginia), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), Middle East (Bahrain, UAE), Israel (Tel Aviv), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Mumbai, Seoul, Singapore, Sydney, Tokyo), Africa (Cape Town), South America (São Paulo), Canada (Central), and AWS GovCloud (US-West, US-East). To learn more, see the Amazon EC2 C6in instances. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

Amazon Q Developer now troubleshoots AWS Console errors in all AWS Commercial regions

Tue, 04 Feb 2025 18:00:00 GMT

Amazon Q Developer has expanded its AWS Console error coverage from US East (N. Virginia) and US West (Oregon) to AWS Commercial regions. Users can now troubleshoot AWS Console errors using Amazon Q Developer regardless of their console region, including locations like Europe (Frankfurt).

In the Amazon Web Services (AWS) Management Console, Amazon Q Developer diagnoses common errors you encounter while working with AWS services, such as insufficient permissions, incorrect configuration, and exceeding service limits. Q Developer troubleshoots errors arising from the following services in the AWS Management Console: Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Container Service (Amazon ECS), Amazon Simple Storage Service (Amazon S3), AWS Lambda and Amazon CloudFormation (Amazon CFn). In addition, Q Developer troubleshoots IAM Permission and Athena console errors across all AWS Console pages.

To learn more about using Amazon Q Developer to troubleshoot AWS Console errors, visit the AWS documentation. Amazon Q Developer is currently available in select regions, and you can review information about where your data is processed here. For pricing details, visit the Amazon Q Developer pricing page.

Amazon Connect Cases now supports conditionally required fields

Tue, 04 Feb 2025 18:00:00 GMT

Amazon Connect Cases now supports conditionally required fields to streamline case field population for agents and reduce data entry errors. Administrators can now configure case templates that prompt agents to enter relevant information in specific situations, such as providing a “Close Reason” when a case moves to “Closed” status, “Product Serial Number” when the “Issue Type” is “Hardware Problem”, or “Disposition Code” when handling a system-generated case. Conditionally required fields help agents follow processes for capturing necessary information, improving data quality for reporting, resolution tracking, and compliance.

For region availability, please see the availability of Amazon Connect features by Region. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.

AWS Batch launches new features for access control and management of AWS Batch on EKS workloads

Mon, 03 Feb 2025 20:10:00 GMT

AWS Batch on EKS now supports configurable Kubernetes namespaces, Persistent Volume Claims (PVCs), subPath to Kubernetes pod container volumes, and Kubernetes pod annotations. Using different Kubernetes namespaces for your AWS Batch jobs, you can improve workload isolation by defining job permission boundaries both within EKS cluster and for access to other AWS services. With Kubernetes PVCs and subPath you can give your AWS Batch jobs access only to the right data or particular subPath within a data volume. Finally, EKS pod annotations make it easier to integrate with external tools and other AWS services such as AWS Secrets Manager by allowing you to attach necessary metadata directly to your AWS Batch job.

You can configure Kubernetes namespaces, PVCs, subPath, and annotations while registering a new AWS Batch job definition or making a revision to an existing job definition. You can also override the namespace and annotations from your job definition when you submit the job. For more information, see Register Job Definition and Submit Job pages in the AWS Batch API reference and our AWS HPC Blog post.

AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. Configurable Kubernetes namespaces, PVCs, subPath, and annotations are available in any AWS Region where AWS Batch is available.

Amazon EC2 now supports automated recovery of Microsoft SQL Server with VSS

Mon, 03 Feb 2025 18:30:00 GMT

Amazon EC2 now supports automated recovery of Microsoft SQL Server databases from Volume Shadow Copy Services (VSS) based EBS snapshots. Customers can use an AWS Systems Manager Automation Runbook and specify a restore point of time to automate the recovery process without needing to stop a running Microsoft SQL Server database.

Volume Shadow Copy Services (VSS) allows application data to be backed up while applications are still running. This new feature allows customers to automate the recovery from VSS-based EBS snapshots and ensure rapid recovery of large databases within minutes. This feature also offers customers the flexibility to restore to a new database or achieve point-in-time recovery.

This feature is available in all commercial AWS Regions and the AWS GovCloud (US) Regions.

To learn more, visit this technical document in the Microsoft SQL Server on Amazon EC2 User Guide.

Amazon RDS for SQL Server supports new minor version in December 2024

Mon, 03 Feb 2025 18:00:00 GMT

A new minor version of Microsoft SQL Server is now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports this latest minor version of SQL Server 2019 across the Express, Web, Standard, and Enterprise editions.

We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor version is SQL Server 2019 CU30 - 15.0.4415.2.

This minor version is available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions.

Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.

Amazon Connect now supports configuration of which states an agent can be in when adhering to their schedule

Mon, 03 Feb 2025 18:00:00 GMT

Amazon Connect now provides the ability to choose which states an agent can be in when adhering to their schedule, making it easier for you to customize adherence tracking to match your unique operational needs. With this launch, you can now define custom mappings between agent statuses and schedule activities. For example, schedule activity “Work” can be mapped to multiple agent statuses such as “Available” and “Back-office work.” An agent scheduled for “Work” from 8 AM to 10 AM will be considered adherent if they are either in “Available” or “Back-office work” status. Additionally, you can now view the actual name of the scheduled activity in the real-time adherence dashboard (as opposed to only Productive/Non-productive). With custom mappings and enhanced real-time dashboard, this launch provides more accurate and flexible agent adherence monitoring.

This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.

AWS CodeBuild now integrates with Buildkite

Mon, 03 Feb 2025 18:00:00 GMT

AWS CodeBuild now offers native support for self-hosted Buildkite runners, enabling you to execute Buildkite pipeline jobs within the CodeBuild environment. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment.

Buildkite is a continuous integration and continuous delivery platform. With this feature, your Buildkite jobs can access CodeBuild’s comprehensive suite of instance types and managed images, and utilize native integrations with AWS services. You have control over the build environment, without the overhead of manually provisioning and scaling the compute resources.

The Buildkite runner feature is available in all regions where CodeBuild is offered. For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page.

To use the self-hosted Buildkite runners, follow the tutorial to set up a runner project in CodeBuild. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.

AWS Transfer Family web apps are now available in 20 additional Regions

Fri, 31 Jan 2025 21:25:00 GMT

AWS Transfer Family web apps are now available in the following additional Regions: North America (N. California, Canada West, Canada Central), South America (São Paulo), Europe (London, Paris, Zurich, Milan, Spain), Africa (Cape Town), Israel (Tel Aviv), Middle East (Bahrain, UAE), and Asia Pacific (Osaka, Hong Kong, Hyderabad, Jakarta, Melbourne, Seoul, Mumbai). This expansion allows you to create Transfer Family web apps in additional commercial Regions where Transfer Family is available.

AWS Transfer Family web apps provide a simple interface for accessing your data in Amazon S3 through a web browser. With Transfer Family web apps, you can provide your workforce with a fully managed, branded, and secure portal for your end users to browse, upload, and download data in S3.

To learn more about AWS Transfer Family web apps, read our blog and visit the Transfer Family User Guide. For complete regional availability information, see the AWS Region Table.

Q in QuickSight Dashboard Q&A

Fri, 31 Jan 2025 21:25:00 GMT

Dashboard Q&A by Amazon Q in QuickSight enables QuickSight Authors to add Data Q&A to their dashboards in one-click. With dashboard Q&A, QuickSight users can ask and answer questions about their data using natural language.

Dashboard Q&A capabilities of Q in QuickSight automatically extract semantic information presented in dashboards and use it to enable Q&A over specific data and improves existing Topic based Q&A experiences by automatically using semantics from dashboards to improve Q&A answers. With Dashboard Q&A Authors can quickly deliver self-service access to customized data insights for the entire organization.

Dashboard Q&A is launching to all regions in which QuickSight’s generative data Q&A is available today, as documented here.

To learn more, visit our documentation.

Amazon EBS now supports additional resource-level permissions for creating EBS volumes from snapshots

Fri, 31 Jan 2025 18:40:00 GMT

Amazon Elastic Block Store (Amazon EBS) now supports additional resource-level permissions for creating EBS volumes from snapshots. With this launch, you now have more granular controls to set resource-level permissions for the creation of a volume and selection of the source snapshot when calling the CreateVolume action in your IAM policy. This allows you to control the IAM identities that can create EBS volumes from source snapshots, and the conditions that they can use these snapshots to create EBS volumes.

To meet your specific permission needs on the source snapshots, you can also specify any of 5 EC2-specific condition keys in your IAM policy: ec2:Encrypted, ec2:VolumeSize, ec2:Owner, ec2:ParentVolume, and ec2:SnapshotTime. Additionally, you can use global condition keys for the source snapshot.

This new resource-level permission model is available in all AWS Regions where EBS volumes are available. To learn more about using resource-level permissions to create EBS volume, or transitioning to the new resource-level permission model from previous permission model, please visit the launch blog. For more information about Amazon EBS, please visit the product page.

Amazon Q Developer agent now runs builds and tests to validate generated code in real time

Fri, 31 Jan 2025 18:30:00 GMT

Today, Amazon Q Developer announces an improved software development agent capable of running build and test scripts on generated code to validate the code before the developers review. This new capability detects errors, ensures generated code is in sync with the project’s current state, and accelerates the development process by producing higher quality code on the first iteration.

With the developer’s natural language input request and project-specific context, the Amazon Q Developer agent is designed to assist in implementing complex multi-file features and bug fixes. The agent will analyze the existing codebase, make necessary code changes, and run the selected build and test commands to ensure the code is working as expected. Where errors are found, the agent will iterate on the code prior to requesting the developer’s review. Throughout the process, the agent maintains a real-time connection with the developer, providing updates as changes are made. With control over what commands Amazon Q runs through a Devfile, you can customize the development process for better accuracy.

The Amazon Q Developer agent for software development is available for JetBrains and Visual Studio Code IDEs in all AWS regions where Q Developer is available.

To learn more about Amazon Q Developer, visit the service overview page. For more details about this announcement and how to get started using the Amazon Q Developer agent for software development, read the AWS DevOps & Developer Productivity blog.

AWS Deadline Cloud now supports configurable limits to effectively manage fixed resources

Fri, 31 Jan 2025 18:00:00 GMT

AWS Deadline Cloud now includes the ability to specify a limit for a specific resource, like a floating license, and also constrain the maximum number of workers that work on a job. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design.

By adding a limit to your Deadline Cloud farm, you can specify a maximum amount of concurrent usage of resources by workers in your farm. Capping resource usage ensures tasks don't start until the resources needed to run are available. For example, if you have 50 floating licenses for a particular plugin required by your rendering workflow, a Deadline Cloud limit allows you to ensure no more than 50 tasks requiring that limit are started, preventing tasks from failing due to the license being unavailable. Additionally, setting a maximum number of workers on a job enables you to prevent any single job from consuming all the available workers so that you can efficiently run multiple jobs concurrently when there are a limited number of workers available.

Limits are available in all AWS Regions where Deadline Cloud is available.

To learn more, visit the AWS Deadline Cloud documentation.

Amazon Connect now supports agent time off scheduling up to 24 months in the future

Fri, 31 Jan 2025 18:00:00 GMT

Amazon Connect now includes the ability for agents to schedule time off up to 24 months in the future, making it easier for managers and agents to plan ahead of time. With this launch, agents can now book time off in Connect up to 24 months ahead of time (an increase from 13 months). Additionally, you can now upload pre-approved time off windows for a scheduling group (group allowance) for up to 27 months at a time (an increase from 13 months). These increased limits provide agents more flexibility to plan their personal time and also provide managers better visibility into future staffing needs, thus enabling more efficient resource allocation.

This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.

Amazon RDS Custom for SQL Server supports up to 64TiB and 256,000 IOPS with io2 Block Express volumes

Fri, 31 Jan 2025 18:00:00 GMT

Amazon RDS Custom for SQL Server now offers enhanced storage and performance capabilities, supporting up to 64TiB of storage and 256,000 I/O operations per second (IOPS) with io2 Block Express volumes. This represents an improvement from the previous limit of 16 TiB and 64,000 IOPS with io2 Block Express. These enhancements enable transactional databases and data warehouses to handle larger workloads on a single Amazon RDS Custom for SQL Server database instance.

The support for 64TiB and 256,000 IOPS with io2 Block Express for Amazon RDS Custom for SQL Server is now generally available in all AWS regions where both Amazon RDS io2 Block Express volumes and Amazon RDS Custom for SQL Server are currently supported.

Amazon RDS Custom for SQL Server is a managed database service that allows customization of the underlying operating system and includes the ability to bring your own licensed SQL Server media or use SQL Server Developer Edition while providing the time-savings, durability, and scalability benefits of a managed database service. To get started, visit the Amazon RDS Custom for SQL Server User Guide. See Amazon RDS Custom Pricing for up-to-date pricing of instances, storage, data transfer and regional availability.

Amazon AppStream 2.0 now supports administrative control over admin consent for linking OneDrive for Business

Fri, 31 Jan 2025 18:00:00 GMT

Amazon AppStream 2.0 now allows administrator to control whether admin consent is required when users link their OneDrive for Business accounts as a persistent storage option.

The new capability simplifies the management of AppStream 2.0 persistent storage and the admin consent process. After enabling OneDrive for Business for an AppStream 2.0 stack and specifying the OneDrive domains, administrators can now configure whether admin consent is needed for each OneDrive domain. If admin consent is required, administrators must approve users’ OneDrive connections within their Azure Active Directory environment when users attempt to link their account to AppStream 2.0.

This feature is available at no additional cost in all AWS Regions where AppStream 2.0 is offered. It is supported only on AppStream stacks using single-session Windows fleets.

To get started, open the AppStream 2.0 console and create a stack. In the Enable storage step, enable OneDrive for business and configure the admin consent settings. For more details, refer to Administer OneDrive for business. You can also programmatically manage the setting using AppStream 2.0 APIs. For API details, see the CreateStack API documentation.

AWS Glue expands connectivity to 14 native connectors for applications

Fri, 31 Jan 2025 18:00:00 GMT

AWS Glue announces 14 new connectors for applications, expanding its connectivity portfolio. Customers can now use AWS Glue native connectors to ingest data from Blackbaud Raiser’s Edge NXT, CircleCI, Docusign Monitor, Domo, Dynatrace, Kustomer, Mailchimp, Microsoft Teams, Monday, Okta, Pendo, Pipedrive, Productboard and Salesforce Commerce Cloud.

As enterprises increasingly rely on data-driven decisions, they need to integrate with data from various applications. With 14 new connectors, customers have more options to easily establish a connection to their applications using the AWS Glue console or AWS Glue APIs without the need to learn application-specific APIs. Glue native connectors provide the scalability and performance of the AWS Glue Spark engine along with support for standard authorization and authentication methods like OAuth 2. With these connectors, customers can test connections, validate their connection credentials, preview data, and browse metadata.

AWS Glue native connectors to Blackbaud, CircleCI, Docusign Monitor, Domo, Dynatrace, Kustomer, Mailchimp, Microsoft Teams, Monday, Okta, Pendo, Pipedrive, Productboard, Salesforce Commerce Cloud are available in all AWS commercial regions.

To get started, create new AWS Glue connections with these connectors and use them as source in AWS Glue studio. To learn more, visit AWS Glue documentation for connectors.

Amazon EventBridge enhances event source discovery in the console

Fri, 31 Jan 2025 18:00:00 GMT

The Amazon EventBridge console now displays the source and detail type of all available AWS service events when you create a rule in the EventBridge console. This makes it easier for customers to discover and utilize the full range of AWS service events when building event-driven architectures. Additionally, the EventBridge documentation now includes an automatically updated list of all AWS service events, facilitating access to the most current information.

Amazon EventBridge Event Bus is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. With this update, developers can quickly search and filter through all available AWS service events, including event types, within the EventBridge console, when configuring event patterns in the sandbox and rules, and in the documentation, enabling customers to more efficiently create event-driven integrations and reduce misconfiguration.

This feature in the EventBridge console is available in all commercial AWS Regions. To learn more about discovering and using AWS service events in Amazon EventBridge, see the updated list of AWS service events in the documentation here.

Amazon Connect Cases now provides more granular search capabilities and customizable case list views

Fri, 31 Jan 2025 18:00:00 GMT

Amazon Connect Cases now allows agents and supervisors to filter cases in the agent workspace by custom field values, making it easier to narrow down search results and find relevant cases. Users can also customize the case list view and search results layout by adding custom columns, hiding or rearranging existing columns, and adjusting the number of cases per page. These enhancements enable users to tailor the case list view to meet their needs and manage their case workloads more effectively.

For region availability, please see the availability of Amazon Connect features by Region. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.

Amazon Managed Service for Prometheus collector adds support for cross-account ingestion

Fri, 31 Jan 2025 18:00:00 GMT

Amazon Managed Service for Prometheus collector, a fully-managed agentless collector for Prometheus metrics, adds support for cross-account ingestion. Starting today, you can agentlessly scrape metrics from Amazon Elastic Kubernetes Service clusters in different accounts than your Amazon Managed Service for Prometheus workspace.

While it was previously possible to apply AWS multi-account best practices for centralized observability with Amazon Managed Service for Prometheus workspaces, you had to use self-managed collection. This meant that you had to run, scale, and patch telemetry agents yourself to scrape metrics from Amazon Elastic Kubernetes Service clusters in various accounts in order to ingest them into a central Amazon Managed Service for Prometheus workspaces in a different account. With this launch, you can now use the Amazon Managed Service for Prometheus collector to get rid of this heavy lifting and ingest metrics in a cross-account setup without having to self-run a collector. In addition, you can now also use the Amazon Managed Service for Prometheus collector to scrape metrics from for Amazon Elastic Kubernetes Service clusters to ingest them into Amazon Managed Service for Prometheus workspaces created with customer managed keys.

Amazon Managed Service for Prometheus collector is available in all regions where Amazon Managed Service for Prometheus is available. To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page.

Amazon Redshift Concurrency Scaling is now available in 1 additional region

Fri, 31 Jan 2025 18:00:00 GMT

Amazon Redshift Concurrency Scaling is now available in the Asia Pacific (Malaysia) region.

Amazon Redshift Concurrency Scaling elastically scales query processing power to provide consistently fast performance for hundreds of concurrent queries. Concurrency Scaling resources are added to your Redshift cluster transparently in seconds, as concurrency increases, to process queries without wait time. Amazon Redshift customers with an active Redshift cluster earn up to one hour of free Concurrency Scaling credits, which is sufficient for the concurrency needs of most customers. Concurrency scaling allows you to specify usage control providing customers with predictability in their month-to-month cost, even during periods of fluctuating analytical demand.

To enable Concurrency Scaling, set the Concurrency Scaling Mode to Auto in your Amazon Web Services Management Console. You can allocate Concurrency Scaling usage to specific user groups and workloads, control the number of Concurrency Scaling clusters that can be used, and monitor Cloudwatch performance and usage metrics.

To learn more about concurrency scaling including regional-availability, see our documentation and pricing page.

Amazon S3 Tables add schema definition support to the CreateTable API

Thu, 30 Jan 2025 21:05:00 GMT

Amazon S3 announces schema definition support for the CreateTable API to programmatically create tables with pre-defined columns. This enhancement simplifies table creation for data analytics applications, making it easier to get started and ingest data in S3 table buckets.

To use this feature, you can specify column names and their data types as new request headers in the CreateTable API to define a table's schema in an S3 table bucket. You can also define a table's schema when you create tables using the AWS CLI or the AWS SDK.

To create tables with a pre-defined schema, upgrade to the latest version of the AWS CLI and AWS SDKs. This support is available in all AWS Regions where S3 Tables is available. To learn more, visit the Amazon S3 Tables overview page and documentation.

Amazon S3 Tables now support 10,000 tables per table bucket

Thu, 30 Jan 2025 21:00:00 GMT

Amazon S3 Tables now support creating up to 10,000 tables in each S3 table bucket. With this higher quota, you can scale up to 100,000 tables across 10 table buckets within an AWS Region per AWS Account. The higher table quota is available by default on all table buckets at no additional cost.

S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. You can use S3 Tables with AWS Analytics services through the preview integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink.

S3 Tables support 10,000 tables in each S3 table bucket in all AWS Regions where S3 Tables is available. To learn more, visit the Amazon S3 Tables overview page and documentation.

Amazon Q Developer Pro tier adds automated user onboarding emails

Thu, 30 Jan 2025 20:15:00 GMT

The Amazon Q Developer Pro tier now offers automated email notifications for newly subscribed users. When a new user is subscribed by an administrator, users will now automatically receive a welcome email within 24 hours containing important information to help them get started quickly and efficiently with their new subscription. This automation streamlines the onboarding process and saves administrators valuable time by eliminating the need for them to manually notify each new user.

In the welcome email, users will find guidance on accessing the Q Console chat and details on downloading and installing the Q Developer plugin in their Integrated Development Environment (IDE). The email includes their unique Start URL and AWS region for authentication. Additionally, it provides quick-start steps for using Q Developer in their IDE.

To learn more about this new feature and other Amazon Q Developer Pro tier subscription management features, visit the AWS Console.

Amazon SageMaker Unified Studio now in preview in seven additional Regions

Thu, 30 Jan 2025 18:55:00 GMT

Amazon SageMaker Unified Studio is now available in preview in seven additional AWS Regions: Asia Pacific (Seoul, Singapore, and Sydney), Europe (Frankfurt and London), South America (São Paulo), and Canada (Central).

Amazon SageMaker Unified Studio (preview) is an integrated data and AI development environment that enables collaboration and helps teams build data products faster. It brings together familiar tools from AWS analytics and AI/ML services for data processing, SQL analytics, machine learning model development, and generative AI application development into a single experience. SageMaker Unified Studio provides unified data access through Amazon SageMaker Lakehouse, and enhanced governance features are built in to help you meet enterprise security requirements. With the availability of new Regions, customers who have data sovereignty and low latency requirements can now use SageMaker Unified Studio while keeping their data and workloads closer to their primary operational Regions.

For more information on AWS Regions where SageMaker Unified Studio is available in preview, see Supported Regions.

You can create an Amazon SageMaker Unified Studio domain by visiting the Amazon SageMaker console. To get started, see the following resources:

CloudWatch Database Insights now supports historical OS process snapshots

Thu, 30 Jan 2025 18:00:00 GMT

CloudWatch Database Insights now supports the analysis of historical snapshots of operating system (OS) processes running on your databases, allowing you to correlate a spike in database load with OS process metrics.

Database administrators (DBAs) leverage OS metrics to understand how different processes or threads use system resources on their database instances. With this new Database Insights feature, DBAs can now access historical snapshots of OS processes running on their databases, including key metrics like memory and CPU utilization for each running process. OS process snapshots in Database Insights helps DBAs understand how each running process is using system resources on their databases for a given timestamp, making it easy to correlate OS process metrics with database load.

OS process snapshots are now available for both Aurora PostgreSQL and Aurora MySQL in all regions where Database Insights is available. To learn more about OS process snapshots in Database Insights, please refer to the public documentation. To learn more about Database Insights pricing, refer to the CloudWatch pricing page.

To get started with OS process snapshots in Database Insights, ensure you have enabled RDS Enhanced Monitoring and Database Insights Advanced mode. From the Database Instance dashboard, navigate to Database Telemetry and click on the OS processes tab. To correlate OS process metrics with database load, click on any data point on the database load chart, and a snapshot of OS processes will populate accordingly with key metrics per running process for the selected timestamp.

SES Mail Manager is now available in 11 new AWS Regions, 17 total

Thu, 30 Jan 2025 18:00:00 GMT

Amazon SES announces that the SES Mail Manager product is now available in 11 new commercial AWS Regions. This expands coverage from the original six commercial AWS Regions where Mail Manager first launched, meaning that Mail Manager is now offered in all non-opt-in commercial Regions where SES offers sending and receiving services.

SES Mail Manager allows customers to configure email routing and delivery mechanisms for their domains, or for private use, and to have a single view of email governance, risk, and compliance solutions for all email workloads. Mail Manager is most often deployed to replace legacy hosted mail relays, or to simplify integration alongside third-party mailbox providers or external email content security solutions. In addition, Mail Manager allows customers to perform onward delivery to WorkMail mailboxes, archive content to built-in archiving and search/export features, and to interoperate with third-party security add-ons offered directly within the Mail Manager console experience.

The new Regions include US East (Ohio), US West (San Francisco), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Canada Central (Montreal), Europe (London), Europe (Paris), Europe (Stockholm), and South America (São Paulo).

They join US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland).

Customers can learn more about SES Mail Manager here and explore the new Regions in their SES consoles for any of the available Regions listed above.

Amazon Timestream for InfluxDb now supports Storage Scaling

Thu, 30 Jan 2025 18:00:00 GMT

We are excited to announce the launch of storage scaling functions for Amazon Timestream for InfluxDB, allowing you to scale your allocated storage and change your storage Tiers as needed. With Storage Scaling, in you few simple steps you have greater flexibility and control over your time-series data processing and analysis.

Timestream for InfluxDB is used in applications that require high-performance time-series data processing and analysis. You can quickly respond to changes in data ingestion rates, query volumes, or other workload fluctuations by moving to a faster more performant storage tier or extending your allocated storage capacity, ensuring that your Timestream for InfluxDB instances always have the necessary resources to handle your workload and cost effectively. This means you can focus on building and deploying your applications, rather than worrying about storage sizing and management.

Support for Storage Scaling is available in all Regions where Timestream for InfluxDB is available. See here for a full listing of our Regions. To learn more about Amazon Timestream for InfluxDB, please refer to our user guide.

You can create a Amazon Timestream Instance from the Amazon Timestream console, AWS Command line Interface (CLI), or SDK, and AWS CloudFormation. To learn more about compute scaling for Amazon Timestream for InfluxDB, visit the product page, documentation, and pricing page.

Amazon EMR Serverless adds support for Public Subnets

Thu, 30 Jan 2025 18:00:00 GMT

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Today, we are excited to announce support for Public Subnets that allow you to use EMR Serverless for cost effective outbound data transfer from the cloud for big data processing workloads.

EMR Serverless applications allow you to enable VPC connectivity for use cases that need to connect to VPC resources or for outbound data transfer from the cloud to access resources on the Internet or other cloud providers. Previously, VPC connectivity supported only Private Subnets, hence you needed to configure a NAT (network address translation) Gateway for outbound connectivity from the cloud, which adds additional charges based on the amount of data transferred. Now, you can configure VPC connectivity for EMR Serverless applications on Public Subnets, which have a direct route to an internet gateway. This allows you to eliminate the NAT Gateway charges and use EMR Serverless for cost-effective outbound data transfer from the cloud for big data processing workloads.

Amazon EMR Serverless Public Subnet support is available in all supported EMR releases and in all AWS Regions where EMR Serverless is available, including the AWS GovCloud (US) Regions. To learn more, visit Configuring VPC Access in the EMR Serverless documentation.

Announcing new AWS Wavelength Zone in Casablanca

Thu, 30 Jan 2025 18:00:00 GMT

Today, we are announcing the general availability of AWS Wavelength in partnership with Orange in Casablanca, Morocco. With this first Wavelength Zone in North Africa, Independent Software Vendors (ISVs), enterprises, and developers can now use AWS infrastructure and services to support applications with data residency, low latency, and resiliency requirements.

AWS Wavelength, in partnership with Orange, delivers on-demand AWS compute and storage services to customers in North Africa. AWS Wavelength enables customers to build and deploy applications that meet their data residency, low-latency, and resiliency requirements. AWS Wavelength offers the operational consistency, industry leading cloud security practices, and familiar tools for automation that are similar to an AWS Region. With AWS Wavelength in partnership with Orange, developers can now build the applications needed for use cases, such as AI/ML inference at the edge, gaming, and fraud detection.

Learn more about AWS Wavelength and get started today.

AWS Elastic Beanstalk now supports PHP 8.4 on Amazon Linux 2023

Thu, 30 Jan 2025 18:00:00 GMT

AWS Elastic Beanstalk now enables customers to build and deploy PHP 8.4 applications on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to take advantage of the newest PHP features while leveraging the enhanced security and performance of AL2023.

AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. PHP 8.4 on AL2023 delivers significant performance improvements, critical bug fixes, and a new Document Object Model (DOM) API. Developers can create Elastic Beanstalk environments running PHP 8.4 on AL2023 through the Elastic Beanstalk Console, CLI, or API.

This platform is available in all commercial AWS Regions where Elastic Beanstalk is available, including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.

For more information about PHP 8.4 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.

Amazon CloudWatch Synthetics adds IPv6 support

Thu, 30 Jan 2025 18:00:00 GMT

CloudWatch Synthetics now allows canaries running in a VPC to make outbound requests to IPv6 endpoints allowing monitoring of IPv6-only and dual stack enabled endpoints over IPv6. You can also access CloudWatch Synthetics APIs over both IPv4 and IPv6 through new dual stack compatible regional endpoints. Additionally, PrivateLink access to Synthetics within VPCs is now available over IPv6 connections.

Using CloudWatch Synthetics, you can now monitor the availability and performance of websites or microservices accessible via IPv6 endpoints ensuring that end users can use the applications seamlessly irrespective of their network protocol. You can create IPv6 enabled canaries in your VPC using the CLI, CDK, CloudFormation, or the AWS console, and update existing VPC canaries to support dual stack connectivity without making any script changes. You can monitor endpoints external to your VPC by giving the canary internet access and configuring the VPC subnets appropriately. Now you can manage Synthetics resources in environments with IPv6-only networking policies, or access Synthetics APIs via IPv6 without traffic traversing the internet using PrivateLink helping meet security and regulatory requirements.

IPv6 support for Synthetics is available in all commercial regions where CloudWatch Synthetics is present at no additional cost to the users.

To learn how to configure a IPv6 canary in a VPC see documentation, or click here to find dual-stack API management endpoints for Synthetics. See user guide and One Observability Workshop to get started with CloudWatch Synthetics.