Week 34 (19 Aug - 25 Aug)

Knowledge Bases for Amazon Bedrock supports Anthropic’s Claude 3.5 Sonnet

Published Date: 2024-08-23 19:00:00

Knowledge Bases for Amazon Bedrock securely connects foundation models (FMs) to internal company data sources for Retrieval Augmented Generation (RAG) to deliver relevant, context-specific, and accurate responses. Anthropic’s Claude 3.5 Sonnet foundation model is now generally available on Knowledge Bases.

Anthropic’s Claude 3.5 Sonnet—the first model in the forthcoming Claude 3.5 model family—has a 200,000 context window (roughly 150,000 words, or around 300 pages of material) and raises the industry bar for intelligence, outperforming other generative AI models on a wide range of evaluations. Claude 3.5 Sonnet is well-suited for tasks that require complex reasoning, quick outputs, and RAG. Additionally, Claude 3.5 Sonnet is supported through the fully managed RetrieveAndGenerate API.

Anthropic’s Claude 3.5 Sonnet model support for Amazon Bedrock Knowledge Bases is now generally available in the US East (N. Virginia), US West (Oregon), Europe (Frankfurt) and Asia Pacific (Tokyo) AWS Regions.?To learn more, read the AWS News launch blog and Claude in Amazon Bedrock product page. To get started, refer to the Knowledge Bases for Amazon Bedrock documentation and visit the Amazon Bedrock console.

Amazon Connect provides new ways to configure callbacks

Published Date: 2024-08-23 17:00:00

Amazon Connect now allows you to configure flows to take actions on callbacks prior their creation and while they are in queue. For example, you can now automate sending a notification to a customer via SMS before calling them back, update callback attributes based on latest customer data for agents to reference, or even terminate the callback if the issue has already been resolved. You can also now run flows to dynamically re-prioritize and transfer callbacks to another queue based on customer information from Customer profiles or third-party applications, or if it’s just taking too long for the callback queue to drain. This feature is available in all AWS regions where Amazon Connect is offered. To learn more about this feature, see the Amazon Connect administrator guide. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website. ?

CloudFormation simplifies resource discovery and template review in the IaC Generator

Published Date: 2024-08-22 19:30:00

Today, AWS CloudFormation announces two new enhancements to the IaC generator, which customers use to create infrastructure-as-code (IaC) from existing resources. Now, after the IaC generator finishes scanning the resources in an account, it presents a graphical summary of the different resource types to help customers more quickly find the resources they want to include in their template. After selecting resources, customers can also preview their template in AWS Application Composer, which visualizes the full application architecture with the resources and their relationships. Customers use the best practice of IaC, where they specify and version infrastructure configuration using code, to easily replicate their environments, reliably deploy changes to them, and apply controls to enforce their security and governance policies. The IaC generator helps customers adopt IaC on the resources they created through other means, such as the AWS Management Console or CLI. After generating a template for selected resources, customers can import the resources into CloudFormation, download the template for deployment to other regions and accounts, or generate a CDK CLI command that converts the template into a CDK app in their preferred programming language, such as TypeScript or Python. The IaC generator is available in AWS Regions where CloudFormation is available (please refer to the AWS Region table). To get started, open the CloudFormation console and select the IaC generator in the navigation panel. To learn more:

• CloudFormation documentation for Scan Summary
• CloudFormation documentation for Application Composer

Amazon Q now provides more details about user subscriptions and associated resources

Published Date: 2024-08-22 18:40:00

The Amazon Q Console now provides administrators with greater visibility into how users are utilizing Amazon Q Developer Pro, Amazon Q Business Pro, and Amazon Q Business Lite subscriptions. This new feature enables administrators to view a list of subscribed users, their subscription status (e.g., active, pending, under free trial, canceled), and their corresponding associations. Associations refer to the applications, accounts, or services that a user has access to through their subscription. Organization administrators will have a view of all subscription associations across applications in various accounts, while member account administrators' visibility will be limited to only the applications within accounts they administer. With this update, administrators can monitor subscribed users of the Amazon Q offerings. Key capabilities include listing all subscribed users, their status, the specific subscription types, the applications they have associations to (with AWS account numbers), filtering and searching users and associations, and generating a downloadable report. The visibility into user subscriptions and associations is available across all AWS regions where the specific Amazon Q subscriptions are offered. To learn more about Amazon Q's subscription management features, visit the Amazon Q Console or Amazon Q documentation.

Amazon DocumentDB (with MongoDB Compatibility) Global Clusters introduces Failover

Published Date: 2024-08-22 17:50:00

Amazon DocumentDB now supports Global Cluster Failover, a fully managed experience for performing a cross-region failover to respond to unplanned events such as a regional outage. With Global Cluster Failover, you can convert a secondary region into the new primary region in typically a minute and also maintain the multi-region Global Cluster configuration. An Amazon DocumentDB Global Cluster is a single cluster that can span up to 6 AWS Regions, enabling disaster recovery from region-wide outages and low latency global reads. Combined with Global Cluster Switchover, you can easily promote a secondary region to a primary region for both unplanned and planned events. Global Cluster Switchover is a fully managed cross-region database failover experience meant for planned events such as regional rotations. See our documentation to learn more about Global Cluster Failover and Switchover. Amazon DocumentDB makes it easy and cost effective to operate critical document workloads in a highly-available manner at virtually any scale without managing infrastructure. To get started with Amazon DocumentDB, take a look at our getting started page.

AWS Amplify introduces multiple bucket support for Storage

Published Date: 2024-08-22 17:00:00

AWS Amplify is launching multiple bucket support for Storage (JavaScript Only). You can now configure more than one storage bucket in your Amplify backend configuration. Amplify storage integrates with Amazon Simple Storage Service (Amazon S3) and provides an intuitive approach to managing cloud-based file storage. With this new feature you can upload and download files from and to multiple storage buckets, providing greater flexibility and control over your storage resources. With multiple bucket support, you can better manage your storage resources by configuring additional storage buckets and applying existing access permissions to different paths within each bucket. Amplify Storage APIs for JavaScript provide APIs like upload, download, and more and now accept a bucket alias or bucket name and region. Currently, the UI components (Storage Image and Storage Manager) and Amplify console display content only from the default storage bucket. To learn how to configure additional storage buckets for different use cases, follow our blog post. If you're already using Amplify Storage, check out our documentation to add additional buckets to your existing storage configuration. For those new to Amplify Storage, get started by following our guide to set up storage for your Amplify project.

Amazon Connect Contact Lens now provides an audit trail for changes to an agent performance evaluation

Published Date: 2024-08-22 17:00:00

Amazon Connect Contact Lens now provides an audit trail to review the changes made to an agent performance evaluation when it is re-submitted. This launch displays the audit trail, which was previously available within a customer’s S3 bucket, directly in the Amazon Connect UI. When an evaluator submits changes to an existing evaluation form, managers can now view an audit trail of who submitted the original evaluation, who re-submitted the evaluation, and what changes they made. Contact center managers can use this information to perform internal audits and improve consistency across evaluators. This feature is available in all regions where Contact Lens performance evaluations is already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page. ?

Amazon Data Firehose is now available in the AWS Asia Pacific (Malaysia) region

Published Date: 2024-08-22 17:00:00

Starting today, you can use Amazon Data Firehose in the AWS Asia Pacific (Malaysia) region. Amazon Data Firehose is the easiest way to load streaming data into data stores and analytics tools. You can capture, transform, and deliver streaming data into Amazon S3, Amazon OpenSearch Service, Amazon Redshift, Snowflake, Apache Iceberg, and third party analytics applications such as Splunk and Datadog, enabling real-time analytics use cases. With Amazon Data Firehose, you don't need to write applications or manage resources. You configure your data producers to send data to Amazon Data Firehose, and it automatically delivers the data to the destination that you specified. You can also configure Amazon Data Firehose to transform your data before delivering it. To get started, you need an AWS account. Once you have an account, you can create a delivery stream in the Amazon Data Firehose Console. To learn more, explore the Amazon Data Firehose Developer Guide. For Amazon Data Firehose availability, refer to the AWS Region Table.

AWS Resource Access Manager is now available in the AWS Asia Pacific (Malaysia) Region

Published Date: 2024-08-22 17:00:00

You can now use AWS Resource Access Manager (AWS RAM) in the AWS Asia Pacific (Malaysia) Region. AWS RAM helps you securely share your resources across your organization, with specific organizational units (OUs), or with individual AWS accounts. You can centrally create a resource and then share that resource using AWS RAM to reduce the operational overhead of managing resources in a multi-account environment. For more information, visit the AWS RAM product page, and see the AWS Region Table for complete regional availability information. To get started with using AWS RAM to share resources, visit the AWS Resource Access Manager Console. ?

Amazon DocumentDB (with MongoDB Compatibility) Global Clusters introduces Switchover

Published Date: 2024-08-22 17:00:00

Amazon DocumentDB now supports Global Cluster Switchover which enables you to seamlessly change your global cluster’s primary AWS Region, the region that serves writes, while preserving the replication between all regions in the global cluster. An Amazon DocumentDB Global Cluster is a single cluster that can span up to 6 AWS Regions, enabling disaster recovery from region-wide outages and low latency global reads. With this switchover capability, you can repeatedly change which AWS Region hosts the primary cluster while preserving the physical topology of your Global Cluster and avoiding unnecessary application changes. This feature synchronizes secondary clusters with the primary before making any other changes so there is no data loss (recovery point objective is 0). Switchover can be used for scenarios like rotating the primary region for regulatory compliance or disaster recovery exercises. Amazon DocumentDB makes it easy and cost effective to operate critical document workloads in a highly-available manner at virtually any scale without managing infrastructure. To get started with Amazon DocumentDB, take a look at our getting started page.

Amazon Route 53 Resolver Endpoints now available in the Asia Pacific (Malaysia) Region

Published Date: 2024-08-22 17:00:00

You can now use Amazon Route 53 Resolver endpoints for hybrid cloud configurations in the Asia Pacific (Malaysia) Region. With this launch, you also have the option to enable Route 53 Resolver endpoints in the Asia Pacific (Malaysia) Region with DNS-over-HTTPS (DoH). Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) service. Amazon Route 53 Resolver endpoints make hybrid cloud configurations easier to manage by enabling seamless DNS query resolution across your entire hybrid cloud. Create Route 53 Resolver endpoints and conditional forwarding rules to allow resolution of DNS namespaces between your on-premises data center and Amazon Virtual Private Cloud (Amazon VPC). You can also opt-in to use DoH on the endpoints (both inbound and outbound) and create rules to forward DoH traffic to destinations of your choice, to ensure DNS traffic across your hybrid cloud is encrypted via DoH. Visit the AWS Region Table to see all AWS Regions where Amazon Route 53 Resolver is available. Please visit our product page to learn more about Amazon Route 53 Resolver and pricing. ?

AWS Identity and Access Management now supports AWS PrivateLink in all commercial Regions

Published Date: 2024-08-22 17:00:00

AWS Identity and Access Management (IAM) now supports AWS PrivateLink in all commercial AWS Regions. With IAM, you can specify who or what can access services and resources in AWS by creating and managing resources such as IAM roles and policies. You can now establish private connection between your virtual private cloud (VPC) and IAM to manage IAM resources, helping you meet your compliance and regulatory requirements to limit public internet connectivity. By using PrivateLink with IAM and with AWS Security Token Service (STS), which already supports PrivateLink, you can now manage your IAM resources such as IAM roles and request temporary credentials to access your AWS resources end to end without going through public internet. For more information about PrivateLink and IAM, please see the IAM User Guide. ?

Amazon EC2 C7i-flex instances are now available in US East (N. Virginia) Region

Published Date: 2024-08-22 17:00:00

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex instances that deliver up to 19% better price performance compared to C6i instances, are available in US East (N. Virginia) region. C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads. The new instances are powered by the 4th generation Intel Xeon Scalable custom processors (Sapphire Rapids) that are available only on AWS, and offer 5% lower prices compared to C7i. C7i-flex instances offer the most common sizes, from large to 8xlarge, and are a great first choice for applications that don't fully utilize all compute resources. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more. For compute-intensive workloads that need larger instance sizes (up to 192 vCPUs and 384 GiB memory) or continuous high CPU usage, you can leverage C7i instances. C7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Mumbai, Singapore, Sydney, Tokyo), and South America (S?o Paulo). To learn more, visit Amazon EC2 C7i-flex instances. ?

AWS Systems Manager for SAP console integration for application aware stop and start of SAP

Published Date: 2024-08-22 17:00:00

AWS Systems Manager for SAP now supports using SSM Application Manager console to register SAP ABAP applications running on single node EC2 instances. This launch will allow customers to onboard ABAP applications and also use Application Manager console to run application aware stop and start operations. AWS Systems Manager for SAP (SSMSAP) helps AWS services understand SAP specific nuances around landscape topology and discover the components of an SAP landscape, such as the SAP NetWeaver application server, SAP HANA database, and their interdependencies. It provides automation capabilities to help customers manage and operate their SAP applications on AWS more efficiently. This enables customers to capture specific metadata via registration and reflect system state before and after execution of workload automation. With this launch, customers can use AWS Systems Manager Application Manager to register their SAP ABAP applications (single node) using Application Manager console. Once registered, you can run application aware stop and start operations for SAP HANA, SAP ABAP, and underlying EC2 instances. AWS Systems Manager for SAP is available in all commercial regions. To learn about the key features, check out the product documentation page. To learn why thousands of SAP customers trust AWS, visit the SAP on AWS page. ?

AWS Lambda announces support for encryption of filter criteria for event source mappings

Published Date: 2024-08-21 21:10:00

AWS Lambda announces support for Amazon Key Management Service (KMS) Customer managed keys (CMK) for filter criteria used with event source mappings (ESMs) to filter records from a queue or stream before sending them to a Lambda function. This capability allows you to encrypt the data included under filter criteria using CMK, giving you fine-grained security control over the criteria used to filter your events. Customers building modern event-driven applications on AWS Lambda use event filter criteria to control which records from a stream or queue Lambda sends to their function. If a record from the event source satisfies one or more of the specified event filters, Lambda includes the record in the next event it sends to the function. With today’s announcement, you can encrypt the filter criteria using a Customer managed key (CMK), which gives you the control to meet your organizational security and compliance goals. This feature is generally available in all AWS Commercial Regions where AWS Lambda is available. You can encrypt filter criteria with Customer managed key (CMK) when you create or update an event source mapping, using AWS Lambda event source mapping API, AWS Management Console, AWS Command Line Interface (AWS CLI), AWS SDK, AWS CloudFormation, and AWS Serverless Application Model (AWS SAM). To learn more, read Lambda documentation and KMS documentation.

AWS Backup adds cross-Region, cross-account copy for SAP HANA on Amazon EC2

Published Date: 2024-08-21 19:10:00

AWS Backup now supports cross-Region and cross-account backup for SAP HANA on EC2, enabling customers to copy snapshot backups across Regions and accounts within their AWS Organizations. AWS Backup is a fully managed service that centralizes and automates data protection across AWS services and hybrid workloads. With this launch, AWS Backup customers can more easily meet business continuity, disaster recovery, and compliance requirements by storing additional SAP HANA snapshot copies in separate AWS Regions and accounts. Get started with cross-Region and cross-account backup for SAP HANA using the AWS Backup console, API, or CLI. You can define cross-Region and/or cross-account copies as part of your scheduled backup plan or perform a manual, on-demand copy. You can restore copied snapshots or create cross-Region, cross-account copies as needed, reducing the risk of downtime and ensuring disaster recovery and business continuity requirements are met. Snapshot copies provide you with an additional layer of protection should the source account experience disruption from accidental or malicious deletion, disaster, or ransomware. AWS Backup supports cross-Region backup and cross-account backup for SAP HANA on EC2 in AWS Regions where AWS Backup is offered with the exception of Asia Pacific (Hyderabad, Jakarta), Europe (Spain, Zurich), and Middle East (UAE) Regions. To learn more about AWS Backup support for cross-Region and cross-account backups for SAP HANA on EC2, visit the AWS Backup product page and documentation.

Amazon EventBridge Scheduler now provides higher default service quotas

Published Date: 2024-08-21 17:00:00

Amazon EventBridge Scheduler, a serverless scheduler that allows you to create, trigger, and manage millions of scheduled events and tasks, now has higher default service quotas. The default service quota for number of schedules is now 10 million schedules instead of 1 million in all regions, and the invocation throughput quota is now 1000 invocations per second instead of 500 in most regions. Default API request rate quotas for CreateSchedule, DeleteSchedule, GetSchedule, and UpdateSchedule are now set up to 1000 requests per second instead of 50 in most regions. Quotas can be further increased by making a request through the Service Quotas console. EventBridge Scheduler allows you to create millions of scheduled events and tasks, to run across more than 270 AWS services, without provisioning or managing the underlying infrastructure. EventBridge Scheduler supports one time and recurring schedules that can be created using cron expressions, rate expressions, or specific times with support for time zones and daylight savings. With today’s increase to default quotas, you can use Scheduler for even higher volume workloads without having to request a quota increase, making it easier to run your applications at scale. Scheduler will scale to the new quotas automatically. You can request increases beyond the new default service quotas in the Service Quotas console. View EventBridge Scheduler service quotas for each region in the service endpoints and quotas documentation or learn more about the EventBridge Scheduler service in the EventBridge Scheduler documentation. ?

Amazon Bedrock offers select FMs for batch inference at 50% of on-demand inference price

Published Date: 2024-08-21 17:00:00

Last year, we introduced support for batch inference in preview, allowing you to process prompts in batch to get responses for model evaluation, experimentation, and offline processing. Beginning today, Amazon Bedrock supports batch inference in general availability in all supported AWS regions for supported models. Use batch inference to run multiple inference requests asynchronously, and improve the performance of model inference on large datasets. Amazon Bedrock offers select foundation models (FMs) from leading AI providers like Anthropic, Meta, Mistral AI, and Amazon for batch inference at 50% of on-demand inference pricing. Completion time of batch inference depends on various factors like the size of the job, but you can expect completion timeframe of a typical job within 24 hours. You can learn more in our batch inference documentation and you can also reference our API reference documentation. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. To more information about Amazon Bedrock, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.

AWS announces new AWS Direct Connect location and expansion in Kuala Lumpur, Malaysia

Published Date: 2024-08-21 17:00:00

Today, AWS announced the opening of a new AWS Direct Connect location within the CSF Telcohub 1 Data Center near Kuala Lumpur, Malaysia. By connecting your network to AWS at the new Kuala Lumpur location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the second AWS Direct Connect location within Malaysia. The new Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available. AWS also announced the addition of 10Gbps and 100Gbps MACsec services in the existing Kuala Lumpur Direct Connect location at the Menara AIMS data center. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 145 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect. ?

Amazon S3 adds additional context to HTTP 403 Access Denied error messages

Published Date: 2024-08-21 17:00:00

Amazon S3 now includes additional context in HTTP 403 Access Denied errors for requests made to resources within the same AWS account. This new context includes the type of policy that denied access, the reason for denial, and information on the AWS IAM user or role that requested access to the resource. This context helps you to troubleshoot access issues, identify the root cause of access denied errors, and fix incorrect access controls by updating the relevant policies. This additional context is also available in AWS CloudTrail logs. Enhanced access denied error messages are rolling out in the coming weeks in all AWS Regions, including the AWS GovCloud (US) Regions and the AWS China Regions. To learn more about how to troubleshoot Access Denied errors in Amazon S3, visit the S3 User Guide and the AWS IAM troubleshooting documentation.

AWS CloudHSM launches new hsm2m.medium instance type

Published Date: 2024-08-20 21:30:00

AWS CloudHSM launched hsm2m.medium with support for Federal Information Processing Standard (FIPS) 140-3 Level 3 and non-FIPS CloudHSM clusters. The new instance type provides customers with new features, increased performance, and flexibility. hsm2m.medium offers increased key capacity and higher elliptic curve performance compared with the existing hsm1.medium instance type. Backups from CloudHSM clusters based on hsm1.medium are compatible with hsm2m.medium. hsm2m.medium supports Mutual Transport Layer Security (mTLS) for communication from the CloudHSM client SDKs to the CloudHSM cluster. The new hsm2m.medium instance type is available in four regions - United States (N. Virginia, Ohio, Oregon) and Europe (Dublin). To learn more about the AWS CloudHSM cluster modes and HSM types, see the AWS CloudHSM user guide, and visit the AWS CloudHSM page for pricing details. For availability in additional regions, contact support.

Amazon SageMaker Canvas now supports data flows import, and faster data prep for ML

Published Date: 2024-08-20 17:40:00

Amazon SageMaker Data Wrangler in Amazon SageMaker Canvas now supports importing data flows from Amazon SageMaker Studio Classic, as well as faster and more flexible data preparation for machine learning (ML). With the latest version of SageMaker Data Wrangler in SageMaker Canvas, you can now import data from S3 more easily with custom delimiters and more sampling options, and prepare data with improved performance. In addition, you can validate transforms faster, and easily iterate on the data recipes. You can also import data flows from SageMaker Studio Classic to take advantage of the latest data preparation features and enhancements in SageMaker Canvas. Aggregating, analyzing, and transforming large amounts of data is the most time-consuming part of an ML project because it is a highly iterative and repetitive process. With these new enhancements, you can import data with different sampling methods such as top-k, random or stratified, and adjust the sample size and method as needed to get a representative sample. You can transform data with lower latency, quickly validate the impact of transforms on the data size, and reorder the steps as needed. In addition, you can copy a data recipe and replace the data sources to reuse it for different datasets and models. Last but not least, you can one-click import all the existing data flows from SageMaker Data Wrangler in SageMaker Studio Classic to SageMaker Canvas, or manually import specific data flows through S3 or local file uploads. These enhanced data preparation capabilities are available all AWS regions where SageMaker Canvas is supported. For more information, see the blog and the AWS technical documentation.

AWS Lambda now supports function-level configuration for recursive loop detection

Published Date: 2024-08-20 17:00:00

AWS Lambda now supports function-level configuration which allows you to disable or enable recursive loop detection. Lambda recursive loop detection, which is enabled by default, is a preventative guardrail that automatically detects and stops recursive invocations between Lambda and other supported services, preventing runaway workloads. Before, customers running intentionally recursive patterns could only turn off recursive loop detection on a per-account basis through AWS Support. Now customers can disable or enable recursive loop detection on a per-function basis, allowing them to run their intentionally recursive workflows while protecting the remaining functions in their account from runaway workloads caused by unintended recursive invocations. These new API actions are available in all AWS Regions where recursive loop detection is supported. You can set your function’s recursion configuration programmatically, as a parameter in your CloudFormation template, or within the AWS Lambda Console. To learn more about Lambda’s new recursive loop detection API actions, please refer to Lambda’s API reference or the launch blog post. ?

Amazon Connect in-app, web, and video calling is now available in Africa (Cape Town) region

Published Date: 2024-08-20 17:00:00

Amazon Connect now provides in-app and web voice and video calling capabilities in Africa (Cape Town) region, making it easier to deliver more personalized voice and video experiences in your websites and mobile applications. These voice and video capabilities allow customers to contact you without having to leave your website or mobile application. You can use these capabilities to pass contextual information to Amazon Connect, enabling you to personalize the customer experience based on attributes such as the customer’s profile, authentication status, or actions previously taken within the app. Using the fully managed communication widget, you can implement these new voice and video calling capabilities with as little as a single line of code. You can also create a fully custom experience for your customers by leveraging the SDK. In addition, you can use the same configuration, routing, analytics, and agent application as with telephone calls and chats, helping saving costly integration time, license fees, and maintenance expenses. To learn more and get started, please refer to the help documentation or visit the Amazon Connect website. To learn more about pricing, please visit the Amazon Connect pricing page. ?

Amazon S3 now supports conditional writes

Published Date: 2024-08-20 17:00:00

Amazon S3 adds support for conditional writes that can check for the existence of an object before creating it. This capability can help you more easily prevent applications from overwriting any existing objects when uploading data. You can perform conditional writes using PutObject or CompleteMultipartUpload API requests in both general purpose and directory buckets. Using conditional writes, you can simplify how distributed applications with multiple clients concurrently update data in parallel across shared datasets. Each client can conditionally write objects, making sure that it does not overwrite any objects already written by another client. This means you no longer need to build any client-side consensus mechanisms to coordinate updates or use additional API requests to check for the presence of an object before uploading data. Instead, you can reliably offload such validations to S3, enabling better performance and efficiency for large-scale analytics, distributed machine learning, and other highly parallelized workloads. To use conditional writes, you can add the HTTP if-none-match conditional header along with PutObject and CompleteMultipartUpload API requests. This feature is available at no additional charge in all AWS Regions, including the AWS GovCloud (US) Regions and the AWS China Regions. You can use the AWS SDK, API, or CLI to perform conditional writes. To learn more about conditional writes, visit the S3 User Guide. ?

AWS CodeBuild now supports Mac builds

Published Date: 2024-08-19 21:30:00

Starting today, you can build applications on macOS with AWS CodeBuild. You can build artifacts on managed Apple M2 instances that run on macOS 14 Sonoma. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages. Building, testing, signing, and distributing applications for Apple systems (iOS, iPadOS, watchOS, tvOS, and macOS) requires the use of Xcode which runs exclusively on macOS. You can provision a fleet of managed CodeBuild Mac instances which offer native integration with AWS, including Amazon VPC, AWS Secrets Manager, and IAM. You can use CodeBuild’s prepackaged build environment with common tools and frameworks, or you can bring your own Amazon EC2 AMI to provision the Mac instances in your fleet. Mac builds are available in US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Sydney). For a full list of AWS Regions where AWS CodeBuild is available, please visit our region table. To get started setup a reserved capacity macOS fleet, and see CodeBuild’s blog post for creating a project to run builds on your fleet.

Amazon S3 no longer charges for several HTTP error codes

Published Date: 2024-08-19 21:00:00

Amazon S3 has completed a change so unauthorized requests that customers did not initiate are free of charge. With this change, bucket owners will never incur request or bandwidth charges for requests that return an HTTP 403 (Access Denied) error response if initiated from outside their individual AWS account or AWS Organization. To see the full list of error codes that are free of charge, visit Billing for Amazon S3 error responses. This billing change requires no changes to customer applications and applies to all S3 buckets. This change was first announced on May 13, 2024, and was applied to most S3 APIs within several weeks. Now, this change is effective across all S3 APIs in all AWS Regions, including the AWS GovCloud (US) Regions and AWS China Regions. To learn more, visit Billing for Amazon S3 error responses and Error Responses in the S3 User Guide. ?

Introducing browser-based SSH/RDP support for IPv6-only instances bundles on Lightsail

Published Date: 2024-08-19 20:30:00

Amazon Lightsail now extends support for browser-based SSH/RDP connections, also known as Lightsail Connect, to IPv6-only instances. Now, you can connect to your Linux or Windows IPv6-only instance directly from Lightsail Console in browser. Previously, you would need to add a public IPv4 address to your IPv6-only instance to use Lightsail Connect. With the launch of IPv6 support, you can use Lightsail’s browser-based client that provides a quick and convenient way to connect to your instance and does not require any software installation. You can use this feature on the Lightsail Console (accessed from AWS Console) in all AWS Regions supporting Lightsail. To learn more about connecting to your instance from the Lightsail console, please refer to documentation.

Amazon EMR support prioritized and capacity-optimized-prioritized allocation strategies for EC2 instances

Published Date: 2024-08-19 17:00:00

We are excited to announce that Amazon EMR on EC2 now supports two new allocation strategies for Instance Fleets - prioritized for On-Demand instances and capacity-optimized-prioritized for Spot instances. Allocation strategies let you determine how EMR selects from your list of specified instance types and Availability Zones to fulfill your desired capacity. These new strategies give you more control and flexibility when provisioning instances for your EMR workloads. With today’s launch, you can use a prioritized list to determine the order in which EMR should attempt to provision your compute capacity. This new feature allows you to specify a priority for each instance type in your instance fleet configuration. For On-Demand instances, EMR will first attempt to fulfill capacity using the highest priority instance type. If EMR cannot fulfill the entire capacity using that instance type, it will then launch instances with the next highest priority, and so on. For Spot instances, EMR will optimize for capacity first, but will honor instance type priorities on a best-effort basis. This is great for workloads where the possibility of disruption must be minimized, but preferences for certain instance types matter. This feature is available for all EMR 5.x and later releases (excluding 5.0.0 and 5.0.3) in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon EMR on EC2 is available. Customers can easily configure these strategies through the EMR API, CLI, SDK, console, and CloudFormation. Review our allocation strategy for instance fleet documentation to learn more. ?

Amazon SageMaker Pipelines now provides a drag-and-drop UI to easily create ML workflows

Published Date: 2024-08-19 17:00:00

Today, we are excited to announce the general availability of a drag-and-drop user interface (UI) for Amazon SageMaker Pipelines. Data scientists and Machine Learning (ML) engineers can now quickly create an end-to-end AI/ML workflow to train, fine-tune, evaluate, and deploy models without writing code. Customers use Amazon SageMaker Pipelines to automate thousands of ML workflows, such as continuous fine-tuning or experimentation of foundation models that power Generative AI workloads. With this launch, data scientists and ML engineers can accelerate the journey of such ML workflows from prototype to production because they don’t need to write code to author and configure Amazon SageMaker Pipelines. They can simply drag and drop various steps (e.g. Notebook Jobs, LLM fine-tuning jobs, inference endpoints) and connect them together in the UI to compose an ML workflow. Users who have already created a pipeline using the Amazon SageMaker Python SDK can now edit it within the UI.. This Amazon SageMaker Pipelines capability enables users to rapidly iterate on ML workflows and execute them at scale in production tens of thousands of times. Data scientists and ML engineers can also monitor and debug all the ML jobs orchestrated via the workflows within the same UI. The drag-and-drop UI for Amazon SageMaker Pipelines is available in all regions where Amazon SageMaker is available except China Regions and GovCloud (US) Regions. To get started, refer to Amazon SageMaker Pipelines developer guide. ?