11/1/2024, 12:00:00 AM ~ 11/4/2024, 12:00:00 AM (UTC)

Recent Announcements

Amazon Connect launches support for callbacks when using Chats and Tasks

Amazon Connect now enables you to request callbacks from Chats and Tasks in addition to voice calls. For example, if a customer reaches out after hours when no agent is available, they can request a callback by sending a chat message or completing a webform request (via Tasks). Callbacks allow end-customers to get a call from an available agent during normal business hours, without requiring them to stay on the line.\n This feature is supported in all AWS regions where Amazon Connect is offered. To learn more, see our documentation. To learn more about Amazon Connect, the easy-to-use cloud contact center, visit the Amazon Connect website.

Amazon SageMaker Notebook Instances now support JupyterLab 4 notebooks

We’re excited to announce the availability of JupyterLab 4 on Amazon SageMaker Notebook Instances, providing you with a powerful and modern interactive development environment (IDE) for your data science and machine learning (ML) workflows.\n With this update, you can now leverage the latest features and improvements in JupyterLab 4, including faster performance and notebook windowing, making working with large notebooks much more efficient. The Extension Manager now includes both prebuilt Python extensions and extensions from PyPI, making it easier to discover and install the tools you need. The Search and Replace functionality has been improved with new features, including highlighting matches in rendered Markdown cells, searching in the current selection, and regular expression support for replacements. By providing JupyterLab 4 on Amazon SageMaker Notebook Instances, we’re empowering you with a cutting-edge development environment to boost your productivity and efficiency when building ML models and exploring data. JupyterLab 4 notebooks are available in all commercial AWS regions where SageMaker Notebook Instance is available. Visit developer guides for instructions on setting up and using SageMaker notebook instances.

Amazon Bedrock announces support for cost allocation tags on inference profiles

Amazon Bedrock now enables customers to allocate and track on-demand foundation model usage. Customers can categorize their GenAI inference costs by department, team, or application using AWS cost allocation tags. You can leverage this feature by creating an application inference profile and tagging it.\n Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies 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 capabilities 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. For more information about Amazon Bedrock, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details. For more information about the AWS Regions where application inference profiles are available, see this page.

Amazon WorkSpaces WSP enables desktop traffic over TCP/UDP port 443

Amazon WorkSpaces Amazon DCV-enabled desktop traffic now supports both TCP and UDP over Port 443. This feature will be used automatically, requiring no configuration changes. Customers using port 4195 can continue to do so. The WorkSpaces client application prioritizes UDP (QUIC) for optimal performance, but will fallback to TCP if UDP is blocked. The WorkSpaces web client will connect over either TCP Port 4195 or 443. If Port 4195 is blocked, the client will exclusively use port 443.\n Organizations managing WorkSpaces may not be the same as the organization managing the client networks where users will connect to WorkSpaces. Each network is managed independently, creating administration challenges, delays, or roadblocks to change outbound access rules. By opening WorkSpaces DCV desktop traffic over TCP/UDP Port 443 with support for fallback to TCP if UDP is not available, customers no longer need to open TCP/UDP 4195 unique ports. WorkSpaces DCV enabled desktop traffic over TCP/UDP Port 443 support is available in all AWS Regions where Amazon WorkSpaces is available. There is no additional charge for this feature. Please see the Amazon WorkSpaces Administration Guide for more information.

AWS Incident Detection and Response now available in 16 additional AWS regions

Starting today, AWS Incident Detection and Response is now available in 16 additional AWS regions. This service provides AWS Enterprise Support customers with proactive engagement and incident management, aimed at minimizing the risk of failures and accelerating the recovery of your critical workloads. AWS experts will assess your workloads for resilience, observability, and create customized runbooks for incident management. AWS Incident Management Engineers (IMEs) are on call 24/7 to detect incidents and engage you within 5 minutes of an alarm to offer guidance for mitigation and recovery.\n With this release, AWS Incident Detection and Response is now available in the following AWS regions: Africa (Capetown), Asia Pacific (Seoul), Asia Pacific (Osaka), Middle East (Bahrain), Asia Pacific (Hong Kong), Middle East (UAE), Asia Pacific (Jakarta), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), EU (Zurich), Europe (Spain), Canada West (Calgary), Israel (Tel Aviv), EU (Milan), North America (Calgary), Asia Pacific (Malaysia). Visit the eligible AWS regions to see the full list of all supported regions. Visit the AWS Incident Detection and Response product page to get started.

AWS announces new edge location in Qatar

Amazon Web Services (AWS) announces expansion in Qatar by launching a new Amazon CloudFront edge location in Doha, Qatar. The new AWS edge location brings the full suite of benefits provided by Amazon CloudFront, a secure, highly distributed, and scalable content delivery network (CDN) that delivers static and dynamic content, APIs, and live and on-demand video with low latency and high performance.\n All Amazon CloudFront edge locations are protected against infrastructure-level DDoS threats with AWS Shield that uses always-on network flow monitoring and in-line mitigation to minimize application latency and downtime. You also have the ability to add additional layers of security for applications to protect them against common web exploits and bot attacks by enabling AWS Web Application Firewall (WAF). Traffic delivered from this edge location is included within the Middle East region pricing. To learn more about AWS edge locations, see CloudFront edge locations.

AWS Partner Central now supports dedicated Slack channels for collaboration on co-selling opportunities

AWS Partners can now request dedicated Slack channels through AWS Partner Central to collaborate with AWS sales teams on ACE co-selling opportunities. This feature helps simplify communication, ensuring all members stay updated on deal progression, enabling better collaboration and more efficient deal closure for strategic customer engagements.\n Partners can request a Slack channel for an eligible open opportunity in the Collaboration Channels tab within the ACE Pipeline Manager in AWS Partner Central. The AWS sales team will receive notifications for collaboration requests through the AWS Secure Connect Slack application, allowing them to create dedicated Slack channels. Individuals from AWS and Partner opportunity teams, including account managers, solution architects, and success managers, can then engage directly through the channels for associated opportunities. These Slack channels include enhanced security controls to ensure only the designated opportunity team participates, helping to safeguard confidentiality. Each channel is also integrated with AWS Partner Central, delivering real-time updates on deal progress—such as stage changes and next steps—all within Slack. This new feature builds on the Slack Connect capability made available earlier this year.

This feature is available globally to ACE-eligible AWS Partners working on high-value deals, excluding deals related to national security or customers in the Greater China Region.

Log in to AWS Partner Central today to request Slack channels directly through the ACE Pipeline Manager in Partner Central and start collaborating, or ask your AWS sales contacts to create a channel.

Amazon RDS announces cross-region automated backups in Asia Pacific (Hyderabad) and Africa (Cape Town)

Cross-Region Automated Backup replication for Amazon RDS is now available in Asia Pacific (Hyderabad) and Africa (Cape Town) Regions. This launch allows you to setup automated backup replication between Asia Pacific (Hyderabad) and Asia Pacific (Mumbai); and between Africa (Cape Town) and Europe (Ireland), Europe (London), or Europe (Frankfurt) Regions.\n Automated Backups enable recovery capability for mission-critical databases by providing you the ability to restore your database to a specific point in time within your backup retention period. With Cross-Region Automated Backup replication, RDS will replicate snapshots and transaction logs to the chosen destination AWS Region. In the event that your primary AWS Region becomes unavailable, you can restore the automated backup to a point in time in the secondary AWS Region and quickly resume operations. As transaction logs are uploaded to the target AWS Region frequently, you can achieve a Recovery Point Objective (RPO) of within the last few minutes. You can setup Cross-Region Automated Backup replication with just a few clicks on the Amazon RDS Management Console or using the AWS SDK or CLI. Cross-Region Automated Backup replication is available on Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon RDS for Oracle, and Amazon RDS for Microsoft SQL Server. For more information, including instructions on getting started, read the Amazon RDS documentation.

Amazon RDS Performance Insights now supports Data API for Aurora MySQL

Amazon RDS (Relational Database Service) Performance Insights now allows customers to monitor queries run through the RDS Data API for Aurora MySQL clusters. The RDS Data API provides an HTTP endpoint to run SQL statements on an Amazon Aurora DB cluster.\n With this launch, customers are now able to use Performance Insights to monitor the impact of the queries run through the RDS Data API on their database performance. Additionally, customers can identify these queries and their related statistics by slicing the database load metric using the host name dimension, and filtering for ‘RDS Data API’. Amazon RDS Performance Insights is a database performance tuning and monitoring feature of RDS that allows you to visually assess the load on your database and determine when and where to take action. With one click in the Amazon RDS Management Console, you can add a fully-managed performance monitoring solution to your Amazon RDS database. To learn more about RDS Performance Insights, read the Amazon RDS User Guide and visit Performance Insights pricing for pricing details and region availability.

AWS announces CSV result format support for Amazon Redshift Data API

Amazon Redshift Data API enables you to access data efficiently from Amazon Redshift data warehouses by eliminating the need to manage database drivers, connections, network configurations, data buffering, and more. Data API now supports comma seperated values (CSV) result format which provides flexibility in how you access and process data, allowing you to choose between JSON and CSV formats based on your application needs.\n With CSV result format, you can now specify whether you want your query results formatted as JSON or CSV through the –result-format parameter when calling ExecuteStatement and BatchExecuteStatement APIs. To retrieve CSV results, use the new GetStatementResultV2 API which supports CSV results, while GetStatementResult API continues to support only JSON. If not specified, the default format remains JSON. CSV support with Data API is now generally available for both Redshift Provisioned and Amazon Redshift Serverless data warehouses in all AWS commercial and the AWS GovCloud (US) Regions which support Data API. To get started and learn more, visit Amazon Redshift database developers guide.

Fine-tuning for Anthropic’s Claude 3 Haiku in Amazon Bedrock is now generally available

Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available. Amazon Bedrock is the only fully managed service that provides you with the ability to fine tune Claude models. Claude 3 Haiku is Anthropic’s most compact model, and is one of the most affordable and fastest options on the market for its intelligence category, according to Anthropic. By providing your own task-specific training dataset, you can fine tune and customize Claude 3 Haiku to boost model accuracy, quality, and consistency to further tailor generative AI for your business.\n Fine-tuning allows Claude 3 Haiku to excel in areas crucial to your business compared to more general models by encoding company and domain knowledge. By fine tuning Claude 3 Haiku within your secure AWS environment and adapting its knowledge to your exact business requirements, you can generate higher-quality results and create unique user experiences that reflect your company’s proprietary information, brand, products, and more. You can also enhance performance for domain-specific actions such as classification, interactions with custom APIs, or industry-specific data interpretation. Amazon Bedrock makes a separate copy of the base foundation model that is accessible only by you and trains this private copy of the model. Fine-tuning for Anthropic’s Claude 3 Haiku in Amazon Bedrock is now generally available in the US West (Oregon) AWS Region. To learn more, read the launch blog, technical blog, and documentation. To get started with Claude 3 in Amazon Bedrock, visit the Amazon Bedrock console.

Introducing Amazon EC2 M8g instances in Dallas Local Zone

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) M8g instances in Dallas Local Zone. These instances are powered by AWS Graviton4 processors and built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. 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).\n AWS Local Zones are a type of AWS infrastructure deployment that places 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, and AR/VR at the edge. To get started, you can enable AWS Dallas Local Zone us-east-1-dfw-2a, in the Amazon EC2 Console or the ModifyAvailabilityZoneGroup API, and deploy M8g instances. To learn more, visit AWS Local Zones overview page and see Amazon EC2 M8g instances.

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