5/30/2024, 12:00:00 AM ~ 5/31/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon QuickSight launches multi column sorting for Tables
Amazon QuickSight now supports the ability to sort by multiple columns in Tables. This allows both authors and readers to sort by two or more columns simultaneously in a nested fashion (e.g., first by column A, then B, then C) using the new sorting pop over. They can add, remove, reorder and reset sort on a table. Readers can also perform multi column sort using hidden and off visual field as defined by the author or opt for single column sort from column header context menu as well. For more details refer to documentation.
Amazon AppStream 2.0 announces support for real-time audio conferencing on multi-session fleets. Additionally, you can now launch multi-session fleets powered by Microsoft Windows Server 2022 operating system and take the advantage of latest operating systems features.\n Multi-session fleets enable IT admins to host multiple end-user sessions on a single AppStream 2.0 instance, helping customers to make better use of instance resources. By providing your users with access to streaming applications and audio conferencing, you can help improve team collaboration for remote workers. Your users don’t need to exit their AppStream 2.0 sessions to interact using well-known audio conferencing software. Before you set up your multi-session fleet for audio conferencing, read the multi-session recommendations. These recommendations will help you choose the appropriate instance type and value for the maximum number of user sessions on a single instance.
Powertools for AWS Lambda (Python) adds support for Agents for Amazon Bedrock
Powertools for AWS Lambda (Python), an open-source developer library, launched a new feature to ease the creation of Agents for Amazon Bedrock.\n With this release, Powertools for AWS Lambda (Python) handles the automatic generation of OpenAPI schemas directly from the business logic code, validates inputs and outputs according to that schema, and drastically reduces the boilerplate necessary to manage requests and responses from Agents for Amazon Bedrock. By abstracting away the complexities, Powertools for AWS Lambda (Python) allows developers to focus their time and efforts directly on writing business logic, thereby boosting productivity and accelerating development velocity.
Introducing versioning for AWS WAF Bot & Fraud Control managed rule groups
AWS WAF now allows you to select specific versions of Bot Control and Fraud Control managed rule groups within your web ACLs. This provides greater control over managing traffic when AWS makes new managed rule groups updates available to you.\n With versioning, you gain the flexibility to test new and updated bot and fraud rules before deploying them to production. For example, you can apply a new version of a managed rule group to a staging environment to validate efficacy. You can then incrementally roll out the version across production to closely monitor impact before fully enabling it. If a new version inadvertently causes issues, you can swiftly roll back to the previous version to instantly restore original behavior. With this launch, you will be configured to use the default version (v1.0) of Bot Control and Fraud Control managed rules groups, and you will continue to receive periodic AWS updates. If you do not want to receive updates automatically, you can select a specific version and you will remain on that version you selected until you manually update or till it reaches end of life. For more information and best practices about version management, see documentation.
Amazon Bedrock announces new Converse API
Today, Amazon Bedrock announces the new Converse API, which provides developers a consistent way to invoke Amazon Bedrock models removing the complexity to adjust for model-specific differences such as inference parameters. This API also simplifies managing multi-turn conversations by enabling developers to provide conversational history in a structured way as part of the API request. Furthermore, Converse API supports Tool use (function calling), which for supported models (Anthropic’s Claude 3 model family including Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku; Mistral Large; and Cohere’s Command R and R+), will enable developers to perform a wide variety of tasks that require access to external tools and APIs.\n The Converse API provides a consistent experience that works with Amazon Bedrock models, removing the need for developers to manage any model-specific implementation. With this API, you can write a code once and use it seamlessly with different models on Amazon Bedrock.
Amazon Cognito user pools now support the ability to customize access tokens
In December 2023, Amazon Cognito user pools announced the ability to enrich identity and access tokens with custom attributes in the form of OAuth 2.0 scopes and claims. Today, we are expanding this functionality to support complex custom attributes such as arrays, maps and JSON objects in both identity and access tokens. You can now make fine-grained authorization decisions using complex custom attributes in the token. This feature enables you to offer enhanced personalization and increased access control. You can also simplify migration and modernization of your applications to use Amazon Cognito with minimal or no changes to your applications.\n Amazon Cognito is a service that makes it simpler to add authentication, authorization, and user management to your web and mobile apps. Amazon Cognito provides authentication for applications with millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect. Access token customization is available as part of Cognito advanced security features in all AWS Regions, except AWS GovCloud (US) Regions. To get started, see the following resources:
User pool pre-token generation Lambda trigger
Amazon Cognito advanced security features pricing
AWS AppSync now supports long running events with asynchronous Lambda function invocations
AWS AppSync now allows customers to invoke their Lambda functions, configured as AppSync data sources, in an event-driven manner. This new capability enables asynchronous execution of Lambda functions, providing more flexibility and scalability for serverless and event-driven applications.\n Previously, customers could only invoke Lambda functions synchronously from AppSync, which meant that the GraphQL API would wait for the Lambda function to complete before returning a response. With support for Event mode, AppSync can now trigger Lambda functions asynchronously, decoupling the API response from the Lambda execution. This is particularly beneficial for long-running operations (e.g. initiating a generative AI model inference, and leveraging the Lambda function to send model responses to clients over AppSync WebSockets), batch processing (e.g. kicking off a database processing job), or scenarios where immediate responses are not required (e.g. creating and putting messages in a queue). This feature is available in all AWS regions supported by AppSync. For more details, refer to the AppSync documentation.
Amazon Redshift Serverless is now available in Region Europe (Zurich) and Europe (Spain)
Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in AWS Europe (Zurich) and Europe (Spain) regions. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications.\n With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs.
Amazon EventBridge Scheduler adds new API request metrics for improved observability
Amazon EventBridge Scheduler now emits 12 new Amazon CloudWatch metrics allowing you to monitor API request rates for create, delete, get, list, and update API calls for Schedules and ScheduleGroups. You can now more effectively monitor your application’s performance when making calls to Scheduler’s APIs and proactively identify when you may need to increase your Scheduler service quotas.\n 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. Today’s expansion of Scheduler usage metrics helps you pinpoint potential bottlenecks before they appear, allowing for easy scaling of your applications.
Amazon QuickSight is now available in Milan, Zurich, Cape Town and Jakarta Regions
Amazon QuickSight, which lets you easily create and publish interactive dashboards across your organization and embed data visualizations into your apps, is now available in Milan, Zurich, Cape Town and Jakarta Regions. New accounts are able to sign up for QuickSight with Milan, Zurich, Cape Town or Jakarta as their primary region, making SPICE capacity available in the region and ensuring proximity to AWS and on-premises data sources. Users on existing QuickSight accounts can now switch regions with the region switcher and create SPICE datasets in the new regions.\n With this launch, QuickSight expands to Africa for the first time and is now available in all continents with 21 regions, including: US East (Ohio and N. Virginia), US West (Oregon), Europe (Stockholm, Paris, Frankfurt, Ireland, London, Milan and Zurich), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Tokyo and Jakarta), Canada (Central), South America (São Paulo), Africa (Cape Town) and GovCloud (US-West). Learn more about available regions here.
AWS Blogs
AWS Japan Blog (Japanese)
- [Contribution] Mitsui & Co., Ltd.’s efforts to fully automate bid analysis
- Amazon EC2 high-memory U7i instances for large in-memory databases
- Introducing the AWS-generated AI case “Early Development of Advanced Question Search Functions Using Amazon Bedrock and Amazon OpenSearch Service” by Konecht Co., Ltd.
AWS Open Source Blog
AWS Architecture Blog
AWS Big Data Blog
AWS DevOps Blog
AWS for Industries
AWS Machine Learning Blog
- CBRE and AWS perform natural language queries of structured data using Amazon Bedrock
- Dynamic video content moderation and policy evaluation using AWS generative AI services
- Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot