10/18/2024, 12:00:00 AM ~ 10/21/2024, 12:00:00 AM (UTC)
Recent Announcements
AWS Marketplace now supports notifications for private marketplace
Today, AWS Marketplace announces the general availability of private marketplace notifications, a new feature that streamlines the product request approval process for private marketplace customers. Using private marketplace, administrators can create customized catalogs of approved products from AWS Marketplace to enable their organization’s AWS accounts to purchase the preselected and vetted software. This capability enables administrators and users to receive real-time notifications when a new product request is created in their private marketplace and when a request is approved or denied, simplifying the product request review and approval workflow.\n With private marketplace notifications, administrators and users can now receive Amazon EventBridge events when a user requests a product, and when a request is approved or declined. Customers can configure email notifications for these events using AWS User Notifications console and also leverage the product request events to initiate actions like approval workflows within procurement tools. This improved notification experience simplifies the product request approval process and ensures timely updates for all stakeholders, resulting in expedited approval and procurement in AWS Marketplace. To learn more about private marketplace notifications, visit AWS Private Marketplace Documentation. To get started setting up the private marketplace user notifications, go to AWS User Notifications.
Amazon DataZone introduces new designations in projects for members to perform specific tasks
Amazon DataZone launches new project designations allowing customers to configure project members to do specific tasks while collaborating with other members in a project. Amazon DataZone is a data management service for customers to catalog, discover, share, and govern data at scale across organizational boundaries with governance and access controls.\n With the new designations in Amazon DataZone projects, team members can collaborate in a project while performing specific tasks as defined by the designation they are assigned to by the project owners. With this launch, members in a project can be a consumer, a steward, or a viewer. Based on the designation assigned, the member can browse and subscribe to assets in Amazon DataZone’s catalog as a consumer, approve and reject subscription requests to assets in the owning project as a steward, or just browse and view assets subscribed in the project they are part of as a viewer. With these defined activities for members in a project, Amazon DataZone establishes governance controls for members in a project while encouraging collaboration. Support for Amazon DataZone’s fine-grained project roles is available in all AWS Regions where Amazon DataZone is available. To learn more, visit Amazon DataZone and get started using the guide in documentation.
MemoryDB is now available in the AWS GovCloud (US) Regions
Today, AWS announces the availability of Amazon MemoryDB in the AWS GovCloud (US) Regions. Amazon MemoryDB is a fully managed, Valkey and Redis OSS-compatible database for in-memory performance and multi-AZ durability. Customers in GovCloud regions can now use MemoryDB as a primary database for use cases that require ultra-fast performance and durable storage, such as payment card analytics, message streaming between microservices, and IoT events processing. With Amazon MemoryDB, all of your data is stored in memory, which enables you to achieve microsecond read and single-digit millisecond write latency and high throughput. Amazon MemoryDB also stores data durably across multiple Availability Zones (AZs) using a Multi-AZ transactional log to enable fast failover, database recovery, and node restarts. Delivering both in-memory performance and Multi-AZ durability, Amazon MemoryDB can be used as a high-performance primary database for your microservices applications eliminating the need to separately manage both a cache and durable database.\n To get started, you can create an Amazon MemoryDB cluster in minutes through the AWS Management Console, AWS Command Line Interface (CLI), or AWS Software Development Kit (SDK). To learn more, visit the Amazon MemoryDB product page or documentation.
Amazon QuickSight expands integration with Amazon EventBridge
Amazon QuickSight now supports more events using Amazon EventBridge as an update to previously launched integration with Amazon EventBridge. By subscribing to QuickSight events in EventBridge, you can automate your workflows such as continuous deployment, and backups. These events are delivered to EventBridge in near real time. Developers can write simple rules to indicate which events are of interest to them, and what actions to take when an event matches a rule. To see the full list of supported events click here.\n The QuickSight integration with EventBridge is available with the Amazon QuickSight Enterprise Edition in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), China (Beijing) Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo) and AWS GovCloud (US-West).
Amazon Bedrock Model Evaluation now supports evaluating custom model import models
Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined algorithms for metrics such as accuracy, robustness, and toxicity. Additionally, for those metrics or subjective and custom metrics, such as friendliness, style, and alignment to brand voice, you can set up a human evaluation workflow with a few clicks. Human evaluation workflows can leverage your own employees or an AWS-managed team as reviewers. Model evaluation provides built-in curated datasets or you can bring your own datasets.\n Now, customers can evaluate their own models they imported to Amazon Bedrock through the Custom Model Import feature. This allows customers to complete the cycle of selecting a base model, customizing it, evaluating it, and customizing it again if needed or continuing to production if they are satisfied with its evaluation outcome. To evaluate an imported model, simply select the custom model from the list of models to evaluate in the model selector tool when creating an evaluation job. Model Evaluation on Amazon Bedrock is now Generally Available in these commercial regions and the AWS GovCloud (US-West) Region. To learn more about Model Evaluation on Amazon Bedrock, see the Amazon Bedrock developer experience web page. To get started, sign in to Amazon Bedrock on the AWS Management Console or use the Amazon Bedrock APIs.
QuickSight Reporting now supports triggering scheduled reports via API
QuickSight Reporting has expanded its event driven reporting capabilities by adding the ability to distribute pixel-perfect reports and dashboard reports via emails using APIs. Using the AWS SDK, developers can invoke StartDashboardSnapshotJobSchedule API to run the report, which will follow the configured scheduled report settings, including export type (PDF, CSV, Excel etc.) and email set up (subject line, body text, and attachment setting). The developer needs to obtain the schedule ID of an existing report schedule in QuickSight console and provide it as an input to the API.\n Within the QuickSight console, running an email report on demand was already possible through the Run now option, but that required customers to be logged into QuickSight. With this launch, developers can set up automated workflows to listen for QuickSight events, such as dataset refresh events or signals specific to their business (outside of QuickSight), and then start a report schedule programmatically to deliver to pre-selected readers. Triggering email report schedule via API is now available in all supported Amazon QuickSight regions - see here for QuickSight regional endpoints. For more on how to set up this setting, go to our documentation.
Amazon QuickSight now supports programmatic export and import of shared folders
Amazon QuickSight now supports programmatic export and import of shared folders as an update to previously launched StartAssetBundleExportJob and StartAssetBundleImportJob APIs. This enables you to backup and restore, continuously replicate and migrate QuickSight folders along with its member assets and sub folders. With the earlier version of these APIs, you had to managed folders deployment separately. To learn more, click here.\n The QuickSight export and import of shared folders is available with the Amazon QuickSight Enterprise Edition in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), China (Beijing) Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo) and AWS GovCloud (US-West).
AWS Data Exchange now provides APIs for data grants, enabling programmatic data sharing
Today, AWS announces the availability of APIs for data grants in AWS Data Exchange, a set of common application programming interfaces (APIs) that allow you to programmatically grant time-bound, read-only data access to any other AWS account. Now, you can automate the secure exchange of data across AWS accounts using APIs.\n As a data host on AWS, you can programmatically create data grants to share with any other AWS account, with either a predefined duration for the data grant to remain live, or set to run in perpetuity. The recipient can then accept the data grant through APIs and access the read-only data. Data grants work with all five AWS Data Exchange supported delivery types: Data Files, Amazon S3, Amazon Redshift, AWS Lake Formation (Preview), and Amazon API Gateway. APIs for data grants in AWS Data Exchange are available in all AWS Regions where AWS Data Exchange is available. To learn more about APIs for data grants in AWS Data Exchange, visit the AWS Data Exchange API Reference. For an overview of AWS Data Exchange, visit the AWS Data Exchange User Guide.
Amazon EC2 High Memory instances now available in Africa (Cape Town) region
Starting today, Amazon EC2 High Memory instances with 6TB of memory (u-6tb1.56xlarge and u-6tb1.112xlarge) are available in the Africa (Cape Town) region. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options.\n Amazon EC2 High Memory instances are certified by SAP for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, and SAP BW/4HANA in production environments. For details, see the Certified and Supported SAP HANA Hardware Directory. For information on how to get started with your SAP HANA migration to EC2 High Memory instances, view the Migrating SAP HANA on AWS to an EC2 High Memory Instance documentation. To hear from Steven Jones, GM for SAP on AWS on what this launch means for our SAP customers, you can read his launch blog.
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AWS Blogs
AWS Japan Blog (Japanese)
- Migrating Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio
- Migrating an Amazon Kinesis Data Analytics for SQL application to Amazon Managed Service for Apache Flink Studio
- Amazon Aurora launches zero ETL integration with Amazon Redshift for PostgreSQL and Amazon DynamoDB
- AWS Weekly Roundup: WhatsApp, AWS Lambda, load balancers, AWS console, etc. (10/14/2024).
- How to issue specific use certificates using AWS Private CA
- The first AWS retail consumer goods industry event “AWS Retail CPG Expo 2024” will be held: from customer engagement to smart stores — showcasing over 20 solutions in 5 strategic innovation areas
AWS Cloud Operations Blog
AWS Big Data Blog
- A customer’s journey with Amazon OpenSearch Ingestion pipelines
- Single sign-on SSO for Amazon OpenSearch Service using SAML and Keycloak