この日はAWSから2件のアップデートが発表された。AWS Clean Roomsは、コラボレーション内のSQLクエリに対する詳細モニタリング機能の提供を開始した。クエリのパフォーマンスやリソース使用状況などの詳細なメトリクスをCloudWatchに発行でき、大規模なワークロードのオブザーバビリティ向上に役立つ。コラボレーションの作成者や分析実行者、支払者が詳細モニタリングを有効化できる。もう1件はAmazon Connectで、フロー内でネストされたJSONオブジェクトやリスト配列を含む複雑なデータ構造を保存・操作できるようになった。リスト内の項目を順番にループ処理しながら現在位置を追跡でき、社内システムから取得したリッチな情報を活用した動的な自動化体験の構築が容易になる。
AWS Clean Rooms: コラボレーションクエリの詳細モニタリングをCloudWatchに提供
Amazon Connect: ネストJSONオブジェクトとループ配列の保存に対応
Today, AWS Clean Rooms announces the launch of detailed monitoring for SQL queries in a collaboration. This new capability publishes detailed metrics to CloudWatch for operational monitoring of collaborations, including query performance and resource utilization.
You can choose to publish detailed monitoring metrics for SQL queries run in a Clean Rooms collaboration to CloudWatch, helping you improve the observability for your workloads at scale. The collaboration creator can enable detailed monitoring for a collaboration, and the analysis runner or configured payor can enable detailed monitoring when configuring their collaboration membership. For example, advertisers can monitor their campaign lift analysis queries in CloudWatch to identify performance issues and optimize costs.
With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
Amazon Connect now enables you to store and work with complex data structures in your flows, making it easy to build dynamic automated experiences that use rich information returned from your internal business systems. You can save complete data records, including nested JSON objects and lists, and reference specific elements within them, such as a particular order from a list of orders returned in JSON format.
Additionally, you can automatically loop through lists of items in your customer service flows, moving through each entry in sequence while tracking the current position in the loop. This allows you to easily access item-level details and present relevant information to end-customers. For example, a travel agency can retrieve all of a customer’s itineraries in a single request and guide the caller through each booking to review or update their reservations. A bank can similarly walk customers through recent transactions one by one using data retrieved securely from its systems. These capabilities reduce the need for repeated calls to your business systems, simplify workflow design, and make it easier to deliver advanced automated experiences that adapt as your business requirements evolve.
To learn more about these features, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, AWS’s AI-native customer experience solution, please visit the Amazon Connect website.