OpenSearch Service 2.11 now comes with OpenSearch Neural Sparse Retrieval. Search practitioners now have an additional search method to use for their search applications with improved semantic understanding, while keeping computational cost and computational latency low, more in line with lexical search.

Amazon S3 server access logging now supports automatic date-based partitioning for log delivery. Amazon S3 server access logging provides detailed records for requests made to your S3 buckets including object size, total time, turn-around time, HTTP referer, and more. Now, with date-based partitioning, Amazon S3 automatically generates either event time or delivery time prefixes when delivering access logs to your destination bucket, which allows services like Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum to improve performance and reduce cost when querying logs.

Amazon QuickSight is excited to announce the launch of SPICE capacity auto-purchase feature, offering an improved solution for the automatic management of SPICE capacity. Previously, customers had to manually purchase SPICE capacity, and insufficient capacity could lead to data ingestion failures, hindering the intended use of QuickSight. Now, customers can effortlessly opt in to the capacity auto-purchase with just one click. This new SPICE auto-purchase capability eliminates the need for customers to estimate usage and manually purchase SPICE capacity each time. Instead, they can seamlessly ingest data and use SPICE worry free, as QuickSight will automatically acquire the necessary capacity to meet their usage requirements. For further details, visit here .

Amazon CloudFront announces general availability of CloudFront KeyValueStore, a global, low-latency, key value datastore. KeyValueStore allows you to retrieve key value data from within CloudFront Functions making functions more customizable by allowing independent data updates. The key value data is available across all CloudFront edge locations and provides a highly efficient, in-memory, key-value store with fast reads from within CloudFront Functions. With KeyValueStore you can now implement lookup use cases such as feature flags, A/B testing, and storing environment variables with low latency.

Today, we are announcing the general availability of Amazon DocumentDB (with MongoDB compatibility) I/O-Optimized, a new storage configuration for database clusters that provides improved price performance and predictable pricing for customers with I/O-intensive applications. Amazon DocumentDB I/O-Optimized offers improved performance, increasing write throughput and reducing latency for customers’ most demanding workloads. With Amazon DocumentDB I/O-Optimized, there are zero charges for read and write I/O operations—you only pay for your database instances and storage usage, making it easy to predict your database spend up front. Amazon DocumentDB I/O-Optimized offers up to 40% cost savings for I/O-intensive applications where I/O charges exceed 25% of the total Amazon DocumentDB database spend.

Today, we are excited to announce that Amazon CodeWhisperer is available in Amazon EMR Studio. You can use Amazon CodeWhisperer with no additional charge to generate real-time code suggestions in Amazon EMR Studio notebooks. CodeWhisperer can generate code suggestions ranging from snippets to full functions in real time based on your prompts and existing code.

AWS IoT SiteWise now supports the use of user-defined unique identifiers for asset, asset models, properties and hierarchies. This new feature allows consistency and control using identifiers for assets and asset models in AWS IoT SiteWise, especially for companies that have modeled their industrial equipment in multiple systems or AWS IoT SiteWise instances.

We are announcing the launch of data retrieval query API (ExecuteQuery ) to allow customers to access asset metadata and telemetry data for both operational and analytical use cases. With the new ExecuteQuery API customers can retrieve metadata and time-series data from asset models, assets, measurements, metrics, transforms, and aggregates using SQL-like query statements in a single API request.

AWS IoT SiteWise now supports Asset model components to help industrial customers create reusable components to derive new asset models and express variations easily.

Today, AWS IoT SiteWise is launching multi-variate anomaly detection of industrial assets via integration of historical and real-time equipment data with Amazon Lookout for Equipment. Anomaly detection helps industrial customers quickly identify and visualize changes in equipment or operating conditions thus unlocking Predictive Maintenance use cases.