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.

AWS IoT SiteWise now support bulk import, export, and update industrial equipment metadata. The new bulk APIs for metadata help customers to import their asset model data from diverse systems such as historians in AWS IoT SiteWise at scale.

Amazon QuickSight launched a new analysis experience, enabling a more intuitive and efficient way for authoring dashboards on QuickSight. With the new analysis experience, QuickSight is redesigning the core workflows for authors to be more intuitive, scalable, and efficient. The new analysis experience includes

• 3-pane layout that provides a clear and organized workspace for easy navigation between data, visualization building, and object properties. This includes updates to pane components, new vertically organized field wells, drag and drop fields, add/edit workflow, visual type selector redesign, and the Properties pane.
• The analysis toolbar providing access to essential authoring, editing, and pane-management functions with just a click, allowing authors to work more efficiently across the analysis experience.

Today, we are announcing the launch of a new feature in AWS IoT SiteWise that allows cost-efficient and scalable ingestion of time-series data needed for analytical use cases. Until now, customers have used AWS IoT SiteWise streaming ingestion APIs to ingest telemetry data for real-time use cases within milliseconds. With this new feature, customers can now buffer time-series data streams at the edge before ingesting to the cloud. This lowers ingestion cost for data needed in the cloud within minutes instead of milliseconds. For example, data needed for machine learning applications and BI analytics dashboards that only need to be updated every 15 minutes. The combination of the two ingestion mechanisms allows customers to configure efficient ingestion pipelines for data needed for real-time and analytical applications.