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  1. AWS IoT SiteWise now supports warm storage, a fully-managed storage tier that makes it easy for customers to securely store and access industrial data needed for analytics use cases such as business intelligence dashboards and machine learning applications. The warm storage tier allows customers to retain large amounts of historical data at near Amazon S3 cost per GB storage prices. Data stored in the warm tier is optimized for retrieval using AWS IoT SiteWise query API. View the full article
  2. 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. View the full article
  3. 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. View the full article
  4. 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. View the full article
  5. AWS IoT SiteWise now supports Asset model components to help industrial customers create reusable components to derive new asset models and express variations easily. View the full article
  6. 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. View the full article
  7. 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. View the full article
  8. Today, we’re announcing the general availability of extended industrial protocol support for AWS IoT SiteWise. Through a new integration with AWS Partner Domatica, customers can now ingest data from 10 additional industrial protocols including Modbus (TCP & RTU), Ethernet/IP, Siemens S7, KNX, LoRaWAN, MQTT, Profinet, Profibus BACnet, and Rest interfaces, in addition to native OPC UA support. Previously, ingesting data from these protocols required acquiring, provisioning, and configuring infrastructure and middleware for data collection resulting in additional cost and time to value. View the full article
  9. AWS IoT SiteWise, a service that makes it easy to collect, store, organize, and monitor data from industrial equipment, is announcing user experience improvements of the formula builder in the AWS Console, making it easier for customers to create and manage their metrics and transforms. View the full article
  10. AWS IoT SiteWise now provides the ability for customers to automatically compute aggregated asset property values every 15 minutes. Customers can now get aggregated values for asset properties, metrics and transforms (mathematical expressions that map asset properties' data points from one form to another) for every minute, 15-minute, hour, and day. AWS IoT SiteWise computes commonly used statistical aggregates such as average, count, maximum, minimum, standard deviation, and sum over multiple time intervals. Customers can map data streams and define static or computed equipment and process properties across all facilities so they're readily available for analysis. For non-numeric properties, such as Strings and Booleans, AWS IoT SiteWise computes only the count aggregate. View the full article
  11. Today, AWS IoT SiteWise announced new performance enhancements that will significantly improve the retrieval of industrial data from its hot storage tier. We have improved the GetAssetPropertyValueHistory and BatchGetAssetPropertyValueHistory APIs by increasing the maximum number of results for each paginated response from 250 up to 20K. With these upgrades, developers can now retrieve asset property data, including measurements, attributes, metrics, and transforms, at high velocity to build industrial applications. View the full article
  12. AWS IoT SiteWise now supports time-weighted average (timeweightedavg) and time-weighted standard deviation (timeweightedstdev) functions that make it easier to automatically factor in the numerical levels of a particular variable, as well as the amount of time spent in that variable. With the new time-series functions, process engineers can define metrics for time-series data that isn’t regularly sampled and get a representative view of their operations. View the full article
  13. Starting today, AWS IoT TwinMaker will support asset synchronization with AWS IoT SiteWise, making it easier for AWS IoT SiteWise customers to bring their assets and asset models into AWS IoT TwinMaker. View the full article
  14. AWS IoT SiteWise has increased quota limits for Assets and Asset Models to support larger and more complex equipment representations, and allow customers to perform bulk operations on resources. View the full article
  15. AWS IoT SiteWise now supports definition of asset measurement units at the asset level, enabling customers to use a single asset model for machines reporting measurements in different units. View the full article
  16. AWS IoT SiteWise now supports non-unique asset names under different hierarchies, allowing asset name reusability. The new feature simplifies scaling for companies creating asset hierarchies for more than one hierarchy tree within the same AWS account and AWS IoT SiteWise installation. View the full article
  17. AWS IoT SiteWise now supports bulk import of historical measurements from sensors with the launch of three new APIs. The new bulk import APIs help customers to ingest historical data from their operations stored in diverse systems such as historians and time series databases in AWS IoT SiteWise. View the full article
  18. AWS IoT SiteWise now supports payload compression for data ingested using the AWS IoT SiteWise data ingestion API (BatchPutAssetPropertyValue). By using payload compression industrial customers can reduce payload size and optimize network bandwidth used in order to ingest data to AWS IoT SiteWise. View the full article
  19. AWS IoT SiteWise now supports batch data retrieval from multiple asset properties with the launch of three new APIs that allow you to retrieve current values (BatchGetAssetPropertyValue), historical values (BatchGetAssetPropertyValueHistory), and aggregated values (BatchGetAssetPropertyAggregates) from AWS IoT SiteWise in a single API request. View the full article
  20. The Alarms feature in AWS IoT Events allows you to set up, visualize and manage rule-based alerts for devices, equipment, and processes. You can receive alerts via SMS or email in near-real time when equipment data breaches thresholds, allowing operations teams to take timely actions to reduce unplanned equipment downtime. View the full article
  21. AWS IoT SiteWise now supports linear interpolation, enabling customers to estimate and retrieve the values of missing data points in their time series data. View the full article
  22. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale to help you make better, data-driven decisions. View the full article
  23. We are excited to announce that AWS IoT SiteWise now supports date and time functions, and global time zones for use in metric and transform computations in the AWS IoT SiteWise asset model. You can now use date and time expressions to retrieve the current timestamp of equipment data in UTC (Coordinated Universal Time) or in your local time zone, construct timestamps given input parameters such as year, month, day of the month and time, and extract different time fields such as year or month given a specific timestamp value. The date and time functions supported by AWS IoT SiteWise are listed below. View the full article
  24. AWS IoT SiteWise Monitor now supports AWS CloudFormation, enabling customers to create and manage AWS IoT SiteWise Monitor resources such as portals, projects, dashboards, widgets, and properties using CloudFormation. View the full article
  25. We are excited to announce Alarms, a new feature (currently in preview) in AWS IoT Events that allows you to set up, visualize and manage rule-based alerts for devices, equipment, and processes. You can now receive alerts via SMS or email in near-real time when equipment data breaches thresholds, allowing operations teams to take timely actions to reduce unplanned downtime. View the full article
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