Posted On: Nov 29, 2021
AWS IoT SiteWise is a managed service to collect, store, organize, and monitor data from industrial equipment at scale. AWS IoT SiteWise now supports two storage tiers for equipment data: a hot tier optimized for real-time applications, and a cold tier optimized for analytical applications. The hot tier stores frequently accessed data with lower write-to-read latency. You can store data in the hot tier for industrial applications that need fast access to the latest measurement values from your equipment, such as applications that visualize real-time metrics with an interactive dashboard, or applications that monitor operations and trigger alarms to identify equipment performance issues. The cold tier stores less-frequently accessed data that can tolerate higher read latency. Use data from the cold tier to create applications that need access to historical data, such as business intelligence (BI) dashboards, artificial intelligence (AI) and machine learning (ML) training, historical reports, and backups.
By using the AWS IoT SiteWise cold tier, customers can lower their storage cost for less-frequently accessed data. AWS IoT SiteWise uses an Amazon S3 bucket in the customer account as the destination for cold tier data. You can configure AWS IoT SiteWise storage tiers from the AWS IoT SiteWise console. All you need to do is provide the URL to an Amazon S3 bucket in your AWS account, and define a hot data retention period after which data will be removed from hot tier. Once cold tier storage is enabled, AWS IoT SiteWise will export data from measurements, metrics, transforms, and aggregates to your S3 bucket every 6 hours. In addition, AWS IoT SiteWise will export to your S3 bucket any changes to asset and asset model definitions within minutes, so you can have the most updated virtual representation of your factory floor in your industrial data lake at all times.