AWS IoT SiteWise pricing

AWS IoT SiteWise is a managed service that makes it easy to collect, organize, process, and monitor data from industrial equipment at scale to help you make better, data-driven decisions. You pay only for what you use, with no minimum fees or mandatory service usage. You are charged separately for usage of Messaging, Data Processing, Data Storage, Data Export, AWS IoT SiteWise Monitor, AWS IoT SiteWise Edge, and Alarms.

Pricing details

AWS IoT SiteWise Messaging

Messages transport equipment data and computed data to, from, and within AWS IoT SiteWise. Messages are metered by the amount of data ingested or retrieved by querying or publishing.

Data Ingestion: Messages are ingested through an application programming interface (API)—a method allowing two software applications to exchange information, or generated by a computation over equipment data. A message can also be ingested through AWS IoT SiteWise APIs, including APIs used by AWS IoT SiteWise Edge or by other application clients (e.g., BatchPutAssetPropertyValue, CreateBulkImportJob). 

For near real-time data ingestion, messages are metered in 1KB increments or 10 data points per data stream. 

For buffered data ingestion, messages are metered in 5KB increments or 60 data points across multiple data streams. When ingesting buffered data, you will be charged a minimum of 10MB or 2,000 messages per ingestion period.

AWS IoT SiteWise integrates with Amazon Lookout for Equipment, to train anomaly detection models in Lookout for Equipment and predict failures before they happen. You will incur charges for publishing and receiving messages, computation, and storage in AWS IoT SiteWise.

Data Retrieval: Messages are retrieved when a property, such as a measurement of a sensor value, is published to a query request (e.g. when data is retrieved through APIs or published to AWS IoT Core).

Messages published in response to an asset property query request are metered for each set of up to 50 property values or every 4 KB of data contained in the message, whichever results in a higher count of messages. The warm tier retrieval meters a minimum of 200 KB or 10 messages per retrieval per data stream, measured in 20KB increments or 250 property values.

Messages published in response to an interpolated asset property query request are metered based on the number of property values retrieved from storage to compute each interpolated value.

Additional charges apply for GET requests made against your Amazon Simple Storage Service (Amazon S3) bucket when data results are retrieved from your cold tier. For more information about these charges, see Amazon S3 pricing. Messages published to AWS IoT Core are metered in 1 KB increments, and this operation does not incur any additional messaging charges from AWS IoT Core.

AWS IoT SiteWise Data Storage

Once data is in the cloud, AWS IoT SiteWise stores equipment and computed data in a managed time series database that automatically scales with your data usage and storage. AWS IoT SiteWise monitors the size of your storage continuously to determine your storage charges.

AWS IoT SiteWise Data Processing

AWS IoT SiteWise Query

Queries allow you to retrieve definition of asset models, asset hierarchies, assets, as well as measurements data. 

You pay for the volume of data scanned. Data scanned, is metered across data stream to retrieve your results. Data scan meters metadata or telemetry data at increments of 100 KB per retrieval.

Additional charges for data egress from the hot and warm storage tiers apply. See Messaging pricing.

AWS IoT SiteWise Monitor

AWS IoT SiteWise Monitor provides managed web applications for interacting with operational data from devices and equipment that send data to AWS IoT SiteWise. 

AWS IoT SiteWise Data Export

You can store data from measurements, metrics, transforms and aggregates in AWS IoT SiteWise cold storage tier. AWS IoT SiteWise stores data in cold storage tier that is older than your predefined hot storage tier retention period, including data that is ingested using BatchPutAssetPropertyValue and CreateBulkImportJob. Data in cold tier is stored as Amazon S3 objects in an S3 bucket in your account. You will be charged for the number of S3 objects created or updated by AWS IoT SiteWise to store data in cold tier.

Additional charges apply for storing exported data in Amazon S3 and for PUT requests made against your Amazon S3 bucket. For more information about these charges, see Amazon S3 pricing.

AWS IoT SiteWise Edge

AWS IoT SiteWise Edge provides on-premises data collection and processing capabilities. SiteWise Edge capabilities are offered through packs.

Data Collection Pack: This pack enables data collection from common industrial data sources and transferring it to the AWS Cloud. You can collect data from OPC-UA servers, Modbus servers, and over Ethernet/IP. You can transfer the collected data to Amazon S3, AWS IoT SiteWise, AWS IoT Core, Amazon Timestream, and Amazon Kinesis.

The Data Collection Pack is free.

Data Processing Pack: This pack enables the processing of the computations (transforms and metrics) with AWS IoT SiteWise asset models and visualizing them with SiteWise Monitor web applications on the SiteWise gateway. You can also interact with the data processed locally by the SiteWise gateway using the same REST APIs you use with AWS IoT SiteWise in the cloud.

A Data Processing Pack is charged at $200 per active gateway per month. A gateway is considered active in a month if it connects to the AWS Cloud to receive SiteWise Edge software configuration updates.

Note that you will be charged separately for any other AWS services that you use; refer to specific pricing for those services. You will also be charged separately for AWS IoT Greengrass, which is used by SiteWise Edge.

AWS IoT SiteWise Alarms

The Alarms feature allows you to set up, visualize, and manage rule-based alerts to assess equipment behavior and identify equipment performance issues. Alarms in AWS IoT SiteWise are supported through the Alarms feature of AWS IoT Events. You will incur charges for alarms you create in AWS IoT SiteWise through AWS IoT Events. See AWS IoT Events pricing for details.

You will incur charges in AWS IoT SiteWise for publishing messages to AWS IoT Events that are used to evaluate alarms. You will also incur charges in AWS IoT SiteWise for storing alarm states received from AWS IoT Events.

AWS Pricing Calculator

Configure a cost estimate that fits your unique business needs with AWS IoT SiteWise. Try out the AWS Pricing Calculator.

No, there is no guarantee that your Compute Savings Plan will prioritize RHEL usage. The Savings Plan will apply as per the default behavior, which is to calculate your potential savings percentages for each combination of eligible usage and then apply to your highest savings percentage first and continue to apply until there is no more remaining usage or your commitment is exhausted. Learn more about how Savings Plans apply here. You can view your AWS Savings Plans recommendations via the AWS Cost Management console.

Pricing examples

  • Usage Summary
    Messaging
    Number of measurements per equipment = one measurement per equipment
    Frequency of message ingestion = one message per second per measurement
    Number of messages ingested in a month = one message / second / measurement * one measurement / equipment * 10 equipment * 86,400 seconds / day * 30 days / month = 25,920,000 messages per month

    Total number of messages ingested per month = 25,920,000 messages per month = 25.92 million messages per month

    Data Processing
    Auto-computed aggregates
    Number of aggregate computations per message = one computation per message ingested
    Total number of messages ingested per month = 25,920,000 messages per month
    Total number of aggregate computations per month = one computation / message * 25,920,000 messages / month = 25,920,000 computations = 25.92 million computations per month

    Total computations per month = 25.92 million computations per month

    Data Storage
    Equipment data
    Number of measurement messages per month = 25,920,000 messages per month
    Size of each message = 150 bytes per message (assuming each message ingested is 150 bytes)
    Storage per month = 25,920,000 messages per month * 150 bytes / message * 1 GB / (1024^3 bytes) = 3.62 GB per month*

    Auto-computed aggregates
    SiteWise stores all auto-computed aggregates. The storage used by auto-computed aggregates depends on the number of aggregates and time intervals over which they are calculated. In the example above, six auto-computed aggregates calculated over three time intervals (one-minute, one-hour, one-day) will result in 0.37 GB per month of data stored.

    Storage from auto-computed aggregates = 0.37 GB per month*

    Total data stored per month = 3.62 GB (from Equipment data) + 0.37 GB (from Auto-computed aggregates) = 3.99 GB per month*

    * This data reflects the data storage volume at the end of the first month.

    Billing Summary
    Messaging
    Messaging charges = $1.00 per million messages
    Total messaging usage in a month = 25.92 million messages
    Monthly charges for messaging = 25.92 million * $1.00 per million messages = $25.92 per month

    Data Processing
    Data processing charges = $0.50 per million computations
    Total computations in a month = 25.92 million computations
    Monthly charges for computations = 25.92 million computations * $0.50 per million computations = $12.96 per month

    Data Storage
    Total data stored at the end of the month = 3.99 GB per month

    Average storage usage per hour during the month = 1.995 GB*
    Monthly charges for storage = 1.995 GB * $0.30 per GB-month = $0.60 per month**

    *Assuming storage has grown linearly from 0GB to 3.99GB by the end of the month, average storage usage would approximate 1.995 GB.
    **Data that remains in storage from prior billing cycles will continue to be metered and billed accordingly

    Total Monthly Bill
    Monthly AWS IoT SiteWise charges = $25.92 + $12.96 + $0.60 = $39.48 per month

  • Usage Summary
    Messaging
    Number of metrics per equipment = one metric per equipment
    Frequency of messages generated per metric = one message / minute / metric
    Number of messages generated in a month = one message / minute / metric * one metric /equipment * 10 equipment * 1440 minutes / day * 30 days / month = 432,000 messages per month

    Additional number of messages ingested per month = 432,000 messages per month = 0.432 million messages per month

    Data Processing
    Custom metrics
    Frequency of computation per metric = one computation / message * one message / second / equipment * one equipment / metric = one computation / second / metric
    Number of computations per metric per month = one computation / second / metric * 86,400 seconds / day * 30 days / month = 2,592,000 computations per metric per month
    Number of computations across all equipment per month = 2,592,000 computations / metric / month* one metric / equipment * 10 equipment = 25,920,000 computations = 25.92 million computations per month

    Auto-computed aggregates
    Additional number of aggregate computations per month = one computation / message * 432,000 messages / month = 432,000 computations = 0.432 million computations per month

    Additional number of computations per month = 25.92 million (from Custom metrics) + 0.432 million (from Auto-computed aggregates) = 26.352 million computations per month

    Data Storage
    Custom metrics
    Additional messages ingested per month = 432,000 messages per month
    Size of each message = 150 bytes
    Additional storage per month = 432,000 messages / month * 150 bytes / message * 1 GB / (1024^3 bytes) = 0.06 GB per month

    Auto-computed aggregates
    Additional storage from auto-computed aggregates on custom metrics = 0.37 GB.

    Additional data stored per month = 0.06 GB (for Custom metrics) + 0.37 GB (from Auto-computed aggregates) = 0.43 GB per month

    Billing Summary
    Messaging
    Additional messaging usage per month = 0.432 million messages
    Additional monthly charges for messaging = 0.432 million messages * $1.00 per million messages = $0.43 per month

    Data Processing
    Additional computations per month = 26.352 million computations
    Additional monthly charges for computations = 26.352 million computations * $0.50 per million computations = $13.18 per month

    Data Storage
    Additional data stored at the end of the month = 0.43 GB

    Average additional storage usage per hour during the month = 0.25 GB*
    Additional monthly charges for storage = 0.25 GB * $0.30 per GB-month = $0.08 per month**

    *Assuming storage has grown linearly from 0GB to 0.43GB by the end of the month, average storage usage would approximate 0.25GB.
    **Data that remains in storage from prior billing cycles will continue to be metered and billed accordingly

    Additional Monthly Bill for custom metrics
    Additional monthly bill = $0.43 + $13.18 + $0.08 = $13.69 per month
  • Usage Summary
    Messaging
    Number of transforms per measurement = one transform per measurement
    Frequency of message ingestion per transform = one message / second / measurement * one measurement / one transform = one message / second / transform
    Number of messages generated per month = 10 equipment * one measurement / equipment * one transform / measurement * one message / second / transform * 86400 seconds / day * 30 days / month = 25,920,000 messages per month

    Additional number of messages ingested per month = 25,920,000 messages per month = 25.92 million messages per month

    Data Processing
    Custom transforms
    Number of computations per month per transform = one computation / message * one message / second / measurement * one measurement / transform * 86,400 seconds / day * 30 days / month = 2,592,000 computations per month per transform
    Number of computations across all equipment per month = 2,592,000 computations / month / transform * one transform / measurement * one measurement / equipment * 10 equipment = 25,920,000 computations per month = 25.92 million computations per month

    Auto-computed aggregates
    Additional number of aggregate computations per month = one computation / message * 25,920,000 additional messages / month = 25,920,000 computations = 25.92 million computations per month

    Additional number of computations per month = 25.92 million (from Custom transforms) + 25.92 million (from Auto-computed aggregates) = 51.84 million computations per month

    Data Storage
    Custom transforms
    Additional messages ingested per month = 25,920,000 messages
    Size of each message = 150 bytes
    Additional storage per month = 25,920,000 * 150 bytes / (1024^3 bytes/GB) = 3.62 GB per month

    Auto-computed aggregates
    Additional storage from auto-computed aggregates on custom transforms = 0.37 GB.

    Additional data stored per month = 3.62 GB (for Custom transforms) + 0.37 GB (from Auto-computed aggregates) = 3.99 GB per month

    Billing Summary
    Messaging
    Additional messaging usage per month = 25.92 million messages
    Monthly charges for messaging = 25.92 million messages * $1.00 per million messages = $25.92 per month

    Data Processing
    Additional computations per month = 51.84 million computations
    Monthly charges for computations = 51.84 million computations * $0.50 per million computations = $25.92 per month

    Data Storage
    Additional data stored at the end of the month = 3.99 GB
    Average additional storage usage per hour during the month = 1.965 GB*
    Additional Monthly charges for storage = 1.995 GB * $0.30 per GB-month = $0.60 per month**

    *Assuming storage has grown linearly from 0GB to 3.99GB by the end of the month, average storage usage would approximate 1.995.
    **Data that remains in storage from prior billing cycles will continue to be metered and billed accordingly

    Additional Monthly Bill for custom transforms
    Additional monthly charges = $25.92 + $25.92 + $0.60 = $52.44 per month

  • Usage Summary
    Messaging
    Your SiteWise monitor dashboard automatically refreshes every five seconds to help ensure that you are visualizing data close to real time. Assuming that you are monitoring graphs over a one-hour window, whenever the dashboard refreshes, all data points plotted on that one-hour window get refreshed. So, for each graph showing a one-minute aggregate, 60 total data points get fetched upon every refresh through messages. As each of these messages can carry 50 data points, the total messages retrieved can be estimated as follows:

    Number of messages retrieved per refresh per graph = ceiling ((60 data points / refresh / graph) / (50 data points / message)) = two messages per refresh per graph

    Number of messages retrieved across all graphs per refresh = two messages / refresh / graph * 10 graphs = 20 messages per refresh

    Number of messages retrieved across all users per month = (20 messages / refresh) * (one refresh / five seconds) * 3,600 seconds / hour * eight-hour shift / day / user * 30 days / month * five users = 17,280,000 messages per month

    Additional number of messages retrieved per month = 17,280,000 messages per month = 17.28 million messages per month

    SiteWise Monitor
    Number of unique active users per month = five plant operators = five users per month

    Billing Summary
    Messaging
    Additional messaging usage from SiteWise monitor per month = 17.28 million messages
    Monthly charges for messaging = 17.28 million messages * $1.00 per million messages = $17.28 per month

    SiteWise Monitor
    SiteWise Monitor charges = $10.00 per active user per month
    Number of active users per month = five users
    Monthly charges for SiteWise Monitor = five users * $10.00 per active user per month = $50 per month

    Additional Monthly Bill for SiteWise Monitor
    Additional monthly charges = $17.28 + $50.00 = $67.28 per month

  • Usage Summary
    Messaging
    For the one-hour graph showing the raw measurement data, with measurements coming in at one data point per second, 3,600 total data points get fetched from storage upon every refresh. As each of these messages can carry 50 data points, the total messages retrieved can be estimated as follows:
     
    Number of messages retrieved per refresh = ceiling ((3,600 data points / refresh / graph) / (50 data points / message)) = 72 messages per refresh
     
    Number of messages containing raw data retrieved per month = (72 messages / refresh) * (one refresh / 30 seconds) * 3,600 seconds / hour * 24 hours / day * 30 days / month = 6,220,800 messages per month
     
    For the one-hour graph showing the five-minute linearly interpolated measurement data, 12 interpolated values are returned, which means 24 messages (two messages per linearly interpolated value) get fetched from storage per refresh.
     
    Number of messages containing interpolated data retrieved per month = (24 messages / refresh) * (one refresh / 30 seconds) * 3,600 seconds / hour * 24 hours / day * 30 days / month = 2,073,600 messages per month
     
    Total additional number of messages retrieved per month = 6,220,800 (for graph showing raw data) + 2,073,600 (for graph showing interpolated data) = 8,294,400 messages per month = 8.29 million messages per month

    Billing Summary
    Messaging
    Additional messaging usage per month = 8.29 million messages
    Monthly charges for messaging = 8.29 million messages * $1.00 per million messages = $8.29 per month
     
    Additional Monthly Bill for graphs in your custom application
    Additional monthly charges = $8.29 per month
  • Usage Summary
    SiteWise Edge
    Number of packs Used:
    One Data Collection Pack
    One Data Processing Pack per month

    Messaging
    Frequency of messages from transforms = one message per second per transform
    Number of messages from transforms per month, per gateway = 10 transforms x one message per second x 86,400 seconds/day x 30 days = 25.92 million messages
    Number of messages from one-minute metrics results per month, per gateway = two metrics x 1,440minutes per day x 30 days = 86,400 messages
    Number of messages ingested into cloud per month = 25.92 million messages + 86,400 messages = 26.0064 million messages per month
     
    Data Storage
    Size of message from transforms or metrics = 150 bytes per message
    Metrics and transforms data stored in the cloud per month. = Size of message x number of messages per month = 150/1 GB (1024^3 bytes) x 26.0064 M = 3.63 GB per month
     
    Billing Summary
     
    SiteWise Edge = One Data Processing Pack x $200 per pack, per month = $200 per month
     
    Messaging = 26 million messages x $1.00 per million messages = $26 per month
     
    Data Storage = 1.815 GB* x $0.03 per GB. Month = $0.05 per month
    *Assuming storage has grown linearly from 0GB to 3.63GB by the end of the month, average storage usage would approximate 1.815 GB.
    **Data that remains in storage from prior billing cycles will continue to be metered and billed accordingly.
     
    Total Monthly Bill
    Monthly AWS IoT SiteWise charges = $200 + $26 + $0.05 = $226.05 per month
  • Usage Summary

    Data Export

    We will first calculate the number of objects that will be exported for measurements, metrics, and transforms. AWS IoT SiteWise creates a new S3 object for each measurement, metric, or transform that has data in the system every six hours.

    Number of objects per measurement, metric, or transform per month = 1 object / 6 hours * 24 hours / 1 day * 30 days / month
    Number of objects per measurement, metric, or transform per month = 120 objects / month

    Total number of objects for measurements per month = 120 objects / measurement / month * 1 measurement / equipment * 10 equipment = 1,200 objects per month

    Total number of objects for metrics per month = 120 objects / metric / month * 1 metric / equipment * 10 equipment = 1,200 objects per month

    Total number of objects for transforms per month = 120 objects / transform / month * 1 transform / measurement * 1 measurement / equipment * 10 equipment = 1,200 objects per month

    Total objects per month = 1,200 + 1,200 + 1,200 = 3,600 objects per month


    Billing Summary

    Additional Monthly Bill for data export

    Data export charges = $0.005 per thousand objects
    Total objects exported per month = 3,600 objects
    Additional monthly charges for data export = 3,600 objects * $0.005 per thousand objects = $0.018 per month

    * Additional charges apply for storing exported data in Amazon S3 and for PUT requests made against your Amazon S3 bucket. For more information about these charges, see Amazon S3 pricing.

     

  • AWS IoT SiteWise will ingest data to the hot and cold storage tiers. Data timestamped after your defined hot tier retention period will be stored in the hot storage tier. Data timestamped prior to your defined retention period will be stored in the cold storage tier. For this pricing calculation we are going to assume that your hot storage tier retention period is 30 days. To learn more about AWS IoT SiteWise data storage, see managing data storage. The AWS IoT SiteWise bulk import charges are estimated as follows:

    Usage Summary

    Messaging

    AWS IoT SiteWise will import 1 month of data to the hot tier storage. Assuming the data for the last 30 days will be imported in 6-hour chunks.

    Number of measurements per 6-hour window: 10 devices * 6 hours * 60 min * 60 seconds * 1 measurement per second = 216,000 measurements per 6-hour window.

    Assuming 81 bytes per measurement, including overhead, the total volume of data that is ingested every 6 hours is = 216,000 measurements * 81 bytes per measurement / 1024 conversion of byte to KB = 17,086 KB.

    Number of messages, measured in 5 KB increments for bulk import = 17,086 / 5 KB per
    message = 3,417 messages per 6-hour window.

    Total monthly messages = 3,417 * 4 (number of 6-hour windows in a day) * 30 = 410,064.

    Data Export

    Number of objects per measurement, metric, or transform per month = 1 object / 6 hours * 24 hours / 1 day * 30 days / month.

    Number of objects per measurement, metric, or transform per month = 120 objects / month.

    Total number of objects for measurements per month for 10 equipment = 120 objects /
    measurement / month * 1 measurement / equipment * 10 equipment = 1,200 objects per month.

    AWS IoT SiteWise will export 59 months of data to the cold storage tier.

    Total number of objects for 59 months of measurement data = 1,200 objects per month * 59 = 70,800 S3 objects.

     

    Billing Summary

    Messaging

    Messaging charges = $1.00 per million messages
    Total messaging usage for 1-month historical data = 410,064 messages
    One time charge for bulk import of 1-month historical data to hot storage tier = 410,064 *
    $1.00 per million messages = $0.41

    Data Export

    Data Export charges = $0.005 per thousand objects
    Total objects exported for 59 months = 70,800 objects
    One-time charge for bulk import of 59 months historical data to cold storage tier = 70,800*
    $0.005 per thousand objects = $0.354

     

  • Usage Summary
    Messaging
    Number of measurements ingested in a month = 1,000 * 86,400 seconds / day * 30 days / month = 2,592,000,000 measurements per month

    Total number of measurements ingested per month using NRT ingestion = 2,592,000,000 measurements per month * 20% (NRT path) * 100 bytes per measurement / 1 KB increments = 51,840,000 messages per month = 51.84 million messages per month

    Total number of data points ingested per month using buffered ingestion = 2,592,000,000 data points per month * 80% (buffered ingestion path) * 100 bytes per measurement / 5 KB increments = 41,472,000 messages per month = 41.472 messages per month

    Data Processing
    Auto-computed aggregates
    Number of aggregate computations per message = one computation per message ingested using NRT ingestion

    Total number of aggregate computations in hot tier per month = 51,840,000 messages per month = 51.84 million messages per month

    Data Storage
    Equipment data
    Number of measurements per month= 2,592,000,000

    Storage per month = 2,592,000,000 measurement per month * 100 bytes / (1024^3 bytes per GB) = 241.40 GB per month

    Auto-computed aggregates
    SiteWise stores all auto-computed aggregates. The storage used by auto-computed aggregates depends on the number of aggregates and time intervals over which they are calculated. In the example above, six auto-computed aggregates calculated over four time intervals (one-minute, fifteen-minutes, one-hour, one-day) will result in GB per month of data stored.

    Storage from auto-computed aggregates = 3,099.63 GB per month*

    Total data ingested in NRT per month = 241.40 GB (from Equipment data) + 3,099.63 GB (from Auto-computed aggregates) = 3,341.03 GB per month*

    * This data reflects the data storage volume at the end of the first month.

    Billing Summary
    Messaging
    Total messaging usage in a month = 51.84 million messages (hot tier)

    Monthly charges for messaging = 51.840 million * $1.00 per million messages = $51.84 per month

    Total messaging usage in a month using buffered ingestion = 41.472 million messages

    Monthly charges for messaging to buffered ingestion= 41.472 million * $1 per million messages = $41.47 per month

    Data Processing
    Data processing charges = $0.50 per million computations

    Total computations in a month = 51.84 million computations

    Monthly charges for computations = 51.84 million computations * $0.50 per million computations = $25.92 per month

    Data Storage
    Total data stored at the end of the month = 3,341.03 GB per month

    Average storage usage per hour during the month = 3,341.03 GB*

    Monthly charges for hot storage = 3,341.03 GB (hot storage) * $0.30 per GB-month = $1,002.31 per month**

    Monthly charges for warm storage = 3,341.03 GB * (warm storage) * $0.03 per GB-month  = $100.23 per month**

    *Assuming storage has grown linearly from 0 GB to 6682.06 GB by the end of the month, average storage usage would approximate 3,341.03 GB.

    **Data that remains in storage from prior billing cycles will continue to be metered and billed accordingly.

    Total Monthly Bill
    Monthly AWS IoT SiteWise charges = $51.84 + $41.47 + $25.92 + $1,002.31 + $100.23 = $ 1,221.77 per month

  • Usage Summary
    Messaging
    Near Real-Time Graphs
    Number of measurements retrieved per graph in a month= 100 measurements * count of 15- minute intervals in a month = 288,000 measurements per month per graph

    Number of messages retrieved from hot storage tier = 100 measurements per interval / 4KB (50 data points) per message * 800 graphs * (count of 15-minute intervals in a month = 4,608,000 messages

    Analytical Graphs
    Number of messages retrieved from warm storage tier = 100 measurements per interval / 20KB (250 data points) per interval with min of 10 messages * count of 15-minute intervals in a month * 200 graphs = 5,760,000 messages

    Data retrieval per interval amounts to 1 message, however, minimum retrieval from the warm tier is 10 messages per retrieval.

    Billing Summary
    Messaging
    Total messaging usage from hot tier in a month = 4,608,000 messages

    Total messaging usage from warm tier in a month = 5,760,000 messages

    Monthly charges for messaging = (4,608,000 messages from hot + 5,760,000 messages from warm) * $1.00 per million messages = $10.37 per month

    Total Monthly Bill
    Monthly AWS IoT SiteWise charges = $10.37 per month

  • Usage Summary
    Messaging
    Number of metrics per equipment = one metric per equipment

    Frequency of messages generated per metric = one message per minute per metric

    Number of messages generated in a month = 2 retrievals per metric calculation * 10 equipment * 1440 metrics per day * 30 days = 864,000 messages per month

    Additional number of messages retrieved per month = 864,000 messages per month = 0.864 million messages per month

    For 12 months: 864,000 messages per month * 12 months = 10.368 million messages

    Number of metrics per equipment = one metric per equipment

    Frequency of messages generated per metric = one message per minute per metric

    Number of messages generated in a month = one message per minute per metric * one metric per equipment * 10 equipment * 1440 minutes per day * 30 days = 432,000 messages per month

    Additional number of messages ingested per month = 432,000 messages per month = 0.432 million messages per month

    For 12 months: 432,000 messages per month * 12 months = 5.184 million messages

    Data Processing
    Frequency of computation per metric = one computation per message * one message per second per equipment * one equipment per metric = one computation per second per metric

    Number of computations per metric per month = one computation per second per metric * 86,400 seconds per day * 30 days = 2,592,000 computations per metric per month

    Number of computations across all equipment per month = 2,592,000 computations per metric per month* one metric per equipment * 10 equipment = 25,920,000 computations = 25.92 million computations per month

    For 12 months: 25.92 million computations * 12 months = 311.04 million computations

    Auto-computed aggregates
    Additional number of aggregate computations per month = one computation per message * 432,000 messages per month = 432,000 computations = 0.432 million computations per month

    Additional number of computations per month = 25.92 million (from Custom metrics) + 0.432 million (from Auto-computed aggregates) = 26.352 million computations per month

    For 12 months: (0.432 + 26.352) million computations * 12 months = 316.224 million computations

    Data Storage
    Custom metrics
    Additional messages ingested per month = 432,000 messages per month

    Size of each message = 100 bytes

    Additional storage per month = 432,000 messages per month * 100 bytes per message/ (1024^3 bytes per GB) = 0.04 GB per month

    For 12 months: 0.04 GB per month * 12 months = 0.48 GB

    Auto-computed aggregates
    Additional storage from auto-computed aggregates on custom metrics = 10 equipment, 1 metric, aggregates calculated for 1 min, 5 min, 15 min, 1 hour, 1 day = 0.0000279 GB

    Auto computed aggregates calculated for 30 days: 0.0000279 * 30 = 0.000838 GB

    Data stored per month = 0.04 GB (for Custom metrics) + 0.00083 GB (from Auto-computed aggregates) = 0.040838 GB per month

    Data Stored per year: 0.040838 GB per month * 12 months per year = 0.490 GB

    Total Storage = 0.48 GB (custom metrics) + 0.490 GB (aggregates) = 0.97 GB

    Billing Summary
    Messaging
    Messaging usage = 10.368 million messages to retrieve + 5.184 million messages to write results

    Charges for messaging = 15.552 million messages * $1.00 per million messages = $15.55

    Data Processing
    Additional computations = 316.224 million computations

    Additional charges for computations = 316.224 million computations * $0.50 per million computations = $158.11

    Data Storage
    Additional data stored = 0.97 GB

    Additional charges for storage = 0.97 GB * $0.30 per GB-month = $0.29

    Additional Bill for On-Demand Computation
    Reprocessing 1 year of data for 5.18 million computations.

    Additional bill = $15.55+ $158.11 + $0.40= $174.06

  • Usage Summary

    1 – Ingesting to hot storage tier
    Messaging
    Total number of measurements ingested per month using buffered ingestion.

    2,592,000,000 measurements per month * 100% (buffered ingestion) * 100 bytes per measurement / 5 KB increments = 50,625,000 messages per month

    Data Processing
    Number of aggregate computations per month = one computation per message

    50,625,000 messages per month = 50,625,000 computations per month

    Data Storage
    Size of each measurement = 100 bytes per data points (assuming each measurement ingested is 100 bytes)

    Monthly storage charges = 2,592,000,000 measurement per month * 100 bytes / (1024^3 bytes per GB) = 241.4 GB per month

    Auto-computed aggregates
    Storage from auto-computed aggregates = 3,099.63 GB per month

    Total data stored per month in hot storage = 241.40 GB (from Equipment data) + 3,099.63 GB (from Auto-computed aggregates) = 3,341.03 GB per month

    2- Ingesting to warm storage tier
    Messaging
    50,625,000 Messages per month * 60 months in warm storage = 3,037,500,000 messages

    Data Storage
    Equipment data
    241.40 GB per month * 60 months in warm storage = 14,484 GB total for equipment data

    Auto-computed aggregates
    3,099.63 GB per month * 60 months in warm storage =185,977.8 GB total for equipment data

    Total data stored per month in warm storage = 14,484GB + 185,977.8GB = 200,461.8 GB

    Billing Summary
    Messaging
    One-time charge for import of 60-month historical data to warm storage tier = 3,037.500 million messages

    One-time charge for Messaging of 60 months of historical data = $3,037.50

    Data Processing
    Pre-Computed aggregate computations are free for buffered historical data ingestion.

    Data Storage
    Storage of 60 months of historical data to warm storage tier = 3,341.03 GB per month * 60 months * $0.03 per GB = $ 6,013.85

    Total Messaging + Data Storage Cost = $3,037.50 + $6,013.85 = $9,051.35

     

  • Usage Summary
    Messaging
    Data retrieval from hot storage tier per asset = 23,063 measurements

    Number of messages retrieved from Hot storage per asset = 23,063 measurements * 100 byte per measurement/ ( 4 KB or 50 measurements) = 462 messages

    Number of messages retrieved from Hot storage for 30 assets = 462 messages * 30 assets = 13,860 messages

    Data retrieval from warm storage tier per asset = 23,063 measurements * 59 months = 1,360,717 measurements

     Number of messages retrieved from Warm storage per asset = 1,360,717 measurements / (20 KB or 250 measurements) = 5,443 messages

    Number of messages retrieved from Warm storage for 30 asset = 5,443 messages * 30 equipment = 163,290 messages

    Query Requests
    Assuming total Measurements to scan per asset (Data scan): 1,383,772

    Measurements to scan per month per asset : 1,383,772 / 60 months = 23,063 measurements
    per month

    Data Scan Volume: 30 asset * 1,383,772 data scanned per asset = 41,513,160 measurements

    Data Scan in GB = 3.866

    Billing Summary
    Messaging

    From hot tier: 13,838 messages at $1 per million = $0.013838

    Warm tier: 163,290 messages at $1 per million = $0.16329

    Total Messaging Cost = $0.17712

    Query Requests
    $0.20 per GB scanned increments of 100KB

    SQL cost per data scanned = 3.867 GB * $0.20 per GB Scanned = $0.7732

    Total Messaging + SQL data scanned Cost = $0.17712 + $0.7732= $0.95

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