Amazon CloudWatch Pricing

Paid tier

Pricing examples

• Example 1 - EC2 Detailed Monitoring

  The number of metrics sent by your EC2 instance as detailed monitoring is dependent on the EC2 instance type - see Instance Metrics documentation for details. This example assumes 7 metrics, which covers the most commonly used instance types.  

  If your application runs on 10 Amazon EC2 instances 24x7 for a 30-day month, and you enable EC2 Detailed Monitoring on all instances, your charges would be as follows:

  Total number of metrics = 7 metrics per instance * 10 instances = 70 metrics

  Monthly CloudWatch Metrics Charges @$0.30 per custom metric = 70 * $0.30 = $21

  Monthly CloudWatch charges = $21 per month

  Once you exceed 10,000 total metrics then volume pricing tiers will apply - see metrics pricing table for details.

• Example 2 - Cross-account observability

  If you have an application that receives 2,000 incoming requests per hour and you’re using a 10% sampling rate, then your traces recorded in your source account X will be:

  Traces Recorded per Month = 2,000 requests per hour x 24 hours x 31 days x 10% = 148,800 traces

  Billable Traces Recorded per Month = 148,800 traces - 100,000 traces in free tier = 48,800 traces

  Monthly Traces Recorded Bill = 48,800 traces * $0.000005 = $0.244
  
  If you share your traces from your source account X with a monitoring account Y using cross-account observability, this will create a copy of your traces on monitoring account Y which will come with no extra cost on your bill. So your monthly bill will be:

  Monthly traces recorded bill on source account X = $0.244
  Monthly traces recorded bill on monitoring account Y = $0

  If you want to share the same traces from source account X with a second monitoring account, let’s say monitoring account Z, this will create an additional copy of your traces. In this case your source account, account X will be charged for this additional copy. So your final bill on source account X will be:

  Monthly traces recorded bill on source account X = $0.244 +
  148,800 second trace copy on monitoring account Z * $0.000005 = $0.244 + $0.744 = $0.988
  Monthly traces recorded bill on monitoring account Y = $0
  Monthly traces recorded bill on monitoring account Z = $0
  

• Example 3 - Custom metrics

  If your application runs on 51,000 Amazon EC2 instances 24x7 for a 30-day month, and you published 5 custom metrics via the PutMetricData API, your charges would be as follows:

  Total number of metrics = 5 metrics per instance * 51,000 instances = 255,000 metrics
  First 10,000 custom metrics @$0.30 per metric = 10,000 * $0.30 = $3,000
  10,001 to 250,000 custom metrics @$0.10 per metric = 240,000 * $0.10 = $24,000
  250,001 to 255,000 custom metrics @0.05 per metric = 5000 * $0.05 = $250
  Monthly CloudWatch custom metrics charges = $3000 + $24000 + $250 = $27,250 per month

  Total number of API requests = 51,000 instances * (43,200 minutes/5 minutes) = 440,640,000 requests
  First 1,000,000 API requests = $0
  1,000,001 to 440,640,000 API requests = 439,640,000/1,000 * $0.01 = $4,396.40

  Monthly CloudWatch charges = $27,250 + $4,396.40 = $31,646.40 per month

• Example 4 - S3 Replication metrics

  If your S3 bucket has 5 replication rules enabled with S3 Metrics and Notifications enabled or S3 Replication Time Control (RTC) for each rule, you charges will be as follows:
  
  Total number of replication metrics = 3 metrics per replication rule * 5 replication rules = 15 replication metrics
  First 10,000 custom metrics at $0.30 per metric = 15 * $0.30 = $4.5
  
  Monthly CloudWatch charges = $4.5 per month
  
  (Note: For S3 Replication metrics you are not charged for API requests)
  

• Example 5 - Monitoring with logs

  If you are monitoring HTTP 2xx, 3xx & 4xx response codes using web application access logs 24x7 for one 30-day month, by sending 1GB per day of ingested log data, monitoring for HTTP responses, and archiving the data for one month, your charges would be as follows:

  Monthly Ingested Log Charges
  Total log data ingested = 1GB * 30 days = 30GB
  0 to 5GB = $0
  5 to 30GB = $0.50 * 25 = $12.50

  Monthly Monitoring Charges
  3 CloudWatch Metrics @$0 = 3 * $0 = $0

  Monthly Archived Log Charges (assume log data compresses to 6GB)
  0 to 5GB = $0
  5GB to 6GB = $0.03 * 1 = $0.03

  Monthly CloudWatch Charges = $12.50 + $0 + $0.03 = $12.53

• Example 6 - Monitoring VPC flow logs delivered to CloudWatch logs

  If you are monitoring VPCs that send 72TB of ingested VPC flow logs to CloudWatch logs per month and archiving the data for one month, your charges would be as follows:

  Monthly Log Ingestion Charges
  0 to 10TB @$0.50 per GB = 10 * 1,024 * $0.50 = $5,120.00
  10TB to 30TB @$0.25 per GB = 20 * 1,024 * $0.25 = $5,120.00
  30TB to 50TB @$0.10 per GB = 20 * 1,024 * $0.10 = $2,048.00
  50TB to 72TB @$0.05 per GB = 22 * 1024 * $0.05 = $1,126.40
  Total Ingestion Charges = $5,120 + $5,120 + $2,048 + $1126.40 = $13,414.40

  Monthly Log Archival Charges (Assume log data compresses to 30TB)
  30TB @ $0.03 per GB = 30 * 1024 * 0.03 = $921.6

  Monthly CloudWatch Charges = $13,414.40 + $921.6 = $14,336
  
  

• Example 7 – Monitoring VPC flow logs delivered to S3

  If you are monitoring VPCs that send 72TB of ingested VPC flow logs in the optional Apache Parquet format directly to S3 per month and archiving the data for one month, your charges would be as follows:

  Monthly Log Ingestion Charges
  0 to 10TB @$0.25 per GB = 10 * 1,024 * $0.25 = $2,560.00
  10TB to 30TB @$0.15 per GB = 20 * 1,024 * $0.15 = $3,072.00
  30TB to 50TB @$0.075 per GB = 20 * 1,024 * $0.075 = $1,536.00
  50TB to 72TB @$0.05 per GB = 22 * 1024 * $0.05 = $1,126.40
  Total Ingestion Charges = $2,560 + $3,072 + $1,536 + $1126.40 = $8,294.40

  Monthly Apache Parquet Format Conversion Charges (optional)
  72TB @$0.03 per GB = 72 * 1,024 * $0.03 = $2,211.84
  

  Monthly Log Archival Charges (Assume log data compresses to 6.5TB)* *
  6.5TB @ $0.023 per GB = 6.5 * 1024 * 0.023 = $153.01

  Monthly Charges = $8,294.40 + $153.01 + $2,211.84 = $10,659.25
  

• Example 8 - Detecting and masking sensitive log data with Data Protection

  In this scenario, you are enabling ongoing data protection for a log group that collects 1 GB of log data per month from a payment processing application.

  Monthly Ingested Log Charges
  Total log data ingested = 1 GB * 30 days = 30 GB
  Charges for log data ingestion (0 to 5 GB): = $0
  Charges for log data ingestion (5 to 30 GB) = $0.50 * 25 = $12.50

  Data Protection Charges for Scanning, Detecting, and Masking Sensitive Data
  Total log data scanned with data protection = 1 GB * 30 days = 30 GB
  Charges for log data scanned = $0.12 per GB * 30 GB = $3.60

  Monthly Archived Log Charges (assume log data compresses to 6 GB)
  Charges for 0 to 5 GB = $0
  Charges for 5 GB to 6 GB = $0.03 * 1 GB = $0.03
  Monthly CloudWatch Charges = $12.50 + $3.60 + $0.03 = $16.13
  
  

• Example 9 - Monitoring VPC Flow Logs delivered to Amazon Kinesis Data Firehose

  The example considers pricing region as US East (N. Virginia). If you are monitoring VPCs that send 72TB of ingested VPC flow logs directly to Amazon Kinesis Data Firehose per month, your charges would be as follows:

  Monthly Log Delivery Charges
  0 to 10TB @$0.25 per GB = 10 * 1,024 * $0.25 = $2,560.00
  10TB to 30TB @$0.15 per GB = 20 * 1,024 * $0.15 = $3,072.00

  30TB to 50TB @$0.075 per GB = 20 * 1,024 * $0.075 = $1,536.00
  50TB to 72TB @$0.05 per GB = 22 * 1024 * $0.05 = $1,126.40

  Total Delivery Charges = $2,560 + $3,072 + $1,536 + $1126.40 = $8,294.40

  Monthly KDF ingestion charges
  Per GB processed to VPC = 72 * 1,024 * $0.13 = $9584.64

  Total Monthly charges = $8294.40 + $9584.64 = $17879.04 

• Example 10 - Alarming with Anomaly Detection

  If you enable Amazon CloudWatch Anomaly Detection on 10 standard resolution metrics per month and only want to alarm on 5 of those metrics, you will create 5 standard resolution anomaly detection alarms. Anomaly Detection is available with standard resolution alarms only. Your monthly bill is calculated as follows:

  Total number of standard resolution anomaly detection alarms = 5

  Alarms are billed based on the number of metrics per alarm. For every anomaly detection alarm, there are three standard resolution metrics per alarm. One is the actual metric being evaluated, the second is the upper bound of expected behavior, and the third is the lower bound of the expected behavior.

  One standard resolution anomaly detection alarm = $0.10 * 3 standard resolution metrics per alarm = $0.30 per month

  Five standard resolution anomaly detection alarms = $0.30 per standard resolution anomaly detection alarm * 5 alarms = $1.50 per month

  Monthly CloudWatch charges = $1.50 per month

  Pricing values displayed here are based on US East Regions. Please refer to pricing tabs for most current pricing information for your respective region(s). Anomaly Detection is currently available in all commercial AWS Regions.
  

• Example 11 - Container Insights for Amazon ECS

  If you monitor 1 container cluster with 10 Amazon EC2 instances, 50 average running containers, 20 unique task names, and 5 unique service names, your costs would be as follows:

  CloudWatch metrics

  There is a predefined number of metrics reported for every cluster, task, and service. Every cluster reports 8 metrics; every task reports 6 metrics; and every service reports 11 metrics. CloudWatch metrics are aggregated by task and service using their name. Increasing the count of running instances will not impact the count of CloudWatch metrics generated. All CloudWatch metrics are prorated on an hourly basis. This example assumes that data points are reported for the entire month.

   

  Monthly number of CloudWatch metrics per cluster

  = 8 cluster metrics + (6 task metrics * 20 unique task names) + (11 service metrics * 5 unique service names)

  = 8 + (6 * 20) + (11 * 5)

  = 183 CloudWatch metrics

   

  Monthly CloudWatch metrics costs = $0.30 per metric for first 10,000 metrics * 183 metrics = $54.90

   

  Once you exceed 10,000 total metrics then volume pricing tiers will apply - see metrics pricing table for details.

  CloudWatch Logs

  For Amazon ECS, on average, 13 KB are ingested per metric per hour. The cost of logs ingested will vary based on names used for your cluster, container, pod, service, instance names, labels, etc.

   

  Monthly GB of CloudWatch Logs ingested = (13 KB/1024/1024) GB * 183 metrics * 730 average hours in a month = 1.66 GB per month

   

  Monthly ingested logs costs = $0.50 per GB of ingested logs * 1.66 GB of performance events as CloudWatch Logs = $0.83 per month

   

  Monthly CloudWatch costs = $54.90 + $0.83 = $55.73 per month.
  

   

  Pricing values displayed here are based on US East (N. Virginia) AWS Regions. Please refer to the pricing information for your Region.

• Example 12 - Container Insights for Amazon EKS and Kubernetes (k8s)

  If you monitor 1 container cluster with 10 nodes or Amazon EC2 instances, 20 pods, 5 unique service names, and 1 namespace, your charges would be as follows:

  CloudWatch metrics

  There is a predefined number of metrics reported for every cluster, node, pod, and service. Every cluster reports 24 metrics; every node reports 8 metrics; every pod reports 9 metrics; and every service reports 6 metrics. CloudWatch metrics are aggregated by pod, service, and namespace using their name. Increasing the count of running instances will not impact the count of CloudWatch metrics generated. All CloudWatch metrics are prorated on an hourly basis. This example assumes that data points are reported for the entire month.

   

  Monthly number of CloudWatch metrics per cluster

  = 24 cluster metrics + (10 nodes or EC2 instances * 8 node metrics) + (20 unique pod names * 9 pod metrics * 1 namespace) + (5 unique service names * 6 service metrics * 1 namespace) + (1 unique namespace * 6 namespace metrics)

  = 24 + (10 * 8) + (20 * 9 * 1) + (5 * 6 * 1) + (1 * 6) = 320 CloudWatch metrics

   

  Monthly CloudWatch metrics costs = $0.30 per metric for first 10,000 metrics * 320 metrics = $96

   

  Once you exceed 10,000 total metrics then volume pricing tiers will apply - see metrics pricing table for details.

  CloudWatch Logs

  For Kubernetes, on average, 38 KB are ingested per metric per hour. The cost of logs ingested will vary based on names used for your cluster, container, pod, service, instance names, labels, etc.

   

  Monthly GB of CloudWatch Logs ingested = (38 KB/1024/1024) GB * 320 metrics * 730 average hours in a month = 8.47 GB per month
  

   

  Monthly ingested logs costs = $0.50 per GB of ingested logs * 8.47 GB of performance events as CloudWatch Logs = $4.23 per month

   

  Monthly CloudWatch costs = $96 + $4.23 = $100.23 per month.

   

  Pricing values displayed here are based on US East (N. Virginia) AWS Regions. Please refer to the pricing information for your Region.

• Example 13 - Monitoring your application with ServiceLens

  If you monitor an application that contains APIs (using Amazon API Gateway), 1 container cluster with 10 nodes or Amazon EC2 instances, 20 pods, 5 unique service names, and 1 namespace, 3 Lambda functions, and 1 DynamoDB table, your charges would be as follows:

  CloudWatch metrics
  APIs, Lambdas, and DynamoDB: Metrics from these AWS services are available with no additional charge.

  Kubernetes: As described in Example 7, there is a predefined number of metrics reported for every cluster, node, pod, and service (to learn more, see Kubernetes on AWS). Every cluster reports 24 metrics; every node reports 8 metrics; every pod reports 9 metrics; and every service reports 6 metrics. CloudWatch metrics are aggregated by pod, service, and namespace using their name. Increasing the count of running instances will not impact the count of CloudWatch metrics generated. All CloudWatch metrics are prorated on an hourly basis. This example assumes that data points are reported for the entire month.

  Monthly number of CloudWatch metrics per cluster
  = 24 cluster metrics + (10 nodes or EC2 instances * 8 node metrics) + (20 unique pod names * 9 pod metrics * 1 namespace) + (5 unique service names * 6 service metrics * 1 namespace) + (1 unique namespace * 6 namespace metrics)
  = 24 + (10 * 8) + (20 * 9 * 1) + (5 * 6 * 1) + (1 * 6) = 24 + 80 + 180 + 30 + 6 = 320 CloudWatch metrics

  Monthly CloudWatch metrics costs = $0.30 per metric for first 10,000 metrics * 320 metrics = $96. Once you exceed 10,000 total metrics then volume pricing tiers will apply - see metrics pricing table for details.

  CloudWatch Logs
  APIs and Lambdas: For API Gateway Logs or Lambda Logs ingested in CloudWatch, the Monthly ingested logs costs = $0.50 per GB of ingested logs * 50 GB of performance events as CloudWatch Logs = $25 per month.

  AWS X-Ray
  If the application receives 2,000 incoming requests per hour and you’re using a 10% sampling rate, then your cost would be calculated as follows:

  Traces Recorded
  Traces Recorded per Month = 2,000 requests per hour x 24 hours x 31 days x 10% = 148,800 traces
  Billable Traces Recorded per Month = 148,800 traces - 100,000 traces in free tier = 48,800 traces
  Monthly Traces Recorded Charges = 48,800 traces * $0.000005 = $0.24

  In addition, let’s assume you make 100 queries scanning each hour of data captured (200 traces), and retrieve the full trace data for 50 traces per query.

  Traces Retrieved and Scanned
  Traces Scanned per Month = 100 queries x 200 traces per hour x 31 days = 620,000 traces
  Traces Retrieved per Month = 100 queries x 50 traces per query x 31 days = 155,000 traces
  Total Traces Retrieved/Scanned per Month = 155,000 traces + 620,000 traces = 775,000 traces
  Since the first 1,000,000 traces retrieved or scanned each month are free with AWS X-Ray, it costs $0 to retrieve and scan 775,000 traces.

  Your total cost per month for using AWS X-Ray equals $0.24 for traces recorded.

  Monthly Monitoring costs = $96 + 25+ $4.23 + $0.24 = $125.47 per month.

  Pricing values displayed here are based on US East (N. Virginia) AWS Regions. Please refer to the pricing information for your Region.

• Example 14 - Monitoring with Contributor Insights

  If you are monitoring Amazon VPC Flow Logs with a volume of 225 billion Log Events to CloudWatch Logs per month, and you have three Contributor Insights rules that match 100 percent, 50 percent, and 10 percent of these log events respectively, your charges will be as follows:

  Rule Charges
  Total number of rules = 3 rules
  First Contributor Insights rule = $0
  2 Contributor Insights rules @ $0.50 per rule = $1.00

  Matched Log Events
  Total Number of Matched Log Events = (225B * 100%) + (225 * 50%) + (225B * 10%) = 225B + 112.5B + 22.5B = 360 Billion
  0 to 1 million matched log events = $0
  1M to 360B matched log events = 359,999M * $0.02 = $7,200

  Monthly CloudWatch Charges = $1.00 + $7,200 = $7,201
  

• Example 15 – End user monitoring with Synthetics

  If you create 5 canaries that run once every 5 minutes, add alarms on 5 of the metrics generated by the canaries, and store the data for 1 month, your monthly bill will be calculated as follows:

  5 canaries * 12 runs per hour * 24 hours per day * 31 days per month = 44,640 canary runs

  Monthly CloudWatch charges

  Canary run charges = 44,640 canary runs * $0.0012 per canary run = $53.57 per month
  5 alarms per month = 5 * $0.10 = $0.50 per month
  Total monthly CloudWatch charges = $53.57 + $0.50 = $54.07

  Monthly additional charges

  Each canary run also runs an AWS Lambda function and writes logs and results to CloudWatch Logs and the designated Amazon S3 bucket. For details on AWS service pricing such as AWS Lambda, Amazon S3, and CloudWatch Logs, see the pricing section of the relevant AWS service detail pages.

  Lambda charges = requests charges + duration charges
  = requests from 44,640 runs * $0.2 per 1,000,000 + duration of 20 seconds * 44,640 canary runs * 1 GB memory size * $0.000016667 per GB per sec
  = $0.01 + $14.88 = $14.89 per month

  CloudWatch Logs charges = collection charges + storage charges
  = collection of 0.00015 GB per run * 44,640 runs * $0.5 per GB + storage of 0.00015 GB per run* 44,640 canary runs * $0.03 per GB per month
  = $3.35 + $0.20 = $3.55 per month

  S3 charges = put request charges + storage charges
  = put requests of 44,640 runs * $0.005 per 1,000 requests + storage of 0.001 GB per run * 44,640 canary runs * 1 month * $0.023 per GB per month
  = $0.22 + $1.03 = $1.25 per month

  Additional monthly charges = $14.89 + $3.55 + $1.25 = $19.69

  Total monthly charges = $54.07 + $19.69 = $73.76

  Pricing values displayed here are based on US East Regions. Please refer to pricing tabs for most current pricing information for your respective region(s).
  

• Example 16 – Alarming with composite alarms

  Composite alarms can combine any type of CloudWatch alarm. Metric alarms are billed based on the number of metrics per alarm, while composite alarms are billed per alarm unit. One composite alarm costs $0.50 per month, regardless of the number of metric alarms it combines.
  

  If you create one composite alarm that combines four standard resolution metric alarms, your monthly bill is calculated as follows:
  

  Four standard resolution alarms = $0.10 per alarm metric * 4 = $0.40 per month
  

  One composite alarm = $0.50 per month

  Monthly CloudWatch charges = $0.40 + $0.50 = $0.90 per month

• Example 17 – S3 Request Metrics

  Amazon S3 Request Metrics allow you to quickly identify and act on operational issues. There are 16 available metrics that you can configure filters for, identified by a shared prefix or object tag, and only monitor a subset of objects. The filters align your metrics to specific business applications, workflows, or internal organizations. The activity on the bucket determines which metrics are generated, so all 16 metrics may not necessarily be published every hour of the day.
  
  For example, let’s take an application that performs a backup routine every day and completes within a single hour. Because the application only makes PUT requests to S3, a subset of metrics, such as AllRequests, PutRequests, TotalRequestLatency, and BytesUploaded, are generated; metrics related to other types of operations, such as DeleteRequests, SelectRequests, and SelectReturnedBytes, would not be generated. For our example, we will assume 8 out of the 16 available metrics are generated – detailed list of metrics available in Amazon S3 documentation. Assuming the routine starts and finishes within the same hour, the charges to generate and publish these metrics to CloudWatch are:
  
  Total number of metrics = 8
  Total hours of metrics published = 1 hour per day for 30 days (assuming example month has 30 days) = 1 * 30 = 30 hours per month
  Total hours per month = 30 days * 24 hours = 720 hours per month
  First 10,000 custom metrics @$0.30 per metric = $0.30 * 8 (number of metrics) * 30 (metric hours per month) per 720 (hours per month) = $0.10 per month.
  
  Monthly CloudWatch charges for S3 Request Metrics = $0.10 per month
  Once you exceed 10,000 total metrics then volume pricing tiers will apply based on the pricing table above.
  

• Example 18 – Monitoring with Lambda Insights

  If you monitor 1 Lambda function that is invoked 1M times per month, your costs would be as follows:

  CloudWatch metrics
  There is a predefined number of metrics reported for every function. Every function reports 8 metrics. CloudWatch metrics are aggregated by function using their name. All CloudWatch metrics are prorated on an hourly basis. If your function is invoked less than once per hour, your function will only be billed for the hours that it is invoked.

  Monthly number of CloudWatch metrics per function
  = 8 metrics * 1 function
  = 8 CloudWatch metrics
  
  Monthly CloudWatch metrics costs = $0.30 per metric for first 10,000 metrics * 8 metrics = $2.40
  
  Once you exceed 10,000 total metrics in your account then volume pricing tiers will apply. See metrics pricing table for details.

  CloudWatch Logs
  A single log event is generated for each function invoke. The size of each log event is approximately 1.1 KB.

  Monthly GB of CloudWatch Logs ingested = (1.1 KB/1024/1024) GB * 1,000,000 invokes per month = 1.05 GB per month

  Monthly ingested logs costs = $0.50 per GB of ingested logs * 1.05 GB of performance events as CloudWatch Logs = $0.52 per month

  Monthly CloudWatch costs = $2.40 + $0.52 = $2.92 per month
  
  There are no minimum fees or mandatory service usage. If the function is not invoked, you do not pay.
  
  Pricing values displayed here are based on the US East (N. Virginia) AWS Region. Please refer to the pricing information for your Region.
  

• Example 19 – Metric Streams

  If your application runs 24x7 for a 30-day month and emits 10,000 metric updates every minute, and your CloudWatch metric stream sends data to a partner HTTP endpoint via a Kinesis Data Firehose delivery stream in US East, your monthly charges would be as follows:

  CloudWatch Metric Streams
  Total number of metric updates = 10,000 metric updates per minute * 43,200 minutes in the month = 432,000,000 metric updates per month
  432,000,000 metric updates @ $0.003 per 1,000 metric updates = $1,296 per month
  Monthly CloudWatch Charges = $1,296 per month

  Kinesis Data Firehose
  Kinesis Data Firehose data ingested (GB per month) = 432,000,000 metric updates * 0.5KB (assumed average size per metric update) / 1,048,576 KB/GB = 206GB / month
  The Kinesis Data Firehose price in US-East is $0.029 per GB of Data Ingested for the first 500 TB/month = 206GB * $0.029 = $5.97 per month
  Kinesis Data Firehose Charges = $5.97 per month

  Data Out (Kinesis Data Firehose HTTP Endpoint to Monitoring Partner)
  Up to 9.999 TB per month @ $0.09 per GB (since the first GB is free, we will remove 1 GB from the price calculation) = 205 GB * $0.09 = $18.45
  Data Out Charges = $18.45 per month

  Total Monthly Charges = $1,296 per month + $5.97 per month + $18.45 per month = $1,320.42 per month

  Note: Pricing values displayed here are based on US East (N. Virginia) AWS Regions. Please refer to the pricing information for your Region.
  

• Example 20 – Assignments (traffic splitting) with Evidently

  Let’s say you run one traffic-splitting campaign where you’re serving two features (old version and new version) for user traffic of 200,000 total page views per month at 100% sampling rate. You don’t need analysis. Your application generates one assignment event per page view, where an assignment is an Evidently API call determining which user will see which feature (in other words, traffic split). Your charges will be:

  Evidently Event Charges
  Total number of Evidently events (assignments) = 200,000 views * 1 Evidently event per page view = 200,000 Evidently events
  200,000 assignment Evidently events @ $5 per million Evidently events = $1.00

  Monthly CloudWatch Evidently Charges = $1.00
   

• Example 21 – Launch monitoring with Evidently

  Let’s say you run two launches serving two feature variations each for user traffic of 200,000 total page views per month at 100% sampling rate. You want to monitor three metrics that are generated from each data event (i.e. three rule matches). Your application generates one assignment event per page view, where an assignment is an Evidently API call determining which user will see which feature (traffic split). It also generates two data events per page view (such as user clicks). Your charges will be:

  Evidently Event Charges
  For assignments, number of Evidently events = 200,000 views * 1 Evidently event per page view * 2 launches = 400,000 Evidently events
  For data events, number of Evidently events = 200,000 views * 2 Evidently events per page view = 400,000 data Evidently events
  Total Evidently events = assignment Evidently events + data Evidently events = 400,000 + 400,000 = 800,000
  800,000 Evidently events @ $5 per million Evidently events = $4.00

  Evidently Analysis Units Charges
  Number of Evidently metrics = 2 launches * 3 metrics = 6 metrics
  Number of Evidently analysis units = 6 metrics* 400,000 data Evidently events = 2,400,000
  Analysis charges = 2,400,000 Evidently analysis units @ $7.50 per million Evidently analysis units = $18.00

  Monthly CloudWatch Evidently Charges = event charges + analysis charges = $4.00 + $18.00 = $22.00

  CloudWatch metrics charge = 12 metrics * $0.30 = $3.60
  (CloudWatch metrics are per variation – 6 Evidently metrics * 2 variations)
   

• Example 22 – Experiments and launch monitoring with Evidently

  Let’s say you run two launches and three experiments serving two feature variations each for user traffic of 200,000 total page views per month at 100% sampling rate. You want to monitor three metrics that are generated from each data event (i.e. three rule matches). Your application generates one assignment event per page view, where an assignment is an Evidently API call that says which user will see which feature (traffic split). It also generates two data events per page view (such as user clicks). Your charges will be:

  Evidently Event Charges
  For assignments, number of Evidently events = 200,000 views *1 Evidently event per page view * (2 launches+3 experiments) = 1,000,000 Evidently events
  For data events, number of Evidently events = 200,000 views * 2 Evidently events per page view = 400,000 data Evidently events
  Total Evidently events = 1,000,000 Evidently events (assignment) + 400,000 Evidently events (data) = 1,400,000
  1,400,000 Evidently events @ $5 per million Evidently events = $7.00

  Evidently Analysis Units Charges
  Number of Evidently metrics = (2 launches + 3 experiments) * 3 metrics = 15 metrics
  Number of Evidently analysis units = 15 metrics * 400,000 data Evidently events = 6,000,000
  Analysis charges = 6,000,000 Evidently analysis units @ $7.50 per million Evidently analysis units = $45.00

  Monthly CloudWatch Evidently Charges = event charges + analysis charges = $7.00 + $45.00 = $52.00

  CloudWatch metrics charge = 30 metrics * $0.30 = $9.00
  (CloudWatch metrics are per variation – 15 Evidently metrics * 2 variations)
   

• Example 23 – CloudWatch RUM

  If your application has 500,000 visits in a month, and you’re collecting CloudWatch RUM events at 100% sampling for page load performance and errors with 20 data events — including one start event, one page view event, and 10 performance events (three web vitals, one paint, one navigation, five resource loads), and eight errors per visit — your charges would be as follows:

  Total number of RUM data events = 20 data events/visit * 500,000 visits = 10,000,000 data events
  Charges for 10,000,000 RUM data events @ $1 per 100,000 data events = 10,000,000* $1/100,000 = $100

  Monthly CloudWatch RUM data events charges = $100 per month
   

• Example 24 – Metrics Insights

  If you run Metrics Insights queries through the CloudWatch console, it incurs no charge to you. 

  When you run your Metrics Insights queries programmatically using AWS CLI, SDK, or AWS CloudFormation, your query is charged based on the number of metrics analyzed, regardless of how you output the results.

  If you have 1,000,000 metrics in your account and run a query that selects 1,500 metrics for analysis and that analysis returns 10 time series in the results then your charge will be as follows:
  

  Query charge = 1,500 metrics analyzed * $0.01 per 1,000 metrics analyzed = $0.015

  If you have 5,000,000 metrics in your account and run a query that selects 100 metrics for analysis and that analysis returns only 1 time series in the results then your charge will be as follows:

  Query charge = 100 metrics analyzed * $0.01 per 1,000 metrics analyzed = $0.001
  

• Example 25 – CloudWatch Alarms with Metrics Insights queries and monthly cost pro-rating

  With AWS, you build an application that runs 24/7 for several months and uses autoscaled EC2 instances. You monitor your EC2 instances with a Metrics Insights query to get alerted when the average of CPU usage across all your EC2 instances goes above an 80% threshold.
  
  In the month of July, your application consistently uses 3 instances.
  
  In the month of August, your application scales up to 4 instances on the 16th August at 00:00 UTC and keeps on using 4 instances until the end of the month.

  To calculate monthly costs for alarms
  In July (which is a 31 day month), you use your alarm continuously every day. The math expression shows how to calculate the monthly cost for a standard-resolution alarm retrieving the average from 3 metrics through a Metrics Insights query.
  
  1 (alarm) x 3 (number of metrics analyzed by the Metrics Insights query) x $0.10 (cost per metric analyzed per alarm) = $0.30

  The total cost of this alarm for July is $0.30.
  
  To calculate monthly prorated costs for alarms
  In August (which is a 31 day month), you use your alarm continuously every day. The math expression shows how to calculate the monthly cost for a standard-resolution alarm retrieving the average from 3 metrics through a Metrics Insights query for 15 days, then retrieving the average from 4 metrics through a Metrics Insights query for 16 days.

  For 360 hours (from the 1st day at 00:00 UTC to the 15th day at 23:59 UTC), your standard-resolution alarm evaluates the average from 3 metrics through a Metrics Insights query, the costs for that period are:
  
  1 (alarm) x 3 (number of metrics analyzed by the Metrics Insights query) x 360 / 744 (pro-rating on the number of hours in the month) x $0.10 (cost per metric analyzed per alarm) = $0.15
  
  For 384 hours (from the 16th day at 00:00 UTC to the 31st day at 23:59 UTC), your standard-resolution alarm evaluates the average from 4 metrics through a Metrics Insights query, the costs for that period are:

  1 (alarm) x 4 (number of metrics analyzed by the Metrics Insights query) x 384 / 744 (pro-rating on the number of hours in the month) x $0.10 (cost per metric analyzed per alarm) = $0.21

  The total cost of this alarm for August is $0.15 + $0.21 = $0.36.

  Please note that all alarms costs are prorated, regardless of whether they use a Metrics Insight query or not. You can apply the same pro-rating logic to project the cost for an alarm that is created, deleted, or modified to add or remove metrics, during the month.