Lookout for Metrics quotas - Amazon Lookout for Metrics
QuotasData retention time periods for re-trainingColdstart anomaly detectionFile sizeBacktesting data requirementsRecord field key-value pair character limits

Amazon Lookout for Metrics is no longer available to new customers. Existing Amazon Lookout for Metrics customers will be able to use the service until September 12, 2025, when we will end support for Amazon Lookout for Metrics. To help transition off of Amazon Lookout for Metrics, please read Transitioning off Amazon Lookout for Metrics.

Lookout for Metrics quotas

Amazon Lookout for Metrics sets quotas for the amount of data that a detector can use to learn and detect anomalies. There are also quotas for data import intervals, records processing, and Amazon Lookout for Metrics API requests. Additionally, there are data requirements for data retention for re-training, coldstart anomaly detection, backtesting, time series, and record field key value pairs.

Quotas set by other services can impact operation. For information on quotas for other services such as Amazon CloudWatch, see AWS service quotas in the Amazon Web Services General Reference.

Quotas

Resource Default quota Adjustable
Quotas for detectors

Maximum number of detectors

10

Yes

Maximum number of alerts for a detector

10

Yes
Maximum number of files you can upload per interval

5-minute interval

5 files

Yes

10-minute interval

5 files

Yes

1-hour interval

10 files

Yes

1-day interval

10 files

Yes
Maximum number of records Lookout for Metrics can process per interval

5-minute interval

15000 records

Yes

10-minute interval

24000 records

Yes

1-hour interval

150000 records

Yes

1-day interval

150000 records

Yes
Maximum number of API requests per second

Each second

10 requests

Yes

Maximum number of datasets for a detector

1 dataset

Yes
Quotas for datasets

Maximum number of dimensions for a dataset

10 dimensions

No

Maximum number of measures for a dataset

10 measures

No
Quotas for historical data

Maximum intervals (continuous mode)

2500

No

Maximum intervals (backtest mode)

3000

No

Maximum number of files in historical data

3000

No
Maximum number of metrics Lookout for Metrics can process per detector

5-minute interval

5000 metrics

No

10-minute interval

10000 metrics

No

1-hour interval

50000 metrics

Yes

1-day interval

50000 metrics

Yes

To request a quota increase, use the Service Quotas console and follow the steps in the Requesting a quota increase section of the Service Quotas User Guide.

Data retention time periods for re-training

The amount of time you should retain your data for re-training depends on the interval of your data collection as follows:

Interval Maximum time Average time
5 minutes 9 days 4.5 days
10 minutes 18 days 9 days
1 hour 3.4 months 2 months
1 day 5 years 2 years

Coldstart anomaly detection

For coldstart anomaly detection (no historical data), the amount of time it takes for Lookout for Metrics to detect anomalies depends on the interval of your data collection as follows:

  • 5 minute interval – 25 hours

  • 10 minute interval – 50 hours

  • 1 hour interval – 4 days

  • 1 day interval – 14 days

File size

The amount of data that the detector can process for an interval is limited. You can reduce the size of files by aggregating records or by removing fields that are not used as measures or dimensions.

  • 5 minute interval – 200 MB

  • 10 minute interval – 200 MB

  • 1 hour interval – 200 MB

  • 1 day interval – 200 MB

Backtesting data requirements

The ratio of training and testing data used for backtesting is 70% training and 30% testing. Amazon Lookout for Metrics allows a maximum of 3000 intervals of data, therefore the maximum number of data points you will see for backtesting is 900. The number of days of data Lookout for Metrics considers for backtesting depends on the interval of your data collection as follows:

  • 5 minute interval – 3.125 days, with 12 data points per hour and 288 data points per day.

  • 10 minute interval – 6.25 days, with 6 data points per hour and 144 data points per day.

  • 1 hour interval – 37.5 days, with 1 data point per hour and 24 points per day.

  • 1 day interval – 900 days, with 1 data point per day.

The minimum amount of data required for backtesting depends on the interval of your data collection as follows:

  • 5 minute interval – ~1 day of data.

  • 10 minute interval – 1.9 days of data.

  • 1 hour interval – 11.8 days of data.

  • 1 day interval – 285 days of data.

Record field key-value pair character limits

Character limits for record field key value pairs are as follows:

  • Dimensions key – 63 characters

  • Dimension value – 40 characters

  • Timestamp key – 63 characters

  • Measure value – 10^15 with precision of 4 after decimal point