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The AWS Java SDK for Amazon CloudWatch module holds the client classes that are used for communicating with Amazon CloudWatch Service

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Amazon CloudWatch monitors your Amazon Web Services (AWS) resources and the applications you run on AWS in real time. You can use CloudWatch to collect and track metrics, which are the variables you want to measure for your resources and applications.

CloudWatch alarms send notifications or automatically change the resources you are monitoring based on rules that you define. For example, you can monitor the CPU usage and disk reads and writes of your Amazon EC2 instances. Then, use this data to determine whether you should launch additional instances to handle increased load. You can also use this data to stop under-used instances to save money.

In addition to monitoring the built-in metrics that come with AWS, you can monitor your own custom metrics. With CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health.

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In the event of an error, no alarms are deleted.

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To get out of such a situation, you must break the cycle by changing the rule of one of the composite alarms in the cycle to remove a dependency that creates the cycle. The simplest change to make to break a cycle is to change the AlarmRule of one of the alarms to False.

Additionally, the evaluation of composite alarms stops if CloudWatch detects a cycle in the evaluation path.

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Deletes the specified anomaly detection model from your account.

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Deletes all dashboards that you specify. You may specify up to 100 dashboards to delete. If there is an error during this call, no dashboards are deleted.

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Permanently deletes the specified Contributor Insights rules.

If you create a rule, delete it, and then re-create it with the same name, historical data from the first time the rule was created may or may not be available.

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Retrieves the history for the specified alarm. You can filter the results by date range or item type. If an alarm name is not specified, the histories for either all metric alarms or all composite alarms are returned.

CloudWatch retains the history of an alarm even if you delete the alarm.

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Retrieves the specified alarms. You can filter the results by specifying a a prefix for the alarm name, the alarm state, or a prefix for any action.

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Retrieves the alarms for the specified metric. To filter the results, specify a statistic, period, or unit.

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Lists the anomaly detection models that you have created in your account. You can list all models in your account or filter the results to only the models that are related to a certain namespace, metric name, or metric dimension.

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Returns a list of all the Contributor Insights rules in your account. All rules in your account are returned with a single operation.

For more information about Contributor Insights, see Using Contributor Insights to Analyze High-Cardinality Data.

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Disables the actions for the specified alarms. When an alarm's actions are disabled, the alarm actions do not execute when the alarm state changes.

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Disables the specified Contributor Insights rules. When rules are disabled, they do not analyze log groups and do not incur costs.

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Enables the actions for the specified alarms.

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Enables the specified Contributor Insights rules. When rules are enabled, they immediately begin analyzing log data.

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Displays the details of the dashboard that you specify.

To copy an existing dashboard, use GetDashboard, and then use the data returned within DashboardBody as the template for the new dashboard when you call PutDashboard to create the copy.

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This operation returns the time series data collected by a Contributor Insights rule. The data includes the identity and number of contributors to the log group.

You can also optionally return one or more statistics about each data point in the time series. These statistics can include the following:

  • UniqueContributors -- the number of unique contributors for each data point.

  • MaxContributorValue -- the value of the top contributor for each data point. The identity of the contributor may change for each data point in the graph.

    If this rule aggregates by COUNT, the top contributor for each data point is the contributor with the most occurrences in that period. If the rule aggregates by SUM, the top contributor is the contributor with the highest sum in the log field specified by the rule's Value, during that period.

  • SampleCount -- the number of data points matched by the rule.

  • Sum -- the sum of the values from all contributors during the time period represented by that data point.

  • Minimum -- the minimum value from a single observation during the time period represented by that data point.

  • Maximum -- the maximum value from a single observation during the time period represented by that data point.

  • Average -- the average value from all contributors during the time period represented by that data point.

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You can use the GetMetricData API to retrieve as many as 500 different metrics in a single request, with a total of as many as 100,800 data points. You can also optionally perform math expressions on the values of the returned statistics, to create new time series that represent new insights into your data. For example, using Lambda metrics, you could divide the Errors metric by the Invocations metric to get an error rate time series. For more information about metric math expressions, see Metric Math Syntax and Functions in the Amazon CloudWatch User Guide.

Calls to the GetMetricData API have a different pricing structure than calls to GetMetricStatistics. For more information about pricing, see Amazon CloudWatch Pricing.

Amazon CloudWatch retains metric data as follows:

  • Data points with a period of less than 60 seconds are available for 3 hours. These data points are high-resolution metrics and are available only for custom metrics that have been defined with a StorageResolution of 1.

  • Data points with a period of 60 seconds (1-minute) are available for 15 days.

  • Data points with a period of 300 seconds (5-minute) are available for 63 days.

  • Data points with a period of 3600 seconds (1 hour) are available for 455 days (15 months).

Data points that are initially published with a shorter period are aggregated together for long-term storage. For example, if you collect data using a period of 1 minute, the data remains available for 15 days with 1-minute resolution. After 15 days, this data is still available, but is aggregated and retrievable only with a resolution of 5 minutes. After 63 days, the data is further aggregated and is available with a resolution of 1 hour.

If you omit Unit in your request, all data that was collected with any unit is returned, along with the corresponding units that were specified when the data was reported to CloudWatch. If you specify a unit, the operation returns only data data that was collected with that unit specified. If you specify a unit that does not match the data collected, the results of the operation are null. CloudWatch does not perform unit conversions.

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Gets statistics for the specified metric.

The maximum number of data points returned from a single call is 1,440. If you request more than 1,440 data points, CloudWatch returns an error. To reduce the number of data points, you can narrow the specified time range and make multiple requests across adjacent time ranges, or you can increase the specified period. Data points are not returned in chronological order.

CloudWatch aggregates data points based on the length of the period that you specify. For example, if you request statistics with a one-hour period, CloudWatch aggregates all data points with time stamps that fall within each one-hour period. Therefore, the number of values aggregated by CloudWatch is larger than the number of data points returned.

CloudWatch needs raw data points to calculate percentile statistics. If you publish data using a statistic set instead, you can only retrieve percentile statistics for this data if one of the following conditions is true:

  • The SampleCount value of the statistic set is 1.

  • The Min and the Max values of the statistic set are equal.

Percentile statistics are not available for metrics when any of the metric values are negative numbers.

Amazon CloudWatch retains metric data as follows:

  • Data points with a period of less than 60 seconds are available for 3 hours. These data points are high-resolution metrics and are available only for custom metrics that have been defined with a StorageResolution of 1.

  • Data points with a period of 60 seconds (1-minute) are available for 15 days.

  • Data points with a period of 300 seconds (5-minute) are available for 63 days.

  • Data points with a period of 3600 seconds (1 hour) are available for 455 days (15 months).

Data points that are initially published with a shorter period are aggregated together for long-term storage. For example, if you collect data using a period of 1 minute, the data remains available for 15 days with 1-minute resolution. After 15 days, this data is still available, but is aggregated and retrievable only with a resolution of 5 minutes. After 63 days, the data is further aggregated and is available with a resolution of 1 hour.

CloudWatch started retaining 5-minute and 1-hour metric data as of July 9, 2016.

For information about metrics and dimensions supported by AWS services, see the Amazon CloudWatch Metrics and Dimensions Reference in the Amazon CloudWatch User Guide.

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You can use the GetMetricWidgetImage API to retrieve a snapshot graph of one or more Amazon CloudWatch metrics as a bitmap image. You can then embed this image into your services and products, such as wiki pages, reports, and documents. You could also retrieve images regularly, such as every minute, and create your own custom live dashboard.

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Returns a list of the dashboards for your account. If you include DashboardNamePrefix, only those dashboards with names starting with the prefix are listed. Otherwise, all dashboards in your account are listed.

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List the specified metrics. You can use the returned metrics with GetMetricData or GetMetricStatistics to obtain statistical data.

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Creates an anomaly detection model for a CloudWatch metric. You can use the model to display a band of expected normal values when the metric is graphed.

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If you are using temporary security credentials granted using AWS STS, you cannot stop or terminate an EC2 instance using alarm actions.

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Publishes metric data points to Amazon CloudWatch. CloudWatch associates the data points with the specified metric. If the specified metric does not exist, CloudWatch creates the metric. When CloudWatch creates a metric, it can take up to fifteen minutes for the metric to appear in calls to ListMetrics.

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Although the Value parameter accepts numbers of type Double, CloudWatch rejects values that are either too small or too large. Values must be in the range of -2^360 to 2^360. In addition, special values (for example, NaN, +Infinity, -Infinity) are not supported.

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                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.

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                                The time stamp indicating the earliest data to be returned.

                                The value specified is inclusive; results include data points with the specified time stamp.

                                CloudWatch rounds the specified time stamp as follows:

                                • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.

                                \n@return The time stamp indicating the earliest data to be returned.

                                The value specified is inclusive; results include data points with the specified time stamp.

                                CloudWatch rounds the specified time stamp as follows:

                                • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.\n@deprecated Use {@link #startTime()}\n", "deprecatedName" : null, "deprecatedSetterDocumentation" : "

                                The time stamp indicating the earliest data to be returned.

                                The value specified is inclusive; results include data points with the specified time stamp.

                                CloudWatch rounds the specified time stamp as follows:

                                • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.

                                \n@param startTime The time stamp indicating the earliest data to be returned.

                                The value specified is inclusive; results include data points with the specified time stamp.

                                CloudWatch rounds the specified time stamp as follows:

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                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.\n@return Returns a reference to this object so that method calls can be chained together.\n@deprecated Use {@link #startTime(Instant)}\n", "documentation" : "

                                The time stamp indicating the earliest data to be returned.

                                The value specified is inclusive; results include data points with the specified time stamp.

                                CloudWatch rounds the specified time stamp as follows:

                                • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.

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                                The time stamp indicating the earliest data to be returned.

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                                CloudWatch rounds the specified time stamp as follows:

                                • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.

                                \n@param startTime The time stamp indicating the earliest data to be returned.

                                The value specified is inclusive; results include data points with the specified time stamp.

                                CloudWatch rounds the specified time stamp as follows:

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                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

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                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.\n@return Returns a reference to this object so that method calls can be chained together.", "fluentSetterMethodName" : "startTime", "getterDocumentation" : "

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                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

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                                If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.

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                                • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

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                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.", "getterModel" : { "returnType" : "java.time.Instant", "documentation" : null }, "http" : { "additionalMarshallingPath" : null, "additionalUnmarshallingPath" : null, "flattened" : false, "greedy" : false, "header" : false, "isPayload" : false, "isStreaming" : false, "location" : null, "marshallLocation" : "PAYLOAD", "marshallLocationName" : "StartTime", "queryString" : false, "requiresLength" : false, "statusCode" : false, "unmarshallLocationName" : "StartTime", "uri" : false }, "idempotencyToken" : false, "isBinary" : false, "jsonValue" : false, "list" : false, "listModel" : null, "map" : false, "mapModel" : null, "marshallingType" : "INSTANT", "name" : "StartTime", "sensitive" : false, "setterDocumentation" : "

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                                For better performance, specify StartTime and EndTime values that align with the value of the metric's Period and sync up with the beginning and end of an hour. For example, if the Period of a metric is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster response from CloudWatch than setting 12:07 or 12:29 as the StartTime.

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                                                    The value specified is inclusive; results include data points with the specified time stamp. In a raw HTTP query, the time stamp must be in ISO 8601 UTC format (for example, 2016-10-03T23:00:00Z).

                                                    CloudWatch rounds the specified time stamp as follows:

                                                    • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                                    • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                                    • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                                    If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                                    \n@param startTime The time stamp that determines the first data point to return. Start times are evaluated relative to the time that CloudWatch receives the request.

                                                    The value specified is inclusive; results include data points with the specified time stamp. In a raw HTTP query, the time stamp must be in ISO 8601 UTC format (for example, 2016-10-03T23:00:00Z).

                                                    CloudWatch rounds the specified time stamp as follows:

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                                                    • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                                    If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.\n@return Returns a reference to this object so that method calls can be chained together.\n@deprecated Use {@link #startTime(Instant)}\n", "documentation" : "

                                                    The time stamp that determines the first data point to return. Start times are evaluated relative to the time that CloudWatch receives the request.

                                                    The value specified is inclusive; results include data points with the specified time stamp. In a raw HTTP query, the time stamp must be in ISO 8601 UTC format (for example, 2016-10-03T23:00:00Z).

                                                    CloudWatch rounds the specified time stamp as follows:

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                                                    The time stamp that determines the first data point to return. Start times are evaluated relative to the time that CloudWatch receives the request.

                                                    The value specified is inclusive; results include data points with the specified time stamp. In a raw HTTP query, the time stamp must be in ISO 8601 UTC format (for example, 2016-10-03T23:00:00Z).

                                                    CloudWatch rounds the specified time stamp as follows:

                                                    • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                                    • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

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                                                    If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

                                                    \n@param startTime The time stamp that determines the first data point to return. Start times are evaluated relative to the time that CloudWatch receives the request.

                                                    The value specified is inclusive; results include data points with the specified time stamp. In a raw HTTP query, the time stamp must be in ISO 8601 UTC format (for example, 2016-10-03T23:00:00Z).

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                                                    The time stamp that determines the first data point to return. Start times are evaluated relative to the time that CloudWatch receives the request.

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                                                    CloudWatch rounds the specified time stamp as follows:

                                                    • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

                                                    • Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.

                                                    • Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

                                                    If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

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                                                    If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.

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                                                    The time stamp that determines the first data point to return. Start times are evaluated relative to the time that CloudWatch receives the request.

                                                    The value specified is inclusive; results include data points with the specified time stamp. In a raw HTTP query, the time stamp must be in ISO 8601 UTC format (for example, 2016-10-03T23:00:00Z).

                                                    CloudWatch rounds the specified time stamp as follows:

                                                    • Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.

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                                                    The time stamp that determines the last data point to return.

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                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

                                                                                            \nThis is a convenience that creates an instance of the {@link String.Builder} avoiding the need to create one manually via {@link String#builder()}.\n\nWhen the {@link Consumer} completes, {@link String.Builder#build()} is called immediately and its result is passed to {@link #alarmRule(String)}.\n@param alarmRule a consumer that will call methods on {@link String.Builder}\n@return Returns a reference to this object so that method calls can be chained together.\n@see #alarmRule(String)", "deprecated" : false, "deprecatedBeanStyleSetterMethodName" : null, "deprecatedFluentGetterMethodName" : null, "deprecatedFluentSetterMethodName" : null, "deprecatedGetterDocumentation" : "

                                                                                            An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

                                                                                            \n@return An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.\n@deprecated Use {@link #alarmRule()}\n", "deprecatedName" : null, "deprecatedSetterDocumentation" : "

                                                                                            An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

                                                                                            \n@param alarmRule An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.\n@return Returns a reference to this object so that method calls can be chained together.\n@deprecated Use {@link #alarmRule(String)}\n", "documentation" : "

                                                                                            An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

                                                                                            ", "endpointDiscoveryId" : false, "enumType" : null, "eventHeader" : false, "eventPayload" : false, "existenceCheckDocumentation" : "Returns true if the AlarmRule property was specified by the sender (it may be empty), or false if the sender did not specify the value (it will be empty). For responses returned by the SDK, the sender is the AWS service.\n", "existenceCheckMethodName" : "hasAlarmRule", "fluentEnumGetterMethodName" : null, "fluentEnumSetterMethodName" : null, "fluentGetterMethodName" : "alarmRule", "fluentSetterDocumentation" : "

                                                                                            An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

                                                                                            \n@param alarmRule An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.\n@return Returns a reference to this object so that method calls can be chained together.", "fluentSetterMethodName" : "alarmRule", "getterDocumentation" : "

                                                                                            An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

                                                                                            \n@return An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.", "getterModel" : { "returnType" : "String", "documentation" : null }, "http" : { "additionalMarshallingPath" : null, "additionalUnmarshallingPath" : null, "flattened" : false, "greedy" : false, "header" : false, "isPayload" : false, "isStreaming" : false, "location" : null, "marshallLocation" : "PAYLOAD", "marshallLocationName" : "AlarmRule", "queryString" : false, "requiresLength" : false, "statusCode" : false, "unmarshallLocationName" : "AlarmRule", "uri" : false }, "idempotencyToken" : false, "isBinary" : false, "jsonValue" : false, "list" : false, "listModel" : null, "map" : false, "mapModel" : null, "marshallingType" : "STRING", "name" : "AlarmRule", "sensitive" : false, "setterDocumentation" : "

                                                                                            An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

                                                                                            \n@param alarmRule An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.", "setterMethodName" : "setAlarmRule", "setterModel" : { "variableDeclarationType" : "String", "variableName" : "alarmRule", "variableType" : "String", "documentation" : null, "simpleType" : "String", "variableSetterType" : "String" }, "simple" : true, "timestampFormat" : null, "variable" : { "variableDeclarationType" : "String", "variableName" : "alarmRule", "variableType" : "String", "documentation" : "

                                                                                            An expression that specifies which other alarms are to be evaluated to determine this composite alarm's state. For each alarm that you reference, you designate a function that specifies whether that alarm needs to be in ALARM state, OK state, or INSUFFICIENT_DATA state. You can use operators (AND, OR and NOT) to combine multiple functions in a single expression. You can use parenthesis to logically group the functions in your expression.

                                                                                            You can use either alarm names or ARNs to reference the other alarms that are to be evaluated.

                                                                                            Functions can include the following:

                                                                                            • ALARM(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in ALARM state.

                                                                                            • OK(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in OK state.

                                                                                            • INSUFFICIENT_DATA(\"alarm-name or alarm-ARN\") is TRUE if the named alarm is in INSUFFICIENT_DATA state.

                                                                                            • TRUE always evaluates to TRUE.

                                                                                            • FALSE always evaluates to FALSE.

                                                                                            TRUE and FALSE are useful for testing a complex AlarmRule structure, and for testing your alarm actions.

                                                                                            Alarm names specified in AlarmRule can be surrounded with double-quotes (\"), but do not have to be.

                                                                                            The following are some examples of AlarmRule:

                                                                                            • ALARM(CPUUtilizationTooHigh) AND ALARM(DiskReadOpsTooHigh) specifies that the composite alarm goes into ALARM state only if both CPUUtilizationTooHigh and DiskReadOpsTooHigh alarms are in ALARM state.

                                                                                            • ALARM(CPUUtilizationTooHigh) AND NOT ALARM(DeploymentInProgress) specifies that the alarm goes to ALARM state if CPUUtilizationTooHigh is in ALARM state and DeploymentInProgress is not in ALARM state. This example reduces alarm noise during a known deployment window.

                                                                                            • (ALARM(CPUUtilizationTooHigh) OR ALARM(DiskReadOpsTooHigh)) AND OK(NetworkOutTooHigh) goes into ALARM state if CPUUtilizationTooHigh OR DiskReadOpsTooHigh is in ALARM state, and if NetworkOutTooHigh is in OK state. This provides another example of using a composite alarm to prevent noise. This rule ensures that you are not notified with an alarm action on high CPU or disk usage if a known network problem is also occurring.

                                                                                            The AlarmRule can specify as many as 100 \"children\" alarms. The AlarmRule expression can have as many as 500 elements. Elements are child alarms, TRUE or FALSE statements, and parentheses.

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                                                                                            Valid Values (for use with IAM roles): arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

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                                                                                            The actions to execute when this alarm transitions to the ALARM state from any other state. Each action is specified as an Amazon Resource Name (ARN).

                                                                                            Valid Values: arn:aws:automate:region:ec2:stop | arn:aws:automate:region:ec2:terminate | arn:aws:automate:region:ec2:recover | arn:aws:automate:region:ec2:reboot | arn:aws:sns:region:account-id:sns-topic-name | arn:aws:autoscaling:region:account-id:scalingPolicy:policy-id:autoScalingGroupName/group-friendly-name:policyName/policy-friendly-name

                                                                                            Valid Values (for use with IAM roles): arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

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                                                                                            Valid Values (for use with IAM roles): arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0", "setterMethodName" : "setAlarmActions", "setterModel" : { "variableDeclarationType" : "java.util.List", "variableName" : "alarmActions", "variableType" : "java.util.List", "documentation" : null, "simpleType" : "List", "variableSetterType" : "java.util.Collection" }, "simple" : false, "timestampFormat" : null, "variable" : { "variableDeclarationType" : "java.util.List", "variableName" : "alarmActions", "variableType" : "java.util.List", "documentation" : "

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                                                                                            Valid Values (for use with IAM roles): arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

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                                                                                            The actions to execute when this alarm transitions to the INSUFFICIENT_DATA state from any other state. Each action is specified as an Amazon Resource Name (ARN).

                                                                                            Valid Values: arn:aws:automate:region:ec2:stop | arn:aws:automate:region:ec2:terminate | arn:aws:automate:region:ec2:recover | arn:aws:automate:region:ec2:reboot | arn:aws:sns:region:account-id:sns-topic-name | arn:aws:autoscaling:region:account-id:scalingPolicy:policy-id:autoScalingGroupName/group-friendly-name:policyName/policy-friendly-name

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                                                                                            \nThis is a convenience that creates an instance of the {@link List.Builder} avoiding the need to create one manually via {@link List#builder()}.\n\nWhen the {@link Consumer} completes, {@link List.Builder#build()} is called immediately and its result is passed to {@link #insufficientDataActions(List)}.\n@param insufficientDataActions a consumer that will call methods on {@link List.Builder}\n@return Returns a reference to this object so that method calls can be chained together.\n@see #insufficientDataActions(List)", "deprecated" : false, "deprecatedBeanStyleSetterMethodName" : null, "deprecatedFluentGetterMethodName" : null, "deprecatedFluentSetterMethodName" : null, "deprecatedGetterDocumentation" : "

                                                                                            The actions to execute when this alarm transitions to the INSUFFICIENT_DATA state from any other state. Each action is specified as an Amazon Resource Name (ARN).

                                                                                            Valid Values: arn:aws:automate:region:ec2:stop | arn:aws:automate:region:ec2:terminate | arn:aws:automate:region:ec2:recover | arn:aws:automate:region:ec2:reboot | arn:aws:sns:region:account-id:sns-topic-name | arn:aws:autoscaling:region:account-id:scalingPolicy:policy-id:autoScalingGroupName/group-friendly-name:policyName/policy-friendly-name

                                                                                            Valid Values (for use with IAM roles): >arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

                                                                                            \n

                                                                                            \nAttempts to modify the collection returned by this method will result in an UnsupportedOperationException.\n

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                                                                                            \nYou can use {@link #hasInsufficientDataActions()} to see if a value was sent in this field.\n

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                                                                                            Valid Values (for use with IAM roles): >arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0\n@deprecated Use {@link #insufficientDataActions()}\n", "deprecatedName" : null, "deprecatedSetterDocumentation" : "

                                                                                            The actions to execute when this alarm transitions to the INSUFFICIENT_DATA state from any other state. Each action is specified as an Amazon Resource Name (ARN).

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                                                                                            Valid Values (for use with IAM roles): >arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

                                                                                            \n@param insufficientDataActions The actions to execute when this alarm transitions to the INSUFFICIENT_DATA state from any other state. Each action is specified as an Amazon Resource Name (ARN).

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                                                                                            Valid Values (for use with IAM roles): >arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0\n@return Returns a reference to this object so that method calls can be chained together.\n@deprecated Use {@link #insufficientDataActions(List)}\n", "documentation" : "

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                                                                                            Valid Values (for use with IAM roles): >arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

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                                                                                            Valid Values (for use with IAM roles): >arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

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                                                                                            Valid Values (for use with IAM roles): >arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Stop/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Terminate/1.0 | arn:aws:swf:region:account-id:action/actions/AWS_EC2.InstanceId.Reboot/1.0

                                                                                            \n

                                                                                            \nAttempts to modify the collection returned by this method will result in an UnsupportedOperationException.\n

                                                                                            \n

                                                                                            \nYou can use {@link #hasInsufficientDataActions()} to see if a value was sent in this field.\n

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